diff --git "a/INT8/unet_int8a16.xml" "b/INT8/unet_int8a16.xml"
new file mode 100644--- /dev/null
+++ "b/INT8/unet_int8a16.xml"
@@ -0,0 +1,93546 @@
+<?xml version="1.0"?>
+<net name="main_graph" version="11">
+	<layers>
+		<layer id="2" name="latent_model_input" type="Parameter" version="opset1">
+			<data shape="1,4,64,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="latent_model_input">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="t" type="Parameter" version="opset1">
+			<data shape="1" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="/Expand_output_0,t">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="encoder_hidden_states" type="Parameter" version="opset1">
+			<data shape="1,77,768" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="encoder_hidden_states">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_23382" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="0" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_23381" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1280" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Constant_23378" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="11520" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Constant_23375" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="12800" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Constant_23365" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="14080" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_23364" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="15360" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_23361" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="25600" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Constant_23358" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="26880" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_23348" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="28160" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Constant_23347" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="29440" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Constant_23344" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="39680" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Constant_23341" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="40960" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_23331" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="42240" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Constant_23330" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="44800" size="20480" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_23327" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="65280" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Constant_23324" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="67840" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_23314" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="70400" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Constant_23313" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="72960" size="20480" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Constant_23310" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="93440" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Constant_23307" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="96000" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_23297" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="98560" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Constant_23296" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="101120" size="20480" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Constant_23293" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="121600" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_23290" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="124160" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_23280" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="126720" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="Constant_23279" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="131840" size="40960" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="Constant_23276" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="172800" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="Constant_23273" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="177920" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_23263" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="183040" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="Constant_23262" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="188160" size="40960" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Constant_23259" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="229120" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Constant_23256" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="234240" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Constant_23246" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="239360" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="Constant_23245" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="244480" size="40960" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="Constant_23242" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="285440" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="Constant_23239" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="290560" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Constant_23209" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="295680" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="Constant_23208" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="300800" size="40960" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="Constant_23205" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="341760" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="Constant_23202" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="346880" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="Constant_23182" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="352000" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="Constant_23181" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="357120" size="40960" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="Constant_23178" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="398080" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="Constant_23175" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="403200" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="Constant_23165" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="408320" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="Constant_23164" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 10240" offset="413440" size="40960" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="Constant_23161" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="454400" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="Constant_23158" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="459520" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="Constant_23148" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="464640" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="Constant_23147" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="467200" size="20480" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="Constant_23144" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="487680" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="Constant_23141" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="490240" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="Constant_23131" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="492800" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="Constant_23130" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 5120" offset="495360" size="20480" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="Constant_23127" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="515840" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="Constant_23124" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="518400" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="Constant_23114" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="520960" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="Constant_23113" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="522240" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="Constant_23110" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="532480" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="Constant_23107" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="533760" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="Constant_23097" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="535040" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="Constant_23096" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="536320" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="Constant_23093" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="546560" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="Constant_23090" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="547840" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="latent_model_input/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="549120" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="68" name="latent_model_input/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="549124" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="69" name="latent_model_input/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="549120" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="70" name="latent_model_input/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="549124" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="71" name="latent_model_input/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="Constant_1166379" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 4, 3, 3" offset="549128" size="11520" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="Convert_1166380" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="74" name="Constant_1166381" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="560648" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="/conv_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="/conv_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="Reshape_751" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="561928" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="/conv_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="/down_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="/down_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Constant_759" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="MVN_760" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="/down_blocks.0/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="/down_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="Constant_23079" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="563240" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="86" name="/down_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="Constant_23080" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="564520" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="/down_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="/down_blocks.0/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="/down_blocks.0/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="91" name="/down_blocks.0/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="92" name="/down_blocks.0/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="93" name="/down_blocks.0/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="94" name="/down_blocks.0/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="Constant_1166383" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="565808" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Convert_1166384" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="Constant_1166385" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="1487408" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="/down_blocks.0/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="/down_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="Reshape_808" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="1488688" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="/down_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="/time_proj/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="/time_proj/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/time_proj/Cast_output_0,/time_proj/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="/time_proj/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 160" offset="1489976" size="640" />
+			<output>
+				<port id="0" precision="FP32" names="/time_proj/Constant_1_output_0">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="/time_proj/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/time_proj/Mul_output_0">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="/time_proj/Sin" type="Sin" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/time_proj/Sin_output_0">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="/time_proj/Cos" type="Cos" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/time_proj/Cos_output_0">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="/time_proj/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/time_proj/Concat_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="/time_proj/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490616" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="/time_proj/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="/time_proj/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="/time_proj/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="/time_proj/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/time_proj/Slice_output_0">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="/time_proj/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_7_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="/time_proj/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490616" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_8_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="/time_proj/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_9_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="/time_proj/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/time_proj/Constant_6_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="/time_proj/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/time_proj/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="/time_proj/Concat_1" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Cast_output_0,/time_proj/Concat_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="time_embedding.linear_1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 320" offset="1490640" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="Convert_90990" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="time_embedding.linear_1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="1900240" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="Convert_90993" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="time_embedding.linear_1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="time_embedding.linear_1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="1901520" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="time_embedding.linear_1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="time_embedding.linear_1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="/time_embedding/linear_1/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="Constant_23081" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="1904080" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="/time_embedding/linear_1/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/time_embedding/linear_1/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="/time_embedding/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/time_embedding/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="time_embedding.linear_2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="1909200" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="Convert_90044" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="time_embedding.linear_2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="3547600" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="Convert_90047" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="time_embedding.linear_2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="time_embedding.linear_2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="3548880" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="138" name="time_embedding.linear_2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="time_embedding.linear_2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="/time_embedding/linear_2/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="Constant_23082" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="3551440" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="/time_embedding/linear_2/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/time_embedding/linear_2/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="/down_blocks.0/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="down_blocks.0.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="3556560" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="Convert_91023" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="down_blocks.0.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="3966160" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="Convert_91026" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="down_blocks.0.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="down_blocks.0.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="3966480" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="150" name="down_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="down_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="/down_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="Constant_23083" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="3967120" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="154" name="/down_blocks.0/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="/down_blocks.0/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="/down_blocks.0/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="/down_blocks.0/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="/down_blocks.0/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="/down_blocks.0/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="/down_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="/down_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="Constant_829" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="MVN_830" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="/down_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="/down_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="166" name="Constant_23084" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="3968408" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="/down_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="168" name="Constant_23085" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="3969688" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="/down_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="/down_blocks.0/resnets.0/act_2/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/resnets.0/act_2/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="/down_blocks.0/resnets.0/act_2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="172" name="/down_blocks.0/resnets.0/act_2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970972" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="173" name="/down_blocks.0/resnets.0/act_2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="174" name="/down_blocks.0/resnets.0/act_2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970972" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="175" name="/down_blocks.0/resnets.0/act_2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="176" name="Constant_1166387" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="3970976" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="Convert_1166388" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="Constant_1166389" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="4892576" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="/down_blocks.0/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="/down_blocks.0/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="Reshape_878" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="4893856" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="/down_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="/down_blocks.0/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.0/Add_1_output_0,/down_blocks.0/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="/down_blocks.0/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="/down_blocks.0/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="Constant_889" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="MVN_890" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="/down_blocks.0/attentions.0/norm/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.0/norm/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="/down_blocks.0/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="Constant_23086" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="4895136" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="/down_blocks.0/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="Constant_23087" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="4896416" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="/down_blocks.0/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="/down_blocks.0/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="4897696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="195" name="/down_blocks.0/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="4897700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="196" name="/down_blocks.0/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="4897696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="197" name="/down_blocks.0/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="4897700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="198" name="/down_blocks.0/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="Constant_1166391" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="4897704" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="Convert_1166392" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="Constant_1166393" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="5000104" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="202" name="/down_blocks.0/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="203" name="/down_blocks.0/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="204" name="Reshape_936" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="5001384" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="/down_blocks.0/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="Constant_940" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="/down_blocks.0/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="/down_blocks.0/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5002696" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="209" name="/down_blocks.0/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="Range_947" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="MVN_948" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="212" name="Constant_23088" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="5002728" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="213" name="Multiply_949" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Constant_23089" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="5004008" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="216" name="Transpose_20550" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="5005288" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="Convert_91562" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="Transpose_20550/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5107688" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="Convert_91565" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="Transpose_20550/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="Transpose_20550/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5108008" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="Transpose_20550/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="Transpose_20550/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="Constant_958" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="Broadcast_969" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="Constant_974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5108716" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="242" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5108720" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="243" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5108716" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="244" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5108720" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="245" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="Transpose_20555" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="5108724" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="Convert_91573" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="Transpose_20555/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5211124" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="Convert_91576" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="Transpose_20555/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="Transpose_20555/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5211444" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="Transpose_20555/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="Transpose_20555/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="Constant_982" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5212084" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="261" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5212088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="262" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5212084" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="263" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5212088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="264" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="Transpose_20560" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="5212092" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="Convert_91551" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="Transpose_20560/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5314492" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="Convert_91554" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="Transpose_20560/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="Transpose_20560/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5314812" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="Transpose_20560/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="Transpose_20560/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="Constant_962" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="Constant_991" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="Transpose_20563" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="5315476" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="Convert_91584" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="Transpose_20563/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5417876" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="Convert_91587" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="Transpose_20563/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="Transpose_20563/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5418196" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="Transpose_20563/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="Transpose_20563/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="Range_1004" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="MVN_1005" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="Constant_23091" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="5418836" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="Multiply_1006" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="Constant_23092" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="5420116" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="Transpose_20576" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="5421396" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="Convert_91595" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="Transpose_20576/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5523796" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="Convert_91598" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="Transpose_20576/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="Transpose_20576/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5524116" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="Transpose_20576/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="Transpose_20576/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="Constant_1015" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="Broadcast_1026" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="Constant_1031" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5524756" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="328" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5524760" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="329" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5524756" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="330" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5524760" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="331" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="332" name="Transpose_20581" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="5524764" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="Convert_91452" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="Transpose_20581/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="5770524" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="Convert_91455" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="Transpose_20581/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="Transpose_20581/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="5770844" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="Transpose_20581/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="Transpose_20581/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="Constant_1039" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="344" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5771484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="347" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5771488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="348" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5771484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="349" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="5771488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="350" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="Transpose_20586" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="5771492" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="354" name="Convert_91441" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="Transpose_20586/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="6017252" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="356" name="Convert_91444" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="357" name="Transpose_20586/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="Transpose_20586/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="6017572" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="Transpose_20586/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="Transpose_20586/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="Constant_1019" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="Constant_1048" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="Transpose_20589" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="6018212" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="Convert_91606" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="Transpose_20589/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="6120612" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="Convert_91609" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="Transpose_20589/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="Transpose_20589/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="6120932" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="Transpose_20589/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="Transpose_20589/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="Range_1061" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="MVN_1062" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="384" name="Constant_23094" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="6121572" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="Multiply_1063" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="Constant_23095" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="6122852" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="/down_blocks.0/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" name="Transpose_20602" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="6124132" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="Convert_90770" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="390" name="Transpose_20602/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="6943332" size="2560" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="Convert_90773" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="Transpose_20602/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="393" name="Transpose_20602/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="6945892" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="394" name="Transpose_20602/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="395" name="Transpose_20602/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="400" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="Constant_1069" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="402" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="403" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="405" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="406" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="Broadcast_1080" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="408" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="409" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="Broadcast_1130" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="412" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="414" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="Transpose_20620" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="6951012" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="Convert_91034" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="417" name="Transpose_20620/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="7360612" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="Convert_91037" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="Transpose_20620/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="Transpose_20620/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="7360932" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="Transpose_20620/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="Transpose_20620/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="425" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7361572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="427" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7361576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="428" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7361572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="429" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7361576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="430" name="/down_blocks.0/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="/down_blocks.0/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361580" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="/down_blocks.0/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="Constant_1190" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="/down_blocks.0/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="Constant_1166395" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="7361644" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="Convert_1166396" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="Constant_1166397" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="7464044" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="/down_blocks.0/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="/down_blocks.0/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="Reshape_1204" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="7465324" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="/down_blocks.0/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="/down_blocks.0/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="/down_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="/down_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="445" name="Constant_1213" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="MVN_1214" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="Constant_25111" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="/down_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="Constant_23098" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="7466636" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="/down_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="Constant_23099" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="7467916" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="/down_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="/down_blocks.0/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="454" name="/down_blocks.0/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="455" name="/down_blocks.0/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7469196" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="456" name="/down_blocks.0/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="457" name="/down_blocks.0/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7469196" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="458" name="/down_blocks.0/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="Constant_1166399" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="7469200" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="Convert_1166400" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="Constant_1166401" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="8390800" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="/down_blocks.0/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="/down_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="Reshape_1262" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="8392080" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="/down_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="down_blocks.0.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="8393360" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="Convert_91056" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="468" name="down_blocks.0.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="8802960" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="Convert_91059" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="down_blocks.0.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="471" name="down_blocks.0.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="8803280" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="down_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="down_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="/down_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="Constant_23100" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="8803920" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="/down_blocks.0/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="/down_blocks.0/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="/down_blocks.0/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="/down_blocks.0/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="/down_blocks.0/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="/down_blocks.0/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="/down_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="/down_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="Constant_1281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="MVN_1282" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="Constant_25112" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="/down_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="Constant_23101" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="8805200" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="/down_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="Constant_23102" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="8806480" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="491" name="/down_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="492" name="/down_blocks.0/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="/down_blocks.0/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="494" name="/down_blocks.0/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="8807760" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="495" name="/down_blocks.0/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="496" name="/down_blocks.0/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="8807760" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="497" name="/down_blocks.0/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="498" name="Constant_1166403" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="8807764" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="499" name="Convert_1166404" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="Constant_1166405" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="9729364" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="/down_blocks.0/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="/down_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="Reshape_1330" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="9730644" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="/down_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="/down_blocks.0/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/resnets.1/Add_1_output_0,/down_blocks.0/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="506" name="/down_blocks.0/attentions.1/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="/down_blocks.0/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="508" name="Constant_1341" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="MVN_1342" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="510" name="Constant_25113" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="511" name="/down_blocks.0/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="Constant_23103" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="9731924" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="/down_blocks.0/attentions.1/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="Constant_23104" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="9733204" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="515" name="/down_blocks.0/attentions.1/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="/down_blocks.0/attentions.1/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9734484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="517" name="/down_blocks.0/attentions.1/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9734488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="518" name="/down_blocks.0/attentions.1/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9734484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="519" name="/down_blocks.0/attentions.1/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9734488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="520" name="/down_blocks.0/attentions.1/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="Constant_1166407" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="9734492" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="522" name="Convert_1166408" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="523" name="Constant_1166409" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="9836892" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="524" name="/down_blocks.0/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="/down_blocks.0/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="Reshape_1388" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="9838172" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="/down_blocks.0/attentions.1/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="528" name="Constant_1392" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="529" name="/down_blocks.0/attentions.1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="/down_blocks.0/attentions.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5002696" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="531" name="/down_blocks.0/attentions.1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="Range_1399" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="MVN_1400" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="534" name="Constant_23105" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="9839452" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="Multiply_1401" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="Constant_23106" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="9840732" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="538" name="Transpose_20663" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="9842012" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="539" name="Convert_91628" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="Transpose_20663/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="9944412" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="Convert_91631" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="Transpose_20663/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="Transpose_20663/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="9944732" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="544" name="Transpose_20663/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="Transpose_20663/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="549" name="Constant_1410" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="Broadcast_1421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="Constant_1426" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="557" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Cast_1_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Sqrt_1_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9945372" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="564" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9945376" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="565" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9945372" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="566" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9945376" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="567" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="Transpose_20668" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="9945380" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="Convert_91639" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="Transpose_20668/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10047780" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="Convert_91642" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="572" name="Transpose_20668/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="573" name="Transpose_20668/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10048100" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="Transpose_20668/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="Transpose_20668/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="Constant_1434" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="581" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10048740" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="583" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10048744" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="584" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10048740" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="585" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10048744" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="586" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="587" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="588" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="Transpose_20673" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="10048748" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="Convert_91617" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="591" name="Transpose_20673/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10151148" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="592" name="Convert_91620" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="Transpose_20673/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="Transpose_20673/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10151468" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="595" name="Transpose_20673/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="Transpose_20673/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="Constant_1414" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="602" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="603" name="Constant_1443" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="606" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Cast_2_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="607" name="Transpose_20676" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="10152108" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="Convert_91650" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="609" name="Transpose_20676/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10254508" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="Convert_91653" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="611" name="Transpose_20676/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="Transpose_20676/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10254828" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="Transpose_20676/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="614" name="Transpose_20676/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="616" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn1/Div_1_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="618" name="Range_1456" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="MVN_1457" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="Constant_23108" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="10255468" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="621" name="Multiply_1458" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="Constant_23109" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="10256748" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="623" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="624" name="Transpose_20689" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="10258028" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="625" name="Convert_91661" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="Transpose_20689/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10360428" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="Convert_91664" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="Transpose_20689/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="Transpose_20689/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10360748" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="Transpose_20689/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="Transpose_20689/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="633" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="635" name="Constant_1467" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="637" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="640" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="Broadcast_1478" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="642" name="Constant_1483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="643" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Cast_1_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="647" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Sqrt_1_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="648" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10361388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="650" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10361392" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="651" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10361388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="652" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10361392" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="653" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="654" name="Transpose_20694" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="10361396" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="655" name="Convert_91474" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="Transpose_20694/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10607156" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="657" name="Convert_91477" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="658" name="Transpose_20694/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="Transpose_20694/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10607476" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="660" name="Transpose_20694/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="661" name="Transpose_20694/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="662" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="663" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="665" name="Constant_1491" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="666" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="667" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="668" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10608116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="669" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10608120" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="670" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10608116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="671" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="10608120" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="672" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="673" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="674" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="Transpose_20699" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="10608124" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="Convert_91463" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="677" name="Transpose_20699/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10853884" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="Convert_91466" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="679" name="Transpose_20699/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="680" name="Transpose_20699/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10854204" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="681" name="Transpose_20699/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="Transpose_20699/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="684" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="685" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="686" name="Constant_1471" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="687" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="688" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="689" name="Constant_1500" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="690" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="691" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="692" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Cast_2_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="693" name="Transpose_20702" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="10854844" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="694" name="Convert_91672" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="695" name="Transpose_20702/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="10957244" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="696" name="Convert_91675" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="697" name="Transpose_20702/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="Transpose_20702/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="10957564" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="699" name="Transpose_20702/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="700" name="Transpose_20702/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="701" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/attn2/Div_1_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="703" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="704" name="Range_1513" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="705" name="MVN_1514" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="706" name="Constant_23111" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="10958204" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="707" name="Multiply_1515" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="708" name="Constant_23112" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="10959484" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="709" name="/down_blocks.0/attentions.1/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="710" name="Transpose_20715" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="10960764" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="711" name="Convert_90781" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="712" name="Transpose_20715/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="11779964" size="2560" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="713" name="Convert_90784" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="714" name="Transpose_20715/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="715" name="Transpose_20715/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="11782524" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="716" name="Transpose_20715/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="717" name="Transpose_20715/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="718" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="719" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="720" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="721" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="722" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="723" name="Constant_1521" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="724" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="725" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="726" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="727" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="728" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="729" name="Broadcast_1532" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="730" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="731" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="732" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="733" name="Broadcast_1582" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="734" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="735" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="736" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="737" name="Transpose_20733" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="11787644" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="738" name="Convert_91067" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="739" name="Transpose_20733/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="12197244" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="740" name="Convert_91070" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="741" name="Transpose_20733/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="742" name="Transpose_20733/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="12197564" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="743" name="Transpose_20733/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="744" name="Transpose_20733/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="745" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="746" name="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="747" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="748" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12198204" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="749" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12198208" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="750" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12198204" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="751" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12198208" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="752" name="/down_blocks.0/attentions.1/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="753" name="/down_blocks.0/attentions.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361580" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.0/attentions.1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="754" name="/down_blocks.0/attentions.1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="755" name="Constant_1642" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="756" name="/down_blocks.0/attentions.1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="757" name="Constant_1166411" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="12198212" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="758" name="Convert_1166412" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="759" name="Constant_1166413" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="12300612" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="760" name="/down_blocks.0/attentions.1/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="761" name="/down_blocks.0/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="762" name="Reshape_1656" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="12301892" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="763" name="/down_blocks.0/attentions.1/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="764" name="/down_blocks.0/attentions.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/attentions.1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="765" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12303172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="766" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12303176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="767" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12303172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="768" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="12303176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="769" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="770" name="Constant_1166415" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="12303180" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="771" name="Convert_1166416" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="772" name="Constant_1166417" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="13224780" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="773" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="774" name="/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="775" name="Reshape_1673" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="13226060" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="/down_blocks.0/downsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.0/downsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="777" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13227340" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="778" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13227344" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="779" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13227340" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="780" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13227344" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="781" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="782" name="Constant_1166419" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 320, 1, 1" offset="13227348" size="204800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="Convert_1166420" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="784" name="Constant_1166421" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="13432148" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="785" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="786" name="/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="787" name="Reshape_1814" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="13434708" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="788" name="/down_blocks.1/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="789" name="/down_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="790" name="/down_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="791" name="Constant_1681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="792" name="MVN_1682" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="Constant_25114" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13437268" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="794" name="/down_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="795" name="Constant_23115" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="13437300" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="796" name="/down_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="797" name="Constant_23116" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="13438580" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="798" name="/down_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="799" name="/down_blocks.1/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="800" name="/down_blocks.1/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13439860" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="801" name="/down_blocks.1/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13439864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="802" name="/down_blocks.1/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13439860" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="803" name="/down_blocks.1/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="13439864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="804" name="/down_blocks.1/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="805" name="Constant_1166423" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 320, 3, 3" offset="13439868" size="1843200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="806" name="Convert_1166424" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="807" name="Constant_1166425" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="15283068" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="808" name="/down_blocks.1/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="809" name="/down_blocks.1/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="810" name="Reshape_1730" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="15285628" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="811" name="/down_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="812" name="down_blocks.1.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="15288188" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="813" name="Convert_90814" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="814" name="down_blocks.1.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="16107388" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="815" name="Convert_90817" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="816" name="down_blocks.1.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="817" name="down_blocks.1.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="16108028" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="818" name="down_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="819" name="down_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="820" name="/down_blocks.1/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="821" name="Constant_23117" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="16109308" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="822" name="/down_blocks.1/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="823" name="/down_blocks.1/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="824" name="/down_blocks.1/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="825" name="/down_blocks.1/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="826" name="/down_blocks.1/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="827" name="/down_blocks.1/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="828" name="/down_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="829" name="/down_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="830" name="Constant_1749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="831" name="MVN_1750" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="832" name="Constant_25115" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="833" name="/down_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="834" name="Constant_23118" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="16111900" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="835" name="/down_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="836" name="Constant_23119" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="16114460" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="837" name="/down_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="838" name="/down_blocks.1/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="839" name="/down_blocks.1/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="16117020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="840" name="/down_blocks.1/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="16117024" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="841" name="/down_blocks.1/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="16117020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="842" name="/down_blocks.1/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="16117024" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="843" name="/down_blocks.1/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="844" name="Constant_1166427" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="16117028" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="845" name="Convert_1166428" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="846" name="Constant_1166429" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="19803428" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="847" name="/down_blocks.1/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="848" name="/down_blocks.1/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="849" name="Reshape_1798" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="19805988" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="850" name="/down_blocks.1/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="851" name="/down_blocks.1/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.0/Add_1_output_0,/down_blocks.1/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="852" name="/down_blocks.1/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="853" name="/down_blocks.1/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="854" name="Constant_1825" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="855" name="MVN_1826" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="856" name="Constant_25116" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="857" name="/down_blocks.1/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="858" name="Constant_23120" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="19808548" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="859" name="/down_blocks.1/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="860" name="Constant_23121" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="19811108" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="861" name="/down_blocks.1/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="862" name="/down_blocks.1/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="19813668" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="863" name="/down_blocks.1/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="19813672" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="864" name="/down_blocks.1/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="19813668" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="865" name="/down_blocks.1/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="19813672" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="866" name="/down_blocks.1/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="867" name="Constant_1166431" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="19813676" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="868" name="Convert_1166432" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="869" name="Constant_1166433" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="20223276" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="870" name="/down_blocks.1/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="871" name="/down_blocks.1/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="872" name="Reshape_1872" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="20225836" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="873" name="/down_blocks.1/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="874" name="Constant_1876" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="875" name="/down_blocks.1/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="876" name="/down_blocks.1/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20228396" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="877" name="/down_blocks.1/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="878" name="Range_1883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="879" name="MVN_1884" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="880" name="Constant_23122" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="20228420" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="881" name="Multiply_1885" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="882" name="Constant_23123" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="20230980" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="883" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="884" name="Transpose_20780" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="20233540" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="885" name="Convert_91089" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="Transpose_20780/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="20643140" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="887" name="Convert_91092" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="888" name="Transpose_20780/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="889" name="Transpose_20780/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="20643780" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="890" name="Transpose_20780/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="891" name="Transpose_20780/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="892" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="893" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="894" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="895" name="Constant_1894" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="896" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="897" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="898" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="899" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="900" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="901" name="Broadcast_1905" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="902" name="Constant_1910" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="903" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="904" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="905" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="906" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="907" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="908" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="909" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="20645092" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="910" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="20645096" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="911" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="20645092" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="912" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="20645096" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="913" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="914" name="Transpose_20785" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="20645100" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="915" name="Convert_91100" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="916" name="Transpose_20785/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="21054700" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="917" name="Convert_91103" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="918" name="Transpose_20785/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="919" name="Transpose_20785/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="21055340" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="920" name="Transpose_20785/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="921" name="Transpose_20785/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="922" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="923" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="924" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="925" name="Constant_1918" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="926" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="927" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="928" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="21056620" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="929" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="21056624" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="930" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="21056620" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="931" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="21056624" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="932" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="933" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="934" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="935" name="Transpose_20790" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="21056628" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="936" name="Convert_91078" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="937" name="Transpose_20790/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="21466228" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="938" name="Convert_91081" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="939" name="Transpose_20790/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="940" name="Transpose_20790/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="21466868" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="941" name="Transpose_20790/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="942" name="Transpose_20790/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="943" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="944" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="945" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="946" name="Constant_1898" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="947" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="948" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="949" name="Constant_1927" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="950" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="951" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="952" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="953" name="Transpose_20793" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="21468172" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="954" name="Convert_91111" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="955" name="Transpose_20793/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="21877772" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="956" name="Convert_91114" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="957" name="Transpose_20793/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="958" name="Transpose_20793/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="21878412" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="959" name="Transpose_20793/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="960" name="Transpose_20793/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="961" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="962" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="963" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="964" name="Range_1940" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="965" name="MVN_1941" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="966" name="Constant_23125" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="21879692" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="967" name="Multiply_1942" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="968" name="Constant_23126" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="21882252" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="969" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="970" name="Transpose_20806" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="21884812" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="971" name="Convert_91122" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="972" name="Transpose_20806/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="22294412" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="973" name="Convert_91125" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="974" name="Transpose_20806/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="975" name="Transpose_20806/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="22295052" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="976" name="Transpose_20806/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="977" name="Transpose_20806/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="978" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="979" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="980" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="981" name="Constant_1951" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="982" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="983" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="984" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="985" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="986" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="987" name="Broadcast_1962" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="988" name="Constant_1967" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="989" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="990" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="991" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="992" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="993" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="994" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="995" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22296332" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="996" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22296336" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="997" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22296332" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="998" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22296336" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="999" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1000" name="Transpose_20811" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="22296340" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1001" name="Convert_90891" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1002" name="Transpose_20811/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="22787860" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1003" name="Convert_90894" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1004" name="Transpose_20811/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1005" name="Transpose_20811/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="22788500" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1006" name="Transpose_20811/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1007" name="Transpose_20811/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1008" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1009" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1010" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1011" name="Constant_1975" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1012" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1013" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1014" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22789780" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1015" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22789784" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1016" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22789780" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1017" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="22789784" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1018" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1019" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1020" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1021" name="Transpose_20816" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="22789788" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1022" name="Convert_90880" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1023" name="Transpose_20816/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="23281308" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1024" name="Convert_90883" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1025" name="Transpose_20816/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1026" name="Transpose_20816/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="23281948" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1027" name="Transpose_20816/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1028" name="Transpose_20816/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1029" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1030" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1031" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1032" name="Constant_1955" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1033" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1034" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1035" name="Constant_1984" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1036" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1037" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1038" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1039" name="Transpose_20819" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="23283228" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1040" name="Convert_91133" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1041" name="Transpose_20819/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="23692828" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1042" name="Convert_91136" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1043" name="Transpose_20819/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1044" name="Transpose_20819/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="23693468" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1045" name="Transpose_20819/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1046" name="Transpose_20819/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1047" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1048" name="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1049" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1050" name="Range_1997" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1051" name="MVN_1998" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1052" name="Constant_23128" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="23694748" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1053" name="Multiply_1999" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1054" name="Constant_23129" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="23697308" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1055" name="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1056" name="Transpose_20832" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="23699868" size="3276800" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1057" name="Convert_89989" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1058" name="Transpose_20832/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="26976668" size="5120" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1059" name="Convert_89992" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1060" name="Transpose_20832/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1061" name="Transpose_20832/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="26981788" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1062" name="Transpose_20832/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1063" name="Transpose_20832/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1064" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1065" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1066" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1067" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1068" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1069" name="Constant_2005" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1070" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1071" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1072" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1073" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1074" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1075" name="Broadcast_2016" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1076" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1077" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1078" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1079" name="Broadcast_2066" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1080" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1081" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1082" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1083" name="Transpose_20850" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="26992028" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1084" name="Convert_90055" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1085" name="Transpose_20850/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="28630428" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1086" name="Convert_90058" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1087" name="Transpose_20850/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1088" name="Transpose_20850/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="28631068" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1089" name="Transpose_20850/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1090" name="Transpose_20850/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1091" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1092" name="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1093" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1094" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="28632348" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1095" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="28632352" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1096" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="28632348" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1097" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="28632352" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1098" name="/down_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1099" name="/down_blocks.1/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="28632356" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1100" name="/down_blocks.1/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1101" name="Constant_2126" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1102" name="/down_blocks.1/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1103" name="Constant_1166435" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="28632388" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1104" name="Convert_1166436" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1105" name="Constant_1166437" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="29041988" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1106" name="/down_blocks.1/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1107" name="/down_blocks.1/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1108" name="Reshape_2140" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="29044548" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1109" name="/down_blocks.1/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1110" name="/down_blocks.1/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1111" name="/down_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1112" name="/down_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1113" name="Constant_2149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1114" name="MVN_2150" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1115" name="Constant_25117" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1116" name="/down_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1117" name="Constant_23132" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="29047108" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1118" name="/down_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1119" name="Constant_23133" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="29049668" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1120" name="/down_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1121" name="/down_blocks.1/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1122" name="/down_blocks.1/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="29052228" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1123" name="/down_blocks.1/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="29052232" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1124" name="/down_blocks.1/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="29052228" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1125" name="/down_blocks.1/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="29052232" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1126" name="/down_blocks.1/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1127" name="Constant_1166439" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="29052236" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1128" name="Convert_1166440" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1129" name="Constant_1166441" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="32738636" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1130" name="/down_blocks.1/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1131" name="/down_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1132" name="Reshape_2198" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="32741196" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1133" name="/down_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1134" name="down_blocks.1.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="32743756" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1135" name="Convert_90836" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1136" name="down_blocks.1.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="33562956" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1137" name="Convert_90839" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1138" name="down_blocks.1.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1139" name="down_blocks.1.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="33563596" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1140" name="down_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1141" name="down_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1142" name="/down_blocks.1/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1143" name="Constant_23134" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="33564876" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1144" name="/down_blocks.1/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1145" name="/down_blocks.1/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1146" name="/down_blocks.1/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1147" name="/down_blocks.1/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1148" name="/down_blocks.1/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1149" name="/down_blocks.1/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1150" name="/down_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1151" name="/down_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1152" name="Constant_2217" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1153" name="MVN_2218" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1154" name="Constant_25118" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1155" name="/down_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1156" name="Constant_23135" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="33567436" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1157" name="/down_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1158" name="Constant_23136" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="33569996" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1159" name="/down_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1160" name="/down_blocks.1/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1161" name="/down_blocks.1/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1162" name="/down_blocks.1/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="33572556" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1163" name="/down_blocks.1/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1164" name="/down_blocks.1/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="33572556" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1165" name="/down_blocks.1/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1166" name="Constant_1166443" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="33572560" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1167" name="Convert_1166444" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1168" name="Constant_1166445" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="37258960" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1169" name="/down_blocks.1/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1170" name="/down_blocks.1/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1171" name="Reshape_2266" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="37261520" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1172" name="/down_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1173" name="/down_blocks.1/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/resnets.1/Add_1_output_0,/down_blocks.1/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1174" name="/down_blocks.1/attentions.1/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1175" name="/down_blocks.1/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1176" name="Constant_2277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1177" name="MVN_2278" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1178" name="Constant_25119" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1179" name="/down_blocks.1/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1180" name="Constant_23137" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="37264080" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1181" name="/down_blocks.1/attentions.1/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1182" name="Constant_23138" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="37266640" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1183" name="/down_blocks.1/attentions.1/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1184" name="/down_blocks.1/attentions.1/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="37269200" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1185" name="/down_blocks.1/attentions.1/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="37269204" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1186" name="/down_blocks.1/attentions.1/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="37269200" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1187" name="/down_blocks.1/attentions.1/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="37269204" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1188" name="/down_blocks.1/attentions.1/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1189" name="Constant_1166447" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="37269208" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1190" name="Convert_1166448" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1191" name="Constant_1166449" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="37678808" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1192" name="/down_blocks.1/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1193" name="/down_blocks.1/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1194" name="Reshape_2324" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="37681368" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1195" name="/down_blocks.1/attentions.1/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1196" name="Constant_2328" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1197" name="/down_blocks.1/attentions.1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1198" name="/down_blocks.1/attentions.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20228396" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1199" name="/down_blocks.1/attentions.1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1200" name="Range_2335" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1201" name="MVN_2336" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1202" name="Constant_23139" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="37683928" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1203" name="Multiply_2337" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1204" name="Constant_23140" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="37686488" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1205" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1206" name="Transpose_20893" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="37689048" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1207" name="Convert_91155" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1208" name="Transpose_20893/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="38098648" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1209" name="Convert_91158" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1210" name="Transpose_20893/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1211" name="Transpose_20893/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="38099288" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1212" name="Transpose_20893/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1213" name="Transpose_20893/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1214" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1215" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1216" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1217" name="Constant_2346" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1218" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1219" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1220" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1221" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1222" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1223" name="Broadcast_2357" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1224" name="Constant_2362" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1225" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1226" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1227" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1228" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast_1_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1229" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_1_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1230" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1231" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38100568" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1232" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38100572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1233" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38100568" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1234" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38100572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1235" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1236" name="Transpose_20898" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="38100576" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1237" name="Convert_91166" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1238" name="Transpose_20898/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="38510176" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1239" name="Convert_91169" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1240" name="Transpose_20898/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1241" name="Transpose_20898/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="38510816" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1242" name="Transpose_20898/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1243" name="Transpose_20898/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1244" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1245" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1246" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1247" name="Constant_2370" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1248" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1249" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1250" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38512096" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1251" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38512100" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1252" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38512096" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1253" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="38512100" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1254" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1255" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1256" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1257" name="Transpose_20903" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="38512104" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1258" name="Convert_91144" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1259" name="Transpose_20903/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="38921704" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1260" name="Convert_91147" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1261" name="Transpose_20903/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1262" name="Transpose_20903/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="38922344" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1263" name="Transpose_20903/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1264" name="Transpose_20903/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1265" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1266" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1267" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1268" name="Constant_2350" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1269" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1270" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1271" name="Constant_2379" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1272" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1273" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1274" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast_2_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1275" name="Transpose_20906" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="38923624" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1276" name="Convert_91177" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1277" name="Transpose_20906/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="39333224" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1278" name="Convert_91180" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1279" name="Transpose_20906/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1280" name="Transpose_20906/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="39333864" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1281" name="Transpose_20906/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1282" name="Transpose_20906/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1283" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1284" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn1/Div_1_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1285" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1286" name="Range_2392" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1287" name="MVN_2393" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1288" name="Constant_23142" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="39335144" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1289" name="Multiply_2394" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1290" name="Constant_23143" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="39337704" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1291" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1292" name="Transpose_20919" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="39340264" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1293" name="Convert_91188" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1294" name="Transpose_20919/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="39749864" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1295" name="Convert_91191" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1296" name="Transpose_20919/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1297" name="Transpose_20919/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="39750504" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1298" name="Transpose_20919/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1299" name="Transpose_20919/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1300" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1301" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1302" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1303" name="Constant_2403" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1304" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1305" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1306" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1307" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1308" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1309" name="Broadcast_2414" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1310" name="Constant_2419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1311" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1312" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1313" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1314" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast_1_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1315" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_1_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1316" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1317" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="39751784" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1318" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="39751788" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1319" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="39751784" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1320" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="39751788" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1321" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1322" name="Transpose_20924" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="39751792" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1323" name="Convert_90913" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1324" name="Transpose_20924/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="40243312" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1325" name="Convert_90916" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1326" name="Transpose_20924/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1327" name="Transpose_20924/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="40243952" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1328" name="Transpose_20924/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1329" name="Transpose_20924/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1330" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1331" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1332" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1333" name="Constant_2427" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1334" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1335" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1336" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="40245232" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1337" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="40245236" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1338" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="40245232" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1339" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="40245236" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1340" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1341" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1342" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1343" name="Transpose_20929" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="40245240" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1344" name="Convert_90902" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1345" name="Transpose_20929/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="40736760" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1346" name="Convert_90905" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1347" name="Transpose_20929/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1348" name="Transpose_20929/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="40737400" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1349" name="Transpose_20929/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1350" name="Transpose_20929/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1351" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1352" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1353" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1354" name="Constant_2407" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1355" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1356" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1357" name="Constant_2436" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1358" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1359" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1360" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast_2_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1361" name="Transpose_20932" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="40738680" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1362" name="Convert_91199" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1363" name="Transpose_20932/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="41148280" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1364" name="Convert_91202" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1365" name="Transpose_20932/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1366" name="Transpose_20932/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="41148920" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1367" name="Transpose_20932/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1368" name="Transpose_20932/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1369" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1370" name="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/attn2/Div_1_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1371" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1372" name="Range_2449" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1373" name="MVN_2450" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1374" name="Constant_23145" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="41150200" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1375" name="Multiply_2451" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1376" name="Constant_23146" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="41152760" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1377" name="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1378" name="Transpose_20945" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="41155320" size="3276800" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1379" name="Convert_90000" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1380" name="Transpose_20945/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="44432120" size="5120" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1381" name="Convert_90003" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1382" name="Transpose_20945/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1383" name="Transpose_20945/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="44437240" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1384" name="Transpose_20945/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1385" name="Transpose_20945/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1386" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1387" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1388" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1389" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1390" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1391" name="Constant_2457" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1392" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1393" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1394" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1395" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1396" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1397" name="Broadcast_2468" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1398" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1399" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1400" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1401" name="Broadcast_2518" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1402" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1403" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1404" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1405" name="Transpose_20963" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="44447480" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1406" name="Convert_90066" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1407" name="Transpose_20963/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="46085880" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1408" name="Convert_90069" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1409" name="Transpose_20963/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1410" name="Transpose_20963/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="46086520" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1411" name="Transpose_20963/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1412" name="Transpose_20963/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1413" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1414" name="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1415" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1416" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46087800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1417" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46087804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1418" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46087800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1419" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46087804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1420" name="/down_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1421" name="/down_blocks.1/attentions.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="28632356" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.1/attentions.1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1422" name="/down_blocks.1/attentions.1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1423" name="Constant_2578" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1424" name="/down_blocks.1/attentions.1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1425" name="Constant_1166451" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="46087808" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1426" name="Convert_1166452" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1427" name="Constant_1166453" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="46497408" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1428" name="/down_blocks.1/attentions.1/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1429" name="/down_blocks.1/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1430" name="Reshape_2592" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="46499968" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1431" name="/down_blocks.1/attentions.1/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1432" name="/down_blocks.1/attentions.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/attentions.1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1433" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46502528" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1434" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46502532" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1435" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46502528" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1436" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="46502532" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1437" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1438" name="Constant_1166455" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="46502536" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1439" name="Convert_1166456" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1440" name="Constant_1166457" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="50188936" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1441" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1442" name="/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1443" name="Reshape_2609" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="50191496" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1444" name="/down_blocks.1/downsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.1/downsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1445" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="50194056" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1446" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="50194060" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1447" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="50194056" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1448" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="50194060" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1449" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1450" name="Constant_1166459" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 640, 1, 1" offset="50194064" size="819200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1451" name="Convert_1166460" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1452" name="Constant_1166461" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="51013264" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1453" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1454" name="/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1455" name="Reshape_2750" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="51018384" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1456" name="/down_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1457" name="/down_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1458" name="/down_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1459" name="Constant_2617" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1460" name="MVN_2618" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1461" name="Constant_25120" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="51023504" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1462" name="/down_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1463" name="Constant_23149" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="51023536" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1464" name="/down_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1465" name="Constant_23150" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="51026096" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1466" name="/down_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1467" name="/down_blocks.2/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1468" name="/down_blocks.2/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="51028656" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1469" name="/down_blocks.2/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="51028660" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1470" name="/down_blocks.2/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="51028656" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1471" name="/down_blocks.2/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="51028660" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1472" name="/down_blocks.2/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1473" name="Constant_1166463" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 640, 3, 3" offset="51028664" size="7372800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1474" name="Convert_1166464" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1475" name="Constant_1166465" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="58401464" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1476" name="/down_blocks.2/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1477" name="/down_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1478" name="Reshape_2666" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="58406584" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1479" name="/down_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1480" name="down_blocks.2.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="58411704" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1481" name="Convert_90099" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1482" name="down_blocks.2.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="60050104" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1483" name="Convert_90102" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1484" name="down_blocks.2.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1485" name="down_blocks.2.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="60051384" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1486" name="down_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1487" name="down_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1488" name="/down_blocks.2/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1489" name="Constant_23151" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="60053944" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1490" name="/down_blocks.2/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1491" name="/down_blocks.2/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1492" name="/down_blocks.2/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1493" name="/down_blocks.2/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1494" name="/down_blocks.2/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1495" name="/down_blocks.2/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1496" name="/down_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1497" name="/down_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1498" name="Constant_2685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1499" name="MVN_2686" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1500" name="Constant_25121" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1501" name="/down_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1502" name="Constant_23152" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="60059096" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1503" name="/down_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1504" name="Constant_23153" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="60064216" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1505" name="/down_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1506" name="/down_blocks.2/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1507" name="/down_blocks.2/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="60069336" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1508" name="/down_blocks.2/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="60069340" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1509" name="/down_blocks.2/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="60069336" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1510" name="/down_blocks.2/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="60069340" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1511" name="/down_blocks.2/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1512" name="Constant_1166467" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="60069344" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1513" name="Convert_1166468" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1514" name="Constant_1166469" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="74814944" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1515" name="/down_blocks.2/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1516" name="/down_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1517" name="Reshape_2734" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="74820064" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1518" name="/down_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1519" name="/down_blocks.2/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.0/Add_1_output_0,/down_blocks.2/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1520" name="/down_blocks.2/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1521" name="/down_blocks.2/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1522" name="Constant_2761" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1523" name="MVN_2762" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1524" name="Constant_25122" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1525" name="/down_blocks.2/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1526" name="Constant_23154" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="74825184" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1527" name="/down_blocks.2/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1528" name="Constant_23155" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="74830304" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1529" name="/down_blocks.2/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1530" name="/down_blocks.2/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="74835424" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1531" name="/down_blocks.2/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="74835428" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1532" name="/down_blocks.2/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="74835424" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1533" name="/down_blocks.2/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="74835428" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1534" name="/down_blocks.2/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1535" name="Constant_1166471" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="74835432" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1536" name="Convert_1166472" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1537" name="Constant_1166473" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="76473832" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1538" name="/down_blocks.2/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1539" name="/down_blocks.2/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1540" name="Reshape_2808" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="76478952" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1541" name="/down_blocks.2/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1542" name="Constant_2812" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1543" name="/down_blocks.2/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1544" name="/down_blocks.2/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76484072" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1545" name="/down_blocks.2/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1546" name="Range_2819" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1547" name="MVN_2820" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1548" name="Constant_23156" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="76484096" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1549" name="Multiply_2821" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1550" name="Constant_23157" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="76489216" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1551" name="/down_blocks.2/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1552" name="Transpose_21010" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="76494336" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1553" name="Convert_90121" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1554" name="Transpose_21010/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="78132736" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1555" name="Convert_90124" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1556" name="Transpose_21010/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1557" name="Transpose_21010/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="78134016" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1558" name="Transpose_21010/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1559" name="Transpose_21010/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1560" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1561" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1562" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1563" name="Constant_2830" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1564" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1565" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1566" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1567" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1568" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1569" name="Broadcast_2841" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1570" name="Constant_2846" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1571" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1572" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1573" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1574" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1575" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1576" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1577" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="78136608" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1578" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="78136612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1579" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="78136608" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1580" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="78136612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1581" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1582" name="Transpose_21015" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="78136616" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1583" name="Convert_90132" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1584" name="Transpose_21015/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="79775016" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1585" name="Convert_90135" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1586" name="Transpose_21015/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1587" name="Transpose_21015/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="79776296" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1588" name="Transpose_21015/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1589" name="Transpose_21015/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1590" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1591" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1592" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1593" name="Constant_2854" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1594" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1595" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1596" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="79778856" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1597" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="79778860" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1598" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="79778856" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1599" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="79778860" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1600" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1601" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1602" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1603" name="Transpose_21020" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="79778864" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1604" name="Convert_90110" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1605" name="Transpose_21020/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="81417264" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1606" name="Convert_90113" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1607" name="Transpose_21020/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1608" name="Transpose_21020/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="81418544" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1609" name="Transpose_21020/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1610" name="Transpose_21020/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1611" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1612" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1613" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1614" name="Constant_2834" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1615" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1616" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1617" name="Constant_2863" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1618" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1619" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1620" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1621" name="Transpose_21023" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="81421128" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1622" name="Convert_90143" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1623" name="Transpose_21023/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="83059528" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1624" name="Convert_90146" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1625" name="Transpose_21023/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1626" name="Transpose_21023/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="83060808" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1627" name="Transpose_21023/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1628" name="Transpose_21023/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1629" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1630" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1631" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1632" name="Range_2876" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1633" name="MVN_2877" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1634" name="Constant_23159" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="83063368" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1635" name="Multiply_2878" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1636" name="Constant_23160" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="83068488" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1637" name="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1638" name="Transpose_21036" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="83073608" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1639" name="Convert_90154" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1640" name="Transpose_21036/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="84712008" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1641" name="Convert_90157" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1642" name="Transpose_21036/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1643" name="Transpose_21036/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="84713288" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1644" name="Transpose_21036/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1645" name="Transpose_21036/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1646" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1647" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1648" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1649" name="Constant_2887" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1650" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1651" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1652" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1653" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1654" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1655" name="Broadcast_2898" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1656" name="Constant_2903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1657" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1658" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1659" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1660" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1661" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1662" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1663" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="84715848" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1664" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="84715852" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1665" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="84715848" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1666" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="84715852" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1667" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1668" name="Transpose_21041" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="84715856" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1669" name="Convert_90649" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1670" name="Transpose_21041/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="85698896" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1671" name="Convert_90652" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1672" name="Transpose_21041/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1673" name="Transpose_21041/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="85700176" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1674" name="Transpose_21041/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1675" name="Transpose_21041/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1676" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1677" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1678" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1679" name="Constant_2911" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1680" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1681" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1682" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="85702736" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1683" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="85702740" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1684" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="85702736" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1685" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="85702740" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1686" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1687" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1688" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1689" name="Transpose_21046" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="85702744" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1690" name="Convert_90638" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1691" name="Transpose_21046/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="86685784" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1692" name="Convert_90641" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1693" name="Transpose_21046/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1694" name="Transpose_21046/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="86687064" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1695" name="Transpose_21046/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1696" name="Transpose_21046/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1697" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1698" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1699" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1700" name="Constant_2891" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1701" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1702" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1703" name="Constant_2920" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1704" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1705" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1706" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1707" name="Transpose_21049" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="86689624" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1708" name="Convert_90165" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1709" name="Transpose_21049/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="88328024" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1710" name="Convert_90168" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1711" name="Transpose_21049/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1712" name="Transpose_21049/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="88329304" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1713" name="Transpose_21049/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1714" name="Transpose_21049/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1715" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1716" name="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1717" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1718" name="Range_2933" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1719" name="MVN_2934" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1720" name="Constant_23162" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="88331864" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1721" name="Multiply_2935" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1722" name="Constant_23163" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="88336984" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1723" name="/down_blocks.2/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1724" name="Transpose_21062" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="88342104" size="13107200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1725" name="Convert_89857" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1726" name="Transpose_21062/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="101449304" size="10240" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1727" name="Convert_89860" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1728" name="Transpose_21062/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1729" name="Transpose_21062/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="101459544" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1730" name="Transpose_21062/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1731" name="Transpose_21062/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1732" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1733" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1734" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1735" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1736" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1737" name="Constant_2941" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1738" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1739" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1740" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1741" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1742" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1743" name="Broadcast_2952" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1744" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1745" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1746" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1747" name="Broadcast_3002" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1748" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1749" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1750" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1751" name="Transpose_21080" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="101480024" size="6553600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1752" name="Convert_89923" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1753" name="Transpose_21080/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="108033624" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1754" name="Convert_89926" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1755" name="Transpose_21080/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1756" name="Transpose_21080/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="108034904" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1757" name="Transpose_21080/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1758" name="Transpose_21080/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1759" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1760" name="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1761" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1762" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="108037464" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1763" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="108037468" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1764" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="108037464" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1765" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="108037468" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1766" name="/down_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1767" name="/down_blocks.2/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="108037472" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1768" name="/down_blocks.2/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1769" name="Constant_3062" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1770" name="/down_blocks.2/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1771" name="Constant_1166475" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="108037504" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1772" name="Convert_1166476" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1773" name="Constant_1166477" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="109675904" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1774" name="/down_blocks.2/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1775" name="/down_blocks.2/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1776" name="Reshape_3076" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="109681024" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1777" name="/down_blocks.2/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1778" name="/down_blocks.2/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1779" name="/down_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1780" name="/down_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1781" name="Constant_3085" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1782" name="MVN_3086" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1783" name="Constant_25123" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1784" name="/down_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1785" name="Constant_23166" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="109686144" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1786" name="/down_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1787" name="Constant_23167" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="109691264" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1788" name="/down_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1789" name="/down_blocks.2/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1790" name="/down_blocks.2/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1791" name="/down_blocks.2/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="109696384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1792" name="/down_blocks.2/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1793" name="/down_blocks.2/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="109696384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1794" name="/down_blocks.2/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1795" name="Constant_1166479" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="109696388" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1796" name="Convert_1166480" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1797" name="Constant_1166481" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="124441988" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1798" name="/down_blocks.2/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1799" name="/down_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1800" name="Reshape_3134" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="124447108" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1801" name="/down_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1802" name="down_blocks.2.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="124452228" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1803" name="Convert_90187" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1804" name="down_blocks.2.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="126090628" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1805" name="Convert_90190" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1806" name="down_blocks.2.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1807" name="down_blocks.2.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="126091908" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1808" name="down_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1809" name="down_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1810" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1811" name="Constant_23168" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="126094468" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1812" name="/down_blocks.2/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1813" name="/down_blocks.2/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1814" name="/down_blocks.2/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1815" name="/down_blocks.2/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1816" name="/down_blocks.2/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1817" name="/down_blocks.2/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1818" name="/down_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1819" name="/down_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1820" name="Constant_3153" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1821" name="MVN_3154" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1822" name="Constant_25124" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1823" name="/down_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1824" name="Constant_23169" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="126099588" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1825" name="/down_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1826" name="Constant_23170" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="126104708" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1827" name="/down_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1828" name="/down_blocks.2/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1829" name="/down_blocks.2/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1830" name="/down_blocks.2/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1831" name="/down_blocks.2/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1832" name="/down_blocks.2/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1833" name="/down_blocks.2/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1834" name="Constant_1166483" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="126109832" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1835" name="Convert_1166484" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1836" name="Constant_1166485" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="140855432" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1837" name="/down_blocks.2/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1838" name="/down_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1839" name="Reshape_3202" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="140860552" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1840" name="/down_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1841" name="/down_blocks.2/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/resnets.1/Add_1_output_0,/down_blocks.2/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1842" name="/down_blocks.2/attentions.1/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1843" name="/down_blocks.2/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1844" name="Constant_3213" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1845" name="MVN_3214" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1846" name="Constant_25125" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1847" name="/down_blocks.2/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1848" name="Constant_23171" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="140865672" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1849" name="/down_blocks.2/attentions.1/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1850" name="Constant_23172" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="140870792" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1851" name="/down_blocks.2/attentions.1/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1852" name="/down_blocks.2/attentions.1/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="140875912" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1853" name="/down_blocks.2/attentions.1/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="140875916" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1854" name="/down_blocks.2/attentions.1/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="140875912" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1855" name="/down_blocks.2/attentions.1/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="140875916" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1856" name="/down_blocks.2/attentions.1/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1857" name="Constant_1166487" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="140875920" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1858" name="Convert_1166488" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1859" name="Constant_1166489" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="142514320" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1860" name="/down_blocks.2/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1861" name="/down_blocks.2/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1862" name="Reshape_3260" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="142519440" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1863" name="/down_blocks.2/attentions.1/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1864" name="Constant_3264" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1865" name="/down_blocks.2/attentions.1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1866" name="/down_blocks.2/attentions.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76484072" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1867" name="/down_blocks.2/attentions.1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1868" name="Range_3271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1869" name="MVN_3272" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1870" name="Constant_23173" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="142524560" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1871" name="Multiply_3273" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1872" name="Constant_23174" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="142529680" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1873" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1874" name="Transpose_21123" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="142534800" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1875" name="Convert_90209" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1876" name="Transpose_21123/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="144173200" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1877" name="Convert_90212" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1878" name="Transpose_21123/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1879" name="Transpose_21123/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="144174480" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1880" name="Transpose_21123/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1881" name="Transpose_21123/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1882" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1883" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1884" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1885" name="Constant_3282" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1886" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1887" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1888" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1889" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1890" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1891" name="Broadcast_3293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1892" name="Constant_3298" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1893" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1894" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1895" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1896" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast_1_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1897" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_1_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1898" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1899" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="144177040" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1900" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="144177044" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1901" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="144177040" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1902" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="144177044" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1903" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1904" name="Transpose_21128" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="144177048" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1905" name="Convert_90220" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1906" name="Transpose_21128/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="145815448" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1907" name="Convert_90223" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1908" name="Transpose_21128/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1909" name="Transpose_21128/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="145816728" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1910" name="Transpose_21128/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1911" name="Transpose_21128/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1912" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1913" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1914" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1915" name="Constant_3306" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1916" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1917" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1918" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="145819288" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1919" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="145819292" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1920" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="145819288" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1921" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="145819292" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1922" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1923" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1924" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1925" name="Transpose_21133" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="145819296" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1926" name="Convert_90198" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1927" name="Transpose_21133/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="147457696" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1928" name="Convert_90201" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1929" name="Transpose_21133/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1930" name="Transpose_21133/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="147458976" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1931" name="Transpose_21133/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1932" name="Transpose_21133/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1933" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1934" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1935" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1936" name="Constant_3286" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1937" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1938" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1939" name="Constant_3315" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1940" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1941" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1942" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast_2_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1943" name="Transpose_21136" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="147461536" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1944" name="Convert_90231" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1945" name="Transpose_21136/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="149099936" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1946" name="Convert_90234" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1947" name="Transpose_21136/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1948" name="Transpose_21136/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="149101216" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1949" name="Transpose_21136/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1950" name="Transpose_21136/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1951" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1952" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn1/Div_1_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1953" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1954" name="Range_3328" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1955" name="MVN_3329" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1956" name="Constant_23176" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="149103776" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1957" name="Multiply_3330" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1958" name="Constant_23177" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="149108896" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1959" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1960" name="Transpose_21149" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="149114016" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1961" name="Convert_90242" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1962" name="Transpose_21149/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="150752416" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1963" name="Convert_90245" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1964" name="Transpose_21149/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1965" name="Transpose_21149/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="150753696" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1966" name="Transpose_21149/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1967" name="Transpose_21149/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1968" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1969" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1970" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1971" name="Constant_3339" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1972" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1973" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1974" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1975" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1976" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1977" name="Broadcast_3350" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1978" name="Constant_3355" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1979" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1980" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1981" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1982" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast_1_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1983" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_1_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1984" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1985" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="150756256" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1986" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="150756260" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1987" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="150756256" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1988" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="150756260" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1989" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1990" name="Transpose_21154" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="150756264" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1991" name="Convert_90671" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1992" name="Transpose_21154/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="151739304" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1993" name="Convert_90674" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1994" name="Transpose_21154/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1995" name="Transpose_21154/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="151740584" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1996" name="Transpose_21154/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1997" name="Transpose_21154/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1998" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1999" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2000" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2001" name="Constant_3363" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2002" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2003" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2004" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="151743144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2005" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="151743148" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2006" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="151743144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2007" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="151743148" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2008" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2009" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2010" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2011" name="Transpose_21159" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="151743152" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2012" name="Convert_90660" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2013" name="Transpose_21159/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="152726192" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2014" name="Convert_90663" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2015" name="Transpose_21159/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2016" name="Transpose_21159/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="152727472" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2017" name="Transpose_21159/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2018" name="Transpose_21159/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2019" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2020" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2021" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2022" name="Constant_3343" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2023" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2024" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2025" name="Constant_3372" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2026" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2027" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2028" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast_2_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2029" name="Transpose_21162" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="152730032" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2030" name="Convert_90253" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2031" name="Transpose_21162/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="154368432" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2032" name="Convert_90256" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2033" name="Transpose_21162/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2034" name="Transpose_21162/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="154369712" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2035" name="Transpose_21162/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2036" name="Transpose_21162/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2037" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2038" name="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/attn2/Div_1_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2039" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2040" name="Range_3385" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2041" name="MVN_3386" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2042" name="Constant_23179" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="154372272" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2043" name="Multiply_3387" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2044" name="Constant_23180" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="154377392" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2045" name="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2046" name="Transpose_21175" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="154382512" size="13107200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2047" name="Convert_89868" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2048" name="Transpose_21175/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="167489712" size="10240" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2049" name="Convert_89871" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2050" name="Transpose_21175/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2051" name="Transpose_21175/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="167499952" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2052" name="Transpose_21175/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2053" name="Transpose_21175/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2054" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2055" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2056" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2057" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2058" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2059" name="Constant_3393" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2060" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2061" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2062" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2063" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2064" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2065" name="Broadcast_3404" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2066" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2067" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2068" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2069" name="Broadcast_3454" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2070" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2071" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2072" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2073" name="Transpose_21193" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="167520432" size="6553600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2074" name="Convert_89934" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2075" name="Transpose_21193/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="174074032" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2076" name="Convert_89937" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2077" name="Transpose_21193/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2078" name="Transpose_21193/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="174075312" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2079" name="Transpose_21193/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2080" name="Transpose_21193/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2081" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2082" name="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2083" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2084" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="174077872" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2085" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="174077876" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2086" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="174077872" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2087" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="174077876" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2088" name="/down_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2089" name="/down_blocks.2/attentions.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="108037472" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.2/attentions.1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2090" name="/down_blocks.2/attentions.1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2091" name="Constant_3514" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2092" name="/down_blocks.2/attentions.1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2093" name="Constant_1166491" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="174077880" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2094" name="Convert_1166492" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2095" name="Constant_1166493" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="175716280" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2096" name="/down_blocks.2/attentions.1/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2097" name="/down_blocks.2/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2098" name="Reshape_3528" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="175721400" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2099" name="/down_blocks.2/attentions.1/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2100" name="/down_blocks.2/attentions.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/attentions.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2101" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="175726520" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2102" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="175726524" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2103" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="175726520" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2104" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="175726524" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2105" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2106" name="Constant_1166495" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="175726528" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2107" name="Convert_1166496" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2108" name="Constant_1166497" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="190472128" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2109" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2110" name="/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2111" name="Reshape_3545" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="190477248" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2112" name="/down_blocks.2/downsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.2/downsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2113" name="/down_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2114" name="/down_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2115" name="Constant_3553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2116" name="MVN_3554" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2117" name="Constant_25126" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2118" name="/down_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2119" name="Constant_23183" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="190482400" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2120" name="/down_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2121" name="Constant_23184" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="190487520" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2122" name="/down_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2123" name="/down_blocks.3/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.3/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2124" name="/down_blocks.3/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="190492640" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2125" name="/down_blocks.3/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="190492644" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2126" name="/down_blocks.3/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="190492640" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2127" name="/down_blocks.3/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="190492644" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2128" name="/down_blocks.3/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2129" name="Constant_1166499" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="190492648" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2130" name="Convert_1166500" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2131" name="Constant_1166501" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="205238248" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2132" name="/down_blocks.3/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2133" name="/down_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2134" name="Reshape_3602" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="205243368" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2135" name="/down_blocks.3/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2136" name="down_blocks.3.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="205248488" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2137" name="Convert_90286" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2138" name="down_blocks.3.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="206886888" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2139" name="Convert_90289" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2140" name="down_blocks.3.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2141" name="down_blocks.3.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="206888168" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2142" name="down_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2143" name="down_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2144" name="/down_blocks.3/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2145" name="Constant_23185" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="206890728" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2146" name="/down_blocks.3/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2147" name="/down_blocks.3/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2148" name="/down_blocks.3/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2149" name="/down_blocks.3/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2150" name="/down_blocks.3/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2151" name="/down_blocks.3/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2152" name="/down_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2153" name="/down_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2154" name="Constant_3621" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2155" name="MVN_3622" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2156" name="Constant_25127" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2157" name="/down_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2158" name="Constant_23186" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="206895848" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2159" name="/down_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2160" name="Constant_23187" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="206900968" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2161" name="/down_blocks.3/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2162" name="/down_blocks.3/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.3/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2163" name="/down_blocks.3/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2164" name="/down_blocks.3/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="206906088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2165" name="/down_blocks.3/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2166" name="/down_blocks.3/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="206906088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2167" name="/down_blocks.3/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2168" name="Constant_1166503" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="206906092" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2169" name="Convert_1166504" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2170" name="Constant_1166505" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="221651692" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2171" name="/down_blocks.3/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2172" name="/down_blocks.3/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2173" name="Reshape_3670" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="221656812" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2174" name="/down_blocks.3/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2175" name="/down_blocks.3/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.0/Add_1_output_0,/down_blocks.3/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2176" name="/down_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2177" name="/down_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2178" name="Constant_3681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2179" name="MVN_3682" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2180" name="Constant_25128" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2181" name="/down_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2182" name="Constant_23188" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="221661932" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2183" name="/down_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2184" name="Constant_23189" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="221667052" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2185" name="/down_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2186" name="/down_blocks.3/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.3/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2187" name="/down_blocks.3/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="221672172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2188" name="/down_blocks.3/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="221672176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2189" name="/down_blocks.3/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="221672172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2190" name="/down_blocks.3/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="221672176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2191" name="/down_blocks.3/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2192" name="Constant_1166507" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="221672180" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2193" name="Convert_1166508" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2194" name="Constant_1166509" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="236417780" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2195" name="/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2196" name="/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2197" name="Reshape_3730" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="236422900" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2198" name="/down_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2199" name="down_blocks.3.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="236428020" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2200" name="Convert_90308" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2201" name="down_blocks.3.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="238066420" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2202" name="Convert_90311" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2203" name="down_blocks.3.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2204" name="down_blocks.3.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="238067700" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2205" name="down_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2206" name="down_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2207" name="/down_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2208" name="Constant_23190" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="238070260" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2209" name="/down_blocks.3/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2210" name="/down_blocks.3/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2211" name="/down_blocks.3/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2212" name="/down_blocks.3/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2213" name="/down_blocks.3/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2214" name="/down_blocks.3/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2215" name="/down_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/down_blocks.3/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2216" name="/down_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2217" name="Constant_3749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2218" name="MVN_3750" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2219" name="Constant_25129" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2220" name="/down_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2221" name="Constant_23191" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="238075380" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2222" name="/down_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2223" name="Constant_23192" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="238080500" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2224" name="/down_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2225" name="/down_blocks.3/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/down_blocks.3/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2226" name="/down_blocks.3/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2227" name="/down_blocks.3/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="206906088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2228" name="/down_blocks.3/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2229" name="/down_blocks.3/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="206906088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2230" name="/down_blocks.3/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2231" name="Constant_1166511" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="238085620" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2232" name="Convert_1166512" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2233" name="Constant_1166513" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="252831220" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2234" name="/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2235" name="/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2236" name="Reshape_3798" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="252836340" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2237" name="/down_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2238" name="/down_blocks.3/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/down_blocks.3/resnets.1/Add_1_output_0,/down_blocks.3/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2239" name="/mid_block/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2240" name="/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2241" name="Constant_3809" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2242" name="MVN_3810" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2243" name="Constant_25130" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2244" name="/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2245" name="Constant_23193" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="252841460" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2246" name="/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2247" name="Constant_23194" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="252846580" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2248" name="/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2249" name="/mid_block/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2250" name="/mid_block/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2251" name="/mid_block/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2252" name="/mid_block/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2253" name="/mid_block/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2254" name="/mid_block/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2255" name="Constant_1166515" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="252851700" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2256" name="Convert_1166516" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2257" name="Constant_1166517" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="267597300" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2258" name="/mid_block/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2259" name="/mid_block/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2260" name="Reshape_3858" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="267602420" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2261" name="/mid_block/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2262" name="mid_block.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="267607540" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2263" name="Convert_90330" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2264" name="mid_block.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="269245940" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2265" name="Convert_90333" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2266" name="mid_block.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2267" name="mid_block.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="269247220" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2268" name="mid_block.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2269" name="mid_block.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2270" name="/mid_block/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2271" name="Constant_23195" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="269249780" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2272" name="/mid_block/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2273" name="/mid_block/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2274" name="/mid_block/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2275" name="/mid_block/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2276" name="/mid_block/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2277" name="/mid_block/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2278" name="/mid_block/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2279" name="/mid_block/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2280" name="Constant_3877" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2281" name="MVN_3878" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2282" name="Constant_25131" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2283" name="/mid_block/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2284" name="Constant_23196" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="269254900" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2285" name="/mid_block/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2286" name="Constant_23197" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="269260020" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2287" name="/mid_block/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2288" name="/mid_block/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2289" name="/mid_block/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="269265140" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2290" name="/mid_block/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="269265144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2291" name="/mid_block/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="269265140" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2292" name="/mid_block/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="269265144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2293" name="/mid_block/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2294" name="Constant_1166519" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="269265148" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2295" name="Convert_1166520" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2296" name="Constant_1166521" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="284010748" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2297" name="/mid_block/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2298" name="/mid_block/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2299" name="Reshape_3926" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="284015868" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2300" name="/mid_block/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2301" name="/mid_block/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.0/Add_1_output_0,/mid_block/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2302" name="/mid_block/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2303" name="/mid_block/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2304" name="Constant_3937" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2305" name="MVN_3938" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2306" name="Constant_25132" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2307" name="/mid_block/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2308" name="Constant_23198" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="284020988" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2309" name="/mid_block/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2310" name="Constant_23199" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="284026108" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2311" name="/mid_block/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2312" name="/mid_block/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="284031228" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2313" name="/mid_block/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="284031232" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2314" name="/mid_block/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="284031228" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2315" name="/mid_block/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="284031232" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2316" name="/mid_block/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2317" name="Constant_1166523" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="284031236" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2318" name="Convert_1166524" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2319" name="Constant_1166525" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="285669636" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2320" name="/mid_block/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2321" name="/mid_block/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2322" name="Reshape_3984" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="285674756" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2323" name="/mid_block/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2324" name="Constant_3988" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2325" name="/mid_block/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2326" name="/mid_block/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="285679876" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2327" name="/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2328" name="Range_3995" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2329" name="MVN_3996" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2330" name="Constant_23200" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="285679900" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2331" name="Multiply_3997" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2332" name="Constant_23201" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="285685020" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2333" name="/mid_block/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2334" name="Transpose_21278" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="285690140" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2335" name="Convert_90352" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2336" name="Transpose_21278/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="287328540" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2337" name="Convert_90355" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2338" name="Transpose_21278/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2339" name="Transpose_21278/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="287329820" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2340" name="Transpose_21278/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2341" name="Transpose_21278/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2342" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2343" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2344" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2345" name="Constant_4006" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2346" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2347" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2348" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2349" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2350" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2351" name="Broadcast_4017" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2352" name="Constant_4022" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2353" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2354" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2355" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2356" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/mid_block/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2357" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/mid_block/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2358" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2359" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="287332380" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2360" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="287332384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2361" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="287332380" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2362" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="287332384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2363" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2364" name="Transpose_21283" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="287332388" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2365" name="Convert_90363" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2366" name="Transpose_21283/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="288970788" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2367" name="Convert_90366" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2368" name="Transpose_21283/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2369" name="Transpose_21283/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="288972068" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2370" name="Transpose_21283/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2371" name="Transpose_21283/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2372" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2373" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2374" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2375" name="Constant_4030" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2376" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2377" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2378" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="288974628" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2379" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="288974632" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2380" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="288974628" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2381" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="288974632" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2382" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2383" name="/mid_block/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2384" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2385" name="Transpose_21288" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="288974636" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2386" name="Convert_90341" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2387" name="Transpose_21288/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="290613036" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2388" name="Convert_90344" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2389" name="Transpose_21288/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2390" name="Transpose_21288/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="290614316" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2391" name="Transpose_21288/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2392" name="Transpose_21288/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2393" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2394" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2395" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2396" name="Constant_4010" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2397" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2398" name="/mid_block/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2399" name="Constant_4039" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2400" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2401" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2402" name="/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/mid_block/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2403" name="Transpose_21291" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="290616876" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2404" name="Convert_90374" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2405" name="Transpose_21291/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="292255276" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2406" name="Convert_90377" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2407" name="Transpose_21291/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2408" name="Transpose_21291/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="292256556" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2409" name="Transpose_21291/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2410" name="Transpose_21291/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2411" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2412" name="/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2413" name="/mid_block/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2414" name="Range_4052" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2415" name="MVN_4053" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2416" name="Constant_23203" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="292259116" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2417" name="Multiply_4054" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2418" name="Constant_23204" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="292264236" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2419" name="/mid_block/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2420" name="Transpose_21304" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="292269356" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2421" name="Convert_90385" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2422" name="Transpose_21304/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="293907756" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2423" name="Convert_90388" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2424" name="Transpose_21304/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2425" name="Transpose_21304/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="293909036" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2426" name="Transpose_21304/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2427" name="Transpose_21304/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2428" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2429" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2430" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2431" name="Constant_4063" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2432" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2433" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2434" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2435" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2436" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2437" name="Broadcast_4074" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2438" name="Constant_4079" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2439" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2440" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2441" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2442" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/mid_block/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2443" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/mid_block/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2444" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2445" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="293911596" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2446" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="293911600" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2447" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="293911596" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2448" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="293911600" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2449" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2450" name="Transpose_21309" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="293911604" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2451" name="Convert_90693" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2452" name="Transpose_21309/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="294894644" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2453" name="Convert_90696" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2454" name="Transpose_21309/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2455" name="Transpose_21309/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="294895924" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2456" name="Transpose_21309/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2457" name="Transpose_21309/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2458" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2459" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2460" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2461" name="Constant_4087" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2462" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2463" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2464" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="294898484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2465" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="294898488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2466" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="294898484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2467" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="294898488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2468" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2469" name="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2470" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2471" name="Transpose_21314" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="294898492" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2472" name="Convert_90682" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2473" name="Transpose_21314/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="295881532" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2474" name="Convert_90685" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2475" name="Transpose_21314/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2476" name="Transpose_21314/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="295882812" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2477" name="Transpose_21314/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2478" name="Transpose_21314/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2479" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2480" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2481" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2482" name="Constant_4067" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2483" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2484" name="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2485" name="Constant_4096" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2486" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2487" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2488" name="/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/mid_block/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2489" name="Transpose_21317" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="295885372" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2490" name="Convert_90396" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2491" name="Transpose_21317/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="297523772" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2492" name="Convert_90399" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2493" name="Transpose_21317/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2494" name="Transpose_21317/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="297525052" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2495" name="Transpose_21317/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2496" name="Transpose_21317/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2497" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2498" name="/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2499" name="/mid_block/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2500" name="Range_4109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2501" name="MVN_4110" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2502" name="Constant_23206" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="297527612" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2503" name="Multiply_4111" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2504" name="Constant_23207" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="297532732" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2505" name="/mid_block/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2506" name="Transpose_21330" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="297537852" size="13107200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2507" name="Convert_89879" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2508" name="Transpose_21330/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="310645052" size="10240" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2509" name="Convert_89882" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2510" name="Transpose_21330/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2511" name="Transpose_21330/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="310655292" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2512" name="Transpose_21330/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2513" name="Transpose_21330/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2514" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2515" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2516" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2517" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2518" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2519" name="Constant_4117" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2520" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2521" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2522" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2523" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2524" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2525" name="Broadcast_4128" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2526" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2527" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2528" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2529" name="Broadcast_4178" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2530" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2531" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2532" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2533" name="Transpose_21348" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="310675772" size="6553600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2534" name="Convert_89945" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2535" name="Transpose_21348/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="317229372" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2536" name="Convert_89948" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2537" name="Transpose_21348/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2538" name="Transpose_21348/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="317230652" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2539" name="Transpose_21348/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2540" name="Transpose_21348/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2541" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2542" name="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2543" name="/mid_block/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2544" name="/mid_block/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="317233212" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2545" name="/mid_block/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="317233216" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2546" name="/mid_block/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="317233212" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2547" name="/mid_block/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="317233216" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2548" name="/mid_block/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2549" name="/mid_block/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="317233220" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2550" name="/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2551" name="Constant_4238" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2552" name="/mid_block/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2553" name="Constant_1166527" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="317233252" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2554" name="Convert_1166528" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2555" name="Constant_1166529" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="318871652" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2556" name="/mid_block/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2557" name="/mid_block/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2558" name="Reshape_4252" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="318876772" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2559" name="/mid_block/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2560" name="/mid_block/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2561" name="/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2562" name="/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2563" name="Constant_4261" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2564" name="MVN_4262" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2565" name="Constant_25133" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2566" name="/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2567" name="Constant_23210" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="318881892" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2568" name="/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2569" name="Constant_23211" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="318887012" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2570" name="/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2571" name="/mid_block/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2572" name="/mid_block/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2573" name="/mid_block/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="109696384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2574" name="/mid_block/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2575" name="/mid_block/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="109696384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2576" name="/mid_block/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2577" name="Constant_1166531" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="318892132" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2578" name="Convert_1166532" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2579" name="Constant_1166533" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="333637732" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2580" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2581" name="/mid_block/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2582" name="Reshape_4310" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="333642852" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2583" name="/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2584" name="mid_block.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="333647972" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2585" name="Convert_90319" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2586" name="mid_block.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="335286372" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2587" name="Convert_90322" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2588" name="mid_block.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2589" name="mid_block.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="335287652" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2590" name="mid_block.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2591" name="mid_block.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2592" name="/mid_block/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2593" name="Constant_23212" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="335290212" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2594" name="/mid_block/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2595" name="/mid_block/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2596" name="/mid_block/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2597" name="/mid_block/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2598" name="/mid_block/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2599" name="/mid_block/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2600" name="/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/mid_block/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2601" name="/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2602" name="Constant_4329" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2603" name="MVN_4330" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2604" name="Constant_25134" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2605" name="/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2606" name="Constant_23213" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="335295332" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2607" name="/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2608" name="Constant_23214" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="335300452" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2609" name="/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2610" name="/mid_block/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/mid_block/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2611" name="/mid_block/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="335305572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2612" name="/mid_block/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="335305576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2613" name="/mid_block/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="335305572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2614" name="/mid_block/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="335305576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2615" name="/mid_block/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2616" name="Constant_1166535" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="335305580" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2617" name="Convert_1166536" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2618" name="Constant_1166537" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="350051180" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2619" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2620" name="/mid_block/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2621" name="Reshape_4378" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="350056300" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2622" name="/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2623" name="/mid_block/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/mid_block/resnets.1/Add_1_output_0,/mid_block/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2624" name="/up_blocks.0/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/Concat_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2625" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="350061420" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2626" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="350061424" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2627" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="350061420" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2628" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="350061424" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2629" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2630" name="Constant_1166539" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 1, 1" offset="350061428" size="3276800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2631" name="Convert_1166540" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2632" name="Constant_1166541" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="353338228" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2633" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2634" name="/up_blocks.0/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2635" name="Reshape_4523" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="353343348" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2636" name="/up_blocks.0/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2637" name="/up_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2638" name="/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2639" name="Constant_4390" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2640" name="MVN_4391" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2641" name="Constant_25135" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="353348468" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2642" name="/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2643" name="Constant_23215" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="353348500" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2644" name="/up_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2645" name="Constant_23216" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="353358740" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2646" name="/up_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2647" name="/up_blocks.0/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.0/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2648" name="/up_blocks.0/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2649" name="/up_blocks.0/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2650" name="/up_blocks.0/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2651" name="/up_blocks.0/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2652" name="/up_blocks.0/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2653" name="Constant_1166543" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 3, 3" offset="353368980" size="29491200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2654" name="Convert_1166544" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2655" name="Constant_1166545" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="382860180" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2656" name="/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2657" name="/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2658" name="Reshape_4439" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="382865300" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2659" name="/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2660" name="up_blocks.0.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="382870420" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2661" name="Convert_90297" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2662" name="up_blocks.0.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="384508820" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2663" name="Convert_90300" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2664" name="up_blocks.0.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2665" name="up_blocks.0.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="384510100" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2666" name="up_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2667" name="up_blocks.0.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2668" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2669" name="Constant_23217" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="384512660" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2670" name="/up_blocks.0/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2671" name="/up_blocks.0/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2672" name="/up_blocks.0/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2673" name="/up_blocks.0/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2674" name="/up_blocks.0/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2675" name="/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2676" name="/up_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2677" name="/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2678" name="Constant_4458" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2679" name="MVN_4459" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2680" name="Constant_25136" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2681" name="/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2682" name="Constant_23218" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="384517780" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2683" name="/up_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2684" name="Constant_23219" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="384522900" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2685" name="/up_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2686" name="/up_blocks.0/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.0/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2687" name="/up_blocks.0/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2688" name="/up_blocks.0/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="384528020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2689" name="/up_blocks.0/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2690" name="/up_blocks.0/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="384528020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2691" name="/up_blocks.0/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2692" name="Constant_1166547" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="384528024" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2693" name="Convert_1166548" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2694" name="Constant_1166549" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="399273624" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2695" name="/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2696" name="/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2697" name="Reshape_4507" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="399278744" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2698" name="/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2699" name="/up_blocks.0/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.0/Add_1_output_0,/up_blocks.0/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2700" name="/up_blocks.0/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/Concat_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2701" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="399283864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2702" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="399283868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2703" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="399283864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2704" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="399283868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2705" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2706" name="Constant_1166551" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 1, 1" offset="399283872" size="3276800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2707" name="Convert_1166552" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2708" name="Constant_1166553" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="402560672" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2709" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2710" name="/up_blocks.0/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2711" name="Reshape_4668" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="402565792" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2712" name="/up_blocks.0/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2713" name="/up_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2714" name="/up_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2715" name="Constant_4535" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2716" name="MVN_4536" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2717" name="Constant_25137" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="353348468" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2718" name="/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2719" name="Constant_23220" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="402570912" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2720" name="/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2721" name="Constant_23221" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="402581152" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2722" name="/up_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2723" name="/up_blocks.0/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.0/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2724" name="/up_blocks.0/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2725" name="/up_blocks.0/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2726" name="/up_blocks.0/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2727" name="/up_blocks.0/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="126109828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2728" name="/up_blocks.0/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2729" name="Constant_1166555" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 3, 3" offset="402591392" size="29491200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2730" name="Convert_1166556" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2731" name="Constant_1166557" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="432082592" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2732" name="/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2733" name="/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2734" name="Reshape_4584" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="432087712" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2735" name="/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2736" name="up_blocks.0.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="432092832" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2737" name="Convert_90275" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2738" name="up_blocks.0.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="433731232" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2739" name="Convert_90278" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2740" name="up_blocks.0.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2741" name="up_blocks.0.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="433732512" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2742" name="up_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2743" name="up_blocks.0.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2744" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2745" name="Constant_23222" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="433735072" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2746" name="/up_blocks.0/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2747" name="/up_blocks.0/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2748" name="/up_blocks.0/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2749" name="/up_blocks.0/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2750" name="/up_blocks.0/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2751" name="/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2752" name="/up_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2753" name="/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2754" name="Constant_4603" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2755" name="MVN_4604" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2756" name="Constant_25138" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2757" name="/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2758" name="Constant_23223" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="433740192" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2759" name="/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2760" name="Constant_23224" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="433745312" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2761" name="/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2762" name="/up_blocks.0/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.0/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2763" name="/up_blocks.0/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2764" name="/up_blocks.0/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="384528020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2765" name="/up_blocks.0/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2766" name="/up_blocks.0/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="384528020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2767" name="/up_blocks.0/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2768" name="Constant_1166559" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="433750432" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2769" name="Convert_1166560" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2770" name="Constant_1166561" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="448496032" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2771" name="/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2772" name="/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2773" name="Reshape_4652" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="448501152" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2774" name="/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2775" name="/up_blocks.0/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.1/Add_1_output_0,/up_blocks.0/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2776" name="/up_blocks.0/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/Concat_2_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2777" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="448506272" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2778" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="448506276" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2779" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="448506272" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2780" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="448506276" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2781" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2782" name="Constant_1166563" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 1, 1" offset="448506280" size="3276800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2783" name="Convert_1166564" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2784" name="Constant_1166565" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="451783080" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2785" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2786" name="/up_blocks.0/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2787" name="Reshape_4813" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="451788200" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2788" name="/up_blocks.0/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2789" name="/up_blocks.0/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2790" name="/up_blocks.0/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2791" name="Constant_4680" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2792" name="MVN_4681" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2793" name="Constant_25139" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="353348468" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2794" name="/up_blocks.0/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2795" name="Constant_23225" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="451793320" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2796" name="/up_blocks.0/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2797" name="Constant_23226" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="451803560" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2798" name="/up_blocks.0/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2799" name="/up_blocks.0/resnets.2/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.0/resnets.2/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2800" name="/up_blocks.0/resnets.2/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="451813800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2801" name="/up_blocks.0/resnets.2/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="451813804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2802" name="/up_blocks.0/resnets.2/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="451813800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2803" name="/up_blocks.0/resnets.2/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="451813804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2804" name="/up_blocks.0/resnets.2/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2805" name="Constant_1166567" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 3, 3" offset="451813808" size="29491200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2806" name="Convert_1166568" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2807" name="Constant_1166569" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="481305008" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2808" name="/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2809" name="/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2810" name="Reshape_4729" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="481310128" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2811" name="/up_blocks.0/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2812" name="up_blocks.0.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="481315248" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2813" name="Convert_90264" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2814" name="up_blocks.0.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="482953648" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2815" name="Convert_90267" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2816" name="up_blocks.0.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2817" name="up_blocks.0.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="482954928" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2818" name="up_blocks.0.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2819" name="up_blocks.0.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2820" name="/up_blocks.0/resnets.2/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2821" name="Constant_23227" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="482957488" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2822" name="/up_blocks.0/resnets.2/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2823" name="/up_blocks.0/resnets.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.2/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2824" name="/up_blocks.0/resnets.2/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2825" name="/up_blocks.0/resnets.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.2/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2826" name="/up_blocks.0/resnets.2/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2827" name="/up_blocks.0/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2828" name="/up_blocks.0/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.0/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2829" name="/up_blocks.0/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2830" name="Constant_4748" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2831" name="MVN_4749" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2832" name="Constant_25140" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="190482368" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2833" name="/up_blocks.0/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2834" name="Constant_23228" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="482962608" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2835" name="/up_blocks.0/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2836" name="Constant_23229" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="482967728" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2837" name="/up_blocks.0/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2838" name="/up_blocks.0/resnets.2/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.0/resnets.2/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2839" name="/up_blocks.0/resnets.2/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="482972848" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2840" name="/up_blocks.0/resnets.2/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="482972852" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2841" name="/up_blocks.0/resnets.2/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="482972848" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2842" name="/up_blocks.0/resnets.2/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="482972852" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2843" name="/up_blocks.0/resnets.2/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2844" name="Constant_1166571" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="482972856" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2845" name="Convert_1166572" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2846" name="Constant_1166573" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="497718456" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2847" name="/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2848" name="/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2849" name="Reshape_4797" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="497723576" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2850" name="/up_blocks.0/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2851" name="/up_blocks.0/resnets.2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/resnets.2/Add_1_output_0,/up_blocks.0/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2852" name="/up_blocks.0/resnets.2/Add_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2853" name="/up_blocks.0/resnets.2/Add_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2854" name="/up_blocks.0/resnets.2/Add_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2855" name="/up_blocks.0/resnets.2/Add_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2856" name="/up_blocks.0/resnets.2/Add_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2857" name="/up_blocks.0/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="497728704" size="16" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.0/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2858" name="/up_blocks.0/upsamplers.0/Resize" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>8</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/upsamplers.0/Resize_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2859" name="/up_blocks.0/upsamplers.0/Resize/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2860" name="/up_blocks.0/upsamplers.0/Resize/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2861" name="/up_blocks.0/upsamplers.0/Resize/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2862" name="/up_blocks.0/upsamplers.0/Resize/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="497728700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2863" name="/up_blocks.0/upsamplers.0/Resize/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2864" name="Constant_1166575" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="497728720" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2865" name="Convert_1166576" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2866" name="Constant_1166577" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="512474320" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2867" name="/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2868" name="/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2869" name="Reshape_4835" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="512479440" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2870" name="/up_blocks.0/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.0/upsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2871" name="/up_blocks.1/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/Concat_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2872" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="512484560" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2873" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="512484564" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2874" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="512484560" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2875" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="512484564" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2876" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2877" name="Constant_1166579" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 1, 1" offset="512484568" size="3276800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2878" name="Convert_1166580" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2879" name="Constant_1166581" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="515761368" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2880" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2881" name="/up_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2882" name="Reshape_4977" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="515766488" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2883" name="/up_blocks.1/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2884" name="/up_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2885" name="/up_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2886" name="Constant_4844" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2887" name="MVN_4845" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2888" name="Constant_25141" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="515771608" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2889" name="/up_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2890" name="Constant_23230" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="515771640" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2891" name="/up_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2892" name="Constant_23231" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="515781880" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2893" name="/up_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2894" name="/up_blocks.1/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2895" name="/up_blocks.1/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="515792120" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2896" name="/up_blocks.1/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="515792124" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2897" name="/up_blocks.1/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="515792120" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2898" name="/up_blocks.1/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="515792124" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2899" name="/up_blocks.1/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2900" name="Constant_1166583" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 3, 3" offset="515792128" size="29491200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2901" name="Convert_1166584" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2902" name="Constant_1166585" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="545283328" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2903" name="/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2904" name="/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2905" name="Reshape_4893" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="545288448" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2906" name="/up_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2907" name="up_blocks.1.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="545293568" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2908" name="Convert_90176" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2909" name="up_blocks.1.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="546931968" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2910" name="Convert_90179" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2911" name="up_blocks.1.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2912" name="up_blocks.1.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="546933248" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2913" name="up_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2914" name="up_blocks.1.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2915" name="/up_blocks.1/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2916" name="Constant_23232" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="546935808" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2917" name="/up_blocks.1/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2918" name="/up_blocks.1/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2919" name="/up_blocks.1/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2920" name="/up_blocks.1/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2921" name="/up_blocks.1/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2922" name="/up_blocks.1/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2923" name="/up_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2924" name="/up_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2925" name="Constant_4912" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2926" name="MVN_4913" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2927" name="Constant_25142" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2928" name="/up_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2929" name="Constant_23233" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="546940928" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2930" name="/up_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2931" name="Constant_23234" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="546946048" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2932" name="/up_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2933" name="/up_blocks.1/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2934" name="/up_blocks.1/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="546951168" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2935" name="/up_blocks.1/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="546951172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2936" name="/up_blocks.1/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="546951168" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2937" name="/up_blocks.1/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="546951172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2938" name="/up_blocks.1/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2939" name="Constant_1166587" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="546951176" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2940" name="Convert_1166588" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2941" name="Constant_1166589" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="561696776" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2942" name="/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2943" name="/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2944" name="Reshape_4961" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="561701896" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2945" name="/up_blocks.1/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2946" name="/up_blocks.1/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.0/Add_1_output_0,/up_blocks.1/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2947" name="/up_blocks.1/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2948" name="/up_blocks.1/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2949" name="Constant_4988" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2950" name="MVN_4989" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2951" name="Constant_25143" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2952" name="/up_blocks.1/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2953" name="Constant_23235" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="561707016" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2954" name="/up_blocks.1/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2955" name="Constant_23236" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="561712136" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2956" name="/up_blocks.1/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2957" name="/up_blocks.1/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="561717256" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2958" name="/up_blocks.1/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="561717260" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2959" name="/up_blocks.1/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="561717256" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2960" name="/up_blocks.1/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="561717260" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2961" name="/up_blocks.1/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2962" name="Constant_1166591" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="561717264" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2963" name="Convert_1166592" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2964" name="Constant_1166593" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="563355664" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2965" name="/up_blocks.1/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2966" name="/up_blocks.1/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2967" name="Reshape_5035" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="563360784" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2968" name="/up_blocks.1/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2969" name="Constant_5039" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2970" name="/up_blocks.1/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2971" name="/up_blocks.1/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76484072" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2972" name="/up_blocks.1/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2973" name="Range_5046" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2974" name="MVN_5047" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2975" name="Constant_23237" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="563365904" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2976" name="Multiply_5048" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2977" name="Constant_23238" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="563371024" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2978" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2979" name="Transpose_21481" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="563376144" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2980" name="Convert_90418" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2981" name="Transpose_21481/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="565014544" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2982" name="Convert_90421" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2983" name="Transpose_21481/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2984" name="Transpose_21481/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="565015824" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2985" name="Transpose_21481/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2986" name="Transpose_21481/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2987" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2988" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2989" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2990" name="Constant_5057" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2991" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2992" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2993" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2994" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2995" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2996" name="Broadcast_5068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2997" name="Constant_5073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2998" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2999" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3000" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3001" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3002" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3003" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3004" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565018384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3005" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565018388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3006" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565018384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3007" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="565018388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3008" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3009" name="Transpose_21486" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="565018392" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3010" name="Convert_90429" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3011" name="Transpose_21486/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="566656792" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3012" name="Convert_90432" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3013" name="Transpose_21486/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3014" name="Transpose_21486/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="566658072" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3015" name="Transpose_21486/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3016" name="Transpose_21486/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3017" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3018" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3019" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3020" name="Constant_5081" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3021" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3022" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3023" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="566660632" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3024" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="566660636" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3025" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="566660632" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3026" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="566660636" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3027" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3028" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3029" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3030" name="Transpose_21491" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="566660640" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3031" name="Convert_90407" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3032" name="Transpose_21491/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="568299040" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3033" name="Convert_90410" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3034" name="Transpose_21491/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3035" name="Transpose_21491/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="568300320" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3036" name="Transpose_21491/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3037" name="Transpose_21491/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3038" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3039" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3040" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3041" name="Constant_5061" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3042" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3043" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3044" name="Constant_5090" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3045" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3046" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3047" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3048" name="Transpose_21494" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="568302880" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3049" name="Convert_90440" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3050" name="Transpose_21494/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="569941280" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3051" name="Convert_90443" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3052" name="Transpose_21494/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3053" name="Transpose_21494/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="569942560" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3054" name="Transpose_21494/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3055" name="Transpose_21494/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3056" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3057" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3058" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3059" name="Range_5103" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3060" name="MVN_5104" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3061" name="Constant_23240" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="569945120" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3062" name="Multiply_5105" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3063" name="Constant_23241" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="569950240" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3064" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3065" name="Transpose_21507" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="569955360" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3066" name="Convert_90451" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3067" name="Transpose_21507/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="571593760" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3068" name="Convert_90454" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3069" name="Transpose_21507/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3070" name="Transpose_21507/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="571595040" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3071" name="Transpose_21507/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3072" name="Transpose_21507/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3073" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3074" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3075" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3076" name="Constant_5114" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3077" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3078" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3079" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3080" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3081" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3082" name="Broadcast_5125" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3083" name="Constant_5130" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3084" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3085" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3086" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3087" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3088" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3089" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3090" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="571597600" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3091" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="571597604" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3092" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="571597600" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3093" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="571597604" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3094" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3095" name="Transpose_21512" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="571597608" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3096" name="Convert_90715" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3097" name="Transpose_21512/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="572580648" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3098" name="Convert_90718" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3099" name="Transpose_21512/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3100" name="Transpose_21512/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="572581928" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3101" name="Transpose_21512/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3102" name="Transpose_21512/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3103" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3104" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3105" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3106" name="Constant_5138" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3107" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3108" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3109" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="572584488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3110" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="572584492" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3111" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="572584488" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3112" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="572584492" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3113" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3114" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3115" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3116" name="Transpose_21517" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="572584496" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3117" name="Convert_90704" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3118" name="Transpose_21517/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="573567536" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3119" name="Convert_90707" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3120" name="Transpose_21517/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3121" name="Transpose_21517/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="573568816" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3122" name="Transpose_21517/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3123" name="Transpose_21517/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3124" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3125" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3126" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3127" name="Constant_5118" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3128" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3129" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3130" name="Constant_5147" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3131" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3132" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3133" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3134" name="Transpose_21520" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="573571376" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3135" name="Convert_90462" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3136" name="Transpose_21520/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="575209776" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3137" name="Convert_90465" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3138" name="Transpose_21520/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3139" name="Transpose_21520/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="575211056" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3140" name="Transpose_21520/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3141" name="Transpose_21520/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3142" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3143" name="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3144" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3145" name="Range_5160" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3146" name="MVN_5161" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3147" name="Constant_23243" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="575213616" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3148" name="Multiply_5162" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3149" name="Constant_23244" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="575218736" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3150" name="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3151" name="Transpose_21533" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="575223856" size="13107200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3152" name="Convert_89890" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3153" name="Transpose_21533/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="588331056" size="10240" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3154" name="Convert_89893" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3155" name="Transpose_21533/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3156" name="Transpose_21533/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="588341296" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3157" name="Transpose_21533/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3158" name="Transpose_21533/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3159" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3160" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3161" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3162" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3163" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3164" name="Constant_5168" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3165" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3166" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3167" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3168" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3169" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3170" name="Broadcast_5179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3171" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3172" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3173" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3174" name="Broadcast_5229" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3175" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3176" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3177" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3178" name="Transpose_21551" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="588361776" size="6553600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3179" name="Convert_89956" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3180" name="Transpose_21551/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="594915376" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3181" name="Convert_89959" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3182" name="Transpose_21551/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3183" name="Transpose_21551/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="594916656" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3184" name="Transpose_21551/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3185" name="Transpose_21551/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3186" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3187" name="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3188" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3189" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="594919216" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3190" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="594919220" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3191" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="594919216" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3192" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="594919220" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3193" name="/up_blocks.1/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3194" name="/up_blocks.1/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="108037472" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3195" name="/up_blocks.1/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3196" name="Constant_5289" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3197" name="/up_blocks.1/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3198" name="Constant_1166595" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="594919224" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3199" name="Convert_1166596" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3200" name="Constant_1166597" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="596557624" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3201" name="/up_blocks.1/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3202" name="/up_blocks.1/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3203" name="Reshape_5303" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="596562744" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3204" name="/up_blocks.1/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3205" name="/up_blocks.1/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3206" name="/up_blocks.1/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/Concat_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3207" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="596567864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3208" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="596567868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3209" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="596567864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3210" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="596567868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3211" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3212" name="Constant_1166599" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 1, 1" offset="596567872" size="3276800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3213" name="Convert_1166600" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3214" name="Constant_1166601" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="599844672" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3215" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3216" name="/up_blocks.1/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3217" name="Reshape_5446" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="599849792" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3218" name="/up_blocks.1/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3219" name="/up_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3220" name="/up_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3221" name="Constant_5313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3222" name="MVN_5314" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3223" name="Constant_25144" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="515771608" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3224" name="/up_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3225" name="Constant_23247" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="599854912" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3226" name="/up_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3227" name="Constant_23248" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2560, 1, 1" offset="599865152" size="10240" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3228" name="/up_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3229" name="/up_blocks.1/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3230" name="/up_blocks.1/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3231" name="/up_blocks.1/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="109696384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3232" name="/up_blocks.1/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3233" name="/up_blocks.1/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="109696384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3234" name="/up_blocks.1/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3235" name="Constant_1166603" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 2560, 3, 3" offset="599875392" size="29491200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3236" name="Convert_1166604" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3237" name="Constant_1166605" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="629366592" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3238" name="/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3239" name="/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>2560</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3240" name="Reshape_5362" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="629371712" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3241" name="/up_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3242" name="up_blocks.1.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="629376832" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3243" name="Convert_90088" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3244" name="up_blocks.1.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="631015232" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3245" name="Convert_90091" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3246" name="up_blocks.1.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3247" name="up_blocks.1.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="631016512" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3248" name="up_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3249" name="up_blocks.1.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3250" name="/up_blocks.1/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3251" name="Constant_23249" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="631019072" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3252" name="/up_blocks.1/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3253" name="/up_blocks.1/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3254" name="/up_blocks.1/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3255" name="/up_blocks.1/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3256" name="/up_blocks.1/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3257" name="/up_blocks.1/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3258" name="/up_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3259" name="/up_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3260" name="Constant_5381" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3261" name="MVN_5382" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3262" name="Constant_25145" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3263" name="/up_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3264" name="Constant_23250" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="631024192" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3265" name="/up_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3266" name="Constant_23251" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="631029312" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3267" name="/up_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3268" name="/up_blocks.1/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3269" name="/up_blocks.1/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="631034432" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3270" name="/up_blocks.1/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="631034436" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3271" name="/up_blocks.1/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="631034432" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3272" name="/up_blocks.1/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="631034436" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3273" name="/up_blocks.1/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3274" name="Constant_1166607" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="631034440" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3275" name="Convert_1166608" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3276" name="Constant_1166609" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="645780040" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3277" name="/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3278" name="/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3279" name="Reshape_5430" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="645785160" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3280" name="/up_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3281" name="/up_blocks.1/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.1/Add_1_output_0,/up_blocks.1/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3282" name="/up_blocks.1/attentions.1/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3283" name="/up_blocks.1/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3284" name="Constant_5457" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3285" name="MVN_5458" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3286" name="Constant_25146" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3287" name="/up_blocks.1/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3288" name="Constant_23252" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="645790280" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3289" name="/up_blocks.1/attentions.1/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3290" name="Constant_23253" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="645795400" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3291" name="/up_blocks.1/attentions.1/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3292" name="/up_blocks.1/attentions.1/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="645800520" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3293" name="/up_blocks.1/attentions.1/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="645800524" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3294" name="/up_blocks.1/attentions.1/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="645800520" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3295" name="/up_blocks.1/attentions.1/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="645800524" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3296" name="/up_blocks.1/attentions.1/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3297" name="Constant_1166611" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="645800528" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3298" name="Convert_1166612" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3299" name="Constant_1166613" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="647438928" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3300" name="/up_blocks.1/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3301" name="/up_blocks.1/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3302" name="Reshape_5504" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="647444048" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3303" name="/up_blocks.1/attentions.1/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3304" name="Constant_5508" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3305" name="/up_blocks.1/attentions.1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3306" name="/up_blocks.1/attentions.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76484072" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3307" name="/up_blocks.1/attentions.1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3308" name="Range_5515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3309" name="MVN_5516" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3310" name="Constant_23254" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="647449168" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3311" name="Multiply_5517" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3312" name="Constant_23255" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="647454288" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3313" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3314" name="Transpose_21596" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="647459408" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3315" name="Convert_90484" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3316" name="Transpose_21596/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="649097808" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3317" name="Convert_90487" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3318" name="Transpose_21596/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3319" name="Transpose_21596/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="649099088" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3320" name="Transpose_21596/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3321" name="Transpose_21596/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3322" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3323" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3324" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3325" name="Constant_5526" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3326" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3327" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3328" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3329" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3330" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3331" name="Broadcast_5537" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3332" name="Constant_5542" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3333" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3334" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3335" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3336" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3337" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3338" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3339" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="649101648" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3340" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="649101652" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3341" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="649101648" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3342" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="649101652" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3343" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3344" name="Transpose_21601" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="649101656" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3345" name="Convert_90495" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3346" name="Transpose_21601/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="650740056" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3347" name="Convert_90498" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3348" name="Transpose_21601/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3349" name="Transpose_21601/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="650741336" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3350" name="Transpose_21601/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3351" name="Transpose_21601/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3352" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3353" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3354" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3355" name="Constant_5550" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3356" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3357" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3358" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="650743896" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3359" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="650743900" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3360" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="650743896" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3361" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="650743900" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3362" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3363" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3364" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3365" name="Transpose_21606" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="650743904" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3366" name="Convert_90473" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3367" name="Transpose_21606/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="652382304" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3368" name="Convert_90476" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3369" name="Transpose_21606/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3370" name="Transpose_21606/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="652383584" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3371" name="Transpose_21606/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3372" name="Transpose_21606/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3373" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3374" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3375" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3376" name="Constant_5530" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3377" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3378" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3379" name="Constant_5559" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3380" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3381" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3382" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3383" name="Transpose_21609" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="652386144" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3384" name="Convert_90506" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3385" name="Transpose_21609/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="654024544" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3386" name="Convert_90509" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3387" name="Transpose_21609/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3388" name="Transpose_21609/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="654025824" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3389" name="Transpose_21609/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3390" name="Transpose_21609/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3391" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3392" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3393" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3394" name="Range_5572" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3395" name="MVN_5573" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3396" name="Constant_23257" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="654028384" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3397" name="Multiply_5574" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3398" name="Constant_23258" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="654033504" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3399" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3400" name="Transpose_21622" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="654038624" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3401" name="Convert_90517" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3402" name="Transpose_21622/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="655677024" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3403" name="Convert_90520" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3404" name="Transpose_21622/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3405" name="Transpose_21622/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="655678304" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3406" name="Transpose_21622/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3407" name="Transpose_21622/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3408" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3409" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3410" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3411" name="Constant_5583" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3412" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3413" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3414" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3415" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3416" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3417" name="Broadcast_5594" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3418" name="Constant_5599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3419" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3420" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3421" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3422" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3423" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3424" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3425" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="655680864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3426" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="655680868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3427" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="655680864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3428" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="655680868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3429" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3430" name="Transpose_21627" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="655680872" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3431" name="Convert_90737" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3432" name="Transpose_21627/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="656663912" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3433" name="Convert_90740" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3434" name="Transpose_21627/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3435" name="Transpose_21627/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="656665192" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3436" name="Transpose_21627/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3437" name="Transpose_21627/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3438" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3439" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3440" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3441" name="Constant_5607" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3442" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3443" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3444" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="656667752" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3445" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="656667756" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3446" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="656667752" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3447" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="656667756" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3448" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3449" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3450" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3451" name="Transpose_21632" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="656667760" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3452" name="Convert_90726" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3453" name="Transpose_21632/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="657650800" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3454" name="Convert_90729" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3455" name="Transpose_21632/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3456" name="Transpose_21632/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="657652080" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3457" name="Transpose_21632/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3458" name="Transpose_21632/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3459" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3460" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3461" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3462" name="Constant_5587" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3463" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3464" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3465" name="Constant_5616" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3466" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3467" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3468" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3469" name="Transpose_21635" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="657654640" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3470" name="Convert_90528" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3471" name="Transpose_21635/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="659293040" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3472" name="Convert_90531" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3473" name="Transpose_21635/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3474" name="Transpose_21635/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="659294320" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3475" name="Transpose_21635/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3476" name="Transpose_21635/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3477" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3478" name="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3479" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3480" name="Range_5629" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3481" name="MVN_5630" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3482" name="Constant_23260" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="659296880" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3483" name="Multiply_5631" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3484" name="Constant_23261" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="659302000" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3485" name="/up_blocks.1/attentions.1/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3486" name="Transpose_21648" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="659307120" size="13107200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3487" name="Convert_89901" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3488" name="Transpose_21648/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="672414320" size="10240" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3489" name="Convert_89904" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3490" name="Transpose_21648/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3491" name="Transpose_21648/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="672424560" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3492" name="Transpose_21648/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3493" name="Transpose_21648/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3494" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3495" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3496" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3497" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3498" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3499" name="Constant_5637" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3500" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3501" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3502" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3503" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3504" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3505" name="Broadcast_5648" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3506" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3507" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3508" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3509" name="Broadcast_5698" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3510" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3511" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3512" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3513" name="Transpose_21666" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="672445040" size="6553600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3514" name="Convert_89967" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3515" name="Transpose_21666/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="678998640" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3516" name="Convert_89970" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3517" name="Transpose_21666/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3518" name="Transpose_21666/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="678999920" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3519" name="Transpose_21666/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3520" name="Transpose_21666/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3521" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3522" name="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3523" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3524" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="679002480" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3525" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="679002484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3526" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="679002480" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3527" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="679002484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3528" name="/up_blocks.1/attentions.1/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3529" name="/up_blocks.1/attentions.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="108037472" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3530" name="/up_blocks.1/attentions.1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3531" name="Constant_5758" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3532" name="/up_blocks.1/attentions.1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3533" name="Constant_1166615" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="679002488" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3534" name="Convert_1166616" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3535" name="Constant_1166617" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="680640888" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3536" name="/up_blocks.1/attentions.1/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3537" name="/up_blocks.1/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3538" name="Reshape_5772" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="680646008" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3539" name="/up_blocks.1/attentions.1/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3540" name="/up_blocks.1/attentions.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3541" name="/up_blocks.1/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/Concat_2_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3542" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="680651128" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3543" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="680651132" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3544" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="680651128" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3545" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="680651132" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3546" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3547" name="Constant_1166619" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1920, 1, 1" offset="680651136" size="2457600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3548" name="Convert_1166620" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3549" name="Constant_1166621" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="683108736" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3550" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3551" name="/up_blocks.1/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3552" name="Reshape_5915" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="683113856" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3553" name="/up_blocks.1/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3554" name="/up_blocks.1/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3555" name="/up_blocks.1/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>15360</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3556" name="Constant_5782" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3557" name="MVN_5783" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>15360</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>15360</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3558" name="Constant_25147" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="683118976" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3559" name="/up_blocks.1/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>15360</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3560" name="Constant_23264" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1920, 1, 1" offset="683119008" size="7680" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3561" name="/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3562" name="Constant_23265" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1920, 1, 1" offset="683126688" size="7680" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3563" name="/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3564" name="/up_blocks.1/resnets.2/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/resnets.2/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3565" name="/up_blocks.1/resnets.2/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="683134368" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3566" name="/up_blocks.1/resnets.2/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="683134372" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3567" name="/up_blocks.1/resnets.2/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="683134368" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3568" name="/up_blocks.1/resnets.2/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="683134372" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3569" name="/up_blocks.1/resnets.2/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3570" name="Constant_1166623" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1920, 3, 3" offset="683134376" size="22118400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3571" name="Convert_1166624" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3572" name="Constant_1166625" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="705252776" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3573" name="/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3574" name="/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3575" name="Reshape_5831" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="705257896" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3576" name="/up_blocks.1/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3577" name="up_blocks.1.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="705263016" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3578" name="Convert_90077" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3579" name="up_blocks.1.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="706901416" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3580" name="Convert_90080" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3581" name="up_blocks.1.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3582" name="up_blocks.1.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="706902696" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3583" name="up_blocks.1.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3584" name="up_blocks.1.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3585" name="/up_blocks.1/resnets.2/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3586" name="Constant_23266" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280" offset="706905256" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3587" name="/up_blocks.1/resnets.2/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3588" name="/up_blocks.1/resnets.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.2/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3589" name="/up_blocks.1/resnets.2/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3590" name="/up_blocks.1/resnets.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.2/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3591" name="/up_blocks.1/resnets.2/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3592" name="/up_blocks.1/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3593" name="/up_blocks.1/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3594" name="/up_blocks.1/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3595" name="Constant_5850" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3596" name="MVN_5851" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3597" name="Constant_25148" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3598" name="/up_blocks.1/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3599" name="Constant_23267" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="706910376" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3600" name="/up_blocks.1/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3601" name="Constant_23268" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="706915496" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3602" name="/up_blocks.1/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3603" name="/up_blocks.1/resnets.2/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/resnets.2/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3604" name="/up_blocks.1/resnets.2/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3605" name="/up_blocks.1/resnets.2/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="206906088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3606" name="/up_blocks.1/resnets.2/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3607" name="/up_blocks.1/resnets.2/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="206906088" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3608" name="/up_blocks.1/resnets.2/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3609" name="Constant_1166627" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="706920616" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3610" name="Convert_1166628" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3611" name="Constant_1166629" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="721666216" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3612" name="/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3613" name="/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3614" name="Reshape_5899" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="721671336" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3615" name="/up_blocks.1/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3616" name="/up_blocks.1/resnets.2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/resnets.2/Add_1_output_0,/up_blocks.1/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3617" name="/up_blocks.1/attentions.2/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3618" name="/up_blocks.1/attentions.2/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3619" name="Constant_5926" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3620" name="MVN_5927" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3621" name="Constant_25149" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="60059064" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3622" name="/up_blocks.1/attentions.2/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3623" name="Constant_23269" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="721676456" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3624" name="/up_blocks.1/attentions.2/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3625" name="Constant_23270" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="721681576" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3626" name="/up_blocks.1/attentions.2/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3627" name="/up_blocks.1/attentions.2/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="721686696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3628" name="/up_blocks.1/attentions.2/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="721686700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3629" name="/up_blocks.1/attentions.2/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="721686696" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3630" name="/up_blocks.1/attentions.2/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="721686700" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3631" name="/up_blocks.1/attentions.2/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3632" name="Constant_1166631" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="721686704" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3633" name="Convert_1166632" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3634" name="Constant_1166633" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="723325104" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3635" name="/up_blocks.1/attentions.2/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3636" name="/up_blocks.1/attentions.2/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3637" name="Reshape_5973" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="723330224" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3638" name="/up_blocks.1/attentions.2/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3639" name="Constant_5977" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3640" name="/up_blocks.1/attentions.2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3641" name="/up_blocks.1/attentions.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="76484072" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3642" name="/up_blocks.1/attentions.2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3643" name="Range_5984" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3644" name="MVN_5985" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3645" name="Constant_23271" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="723335344" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3646" name="Multiply_5986" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3647" name="Constant_23272" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="723340464" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3648" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3649" name="Transpose_21711" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="723345584" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3650" name="Convert_90550" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3651" name="Transpose_21711/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="724983984" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3652" name="Convert_90553" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3653" name="Transpose_21711/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3654" name="Transpose_21711/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="724985264" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3655" name="Transpose_21711/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3656" name="Transpose_21711/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3657" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3658" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3659" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3660" name="Constant_5995" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3661" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3662" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3663" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3664" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3665" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3666" name="Broadcast_6006" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3667" name="Constant_6011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3668" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3669" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3670" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3671" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3672" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3673" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3674" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="724987824" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3675" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="724987828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3676" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="724987824" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3677" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="724987828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3678" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3679" name="Transpose_21716" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="724987832" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3680" name="Convert_90561" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3681" name="Transpose_21716/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="726626232" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3682" name="Convert_90564" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3683" name="Transpose_21716/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3684" name="Transpose_21716/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="726627512" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3685" name="Transpose_21716/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3686" name="Transpose_21716/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3687" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3688" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3689" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3690" name="Constant_6019" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3691" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3692" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3693" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="726630072" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3694" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="726630076" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3695" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="726630072" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3696" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="726630076" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3697" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3698" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3699" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3700" name="Transpose_21721" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="726630080" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3701" name="Convert_90539" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3702" name="Transpose_21721/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="728268480" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3703" name="Convert_90542" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3704" name="Transpose_21721/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3705" name="Transpose_21721/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="728269760" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3706" name="Transpose_21721/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3707" name="Transpose_21721/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3708" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3709" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3710" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3711" name="Constant_5999" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3712" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3713" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3714" name="Constant_6028" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3715" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3716" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3717" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3718" name="Transpose_21724" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="728272320" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3719" name="Convert_90572" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3720" name="Transpose_21724/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="729910720" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3721" name="Convert_90575" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3722" name="Transpose_21724/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3723" name="Transpose_21724/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="729912000" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3724" name="Transpose_21724/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3725" name="Transpose_21724/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3726" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3727" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3728" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3729" name="Range_6041" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3730" name="MVN_6042" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3731" name="Constant_23274" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="729914560" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3732" name="Multiply_6043" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3733" name="Constant_23275" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="729919680" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3734" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3735" name="Transpose_21737" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="729924800" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3736" name="Convert_90583" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3737" name="Transpose_21737/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="731563200" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3738" name="Convert_90586" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3739" name="Transpose_21737/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3740" name="Transpose_21737/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="731564480" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3741" name="Transpose_21737/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3742" name="Transpose_21737/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3743" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3744" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3745" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3746" name="Constant_6052" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3747" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3748" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3749" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3750" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3751" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3752" name="Broadcast_6063" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3753" name="Constant_6068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3754" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3755" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3756" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3757" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3758" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3759" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3760" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="731567040" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3761" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="731567044" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3762" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="731567040" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3763" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="731567044" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3764" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3765" name="Transpose_21742" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="731567048" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3766" name="Convert_90759" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3767" name="Transpose_21742/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="732550088" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3768" name="Convert_90762" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3769" name="Transpose_21742/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3770" name="Transpose_21742/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="732551368" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3771" name="Transpose_21742/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3772" name="Transpose_21742/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3773" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3774" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3775" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3776" name="Constant_6076" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3777" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3778" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3779" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="732553928" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3780" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="732553932" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3781" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="732553928" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3782" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="732553932" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3783" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3784" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3785" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3786" name="Transpose_21747" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 768" offset="732553936" size="983040" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3787" name="Convert_90748" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3788" name="Transpose_21747/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="733536976" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3789" name="Convert_90751" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3790" name="Transpose_21747/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3791" name="Transpose_21747/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="733538256" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3792" name="Transpose_21747/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3793" name="Transpose_21747/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3794" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3795" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78136576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3796" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3797" name="Constant_6056" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3798" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3799" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3800" name="Constant_6085" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3801" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>256</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3802" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="81421104" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3803" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>8</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3804" name="Transpose_21750" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1280" offset="733540816" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3805" name="Convert_90594" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3806" name="Transpose_21750/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="735179216" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3807" name="Convert_90597" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3808" name="Transpose_21750/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3809" name="Transpose_21750/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="735180496" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3810" name="Transpose_21750/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3811" name="Transpose_21750/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3812" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3813" name="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3814" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3815" name="Range_6098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3816" name="MVN_6099" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3817" name="Constant_23277" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="735183056" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3818" name="Multiply_6100" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3819" name="Constant_23278" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="735188176" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3820" name="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3821" name="Transpose_21763" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1280" offset="735193296" size="13107200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3822" name="Convert_89912" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3823" name="Transpose_21763/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="10240, 1" offset="748300496" size="10240" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3824" name="Convert_89915" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3825" name="Transpose_21763/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3826" name="Transpose_21763/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1" offset="748310736" size="20480" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3827" name="Transpose_21763/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3828" name="Transpose_21763/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3829" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3830" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3831" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3832" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3833" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3834" name="Constant_6106" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3835" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3836" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3837" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3838" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3839" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3840" name="Broadcast_6117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3841" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3842" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3843" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3844" name="Broadcast_6167" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3845" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3846" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3847" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3848" name="Transpose_21781" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 5120" offset="748331216" size="6553600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3849" name="Convert_89978" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3850" name="Transpose_21781/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1280, 1" offset="754884816" size="1280" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3851" name="Convert_89981" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3852" name="Transpose_21781/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3853" name="Transpose_21781/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1" offset="754886096" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3854" name="Transpose_21781/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3855" name="Transpose_21781/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3856" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3857" name="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3858" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3859" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="754888656" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3860" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="754888660" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3861" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="754888656" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3862" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="754888660" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3863" name="/up_blocks.1/attentions.2/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3864" name="/up_blocks.1/attentions.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="108037472" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.1/attentions.2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3865" name="/up_blocks.1/attentions.2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3866" name="Constant_6227" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3867" name="/up_blocks.1/attentions.2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3868" name="Constant_1166635" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 1, 1" offset="754888664" size="1638400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3869" name="Convert_1166636" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3870" name="Constant_1166637" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="756527064" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3871" name="/up_blocks.1/attentions.2/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3872" name="/up_blocks.1/attentions.2/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3873" name="Reshape_6241" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="756532184" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3874" name="/up_blocks.1/attentions.2/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3875" name="/up_blocks.1/attentions.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/attentions.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3876" name="/up_blocks.1/attentions.2/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537304" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3877" name="/up_blocks.1/attentions.2/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537308" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3878" name="/up_blocks.1/attentions.2/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537304" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3879" name="/up_blocks.1/attentions.2/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537308" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3880" name="/up_blocks.1/attentions.2/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3881" name="/up_blocks.1/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="497728704" size="16" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.1/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3882" name="/up_blocks.1/upsamplers.0/Resize" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/upsamplers.0/Resize_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3883" name="/up_blocks.1/upsamplers.0/Resize/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537304" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3884" name="/up_blocks.1/upsamplers.0/Resize/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537308" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3885" name="/up_blocks.1/upsamplers.0/Resize/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537304" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3886" name="/up_blocks.1/upsamplers.0/Resize/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="756537308" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3887" name="/up_blocks.1/upsamplers.0/Resize/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3888" name="Constant_1166639" type="Const" version="opset1">
+			<data element_type="i8" shape="1280, 1280, 3, 3" offset="756537312" size="14745600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3889" name="Convert_1166640" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3890" name="Constant_1166641" type="Const" version="opset1">
+			<data element_type="f32" shape="1280, 1, 1, 1" offset="771282912" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3891" name="/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3892" name="/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3893" name="Reshape_6261" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="771288032" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3894" name="/up_blocks.1/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.1/upsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3895" name="/up_blocks.2/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/Concat_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3896" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="771293152" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3897" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="771293156" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3898" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="771293152" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3899" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="771293156" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3900" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3901" name="Constant_1166643" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 1920, 1, 1" offset="771293160" size="1228800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3902" name="Convert_1166644" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3903" name="Constant_1166645" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="772521960" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3904" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3905" name="/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3906" name="Reshape_6403" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="772524520" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3907" name="/up_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3908" name="/up_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3909" name="/up_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>61440</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3910" name="Constant_6270" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3911" name="MVN_6271" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>61440</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>61440</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3912" name="Constant_25150" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="772527080" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3913" name="/up_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>61440</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3914" name="Constant_23281" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1920, 1, 1" offset="772527112" size="7680" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3915" name="/up_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3916" name="Constant_23282" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1920, 1, 1" offset="772534792" size="7680" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3917" name="/up_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3918" name="/up_blocks.2/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3919" name="/up_blocks.2/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="772542472" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3920" name="/up_blocks.2/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="772542476" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3921" name="/up_blocks.2/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="772542472" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3922" name="/up_blocks.2/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="772542476" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3923" name="/up_blocks.2/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3924" name="Constant_1166647" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 1920, 3, 3" offset="772542480" size="11059200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3925" name="Convert_1166648" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3926" name="Constant_1166649" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="783601680" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3927" name="/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3928" name="/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3929" name="Reshape_6319" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="783604240" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3930" name="/up_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3931" name="up_blocks.2.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="783606800" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3932" name="Convert_90825" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3933" name="up_blocks.2.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="784426000" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3934" name="Convert_90828" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3935" name="up_blocks.2.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3936" name="up_blocks.2.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="784426640" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3937" name="up_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3938" name="up_blocks.2.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3939" name="/up_blocks.2/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3940" name="Constant_23283" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="784427920" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3941" name="/up_blocks.2/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3942" name="/up_blocks.2/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3943" name="/up_blocks.2/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3944" name="/up_blocks.2/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3945" name="/up_blocks.2/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3946" name="/up_blocks.2/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3947" name="/up_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3948" name="/up_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3949" name="Constant_6338" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3950" name="MVN_6339" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3951" name="Constant_25151" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3952" name="/up_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3953" name="Constant_23284" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="784430480" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3954" name="/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3955" name="Constant_23285" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="784433040" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3956" name="/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3957" name="/up_blocks.2/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3958" name="/up_blocks.2/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3959" name="/up_blocks.2/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="784435600" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3960" name="/up_blocks.2/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3961" name="/up_blocks.2/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="784435600" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3962" name="/up_blocks.2/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3963" name="Constant_1166651" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="784435604" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3964" name="Convert_1166652" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3965" name="Constant_1166653" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="788122004" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3966" name="/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3967" name="/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3968" name="Reshape_6387" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="788124564" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3969" name="/up_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3970" name="/up_blocks.2/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.0/Add_1_output_0,/up_blocks.2/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3971" name="/up_blocks.2/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3972" name="/up_blocks.2/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3973" name="Constant_6414" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3974" name="MVN_6415" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3975" name="Constant_25152" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3976" name="/up_blocks.2/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3977" name="Constant_23286" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="788127124" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3978" name="/up_blocks.2/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3979" name="Constant_23287" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="788129684" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3980" name="/up_blocks.2/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3981" name="/up_blocks.2/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788132244" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3982" name="/up_blocks.2/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788132248" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3983" name="/up_blocks.2/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788132244" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3984" name="/up_blocks.2/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788132248" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3985" name="/up_blocks.2/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3986" name="Constant_1166655" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="788132252" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3987" name="Convert_1166656" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3988" name="Constant_1166657" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="788541852" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3989" name="/up_blocks.2/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3990" name="/up_blocks.2/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3991" name="Reshape_6461" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="788544412" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3992" name="/up_blocks.2/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3993" name="Constant_6465" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3994" name="/up_blocks.2/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3995" name="/up_blocks.2/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20228396" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3996" name="/up_blocks.2/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3997" name="Range_6472" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3998" name="MVN_6473" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3999" name="Constant_23288" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="788546972" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4000" name="Multiply_6474" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4001" name="Constant_23289" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="788549532" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4002" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4003" name="Transpose_21828" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="788552092" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4004" name="Convert_91221" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4005" name="Transpose_21828/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="788961692" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4006" name="Convert_91224" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4007" name="Transpose_21828/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4008" name="Transpose_21828/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="788962332" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4009" name="Transpose_21828/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4010" name="Transpose_21828/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4011" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4012" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4013" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4014" name="Constant_6483" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4015" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4016" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4017" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4018" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4019" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4020" name="Broadcast_6494" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4021" name="Constant_6499" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4022" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4023" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4024" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4025" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4026" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4027" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4028" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788963612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4029" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788963616" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4030" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788963612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4031" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="788963616" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4032" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4033" name="Transpose_21833" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="788963620" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4034" name="Convert_91232" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4035" name="Transpose_21833/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="789373220" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4036" name="Convert_91235" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4037" name="Transpose_21833/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4038" name="Transpose_21833/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="789373860" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4039" name="Transpose_21833/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4040" name="Transpose_21833/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4041" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4042" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4043" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4044" name="Constant_6507" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4045" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4046" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4047" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="789375140" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4048" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="789375144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4049" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="789375140" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4050" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="789375144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4051" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4052" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4053" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4054" name="Transpose_21838" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="789375148" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4055" name="Convert_91210" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4056" name="Transpose_21838/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="789784748" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4057" name="Convert_91213" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4058" name="Transpose_21838/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4059" name="Transpose_21838/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="789785388" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4060" name="Transpose_21838/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4061" name="Transpose_21838/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4062" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4063" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4064" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4065" name="Constant_6487" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4066" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4067" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4068" name="Constant_6516" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4069" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4070" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4071" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4072" name="Transpose_21841" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="789786668" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4073" name="Convert_91243" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4074" name="Transpose_21841/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="790196268" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4075" name="Convert_91246" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4076" name="Transpose_21841/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4077" name="Transpose_21841/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="790196908" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4078" name="Transpose_21841/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4079" name="Transpose_21841/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4080" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4081" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4082" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4083" name="Range_6529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4084" name="MVN_6530" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4085" name="Constant_23291" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="790198188" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4086" name="Multiply_6531" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4087" name="Constant_23292" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="790200748" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4088" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4089" name="Transpose_21854" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="790203308" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4090" name="Convert_91254" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4091" name="Transpose_21854/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="790612908" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4092" name="Convert_91257" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4093" name="Transpose_21854/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4094" name="Transpose_21854/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="790613548" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4095" name="Transpose_21854/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4096" name="Transpose_21854/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4097" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4098" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4099" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4100" name="Constant_6540" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4101" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4102" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4103" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4104" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4105" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4106" name="Broadcast_6551" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4107" name="Constant_6556" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4108" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4109" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4110" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4111" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4112" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4113" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4114" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="790614828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4115" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="790614832" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4116" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="790614828" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4117" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="790614832" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4118" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4119" name="Transpose_21859" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="790614836" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4120" name="Convert_90935" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4121" name="Transpose_21859/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="791106356" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4122" name="Convert_90938" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4123" name="Transpose_21859/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4124" name="Transpose_21859/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="791106996" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4125" name="Transpose_21859/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4126" name="Transpose_21859/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4127" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4128" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4129" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4130" name="Constant_6564" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4131" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4132" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4133" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="791108276" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4134" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="791108280" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4135" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="791108276" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4136" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="791108280" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4137" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4138" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4139" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4140" name="Transpose_21864" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="791108284" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4141" name="Convert_90924" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4142" name="Transpose_21864/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="791599804" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4143" name="Convert_90927" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4144" name="Transpose_21864/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4145" name="Transpose_21864/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="791600444" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4146" name="Transpose_21864/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4147" name="Transpose_21864/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4148" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4149" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4150" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4151" name="Constant_6544" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4152" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4153" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4154" name="Constant_6573" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4155" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4156" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4157" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4158" name="Transpose_21867" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="791601724" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4159" name="Convert_91265" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4160" name="Transpose_21867/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="792011324" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4161" name="Convert_91268" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4162" name="Transpose_21867/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4163" name="Transpose_21867/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="792011964" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4164" name="Transpose_21867/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4165" name="Transpose_21867/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4166" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4167" name="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4168" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4169" name="Range_6586" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4170" name="MVN_6587" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4171" name="Constant_23294" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="792013244" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4172" name="Multiply_6588" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4173" name="Constant_23295" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="792015804" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4174" name="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4175" name="Transpose_21880" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="792018364" size="3276800" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4176" name="Convert_90011" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4177" name="Transpose_21880/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="795295164" size="5120" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4178" name="Convert_90014" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4179" name="Transpose_21880/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4180" name="Transpose_21880/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="795300284" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4181" name="Transpose_21880/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4182" name="Transpose_21880/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4183" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4184" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4185" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4186" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4187" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4188" name="Constant_6594" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4189" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4190" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4191" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4192" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4193" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4194" name="Broadcast_6605" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4195" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4196" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4197" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4198" name="Broadcast_6655" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4199" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4200" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4201" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4202" name="Transpose_21898" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="795310524" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4203" name="Convert_90605" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4204" name="Transpose_21898/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="796948924" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4205" name="Convert_90608" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4206" name="Transpose_21898/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4207" name="Transpose_21898/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="796949564" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4208" name="Transpose_21898/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4209" name="Transpose_21898/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4210" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4211" name="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4212" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4213" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="796950844" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4214" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="796950848" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4215" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="796950844" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4216" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="796950848" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4217" name="/up_blocks.2/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4218" name="/up_blocks.2/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="28632356" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4219" name="/up_blocks.2/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4220" name="Constant_6715" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4221" name="/up_blocks.2/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4222" name="Constant_1166659" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="796950852" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4223" name="Convert_1166660" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4224" name="Constant_1166661" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="797360452" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4225" name="/up_blocks.2/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4226" name="/up_blocks.2/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4227" name="Reshape_6729" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="797363012" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4228" name="/up_blocks.2/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4229" name="/up_blocks.2/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4230" name="/up_blocks.2/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/Concat_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4231" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="797365572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4232" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="797365576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4233" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="797365572" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4234" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="797365576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4235" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4236" name="Constant_1166663" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 1280, 1, 1" offset="797365580" size="819200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4237" name="Convert_1166664" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4238" name="Constant_1166665" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="798184780" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4239" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4240" name="/up_blocks.2/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4241" name="Reshape_6872" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="798187340" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4242" name="/up_blocks.2/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4243" name="/up_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4244" name="/up_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4245" name="Constant_6739" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4246" name="MVN_6740" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4247" name="Constant_25153" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="798189900" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4248" name="/up_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4249" name="Constant_23298" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="798189932" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4250" name="/up_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4251" name="Constant_23299" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1280, 1, 1" offset="798195052" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4252" name="/up_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4253" name="/up_blocks.2/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4254" name="/up_blocks.2/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="798200172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4255" name="/up_blocks.2/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="798200176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4256" name="/up_blocks.2/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="798200172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4257" name="/up_blocks.2/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="798200176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4258" name="/up_blocks.2/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4259" name="Constant_1166667" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 1280, 3, 3" offset="798200180" size="7372800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4260" name="Convert_1166668" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4261" name="Constant_1166669" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="805572980" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4262" name="/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4263" name="/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4264" name="Reshape_6788" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="805575540" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4265" name="/up_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4266" name="up_blocks.2.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="805578100" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4267" name="Convert_90803" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4268" name="up_blocks.2.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="806397300" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4269" name="Convert_90806" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4270" name="up_blocks.2.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4271" name="up_blocks.2.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="806397940" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4272" name="up_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4273" name="up_blocks.2.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4274" name="/up_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4275" name="Constant_23300" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="806399220" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4276" name="/up_blocks.2/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4277" name="/up_blocks.2/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4278" name="/up_blocks.2/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4279" name="/up_blocks.2/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4280" name="/up_blocks.2/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4281" name="/up_blocks.2/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4282" name="/up_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4283" name="/up_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4284" name="Constant_6807" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4285" name="MVN_6808" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4286" name="Constant_25154" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4287" name="/up_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4288" name="Constant_23301" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="806401780" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4289" name="/up_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4290" name="Constant_23302" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="806404340" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4291" name="/up_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4292" name="/up_blocks.2/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4293" name="/up_blocks.2/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4294" name="/up_blocks.2/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="806406900" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4295" name="/up_blocks.2/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4296" name="/up_blocks.2/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="806406900" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4297" name="/up_blocks.2/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4298" name="Constant_1166671" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="806406904" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4299" name="Convert_1166672" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4300" name="Constant_1166673" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="810093304" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4301" name="/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4302" name="/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4303" name="Reshape_6856" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="810095864" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4304" name="/up_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4305" name="/up_blocks.2/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.1/Add_1_output_0,/up_blocks.2/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4306" name="/up_blocks.2/attentions.1/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4307" name="/up_blocks.2/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4308" name="Constant_6883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4309" name="MVN_6884" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4310" name="Constant_25155" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4311" name="/up_blocks.2/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4312" name="Constant_23303" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="810098424" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4313" name="/up_blocks.2/attentions.1/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4314" name="Constant_23304" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="810100984" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4315" name="/up_blocks.2/attentions.1/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4316" name="/up_blocks.2/attentions.1/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810103544" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4317" name="/up_blocks.2/attentions.1/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810103548" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4318" name="/up_blocks.2/attentions.1/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810103544" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4319" name="/up_blocks.2/attentions.1/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810103548" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4320" name="/up_blocks.2/attentions.1/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4321" name="Constant_1166675" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="810103552" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4322" name="Convert_1166676" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4323" name="Constant_1166677" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="810513152" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4324" name="/up_blocks.2/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4325" name="/up_blocks.2/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4326" name="Reshape_6930" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="810515712" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4327" name="/up_blocks.2/attentions.1/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4328" name="Constant_6934" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4329" name="/up_blocks.2/attentions.1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4330" name="/up_blocks.2/attentions.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20228396" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4331" name="/up_blocks.2/attentions.1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4332" name="Range_6941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4333" name="MVN_6942" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4334" name="Constant_23305" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="810518272" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4335" name="Multiply_6943" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4336" name="Constant_23306" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="810520832" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4337" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4338" name="Transpose_21943" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="810523392" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4339" name="Convert_91287" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4340" name="Transpose_21943/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="810932992" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4341" name="Convert_91290" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4342" name="Transpose_21943/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4343" name="Transpose_21943/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="810933632" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4344" name="Transpose_21943/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4345" name="Transpose_21943/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4346" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4347" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4348" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4349" name="Constant_6952" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4350" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4351" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4352" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4353" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4354" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4355" name="Broadcast_6963" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4356" name="Constant_6968" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4357" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4358" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4359" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4360" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4361" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4362" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4363" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810934912" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4364" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810934916" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4365" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810934912" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4366" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="810934916" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4367" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4368" name="Transpose_21948" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="810934920" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4369" name="Convert_91298" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4370" name="Transpose_21948/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="811344520" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4371" name="Convert_91301" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4372" name="Transpose_21948/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4373" name="Transpose_21948/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="811345160" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4374" name="Transpose_21948/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4375" name="Transpose_21948/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4376" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4377" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4378" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4379" name="Constant_6976" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4380" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4381" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4382" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="811346440" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4383" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="811346444" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4384" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="811346440" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4385" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="811346444" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4386" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4387" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4388" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4389" name="Transpose_21953" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="811346448" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4390" name="Convert_91276" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4391" name="Transpose_21953/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="811756048" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4392" name="Convert_91279" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4393" name="Transpose_21953/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4394" name="Transpose_21953/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="811756688" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4395" name="Transpose_21953/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4396" name="Transpose_21953/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4397" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4398" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4399" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4400" name="Constant_6956" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4401" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4402" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4403" name="Constant_6985" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4404" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4405" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4406" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4407" name="Transpose_21956" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="811757968" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4408" name="Convert_91309" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4409" name="Transpose_21956/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="812167568" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4410" name="Convert_91312" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4411" name="Transpose_21956/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4412" name="Transpose_21956/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="812168208" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4413" name="Transpose_21956/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4414" name="Transpose_21956/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4415" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4416" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4417" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4418" name="Range_6998" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4419" name="MVN_6999" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4420" name="Constant_23308" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="812169488" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4421" name="Multiply_7000" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4422" name="Constant_23309" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="812172048" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4423" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4424" name="Transpose_21969" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="812174608" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4425" name="Convert_91320" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4426" name="Transpose_21969/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="812584208" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4427" name="Convert_91323" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4428" name="Transpose_21969/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4429" name="Transpose_21969/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="812584848" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4430" name="Transpose_21969/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4431" name="Transpose_21969/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4432" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4433" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4434" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4435" name="Constant_7009" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4436" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4437" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4438" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4439" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4440" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4441" name="Broadcast_7020" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4442" name="Constant_7025" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4443" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4444" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4445" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4446" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4447" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4448" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4449" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="812586128" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4450" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="812586132" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4451" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="812586128" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4452" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="812586132" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4453" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4454" name="Transpose_21974" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="812586136" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4455" name="Convert_90957" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4456" name="Transpose_21974/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="813077656" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4457" name="Convert_90960" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4458" name="Transpose_21974/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4459" name="Transpose_21974/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="813078296" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4460" name="Transpose_21974/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4461" name="Transpose_21974/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4462" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4463" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4464" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4465" name="Constant_7033" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4466" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4467" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4468" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="813079576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4469" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="813079580" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4470" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="813079576" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4471" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="813079580" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4472" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4473" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4474" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4475" name="Transpose_21979" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="813079584" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4476" name="Convert_90946" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4477" name="Transpose_21979/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="813571104" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4478" name="Convert_90949" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4479" name="Transpose_21979/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4480" name="Transpose_21979/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="813571744" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4481" name="Transpose_21979/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4482" name="Transpose_21979/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4483" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4484" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4485" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4486" name="Constant_7013" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4487" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4488" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4489" name="Constant_7042" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4490" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4491" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4492" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4493" name="Transpose_21982" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="813573024" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4494" name="Convert_91331" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4495" name="Transpose_21982/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="813982624" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4496" name="Convert_91334" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4497" name="Transpose_21982/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4498" name="Transpose_21982/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="813983264" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4499" name="Transpose_21982/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4500" name="Transpose_21982/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4501" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4502" name="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4503" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4504" name="Range_7055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4505" name="MVN_7056" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4506" name="Constant_23311" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="813984544" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4507" name="Multiply_7057" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4508" name="Constant_23312" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="813987104" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4509" name="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4510" name="Transpose_21995" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="813989664" size="3276800" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4511" name="Convert_90022" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4512" name="Transpose_21995/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="817266464" size="5120" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4513" name="Convert_90025" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4514" name="Transpose_21995/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4515" name="Transpose_21995/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="817271584" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4516" name="Transpose_21995/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4517" name="Transpose_21995/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4518" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4519" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4520" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4521" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4522" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4523" name="Constant_7063" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4524" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4525" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4526" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4527" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4528" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4529" name="Broadcast_7074" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4530" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4531" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4532" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4533" name="Broadcast_7124" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4534" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4535" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4536" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4537" name="Transpose_22013" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="817281824" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4538" name="Convert_90616" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4539" name="Transpose_22013/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="818920224" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4540" name="Convert_90619" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4541" name="Transpose_22013/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4542" name="Transpose_22013/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="818920864" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4543" name="Transpose_22013/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4544" name="Transpose_22013/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4545" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4546" name="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4547" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4548" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="818922144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4549" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="818922148" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4550" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="818922144" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4551" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="818922148" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4552" name="/up_blocks.2/attentions.1/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4553" name="/up_blocks.2/attentions.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="28632356" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4554" name="/up_blocks.2/attentions.1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4555" name="Constant_7184" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4556" name="/up_blocks.2/attentions.1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4557" name="Constant_1166679" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="818922152" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4558" name="Convert_1166680" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4559" name="Constant_1166681" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="819331752" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4560" name="/up_blocks.2/attentions.1/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4561" name="/up_blocks.2/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4562" name="Reshape_7198" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="819334312" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4563" name="/up_blocks.2/attentions.1/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4564" name="/up_blocks.2/attentions.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4565" name="/up_blocks.2/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/Concat_2_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4566" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819336872" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4567" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819336876" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4568" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819336872" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4569" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819336876" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4570" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4571" name="Constant_1166683" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 960, 1, 1" offset="819336880" size="614400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4572" name="Convert_1166684" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4573" name="Constant_1166685" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="819951280" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4574" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4575" name="/up_blocks.2/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4576" name="Reshape_7341" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="819953840" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4577" name="/up_blocks.2/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4578" name="/up_blocks.2/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4579" name="/up_blocks.2/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>30720</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4580" name="Constant_7208" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4581" name="MVN_7209" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>30720</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>30720</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4582" name="Constant_25156" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="819956400" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4583" name="/up_blocks.2/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>30720</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4584" name="Constant_23315" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 960, 1, 1" offset="819956432" size="3840" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4585" name="/up_blocks.2/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4586" name="Constant_23316" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 960, 1, 1" offset="819960272" size="3840" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4587" name="/up_blocks.2/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4588" name="/up_blocks.2/resnets.2/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/resnets.2/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4589" name="/up_blocks.2/resnets.2/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819964112" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4590" name="/up_blocks.2/resnets.2/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819964116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4591" name="/up_blocks.2/resnets.2/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819964112" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4592" name="/up_blocks.2/resnets.2/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="819964116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4593" name="/up_blocks.2/resnets.2/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4594" name="Constant_1166687" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 960, 3, 3" offset="819964120" size="5529600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4595" name="Convert_1166688" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4596" name="Constant_1166689" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="825493720" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4597" name="/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4598" name="/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4599" name="Reshape_7257" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="825496280" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4600" name="/up_blocks.2/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4601" name="up_blocks.2.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1280" offset="825498840" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4602" name="Convert_90792" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4603" name="up_blocks.2.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="826318040" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4604" name="Convert_90795" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4605" name="up_blocks.2.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4606" name="up_blocks.2.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="826318680" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4607" name="up_blocks.2.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4608" name="up_blocks.2.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4609" name="/up_blocks.2/resnets.2/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4610" name="Constant_23317" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640" offset="826319960" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4611" name="/up_blocks.2/resnets.2/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4612" name="/up_blocks.2/resnets.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4613" name="/up_blocks.2/resnets.2/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4614" name="/up_blocks.2/resnets.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4615" name="/up_blocks.2/resnets.2/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4616" name="/up_blocks.2/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4617" name="/up_blocks.2/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4618" name="/up_blocks.2/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4619" name="Constant_7276" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4620" name="MVN_7277" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4621" name="Constant_25157" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4622" name="/up_blocks.2/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4623" name="Constant_23318" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="826322520" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4624" name="/up_blocks.2/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4625" name="Constant_23319" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="826325080" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4626" name="/up_blocks.2/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4627" name="/up_blocks.2/resnets.2/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/resnets.2/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4628" name="/up_blocks.2/resnets.2/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4629" name="/up_blocks.2/resnets.2/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970972" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4630" name="/up_blocks.2/resnets.2/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4631" name="/up_blocks.2/resnets.2/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970972" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4632" name="/up_blocks.2/resnets.2/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4633" name="Constant_1166691" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="826327640" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4634" name="Convert_1166692" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4635" name="Constant_1166693" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="830014040" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4636" name="/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4637" name="/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4638" name="Reshape_7325" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="830016600" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4639" name="/up_blocks.2/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4640" name="/up_blocks.2/resnets.2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/resnets.2/Add_1_output_0,/up_blocks.2/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4641" name="/up_blocks.2/attentions.2/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4642" name="/up_blocks.2/attentions.2/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4643" name="Constant_7352" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4644" name="MVN_7353" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4645" name="Constant_25158" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="16111868" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4646" name="/up_blocks.2/attentions.2/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>20480</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4647" name="Constant_23320" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="830019160" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4648" name="/up_blocks.2/attentions.2/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4649" name="Constant_23321" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="830021720" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4650" name="/up_blocks.2/attentions.2/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4651" name="/up_blocks.2/attentions.2/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830024280" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4652" name="/up_blocks.2/attentions.2/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830024284" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4653" name="/up_blocks.2/attentions.2/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830024280" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4654" name="/up_blocks.2/attentions.2/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830024284" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4655" name="/up_blocks.2/attentions.2/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4656" name="Constant_1166695" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="830024288" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4657" name="Convert_1166696" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4658" name="Constant_1166697" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="830433888" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4659" name="/up_blocks.2/attentions.2/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4660" name="/up_blocks.2/attentions.2/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4661" name="Reshape_7399" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="830436448" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4662" name="/up_blocks.2/attentions.2/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4663" name="Constant_7403" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4664" name="/up_blocks.2/attentions.2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4665" name="/up_blocks.2/attentions.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="20228396" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4666" name="/up_blocks.2/attentions.2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4667" name="Range_7410" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4668" name="MVN_7411" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4669" name="Constant_23322" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="830439008" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4670" name="Multiply_7412" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4671" name="Constant_23323" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="830441568" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4672" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4673" name="Transpose_22058" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="830444128" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4674" name="Convert_91353" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4675" name="Transpose_22058/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="830853728" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4676" name="Convert_91356" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4677" name="Transpose_22058/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4678" name="Transpose_22058/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="830854368" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4679" name="Transpose_22058/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4680" name="Transpose_22058/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4681" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4682" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4683" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4684" name="Constant_7421" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4685" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4686" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4687" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4688" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4689" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4690" name="Broadcast_7432" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4691" name="Constant_7437" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4692" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4693" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4694" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4695" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4696" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4697" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4698" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830855648" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4699" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830855652" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4700" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830855648" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4701" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="830855652" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4702" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4703" name="Transpose_22063" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="830855656" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4704" name="Convert_91364" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4705" name="Transpose_22063/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="831265256" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4706" name="Convert_91367" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4707" name="Transpose_22063/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4708" name="Transpose_22063/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="831265896" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4709" name="Transpose_22063/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4710" name="Transpose_22063/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4711" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4712" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4713" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4714" name="Constant_7445" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4715" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4716" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4717" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="831267176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4718" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="831267180" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4719" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="831267176" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4720" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="831267180" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4721" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4722" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4723" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4724" name="Transpose_22068" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="831267184" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4725" name="Convert_91342" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4726" name="Transpose_22068/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="831676784" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4727" name="Convert_91345" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4728" name="Transpose_22068/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4729" name="Transpose_22068/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="831677424" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4730" name="Transpose_22068/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4731" name="Transpose_22068/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4732" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4733" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4734" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4735" name="Constant_7425" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4736" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4737" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4738" name="Constant_7454" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4739" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4740" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4741" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4742" name="Transpose_22071" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="831678704" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4743" name="Convert_91375" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4744" name="Transpose_22071/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="832088304" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4745" name="Convert_91378" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4746" name="Transpose_22071/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4747" name="Transpose_22071/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="832088944" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4748" name="Transpose_22071/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4749" name="Transpose_22071/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4750" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4751" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4752" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4753" name="Range_7467" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4754" name="MVN_7468" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4755" name="Constant_23325" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="832090224" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4756" name="Multiply_7469" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4757" name="Constant_23326" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="832092784" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4758" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4759" name="Transpose_22084" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="832095344" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4760" name="Convert_91386" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4761" name="Transpose_22084/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="832504944" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4762" name="Convert_91389" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4763" name="Transpose_22084/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4764" name="Transpose_22084/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="832505584" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4765" name="Transpose_22084/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4766" name="Transpose_22084/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4767" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4768" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4769" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4770" name="Constant_7478" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4771" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4772" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4773" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4774" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4775" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4776" name="Broadcast_7489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4777" name="Constant_7494" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4778" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4779" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4780" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4781" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4782" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4783" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4784" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="832506864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4785" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="832506868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4786" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="832506864" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4787" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="832506868" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4788" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4789" name="Transpose_22089" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="832506872" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4790" name="Convert_90979" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4791" name="Transpose_22089/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="832998392" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4792" name="Convert_90982" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4793" name="Transpose_22089/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4794" name="Transpose_22089/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="832999032" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4795" name="Transpose_22089/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4796" name="Transpose_22089/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4797" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4798" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4799" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4800" name="Constant_7502" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4801" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4802" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4803" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="833000312" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4804" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="833000316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4805" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="833000312" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4806" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="833000316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4807" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4808" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4809" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4810" name="Transpose_22094" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 768" offset="833000320" size="491520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4811" name="Convert_90968" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4812" name="Transpose_22094/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="833491840" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4813" name="Convert_90971" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4814" name="Transpose_22094/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4815" name="Transpose_22094/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="833492480" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4816" name="Transpose_22094/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4817" name="Transpose_22094/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4818" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4819" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20645060" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4820" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4821" name="Constant_7482" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4822" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4823" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4824" name="Constant_7511" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4825" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>1024</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4826" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="21468148" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4827" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>8</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4828" name="Transpose_22097" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 640" offset="833493760" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4829" name="Convert_91397" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4830" name="Transpose_22097/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="833903360" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4831" name="Convert_91400" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4832" name="Transpose_22097/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4833" name="Transpose_22097/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="833904000" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4834" name="Transpose_22097/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4835" name="Transpose_22097/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4836" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4837" name="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4838" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4839" name="Range_7524" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4840" name="MVN_7525" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4841" name="Constant_23328" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="833905280" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4842" name="Multiply_7526" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4843" name="Constant_23329" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 640" offset="833907840" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4844" name="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4845" name="Transpose_22110" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 640" offset="833910400" size="3276800" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4846" name="Convert_90033" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4847" name="Transpose_22110/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="5120, 1" offset="837187200" size="5120" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4848" name="Convert_90036" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4849" name="Transpose_22110/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4850" name="Transpose_22110/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="5120, 1" offset="837192320" size="10240" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4851" name="Transpose_22110/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>5120</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4852" name="Transpose_22110/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4853" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>5120</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4854" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4855" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4856" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4857" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4858" name="Constant_7532" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4859" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4860" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4861" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4862" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4863" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4864" name="Broadcast_7543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4865" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4866" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4867" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4868" name="Broadcast_7593" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4869" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4870" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4871" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4872" name="Transpose_22128" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 2560" offset="837202560" size="1638400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4873" name="Convert_90627" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4874" name="Transpose_22128/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="640, 1" offset="838840960" size="640" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4875" name="Convert_90630" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4876" name="Transpose_22128/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4877" name="Transpose_22128/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1" offset="838841600" size="1280" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4878" name="Transpose_22128/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>640</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4879" name="Transpose_22128/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4880" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4881" name="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4882" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4883" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="838842880" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4884" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="838842884" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4885" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="838842880" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4886" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="838842884" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4887" name="/up_blocks.2/attentions.2/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4888" name="/up_blocks.2/attentions.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="28632356" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.2/attentions.2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4889" name="/up_blocks.2/attentions.2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4890" name="Constant_7653" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4891" name="/up_blocks.2/attentions.2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4892" name="Constant_1166699" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 1, 1" offset="838842888" size="409600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4893" name="Convert_1166700" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4894" name="Constant_1166701" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="839252488" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4895" name="/up_blocks.2/attentions.2/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4896" name="/up_blocks.2/attentions.2/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4897" name="Reshape_7667" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="839255048" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4898" name="/up_blocks.2/attentions.2/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4899" name="/up_blocks.2/attentions.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/attentions.2/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4900" name="/up_blocks.2/attentions.2/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257608" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4901" name="/up_blocks.2/attentions.2/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4902" name="/up_blocks.2/attentions.2/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257608" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4903" name="/up_blocks.2/attentions.2/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4904" name="/up_blocks.2/attentions.2/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4905" name="/up_blocks.2/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="497728704" size="16" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.2/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4906" name="/up_blocks.2/upsamplers.0/Resize" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/upsamplers.0/Resize_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4907" name="/up_blocks.2/upsamplers.0/Resize/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257608" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4908" name="/up_blocks.2/upsamplers.0/Resize/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4909" name="/up_blocks.2/upsamplers.0/Resize/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257608" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4910" name="/up_blocks.2/upsamplers.0/Resize/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="839257612" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4911" name="/up_blocks.2/upsamplers.0/Resize/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4912" name="Constant_1166703" type="Const" version="opset1">
+			<data element_type="i8" shape="640, 640, 3, 3" offset="839257616" size="3686400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4913" name="Convert_1166704" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4914" name="Constant_1166705" type="Const" version="opset1">
+			<data element_type="f32" shape="640, 1, 1, 1" offset="842944016" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4915" name="/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4916" name="/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>640</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4917" name="Reshape_7687" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="842946576" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4918" name="/up_blocks.2/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.2/upsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4919" name="/up_blocks.3/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/Concat_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4920" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="842949136" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4921" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="842949140" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4922" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="842949136" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4923" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="842949140" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4924" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4925" name="Constant_1166707" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 960, 1, 1" offset="842949144" size="307200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4926" name="Convert_1166708" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4927" name="Constant_1166709" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="843256344" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4928" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4929" name="/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4930" name="Reshape_7829" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="843257624" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4931" name="/up_blocks.3/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4932" name="/up_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4933" name="/up_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>122880</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4934" name="Constant_7696" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4935" name="MVN_7697" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>122880</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>122880</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4936" name="Constant_25159" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="843258904" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4937" name="/up_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>122880</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4938" name="Constant_23332" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 960, 1, 1" offset="843258936" size="3840" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4939" name="/up_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4940" name="Constant_23333" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 960, 1, 1" offset="843262776" size="3840" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4941" name="/up_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4942" name="/up_blocks.3/resnets.0/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/resnets.0/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4943" name="/up_blocks.3/resnets.0/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="843266616" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4944" name="/up_blocks.3/resnets.0/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="843266620" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4945" name="/up_blocks.3/resnets.0/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="843266616" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4946" name="/up_blocks.3/resnets.0/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="843266620" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4947" name="/up_blocks.3/resnets.0/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4948" name="Constant_1166711" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 960, 3, 3" offset="843266624" size="2764800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4949" name="Convert_1166712" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4950" name="Constant_1166713" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="846031424" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4951" name="/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4952" name="/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>960</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>960</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4953" name="Reshape_7745" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="846032704" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4954" name="/up_blocks.3/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4955" name="up_blocks.3.resnets.0.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="846033984" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4956" name="Convert_91045" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4957" name="up_blocks.3.resnets.0.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="846443584" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4958" name="Convert_91048" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4959" name="up_blocks.3.resnets.0.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4960" name="up_blocks.3.resnets.0.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="846443904" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4961" name="up_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4962" name="up_blocks.3.resnets.0.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4963" name="/up_blocks.3/resnets.0/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4964" name="Constant_23334" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="846444544" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4965" name="/up_blocks.3/resnets.0/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4966" name="/up_blocks.3/resnets.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4967" name="/up_blocks.3/resnets.0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4968" name="/up_blocks.3/resnets.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4969" name="/up_blocks.3/resnets.0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4970" name="/up_blocks.3/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4971" name="/up_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4972" name="/up_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4973" name="Constant_7764" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4974" name="MVN_7765" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4975" name="Constant_25160" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4976" name="/up_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4977" name="Constant_23335" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="846445824" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4978" name="/up_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4979" name="Constant_23336" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="846447104" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4980" name="/up_blocks.3/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4981" name="/up_blocks.3/resnets.0/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/resnets.0/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4982" name="/up_blocks.3/resnets.0/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="846448384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4983" name="/up_blocks.3/resnets.0/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="846448388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4984" name="/up_blocks.3/resnets.0/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="846448384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4985" name="/up_blocks.3/resnets.0/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="846448388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4986" name="/up_blocks.3/resnets.0/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4987" name="Constant_1166715" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="846448392" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4988" name="Convert_1166716" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4989" name="Constant_1166717" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="847369992" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4990" name="/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4991" name="/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4992" name="Reshape_7813" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="847371272" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4993" name="/up_blocks.3/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4994" name="/up_blocks.3/resnets.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.0/Add_1_output_0,/up_blocks.3/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4995" name="/up_blocks.3/attentions.0/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4996" name="/up_blocks.3/attentions.0/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4997" name="Constant_7840" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4998" name="MVN_7841" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4999" name="Constant_25161" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5000" name="/up_blocks.3/attentions.0/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5001" name="Constant_23337" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="847372552" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5002" name="/up_blocks.3/attentions.0/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5003" name="Constant_23338" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="847373832" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5004" name="/up_blocks.3/attentions.0/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5005" name="/up_blocks.3/attentions.0/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847375112" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5006" name="/up_blocks.3/attentions.0/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847375116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5007" name="/up_blocks.3/attentions.0/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847375112" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5008" name="/up_blocks.3/attentions.0/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847375116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5009" name="/up_blocks.3/attentions.0/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5010" name="Constant_1166719" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="847375120" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5011" name="Convert_1166720" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5012" name="Constant_1166721" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="847477520" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5013" name="/up_blocks.3/attentions.0/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5014" name="/up_blocks.3/attentions.0/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5015" name="Reshape_7887" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="847478800" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5016" name="/up_blocks.3/attentions.0/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5017" name="Constant_7891" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5018" name="/up_blocks.3/attentions.0/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5019" name="/up_blocks.3/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5002696" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5020" name="/up_blocks.3/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5021" name="Range_7898" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5022" name="MVN_7899" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5023" name="Constant_23339" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847480080" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5024" name="Multiply_7900" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5025" name="Constant_23340" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847481360" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5026" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5027" name="Transpose_22175" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847482640" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5028" name="Convert_91694" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5029" name="Transpose_22175/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847585040" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5030" name="Convert_91697" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5031" name="Transpose_22175/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5032" name="Transpose_22175/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847585360" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5033" name="Transpose_22175/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5034" name="Transpose_22175/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5035" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5036" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5037" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5038" name="Constant_7909" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5039" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5040" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5041" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5042" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5043" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5044" name="Broadcast_7920" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5045" name="Constant_7925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5046" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5047" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5048" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5049" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5050" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5051" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5052" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847586000" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5053" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847586004" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5054" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847586000" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5055" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847586004" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5056" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5057" name="Transpose_22180" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847586008" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5058" name="Convert_91705" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5059" name="Transpose_22180/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847688408" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5060" name="Convert_91708" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5061" name="Transpose_22180/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5062" name="Transpose_22180/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847688728" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5063" name="Transpose_22180/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5064" name="Transpose_22180/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5065" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5066" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5067" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5068" name="Constant_7933" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5069" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5070" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5071" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847689368" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5072" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847689372" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5073" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847689368" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5074" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="847689372" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5075" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5076" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5077" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5078" name="Transpose_22185" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847689376" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5079" name="Convert_91683" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5080" name="Transpose_22185/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847791776" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5081" name="Convert_91686" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5082" name="Transpose_22185/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5083" name="Transpose_22185/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847792096" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5084" name="Transpose_22185/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5085" name="Transpose_22185/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5086" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5087" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5088" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5089" name="Constant_7913" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5090" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5091" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5092" name="Constant_7942" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5093" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5094" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5095" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5096" name="Transpose_22188" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847792736" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5097" name="Convert_91716" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5098" name="Transpose_22188/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="847895136" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5099" name="Convert_91719" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5100" name="Transpose_22188/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5101" name="Transpose_22188/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="847895456" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5102" name="Transpose_22188/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5103" name="Transpose_22188/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5104" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5105" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5106" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5107" name="Range_7955" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5108" name="MVN_7956" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5109" name="Constant_23342" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847896096" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5110" name="Multiply_7957" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5111" name="Constant_23343" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="847897376" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5112" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5113" name="Transpose_22201" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="847898656" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5114" name="Convert_91727" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5115" name="Transpose_22201/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848001056" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5116" name="Convert_91730" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5117" name="Transpose_22201/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5118" name="Transpose_22201/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848001376" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5119" name="Transpose_22201/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5120" name="Transpose_22201/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5121" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5122" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5123" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5124" name="Constant_7966" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5125" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5126" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5127" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5128" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5129" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5130" name="Broadcast_7977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5131" name="Constant_7982" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5132" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5133" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5134" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5135" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5136" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5137" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5138" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848002016" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5139" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848002020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5140" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848002016" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5141" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848002020" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5142" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5143" name="Transpose_22206" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="848002024" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5144" name="Convert_91496" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5145" name="Transpose_22206/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848247784" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5146" name="Convert_91499" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5147" name="Transpose_22206/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5148" name="Transpose_22206/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848248104" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5149" name="Transpose_22206/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5150" name="Transpose_22206/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5151" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5152" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5153" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5154" name="Constant_7990" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5155" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5156" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5157" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848248744" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5158" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848248748" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5159" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848248744" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5160" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="848248748" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5161" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5162" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5163" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5164" name="Transpose_22211" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="848248752" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5165" name="Convert_91485" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5166" name="Transpose_22211/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848494512" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5167" name="Convert_91488" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5168" name="Transpose_22211/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5169" name="Transpose_22211/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848494832" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5170" name="Transpose_22211/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5171" name="Transpose_22211/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5172" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5173" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5174" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5175" name="Constant_7970" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5176" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5177" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5178" name="Constant_7999" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5179" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5180" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5181" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5182" name="Transpose_22214" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="848495472" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5183" name="Convert_91738" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5184" name="Transpose_22214/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="848597872" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5185" name="Convert_91741" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5186" name="Transpose_22214/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5187" name="Transpose_22214/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="848598192" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5188" name="Transpose_22214/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5189" name="Transpose_22214/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5190" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5191" name="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5192" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5193" name="Range_8012" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5194" name="MVN_8013" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5195" name="Constant_23345" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="848598832" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5196" name="Multiply_8014" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5197" name="Constant_23346" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="848600112" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5198" name="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5199" name="Transpose_22227" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="848601392" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5200" name="Convert_90847" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5201" name="Transpose_22227/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="849420592" size="2560" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5202" name="Convert_90850" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5203" name="Transpose_22227/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5204" name="Transpose_22227/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="849423152" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5205" name="Transpose_22227/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5206" name="Transpose_22227/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5207" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5208" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5209" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5210" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5211" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5212" name="Constant_8020" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="5213" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5214" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5215" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5216" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5217" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5218" name="Broadcast_8031" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5219" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5220" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5221" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5222" name="Broadcast_8081" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5223" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5224" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5225" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5226" name="Transpose_22245" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="849428272" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5227" name="Convert_91408" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5228" name="Transpose_22245/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="849837872" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5229" name="Convert_91411" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5230" name="Transpose_22245/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5231" name="Transpose_22245/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="849838192" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5232" name="Transpose_22245/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5233" name="Transpose_22245/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5234" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5235" name="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5236" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5237" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849838832" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5238" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849838836" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5239" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849838832" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5240" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849838836" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5241" name="/up_blocks.3/attentions.0/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5242" name="/up_blocks.3/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361580" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5243" name="/up_blocks.3/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5244" name="Constant_8141" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5245" name="/up_blocks.3/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5246" name="Constant_1166723" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="849838840" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5247" name="Convert_1166724" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5248" name="Constant_1166725" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="849941240" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5249" name="/up_blocks.3/attentions.0/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5250" name="/up_blocks.3/attentions.0/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5251" name="Reshape_8155" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="849942520" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5252" name="/up_blocks.3/attentions.0/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5253" name="/up_blocks.3/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.0/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5254" name="/up_blocks.3/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/Concat_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5255" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849943800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5256" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849943804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5257" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849943800" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5258" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="849943804" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5259" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5260" name="Constant_1166727" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 640, 1, 1" offset="849943808" size="204800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5261" name="Convert_1166728" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5262" name="Constant_1166729" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="850148608" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5263" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5264" name="/up_blocks.3/resnets.1/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5265" name="Reshape_8298" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="850149888" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5266" name="/up_blocks.3/resnets.1/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5267" name="/up_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5268" name="/up_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5269" name="Constant_8165" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5270" name="MVN_8166" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5271" name="Constant_25162" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="850151168" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5272" name="/up_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5273" name="Constant_23349" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="850151200" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5274" name="/up_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5275" name="Constant_23350" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="850153760" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5276" name="/up_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5277" name="/up_blocks.3/resnets.1/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/resnets.1/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5278" name="/up_blocks.3/resnets.1/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5279" name="/up_blocks.3/resnets.1/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="850156320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5280" name="/up_blocks.3/resnets.1/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5281" name="/up_blocks.3/resnets.1/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="850156320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5282" name="/up_blocks.3/resnets.1/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5283" name="Constant_1166731" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 640, 3, 3" offset="850156324" size="1843200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5284" name="Convert_1166732" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5285" name="Constant_1166733" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="851999524" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5286" name="/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5287" name="/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5288" name="Reshape_8214" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="852000804" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5289" name="/up_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5290" name="up_blocks.3.resnets.1.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="852002084" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5291" name="Convert_91012" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5292" name="up_blocks.3.resnets.1.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="852411684" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5293" name="Convert_91015" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5294" name="up_blocks.3.resnets.1.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5295" name="up_blocks.3.resnets.1.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="852412004" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5296" name="up_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5297" name="up_blocks.3.resnets.1.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5298" name="/up_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5299" name="Constant_23351" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="852412644" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5300" name="/up_blocks.3/resnets.1/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5301" name="/up_blocks.3/resnets.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5302" name="/up_blocks.3/resnets.1/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5303" name="/up_blocks.3/resnets.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5304" name="/up_blocks.3/resnets.1/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5305" name="/up_blocks.3/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5306" name="/up_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5307" name="/up_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5308" name="Constant_8233" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5309" name="MVN_8234" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5310" name="Constant_25163" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5311" name="/up_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5312" name="Constant_23352" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="852413924" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5313" name="/up_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5314" name="Constant_23353" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="852415204" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5315" name="/up_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5316" name="/up_blocks.3/resnets.1/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/resnets.1/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5317" name="/up_blocks.3/resnets.1/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5318" name="/up_blocks.3/resnets.1/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="852416484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5319" name="/up_blocks.3/resnets.1/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="3970968" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5320" name="/up_blocks.3/resnets.1/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="852416484" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5321" name="/up_blocks.3/resnets.1/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5322" name="Constant_1166735" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="852416488" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5323" name="Convert_1166736" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5324" name="Constant_1166737" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="853338088" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5325" name="/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5326" name="/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5327" name="Reshape_8282" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="853339368" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5328" name="/up_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5329" name="/up_blocks.3/resnets.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.1/Add_1_output_0,/up_blocks.3/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5330" name="/up_blocks.3/attentions.1/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5331" name="/up_blocks.3/attentions.1/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5332" name="Constant_8309" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5333" name="MVN_8310" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5334" name="Constant_25164" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5335" name="/up_blocks.3/attentions.1/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5336" name="Constant_23354" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="853340648" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5337" name="/up_blocks.3/attentions.1/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5338" name="Constant_23355" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="853341928" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5339" name="/up_blocks.3/attentions.1/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5340" name="/up_blocks.3/attentions.1/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853343208" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5341" name="/up_blocks.3/attentions.1/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853343212" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5342" name="/up_blocks.3/attentions.1/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853343208" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5343" name="/up_blocks.3/attentions.1/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853343212" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5344" name="/up_blocks.3/attentions.1/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5345" name="Constant_1166739" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="853343216" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5346" name="Convert_1166740" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5347" name="Constant_1166741" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="853445616" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5348" name="/up_blocks.3/attentions.1/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5349" name="/up_blocks.3/attentions.1/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5350" name="Reshape_8356" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="853446896" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5351" name="/up_blocks.3/attentions.1/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5352" name="Constant_8360" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5353" name="/up_blocks.3/attentions.1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5354" name="/up_blocks.3/attentions.1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5002696" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5355" name="/up_blocks.3/attentions.1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5356" name="Range_8367" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5357" name="MVN_8368" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5358" name="Constant_23356" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853448176" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5359" name="Multiply_8369" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5360" name="Constant_23357" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853449456" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5361" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5362" name="Transpose_22290" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853450736" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5363" name="Convert_91760" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5364" name="Transpose_22290/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853553136" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5365" name="Convert_91763" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5366" name="Transpose_22290/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5367" name="Transpose_22290/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853553456" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5368" name="Transpose_22290/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5369" name="Transpose_22290/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5370" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5371" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5372" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5373" name="Constant_8378" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5374" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5375" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5376" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5377" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5378" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5379" name="Broadcast_8389" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5380" name="Constant_8394" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5381" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5382" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5383" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5384" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5385" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5386" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5387" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853554096" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5388" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853554100" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5389" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853554096" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5390" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853554100" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5391" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5392" name="Transpose_22295" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853554104" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5393" name="Convert_91771" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5394" name="Transpose_22295/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853656504" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5395" name="Convert_91774" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5396" name="Transpose_22295/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5397" name="Transpose_22295/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853656824" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5398" name="Transpose_22295/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5399" name="Transpose_22295/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5400" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5401" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5402" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5403" name="Constant_8402" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5404" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5405" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5406" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853657464" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5407" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853657468" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5408" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853657464" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5409" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853657468" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5410" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5411" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5412" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5413" name="Transpose_22300" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853657472" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5414" name="Convert_91749" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5415" name="Transpose_22300/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853759872" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5416" name="Convert_91752" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5417" name="Transpose_22300/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5418" name="Transpose_22300/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853760192" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5419" name="Transpose_22300/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5420" name="Transpose_22300/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5421" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5422" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5423" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5424" name="Constant_8382" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5425" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5426" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5427" name="Constant_8411" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5428" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5429" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5430" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5431" name="Transpose_22303" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853760832" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5432" name="Convert_91782" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5433" name="Transpose_22303/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853863232" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5434" name="Convert_91785" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5435" name="Transpose_22303/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5436" name="Transpose_22303/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853863552" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5437" name="Transpose_22303/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5438" name="Transpose_22303/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5439" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5440" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5441" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5442" name="Range_8424" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5443" name="MVN_8425" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5444" name="Constant_23359" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853864192" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5445" name="Multiply_8426" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5446" name="Constant_23360" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="853865472" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5447" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5448" name="Transpose_22316" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="853866752" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5449" name="Convert_91793" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5450" name="Transpose_22316/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="853969152" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5451" name="Convert_91796" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5452" name="Transpose_22316/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5453" name="Transpose_22316/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="853969472" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5454" name="Transpose_22316/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5455" name="Transpose_22316/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5456" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5457" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5458" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5459" name="Constant_8435" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5460" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5461" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5462" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5463" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5464" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5465" name="Broadcast_8446" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5466" name="Constant_8451" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5467" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5468" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5469" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5470" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5471" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5472" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5473" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853970112" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5474" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853970116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5475" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853970112" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5476" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="853970116" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5477" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5478" name="Transpose_22321" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="853970120" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5479" name="Convert_91518" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5480" name="Transpose_22321/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="854215880" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5481" name="Convert_91521" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5482" name="Transpose_22321/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5483" name="Transpose_22321/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="854216200" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5484" name="Transpose_22321/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5485" name="Transpose_22321/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5486" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5487" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5488" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5489" name="Constant_8459" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5490" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5491" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5492" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="854216840" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5493" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="854216844" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5494" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="854216840" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5495" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="854216844" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5496" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5497" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5498" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5499" name="Transpose_22326" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="854216848" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5500" name="Convert_91507" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5501" name="Transpose_22326/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="854462608" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5502" name="Convert_91510" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5503" name="Transpose_22326/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5504" name="Transpose_22326/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="854462928" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5505" name="Transpose_22326/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5506" name="Transpose_22326/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5507" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5508" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5509" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5510" name="Constant_8439" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5511" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5512" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5513" name="Constant_8468" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5514" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5515" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5516" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5517" name="Transpose_22329" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="854463568" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5518" name="Convert_91804" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5519" name="Transpose_22329/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="854565968" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5520" name="Convert_91807" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5521" name="Transpose_22329/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5522" name="Transpose_22329/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="854566288" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5523" name="Transpose_22329/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5524" name="Transpose_22329/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5525" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5526" name="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5527" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5528" name="Range_8481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5529" name="MVN_8482" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5530" name="Constant_23362" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="854566928" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5531" name="Multiply_8483" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5532" name="Constant_23363" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="854568208" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5533" name="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5534" name="Transpose_22342" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="854569488" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5535" name="Convert_90858" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5536" name="Transpose_22342/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="855388688" size="2560" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5537" name="Convert_90861" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5538" name="Transpose_22342/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5539" name="Transpose_22342/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="855391248" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5540" name="Transpose_22342/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5541" name="Transpose_22342/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5542" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5543" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5544" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5545" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5546" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5547" name="Constant_8489" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="5548" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5549" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5550" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5551" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5552" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5553" name="Broadcast_8500" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5554" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5555" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5556" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5557" name="Broadcast_8550" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5558" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5559" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5560" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5561" name="Transpose_22360" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="855396368" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5562" name="Convert_91419" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5563" name="Transpose_22360/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="855805968" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5564" name="Convert_91422" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5565" name="Transpose_22360/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5566" name="Transpose_22360/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="855806288" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5567" name="Transpose_22360/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5568" name="Transpose_22360/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5569" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5570" name="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5571" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5572" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855806928" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5573" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855806932" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5574" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855806928" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5575" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855806932" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5576" name="/up_blocks.3/attentions.1/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5577" name="/up_blocks.3/attentions.1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361580" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5578" name="/up_blocks.3/attentions.1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5579" name="Constant_8610" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5580" name="/up_blocks.3/attentions.1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5581" name="Constant_1166743" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="855806936" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5582" name="Convert_1166744" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5583" name="Constant_1166745" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="855909336" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5584" name="/up_blocks.3/attentions.1/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5585" name="/up_blocks.3/attentions.1/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5586" name="Reshape_8624" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="855910616" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5587" name="/up_blocks.3/attentions.1/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5588" name="/up_blocks.3/attentions.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.1/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5589" name="/up_blocks.3/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/Concat_2_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5590" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855911896" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5591" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855911900" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5592" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855911896" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5593" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="855911900" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5594" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5595" name="Constant_1166747" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 640, 1, 1" offset="855911904" size="204800" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5596" name="Convert_1166748" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5597" name="Constant_1166749" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="856116704" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5598" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5599" name="/up_blocks.3/resnets.2/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5600" name="Reshape_8767" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="856117984" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5601" name="/up_blocks.3/resnets.2/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5602" name="/up_blocks.3/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5603" name="/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5604" name="Constant_8634" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5605" name="MVN_8635" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5606" name="Constant_25165" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="850151168" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5607" name="/up_blocks.3/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>81920</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5608" name="Constant_23366" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="856119264" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5609" name="/up_blocks.3/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5610" name="Constant_23367" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 640, 1, 1" offset="856121824" size="2560" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5611" name="/up_blocks.3/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5612" name="/up_blocks.3/resnets.2/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/resnets.2/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5613" name="/up_blocks.3/resnets.2/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="856124384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5614" name="/up_blocks.3/resnets.2/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="856124388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5615" name="/up_blocks.3/resnets.2/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="856124384" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5616" name="/up_blocks.3/resnets.2/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="856124388" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5617" name="/up_blocks.3/resnets.2/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5618" name="Constant_1166751" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 640, 3, 3" offset="856124392" size="1843200" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5619" name="Convert_1166752" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5620" name="Constant_1166753" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="857967592" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5621" name="/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5622" name="/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>640</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>640</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5623" name="Reshape_8683" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="857968872" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5624" name="/up_blocks.3/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5625" name="up_blocks.3.resnets.2.time_emb_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="857970152" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5626" name="Convert_91001" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5627" name="up_blocks.3.resnets.2.time_emb_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="858379752" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5628" name="Convert_91004" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5629" name="up_blocks.3.resnets.2.time_emb_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5630" name="up_blocks.3.resnets.2.time_emb_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="858380072" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5631" name="up_blocks.3.resnets.2.time_emb_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5632" name="up_blocks.3.resnets.2.time_emb_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5633" name="/up_blocks.3/resnets.2/time_emb_proj/Gemm/WithoutBiases" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5634" name="Constant_23368" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320" offset="858380712" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5635" name="/up_blocks.3/resnets.2/time_emb_proj/Gemm" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/time_emb_proj/Gemm_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5636" name="/up_blocks.3/resnets.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.2/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5637" name="/up_blocks.3/resnets.2/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/Unsqueeze_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5638" name="/up_blocks.3/resnets.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="3968400" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.2/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5639" name="/up_blocks.3/resnets.2/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/Unsqueeze_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5640" name="/up_blocks.3/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5641" name="/up_blocks.3/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5642" name="/up_blocks.3/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5643" name="Constant_8702" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5644" name="MVN_8703" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5645" name="Constant_25166" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5646" name="/up_blocks.3/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5647" name="Constant_23369" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="858381992" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5648" name="/up_blocks.3/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5649" name="Constant_23370" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="858383272" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5650" name="/up_blocks.3/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5651" name="/up_blocks.3/resnets.2/act_1/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/resnets.2/act_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5652" name="/up_blocks.3/resnets.2/act_1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="858384552" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5653" name="/up_blocks.3/resnets.2/act_1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="858384556" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5654" name="/up_blocks.3/resnets.2/act_1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="858384552" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5655" name="/up_blocks.3/resnets.2/act_1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="858384556" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5656" name="/up_blocks.3/resnets.2/act_1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5657" name="Constant_1166755" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 3, 3" offset="858384560" size="921600" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5658" name="Convert_1166756" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5659" name="Constant_1166757" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="859306160" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5660" name="/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5661" name="/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5662" name="Reshape_8751" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="859307440" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5663" name="/up_blocks.3/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5664" name="/up_blocks.3/resnets.2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/resnets.2/Add_1_output_0,/up_blocks.3/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5665" name="/up_blocks.3/attentions.2/norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5666" name="/up_blocks.3/attentions.2/norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5667" name="Constant_8778" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5668" name="MVN_8779" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5669" name="Constant_25167" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5670" name="/up_blocks.3/attentions.2/norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5671" name="Constant_23371" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="859308720" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5672" name="/up_blocks.3/attentions.2/norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5673" name="Constant_23372" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="859310000" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5674" name="/up_blocks.3/attentions.2/norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/norm/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5675" name="/up_blocks.3/attentions.2/norm/Add/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859311280" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5676" name="/up_blocks.3/attentions.2/norm/Add/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859311284" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5677" name="/up_blocks.3/attentions.2/norm/Add/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859311280" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5678" name="/up_blocks.3/attentions.2/norm/Add/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859311284" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5679" name="/up_blocks.3/attentions.2/norm/Add/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5680" name="Constant_1166759" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="859311288" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5681" name="Convert_1166760" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5682" name="Constant_1166761" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="859413688" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5683" name="/up_blocks.3/attentions.2/proj_in/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5684" name="/up_blocks.3/attentions.2/proj_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5685" name="Reshape_8825" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="859414968" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5686" name="/up_blocks.3/attentions.2/proj_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/proj_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5687" name="Constant_8829" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5688" name="/up_blocks.3/attentions.2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5689" name="/up_blocks.3/attentions.2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5002696" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5690" name="/up_blocks.3/attentions.2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5691" name="Range_8836" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5692" name="MVN_8837" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5693" name="Constant_23373" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859416248" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5694" name="Multiply_8838" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5695" name="Constant_23374" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859417528" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5696" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm1/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5697" name="Transpose_22405" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859418808" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5698" name="Convert_91826" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5699" name="Transpose_22405/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859521208" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5700" name="Convert_91829" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5701" name="Transpose_22405/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5702" name="Transpose_22405/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859521528" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5703" name="Transpose_22405/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5704" name="Transpose_22405/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5705" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5706" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5707" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5708" name="Constant_8847" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5709" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5710" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5711" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5712" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5713" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5714" name="Broadcast_8858" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5715" name="Constant_8863" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5716" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5717" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5718" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5719" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Cast_1_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5720" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Sqrt_1_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5721" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5722" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859522168" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5723" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859522172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5724" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859522168" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5725" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859522172" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5726" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5727" name="Transpose_22410" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859522176" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5728" name="Convert_91837" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5729" name="Transpose_22410/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859624576" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5730" name="Convert_91840" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5731" name="Transpose_22410/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5732" name="Transpose_22410/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859624896" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5733" name="Transpose_22410/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5734" name="Transpose_22410/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5735" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5736" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5737" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5738" name="Constant_8871" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5739" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5740" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5741" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859625536" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5742" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859625540" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5743" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859625536" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5744" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859625540" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5745" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5746" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5747" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5748" name="Transpose_22415" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859625544" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5749" name="Convert_91815" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5750" name="Transpose_22415/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859727944" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5751" name="Convert_91818" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5752" name="Transpose_22415/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5753" name="Transpose_22415/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859728264" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5754" name="Transpose_22415/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5755" name="Transpose_22415/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5756" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5757" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5758" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5759" name="Constant_8851" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5760" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5761" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5762" name="Constant_8880" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5763" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5764" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5765" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Cast_2_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5766" name="Transpose_22418" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859728904" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5767" name="Convert_91848" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5768" name="Transpose_22418/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859831304" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5769" name="Convert_91851" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5770" name="Transpose_22418/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5771" name="Transpose_22418/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859831624" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5772" name="Transpose_22418/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5773" name="Transpose_22418/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5774" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5775" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn1/Div_1_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5776" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5777" name="Range_8893" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5778" name="MVN_8894" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5779" name="Constant_23376" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859832264" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5780" name="Multiply_8895" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5781" name="Constant_23377" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="859833544" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5782" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm2/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5783" name="Transpose_22431" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="859834824" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5784" name="Convert_91859" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5785" name="Transpose_22431/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="859937224" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5786" name="Convert_91862" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5787" name="Transpose_22431/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5788" name="Transpose_22431/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="859937544" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5789" name="Transpose_22431/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5790" name="Transpose_22431/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5791" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_q/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5792" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5793" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5794" name="Constant_8904" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5795" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5796" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_5" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="5108712" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5797" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5798" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5799" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490624" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5800" name="Broadcast_8915" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5801" name="Constant_8920" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5802" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Slice_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5803" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Cast_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5804" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Sqrt_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5805" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Cast_1_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Div_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5806" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Sqrt_1" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Sqrt_1_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Sqrt_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5807" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5808" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859938184" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5809" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859938188" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5810" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859938184" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5811" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="859938188" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5812" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5813" name="Transpose_22436" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="859938192" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5814" name="Convert_91540" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5815" name="Transpose_22436/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="860183952" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5816" name="Convert_91543" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5817" name="Transpose_22436/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5818" name="Transpose_22436/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="860184272" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5819" name="Transpose_22436/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5820" name="Transpose_22436/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5821" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5822" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5823" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5824" name="Constant_8928" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5002664" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5825" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5826" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5827" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="860184912" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5828" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="860184916" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5829" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="860184912" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5830" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="860184916" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5831" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Mul_1/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5832" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5833" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Softmax_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5834" name="Transpose_22441" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 768" offset="860184920" size="245760" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5835" name="Convert_91529" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5836" name="Transpose_22441/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="860430680" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5837" name="Convert_91532" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5838" name="Transpose_22441/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5839" name="Transpose_22441/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="860431000" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5840" name="Transpose_22441/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5841" name="Transpose_22441/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5842" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5843" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108648" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5844" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5845" name="Constant_8908" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5846" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5847" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>77</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5848" name="Constant_8937" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5108680" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5849" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_3" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8</dim>
+					<dim>4096</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5850" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="5315452" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5851" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>8</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Cast_2_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5852" name="Transpose_22444" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 320" offset="860431640" size="102400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5853" name="Convert_91870" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5854" name="Transpose_22444/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="860534040" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5855" name="Convert_91873" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5856" name="Transpose_22444/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5857" name="Transpose_22444/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="860534360" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5858" name="Transpose_22444/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5859" name="Transpose_22444/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5860" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5861" name="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/attn2/Div_1_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_out.0/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5862" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/Add_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5863" name="Range_8950" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5864" name="MVN_8951" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5865" name="Constant_23379" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="860535000" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5866" name="Multiply_8952" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5867" name="Constant_23380" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 320" offset="860536280" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5868" name="/up_blocks.3/attentions.2/transformer_blocks.0/norm3/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/norm3/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5869" name="Transpose_22457" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 320" offset="860537560" size="819200" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5870" name="Convert_90869" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5871" name="Transpose_22457/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2560, 1" offset="861356760" size="2560" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5872" name="Convert_90872" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5873" name="Transpose_22457/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5874" name="Transpose_22457/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 1" offset="861359320" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5875" name="Transpose_22457/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5876" name="Transpose_22457/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5877" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5878" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5879" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5880" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5881" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5002720" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5882" name="Constant_8958" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1490632" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="5883" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5884" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5885" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Add_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5886" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5887" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Div_output_0,/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5888" name="Broadcast_8969" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5889" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Slice_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5890" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5891" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5892" name="Broadcast_9019" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1489968" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5893" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Slice_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5894" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5895" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_4" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/Mul_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5896" name="Transpose_22475" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1280" offset="861364440" size="409600" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5897" name="Convert_91430" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5898" name="Transpose_22475/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="320, 1" offset="861774040" size="320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5899" name="Convert_91433" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5900" name="Transpose_22475/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5901" name="Transpose_22475/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1" offset="861774360" size="640" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5902" name="Transpose_22475/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>320</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5903" name="Transpose_22475/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5904" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5905" name="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5906" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5907" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861775000" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5908" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861775004" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5909" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861775000" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5910" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861775004" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5911" name="/up_blocks.3/attentions.2/transformer_blocks.0/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5912" name="/up_blocks.3/attentions.2/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361580" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/up_blocks.3/attentions.2/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5913" name="/up_blocks.3/attentions.2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5914" name="Constant_9079" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7361612" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5915" name="/up_blocks.3/attentions.2/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5916" name="Constant_1166763" type="Const" version="opset1">
+			<data element_type="i8" shape="320, 320, 1, 1" offset="861775008" size="102400" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5917" name="Convert_1166764" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5918" name="Constant_1166765" type="Const" version="opset1">
+			<data element_type="f32" shape="320, 1, 1, 1" offset="861877408" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5919" name="/up_blocks.3/attentions.2/proj_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5920" name="/up_blocks.3/attentions.2/proj_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5921" name="Reshape_9093" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="861878688" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5922" name="/up_blocks.3/attentions.2/proj_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/proj_out/Conv_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5923" name="/up_blocks.3/attentions.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_blocks.3/attentions.2/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5924" name="/conv_norm_out/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="563208" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/conv_norm_out/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5925" name="/conv_norm_out/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv_norm_out/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5926" name="Constant_9102" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="563232" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5927" name="MVN_9103" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv_norm_out/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5928" name="Constant_25168" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7466604" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5929" name="/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>40960</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv_norm_out/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5930" name="Constant_23383" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="861879968" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5931" name="/conv_norm_out/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv_norm_out/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5932" name="Constant_23384" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 320, 1, 1" offset="861881248" size="1280" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5933" name="/conv_norm_out/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv_norm_out/Add_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5934" name="/act/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/act/Mul_output_0">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5935" name="/act/Mul/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861882528" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5936" name="/act/Mul/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861882532" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5937" name="/act/Mul/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861882528" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5938" name="/act/Mul/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="861882532" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5939" name="/act/Mul/fq_output_0" type="FakeQuantize" version="opset1">
+			<data levels="256" auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5940" name="Constant_1166767" type="Const" version="opset1">
+			<data element_type="i8" shape="4, 320, 3, 3" offset="861882536" size="11520" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5941" name="Convert_1166768" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5942" name="Constant_1166769" type="Const" version="opset1">
+			<data element_type="f32" shape="4, 1, 1, 1" offset="861894056" size="16" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5943" name="/conv_out/Conv/WithoutBiases/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5944" name="/conv_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>320</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5945" name="Reshape_9151" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 4, 1, 1" offset="861894072" size="16" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5946" name="output" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="output">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5947" name="output/sink_port_0" type="Result" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="4127" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="5151" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="5172" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="5486" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="5507" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="4818" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="4797" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="5821" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="5842" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="4483" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="4462" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="2479" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="2458" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="4148" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="2019" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1998" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1676" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="3103" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="3124" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="340" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="361" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="662" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="683" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="3438" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="3459" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1008" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1029" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1330" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1351" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="3773" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="3794" to-port="0" />
+		<edge from-layer="0" from-port="0" to-layer="1697" to-port="0" />
+		<edge from-layer="1" from-port="0" to-layer="103" to-port="0" />
+		<edge from-layer="2" from-port="0" to-layer="71" to-port="0" />
+		<edge from-layer="3" from-port="0" to-layer="5905" to-port="0" />
+		<edge from-layer="4" from-port="0" to-layer="5878" to-port="0" />
+		<edge from-layer="5" from-port="0" to-layer="5861" to-port="0" />
+		<edge from-layer="6" from-port="0" to-layer="5775" to-port="0" />
+		<edge from-layer="7" from-port="0" to-layer="5570" to-port="0" />
+		<edge from-layer="8" from-port="0" to-layer="5543" to-port="0" />
+		<edge from-layer="9" from-port="0" to-layer="5526" to-port="0" />
+		<edge from-layer="10" from-port="0" to-layer="5440" to-port="0" />
+		<edge from-layer="11" from-port="0" to-layer="5235" to-port="0" />
+		<edge from-layer="12" from-port="0" to-layer="5208" to-port="0" />
+		<edge from-layer="13" from-port="0" to-layer="5191" to-port="0" />
+		<edge from-layer="14" from-port="0" to-layer="5105" to-port="0" />
+		<edge from-layer="15" from-port="0" to-layer="4881" to-port="0" />
+		<edge from-layer="16" from-port="0" to-layer="4854" to-port="0" />
+		<edge from-layer="17" from-port="0" to-layer="4837" to-port="0" />
+		<edge from-layer="18" from-port="0" to-layer="4751" to-port="0" />
+		<edge from-layer="19" from-port="0" to-layer="4546" to-port="0" />
+		<edge from-layer="20" from-port="0" to-layer="4519" to-port="0" />
+		<edge from-layer="21" from-port="0" to-layer="4502" to-port="0" />
+		<edge from-layer="22" from-port="0" to-layer="4416" to-port="0" />
+		<edge from-layer="23" from-port="0" to-layer="4211" to-port="0" />
+		<edge from-layer="24" from-port="0" to-layer="4184" to-port="0" />
+		<edge from-layer="25" from-port="0" to-layer="4167" to-port="0" />
+		<edge from-layer="26" from-port="0" to-layer="4081" to-port="0" />
+		<edge from-layer="27" from-port="0" to-layer="3857" to-port="0" />
+		<edge from-layer="28" from-port="0" to-layer="3830" to-port="0" />
+		<edge from-layer="29" from-port="0" to-layer="3813" to-port="0" />
+		<edge from-layer="30" from-port="0" to-layer="3727" to-port="0" />
+		<edge from-layer="31" from-port="0" to-layer="3522" to-port="0" />
+		<edge from-layer="32" from-port="0" to-layer="3495" to-port="0" />
+		<edge from-layer="33" from-port="0" to-layer="3478" to-port="0" />
+		<edge from-layer="34" from-port="0" to-layer="3392" to-port="0" />
+		<edge from-layer="35" from-port="0" to-layer="3187" to-port="0" />
+		<edge from-layer="36" from-port="0" to-layer="3160" to-port="0" />
+		<edge from-layer="37" from-port="0" to-layer="3143" to-port="0" />
+		<edge from-layer="38" from-port="0" to-layer="3057" to-port="0" />
+		<edge from-layer="39" from-port="0" to-layer="2542" to-port="0" />
+		<edge from-layer="40" from-port="0" to-layer="2515" to-port="0" />
+		<edge from-layer="41" from-port="0" to-layer="2498" to-port="0" />
+		<edge from-layer="42" from-port="0" to-layer="2412" to-port="0" />
+		<edge from-layer="43" from-port="0" to-layer="2082" to-port="0" />
+		<edge from-layer="44" from-port="0" to-layer="2055" to-port="0" />
+		<edge from-layer="45" from-port="0" to-layer="2038" to-port="0" />
+		<edge from-layer="46" from-port="0" to-layer="1952" to-port="0" />
+		<edge from-layer="47" from-port="0" to-layer="1760" to-port="0" />
+		<edge from-layer="48" from-port="0" to-layer="1733" to-port="0" />
+		<edge from-layer="49" from-port="0" to-layer="1716" to-port="0" />
+		<edge from-layer="50" from-port="0" to-layer="1630" to-port="0" />
+		<edge from-layer="51" from-port="0" to-layer="1414" to-port="0" />
+		<edge from-layer="52" from-port="0" to-layer="1387" to-port="0" />
+		<edge from-layer="53" from-port="0" to-layer="1370" to-port="0" />
+		<edge from-layer="54" from-port="0" to-layer="1284" to-port="0" />
+		<edge from-layer="55" from-port="0" to-layer="1092" to-port="0" />
+		<edge from-layer="56" from-port="0" to-layer="1065" to-port="0" />
+		<edge from-layer="57" from-port="0" to-layer="1048" to-port="0" />
+		<edge from-layer="58" from-port="0" to-layer="962" to-port="0" />
+		<edge from-layer="59" from-port="0" to-layer="746" to-port="0" />
+		<edge from-layer="60" from-port="0" to-layer="719" to-port="0" />
+		<edge from-layer="61" from-port="0" to-layer="702" to-port="0" />
+		<edge from-layer="62" from-port="0" to-layer="616" to-port="0" />
+		<edge from-layer="63" from-port="0" to-layer="424" to-port="0" />
+		<edge from-layer="64" from-port="0" to-layer="397" to-port="0" />
+		<edge from-layer="65" from-port="0" to-layer="380" to-port="0" />
+		<edge from-layer="66" from-port="0" to-layer="294" to-port="0" />
+		<edge from-layer="67" from-port="0" to-layer="71" to-port="1" />
+		<edge from-layer="68" from-port="0" to-layer="71" to-port="2" />
+		<edge from-layer="69" from-port="0" to-layer="71" to-port="3" />
+		<edge from-layer="70" from-port="0" to-layer="71" to-port="4" />
+		<edge from-layer="71" from-port="5" to-layer="76" to-port="0" />
+		<edge from-layer="72" from-port="0" to-layer="73" to-port="0" />
+		<edge from-layer="73" from-port="1" to-layer="75" to-port="0" />
+		<edge from-layer="74" from-port="0" to-layer="75" to-port="1" />
+		<edge from-layer="75" from-port="2" to-layer="76" to-port="1" />
+		<edge from-layer="76" from-port="2" to-layer="78" to-port="0" />
+		<edge from-layer="77" from-port="0" to-layer="78" to-port="1" />
+		<edge from-layer="78" from-port="2" to-layer="80" to-port="0" />
+		<edge from-layer="78" from-port="2" to-layer="5589" to-port="1" />
+		<edge from-layer="78" from-port="2" to-layer="83" to-port="0" />
+		<edge from-layer="78" from-port="2" to-layer="183" to-port="0" />
+		<edge from-layer="79" from-port="0" to-layer="80" to-port="1" />
+		<edge from-layer="80" from-port="2" to-layer="82" to-port="0" />
+		<edge from-layer="81" from-port="0" to-layer="82" to-port="1" />
+		<edge from-layer="82" from-port="2" to-layer="84" to-port="0" />
+		<edge from-layer="83" from-port="1" to-layer="84" to-port="1" />
+		<edge from-layer="84" from-port="2" to-layer="86" to-port="0" />
+		<edge from-layer="85" from-port="0" to-layer="86" to-port="1" />
+		<edge from-layer="86" from-port="2" to-layer="88" to-port="0" />
+		<edge from-layer="87" from-port="0" to-layer="88" to-port="1" />
+		<edge from-layer="88" from-port="2" to-layer="89" to-port="0" />
+		<edge from-layer="89" from-port="1" to-layer="94" to-port="0" />
+		<edge from-layer="90" from-port="0" to-layer="94" to-port="1" />
+		<edge from-layer="91" from-port="0" to-layer="94" to-port="2" />
+		<edge from-layer="92" from-port="0" to-layer="94" to-port="3" />
+		<edge from-layer="93" from-port="0" to-layer="94" to-port="4" />
+		<edge from-layer="94" from-port="5" to-layer="99" to-port="0" />
+		<edge from-layer="95" from-port="0" to-layer="96" to-port="0" />
+		<edge from-layer="96" from-port="1" to-layer="98" to-port="0" />
+		<edge from-layer="97" from-port="0" to-layer="98" to-port="1" />
+		<edge from-layer="98" from-port="2" to-layer="99" to-port="1" />
+		<edge from-layer="99" from-port="2" to-layer="101" to-port="0" />
+		<edge from-layer="100" from-port="0" to-layer="101" to-port="1" />
+		<edge from-layer="101" from-port="2" to-layer="159" to-port="0" />
+		<edge from-layer="102" from-port="0" to-layer="103" to-port="1" />
+		<edge from-layer="103" from-port="2" to-layer="105" to-port="0" />
+		<edge from-layer="104" from-port="0" to-layer="105" to-port="1" />
+		<edge from-layer="105" from-port="2" to-layer="106" to-port="0" />
+		<edge from-layer="105" from-port="2" to-layer="107" to-port="0" />
+		<edge from-layer="106" from-port="1" to-layer="108" to-port="0" />
+		<edge from-layer="107" from-port="1" to-layer="108" to-port="1" />
+		<edge from-layer="108" from-port="2" to-layer="113" to-port="0" />
+		<edge from-layer="108" from-port="2" to-layer="118" to-port="0" />
+		<edge from-layer="109" from-port="0" to-layer="113" to-port="1" />
+		<edge from-layer="110" from-port="0" to-layer="113" to-port="2" />
+		<edge from-layer="111" from-port="0" to-layer="113" to-port="3" />
+		<edge from-layer="112" from-port="0" to-layer="113" to-port="4" />
+		<edge from-layer="113" from-port="5" to-layer="119" to-port="0" />
+		<edge from-layer="114" from-port="0" to-layer="118" to-port="1" />
+		<edge from-layer="115" from-port="0" to-layer="118" to-port="2" />
+		<edge from-layer="116" from-port="0" to-layer="118" to-port="3" />
+		<edge from-layer="117" from-port="0" to-layer="118" to-port="4" />
+		<edge from-layer="118" from-port="5" to-layer="119" to-port="1" />
+		<edge from-layer="119" from-port="2" to-layer="128" to-port="0" />
+		<edge from-layer="120" from-port="0" to-layer="121" to-port="0" />
+		<edge from-layer="121" from-port="1" to-layer="124" to-port="0" />
+		<edge from-layer="122" from-port="0" to-layer="123" to-port="0" />
+		<edge from-layer="123" from-port="1" to-layer="124" to-port="1" />
+		<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
+		<edge from-layer="125" from-port="0" to-layer="126" to-port="1" />
+		<edge from-layer="126" from-port="2" to-layer="127" to-port="0" />
+		<edge from-layer="127" from-port="1" to-layer="128" to-port="1" />
+		<edge from-layer="128" from-port="2" to-layer="130" to-port="0" />
+		<edge from-layer="129" from-port="0" to-layer="130" to-port="1" />
+		<edge from-layer="130" from-port="2" to-layer="131" to-port="0" />
+		<edge from-layer="131" from-port="1" to-layer="140" to-port="0" />
+		<edge from-layer="132" from-port="0" to-layer="133" to-port="0" />
+		<edge from-layer="133" from-port="1" to-layer="136" to-port="0" />
+		<edge from-layer="134" from-port="0" to-layer="135" to-port="0" />
+		<edge from-layer="135" from-port="1" to-layer="136" to-port="1" />
+		<edge from-layer="136" from-port="2" to-layer="138" to-port="0" />
+		<edge from-layer="137" from-port="0" to-layer="138" to-port="1" />
+		<edge from-layer="138" from-port="2" to-layer="139" to-port="0" />
+		<edge from-layer="139" from-port="1" to-layer="140" to-port="1" />
+		<edge from-layer="140" from-port="2" to-layer="142" to-port="0" />
+		<edge from-layer="141" from-port="0" to-layer="142" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="143" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="4274" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="474" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="152" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="820" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="1142" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="1488" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="1810" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2144" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2207" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="3585" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="4963" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2270" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="5298" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="5633" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2915" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2820" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="4609" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2744" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="3939" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2668" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="2592" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="3250" to-port="0" />
+		<edge from-layer="144" from-port="0" to-layer="145" to-port="0" />
+		<edge from-layer="145" from-port="1" to-layer="148" to-port="0" />
+		<edge from-layer="146" from-port="0" to-layer="147" to-port="0" />
+		<edge from-layer="147" from-port="1" to-layer="148" to-port="1" />
+		<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
+		<edge from-layer="149" from-port="0" to-layer="150" to-port="1" />
+		<edge from-layer="150" from-port="2" to-layer="151" to-port="0" />
+		<edge from-layer="151" from-port="1" to-layer="152" to-port="1" />
+		<edge from-layer="152" from-port="2" to-layer="154" to-port="0" />
+		<edge from-layer="153" from-port="0" to-layer="154" to-port="1" />
+		<edge from-layer="154" from-port="2" to-layer="156" to-port="0" />
+		<edge from-layer="155" from-port="0" to-layer="156" to-port="1" />
+		<edge from-layer="156" from-port="2" to-layer="158" to-port="0" />
+		<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
+		<edge from-layer="158" from-port="2" to-layer="159" to-port="1" />
+		<edge from-layer="159" from-port="2" to-layer="164" to-port="0" />
+		<edge from-layer="159" from-port="2" to-layer="161" to-port="0" />
+		<edge from-layer="160" from-port="0" to-layer="161" to-port="1" />
+		<edge from-layer="161" from-port="2" to-layer="163" to-port="0" />
+		<edge from-layer="162" from-port="0" to-layer="163" to-port="1" />
+		<edge from-layer="163" from-port="2" to-layer="165" to-port="0" />
+		<edge from-layer="164" from-port="1" to-layer="165" to-port="1" />
+		<edge from-layer="165" from-port="2" to-layer="167" to-port="0" />
+		<edge from-layer="166" from-port="0" to-layer="167" to-port="1" />
+		<edge from-layer="167" from-port="2" to-layer="169" to-port="0" />
+		<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
+		<edge from-layer="169" from-port="2" to-layer="170" to-port="0" />
+		<edge from-layer="170" from-port="1" to-layer="175" to-port="0" />
+		<edge from-layer="171" from-port="0" to-layer="175" to-port="1" />
+		<edge from-layer="172" from-port="0" to-layer="175" to-port="2" />
+		<edge from-layer="173" from-port="0" to-layer="175" to-port="3" />
+		<edge from-layer="174" from-port="0" to-layer="175" to-port="4" />
+		<edge from-layer="175" from-port="5" to-layer="180" to-port="0" />
+		<edge from-layer="176" from-port="0" to-layer="177" to-port="0" />
+		<edge from-layer="177" from-port="1" to-layer="179" to-port="0" />
+		<edge from-layer="178" from-port="0" to-layer="179" to-port="1" />
+		<edge from-layer="179" from-port="2" to-layer="180" to-port="1" />
+		<edge from-layer="180" from-port="2" to-layer="182" to-port="0" />
+		<edge from-layer="181" from-port="0" to-layer="182" to-port="1" />
+		<edge from-layer="182" from-port="2" to-layer="183" to-port="1" />
+		<edge from-layer="183" from-port="2" to-layer="185" to-port="0" />
+		<edge from-layer="183" from-port="2" to-layer="188" to-port="0" />
+		<edge from-layer="183" from-port="2" to-layer="442" to-port="1" />
+		<edge from-layer="184" from-port="0" to-layer="185" to-port="1" />
+		<edge from-layer="185" from-port="2" to-layer="187" to-port="0" />
+		<edge from-layer="186" from-port="0" to-layer="187" to-port="1" />
+		<edge from-layer="187" from-port="2" to-layer="189" to-port="0" />
+		<edge from-layer="188" from-port="1" to-layer="189" to-port="1" />
+		<edge from-layer="189" from-port="2" to-layer="191" to-port="0" />
+		<edge from-layer="190" from-port="0" to-layer="191" to-port="1" />
+		<edge from-layer="191" from-port="2" to-layer="193" to-port="0" />
+		<edge from-layer="192" from-port="0" to-layer="193" to-port="1" />
+		<edge from-layer="193" from-port="2" to-layer="198" to-port="0" />
+		<edge from-layer="194" from-port="0" to-layer="198" to-port="1" />
+		<edge from-layer="195" from-port="0" to-layer="198" to-port="2" />
+		<edge from-layer="196" from-port="0" to-layer="198" to-port="3" />
+		<edge from-layer="197" from-port="0" to-layer="198" to-port="4" />
+		<edge from-layer="198" from-port="5" to-layer="203" to-port="0" />
+		<edge from-layer="199" from-port="0" to-layer="200" to-port="0" />
+		<edge from-layer="200" from-port="1" to-layer="202" to-port="0" />
+		<edge from-layer="201" from-port="0" to-layer="202" to-port="1" />
+		<edge from-layer="202" from-port="2" to-layer="203" to-port="1" />
+		<edge from-layer="203" from-port="2" to-layer="205" to-port="0" />
+		<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
+		<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
+		<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
+		<edge from-layer="207" from-port="2" to-layer="209" to-port="0" />
+		<edge from-layer="208" from-port="0" to-layer="209" to-port="1" />
+		<edge from-layer="209" from-port="2" to-layer="211" to-port="0" />
+		<edge from-layer="209" from-port="2" to-layer="295" to-port="1" />
+		<edge from-layer="210" from-port="0" to-layer="211" to-port="1" />
+		<edge from-layer="211" from-port="2" to-layer="213" to-port="0" />
+		<edge from-layer="212" from-port="0" to-layer="213" to-port="1" />
+		<edge from-layer="213" from-port="2" to-layer="215" to-port="0" />
+		<edge from-layer="214" from-port="0" to-layer="215" to-port="1" />
+		<edge from-layer="215" from-port="2" to-layer="275" to-port="0" />
+		<edge from-layer="215" from-port="2" to-layer="254" to-port="0" />
+		<edge from-layer="215" from-port="2" to-layer="224" to-port="0" />
+		<edge from-layer="216" from-port="0" to-layer="217" to-port="0" />
+		<edge from-layer="217" from-port="1" to-layer="220" to-port="0" />
+		<edge from-layer="218" from-port="0" to-layer="219" to-port="0" />
+		<edge from-layer="219" from-port="1" to-layer="220" to-port="1" />
+		<edge from-layer="220" from-port="2" to-layer="222" to-port="0" />
+		<edge from-layer="221" from-port="0" to-layer="222" to-port="1" />
+		<edge from-layer="222" from-port="2" to-layer="223" to-port="0" />
+		<edge from-layer="223" from-port="1" to-layer="224" to-port="1" />
+		<edge from-layer="224" from-port="2" to-layer="226" to-port="0" />
+		<edge from-layer="225" from-port="0" to-layer="226" to-port="1" />
+		<edge from-layer="226" from-port="2" to-layer="228" to-port="0" />
+		<edge from-layer="227" from-port="0" to-layer="228" to-port="1" />
+		<edge from-layer="228" from-port="2" to-layer="240" to-port="0" />
+		<edge from-layer="228" from-port="2" to-layer="230" to-port="0" />
+		<edge from-layer="229" from-port="0" to-layer="238" to-port="0" />
+		<edge from-layer="230" from-port="1" to-layer="235" to-port="0" />
+		<edge from-layer="231" from-port="0" to-layer="235" to-port="1" />
+		<edge from-layer="232" from-port="0" to-layer="235" to-port="2" />
+		<edge from-layer="233" from-port="0" to-layer="235" to-port="3" />
+		<edge from-layer="234" from-port="0" to-layer="235" to-port="4" />
+		<edge from-layer="235" from-port="5" to-layer="236" to-port="0" />
+		<edge from-layer="236" from-port="1" to-layer="237" to-port="0" />
+		<edge from-layer="237" from-port="1" to-layer="238" to-port="1" />
+		<edge from-layer="238" from-port="2" to-layer="239" to-port="0" />
+		<edge from-layer="239" from-port="1" to-layer="240" to-port="1" />
+		<edge from-layer="239" from-port="1" to-layer="259" to-port="1" />
+		<edge from-layer="240" from-port="2" to-layer="245" to-port="0" />
+		<edge from-layer="241" from-port="0" to-layer="245" to-port="1" />
+		<edge from-layer="242" from-port="0" to-layer="245" to-port="2" />
+		<edge from-layer="243" from-port="0" to-layer="245" to-port="3" />
+		<edge from-layer="244" from-port="0" to-layer="245" to-port="4" />
+		<edge from-layer="245" from-port="5" to-layer="265" to-port="0" />
+		<edge from-layer="246" from-port="0" to-layer="247" to-port="0" />
+		<edge from-layer="247" from-port="1" to-layer="250" to-port="0" />
+		<edge from-layer="248" from-port="0" to-layer="249" to-port="0" />
+		<edge from-layer="249" from-port="1" to-layer="250" to-port="1" />
+		<edge from-layer="250" from-port="2" to-layer="252" to-port="0" />
+		<edge from-layer="251" from-port="0" to-layer="252" to-port="1" />
+		<edge from-layer="252" from-port="2" to-layer="253" to-port="0" />
+		<edge from-layer="253" from-port="1" to-layer="254" to-port="1" />
+		<edge from-layer="254" from-port="2" to-layer="256" to-port="0" />
+		<edge from-layer="255" from-port="0" to-layer="256" to-port="1" />
+		<edge from-layer="256" from-port="2" to-layer="258" to-port="0" />
+		<edge from-layer="257" from-port="0" to-layer="258" to-port="1" />
+		<edge from-layer="258" from-port="2" to-layer="259" to-port="0" />
+		<edge from-layer="259" from-port="2" to-layer="264" to-port="0" />
+		<edge from-layer="260" from-port="0" to-layer="264" to-port="1" />
+		<edge from-layer="261" from-port="0" to-layer="264" to-port="2" />
+		<edge from-layer="262" from-port="0" to-layer="264" to-port="3" />
+		<edge from-layer="263" from-port="0" to-layer="264" to-port="4" />
+		<edge from-layer="264" from-port="5" to-layer="265" to-port="1" />
+		<edge from-layer="265" from-port="2" to-layer="266" to-port="0" />
+		<edge from-layer="266" from-port="1" to-layer="280" to-port="0" />
+		<edge from-layer="267" from-port="0" to-layer="268" to-port="0" />
+		<edge from-layer="268" from-port="1" to-layer="271" to-port="0" />
+		<edge from-layer="269" from-port="0" to-layer="270" to-port="0" />
+		<edge from-layer="270" from-port="1" to-layer="271" to-port="1" />
+		<edge from-layer="271" from-port="2" to-layer="273" to-port="0" />
+		<edge from-layer="272" from-port="0" to-layer="273" to-port="1" />
+		<edge from-layer="273" from-port="2" to-layer="274" to-port="0" />
+		<edge from-layer="274" from-port="1" to-layer="275" to-port="1" />
+		<edge from-layer="275" from-port="2" to-layer="277" to-port="0" />
+		<edge from-layer="276" from-port="0" to-layer="277" to-port="1" />
+		<edge from-layer="277" from-port="2" to-layer="279" to-port="0" />
+		<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
+		<edge from-layer="279" from-port="2" to-layer="280" to-port="1" />
+		<edge from-layer="280" from-port="2" to-layer="282" to-port="0" />
+		<edge from-layer="281" from-port="0" to-layer="282" to-port="1" />
+		<edge from-layer="282" from-port="2" to-layer="284" to-port="0" />
+		<edge from-layer="283" from-port="0" to-layer="284" to-port="1" />
+		<edge from-layer="284" from-port="2" to-layer="293" to-port="0" />
+		<edge from-layer="285" from-port="0" to-layer="286" to-port="0" />
+		<edge from-layer="286" from-port="1" to-layer="289" to-port="0" />
+		<edge from-layer="287" from-port="0" to-layer="288" to-port="0" />
+		<edge from-layer="288" from-port="1" to-layer="289" to-port="1" />
+		<edge from-layer="289" from-port="2" to-layer="291" to-port="0" />
+		<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
+		<edge from-layer="291" from-port="2" to-layer="292" to-port="0" />
+		<edge from-layer="292" from-port="1" to-layer="293" to-port="1" />
+		<edge from-layer="293" from-port="2" to-layer="294" to-port="1" />
+		<edge from-layer="294" from-port="2" to-layer="295" to-port="0" />
+		<edge from-layer="295" from-port="2" to-layer="297" to-port="0" />
+		<edge from-layer="295" from-port="2" to-layer="381" to-port="1" />
+		<edge from-layer="296" from-port="0" to-layer="297" to-port="1" />
+		<edge from-layer="297" from-port="2" to-layer="299" to-port="0" />
+		<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
+		<edge from-layer="299" from-port="2" to-layer="301" to-port="0" />
+		<edge from-layer="300" from-port="0" to-layer="301" to-port="1" />
+		<edge from-layer="301" from-port="2" to-layer="310" to-port="0" />
+		<edge from-layer="302" from-port="0" to-layer="303" to-port="0" />
+		<edge from-layer="303" from-port="1" to-layer="306" to-port="0" />
+		<edge from-layer="304" from-port="0" to-layer="305" to-port="0" />
+		<edge from-layer="305" from-port="1" to-layer="306" to-port="1" />
+		<edge from-layer="306" from-port="2" to-layer="308" to-port="0" />
+		<edge from-layer="307" from-port="0" to-layer="308" to-port="1" />
+		<edge from-layer="308" from-port="2" to-layer="309" to-port="0" />
+		<edge from-layer="309" from-port="1" to-layer="310" to-port="1" />
+		<edge from-layer="310" from-port="2" to-layer="312" to-port="0" />
+		<edge from-layer="311" from-port="0" to-layer="312" to-port="1" />
+		<edge from-layer="312" from-port="2" to-layer="314" to-port="0" />
+		<edge from-layer="313" from-port="0" to-layer="314" to-port="1" />
+		<edge from-layer="314" from-port="2" to-layer="316" to-port="0" />
+		<edge from-layer="314" from-port="2" to-layer="326" to-port="0" />
+		<edge from-layer="315" from-port="0" to-layer="324" to-port="0" />
+		<edge from-layer="316" from-port="1" to-layer="321" to-port="0" />
+		<edge from-layer="317" from-port="0" to-layer="321" to-port="1" />
+		<edge from-layer="318" from-port="0" to-layer="321" to-port="2" />
+		<edge from-layer="319" from-port="0" to-layer="321" to-port="3" />
+		<edge from-layer="320" from-port="0" to-layer="321" to-port="4" />
+		<edge from-layer="321" from-port="5" to-layer="322" to-port="0" />
+		<edge from-layer="322" from-port="1" to-layer="323" to-port="0" />
+		<edge from-layer="323" from-port="1" to-layer="324" to-port="1" />
+		<edge from-layer="324" from-port="2" to-layer="325" to-port="0" />
+		<edge from-layer="325" from-port="1" to-layer="345" to-port="1" />
+		<edge from-layer="325" from-port="1" to-layer="326" to-port="1" />
+		<edge from-layer="326" from-port="2" to-layer="331" to-port="0" />
+		<edge from-layer="327" from-port="0" to-layer="331" to-port="1" />
+		<edge from-layer="328" from-port="0" to-layer="331" to-port="2" />
+		<edge from-layer="329" from-port="0" to-layer="331" to-port="3" />
+		<edge from-layer="330" from-port="0" to-layer="331" to-port="4" />
+		<edge from-layer="331" from-port="5" to-layer="351" to-port="0" />
+		<edge from-layer="332" from-port="0" to-layer="333" to-port="0" />
+		<edge from-layer="333" from-port="1" to-layer="336" to-port="0" />
+		<edge from-layer="334" from-port="0" to-layer="335" to-port="0" />
+		<edge from-layer="335" from-port="1" to-layer="336" to-port="1" />
+		<edge from-layer="336" from-port="2" to-layer="338" to-port="0" />
+		<edge from-layer="337" from-port="0" to-layer="338" to-port="1" />
+		<edge from-layer="338" from-port="2" to-layer="339" to-port="0" />
+		<edge from-layer="339" from-port="1" to-layer="340" to-port="1" />
+		<edge from-layer="340" from-port="2" to-layer="342" to-port="0" />
+		<edge from-layer="341" from-port="0" to-layer="342" to-port="1" />
+		<edge from-layer="342" from-port="2" to-layer="344" to-port="0" />
+		<edge from-layer="343" from-port="0" to-layer="344" to-port="1" />
+		<edge from-layer="344" from-port="2" to-layer="345" to-port="0" />
+		<edge from-layer="345" from-port="2" to-layer="350" to-port="0" />
+		<edge from-layer="346" from-port="0" to-layer="350" to-port="1" />
+		<edge from-layer="347" from-port="0" to-layer="350" to-port="2" />
+		<edge from-layer="348" from-port="0" to-layer="350" to-port="3" />
+		<edge from-layer="349" from-port="0" to-layer="350" to-port="4" />
+		<edge from-layer="350" from-port="5" to-layer="351" to-port="1" />
+		<edge from-layer="351" from-port="2" to-layer="352" to-port="0" />
+		<edge from-layer="352" from-port="1" to-layer="366" to-port="0" />
+		<edge from-layer="353" from-port="0" to-layer="354" to-port="0" />
+		<edge from-layer="354" from-port="1" to-layer="357" to-port="0" />
+		<edge from-layer="355" from-port="0" to-layer="356" to-port="0" />
+		<edge from-layer="356" from-port="1" to-layer="357" to-port="1" />
+		<edge from-layer="357" from-port="2" to-layer="359" to-port="0" />
+		<edge from-layer="358" from-port="0" to-layer="359" to-port="1" />
+		<edge from-layer="359" from-port="2" to-layer="360" to-port="0" />
+		<edge from-layer="360" from-port="1" to-layer="361" to-port="1" />
+		<edge from-layer="361" from-port="2" to-layer="363" to-port="0" />
+		<edge from-layer="362" from-port="0" to-layer="363" to-port="1" />
+		<edge from-layer="363" from-port="2" to-layer="365" to-port="0" />
+		<edge from-layer="364" from-port="0" to-layer="365" to-port="1" />
+		<edge from-layer="365" from-port="2" to-layer="366" to-port="1" />
+		<edge from-layer="366" from-port="2" to-layer="368" to-port="0" />
+		<edge from-layer="367" from-port="0" to-layer="368" to-port="1" />
+		<edge from-layer="368" from-port="2" to-layer="370" to-port="0" />
+		<edge from-layer="369" from-port="0" to-layer="370" to-port="1" />
+		<edge from-layer="370" from-port="2" to-layer="379" to-port="0" />
+		<edge from-layer="371" from-port="0" to-layer="372" to-port="0" />
+		<edge from-layer="372" from-port="1" to-layer="375" to-port="0" />
+		<edge from-layer="373" from-port="0" to-layer="374" to-port="0" />
+		<edge from-layer="374" from-port="1" to-layer="375" to-port="1" />
+		<edge from-layer="375" from-port="2" to-layer="377" to-port="0" />
+		<edge from-layer="376" from-port="0" to-layer="377" to-port="1" />
+		<edge from-layer="377" from-port="2" to-layer="378" to-port="0" />
+		<edge from-layer="378" from-port="1" to-layer="379" to-port="1" />
+		<edge from-layer="379" from-port="2" to-layer="380" to-port="1" />
+		<edge from-layer="380" from-port="2" to-layer="381" to-port="0" />
+		<edge from-layer="381" from-port="2" to-layer="383" to-port="0" />
+		<edge from-layer="381" from-port="2" to-layer="425" to-port="1" />
+		<edge from-layer="382" from-port="0" to-layer="383" to-port="1" />
+		<edge from-layer="383" from-port="2" to-layer="385" to-port="0" />
+		<edge from-layer="384" from-port="0" to-layer="385" to-port="1" />
+		<edge from-layer="385" from-port="2" to-layer="387" to-port="0" />
+		<edge from-layer="386" from-port="0" to-layer="387" to-port="1" />
+		<edge from-layer="387" from-port="2" to-layer="396" to-port="0" />
+		<edge from-layer="388" from-port="0" to-layer="389" to-port="0" />
+		<edge from-layer="389" from-port="1" to-layer="392" to-port="0" />
+		<edge from-layer="390" from-port="0" to-layer="391" to-port="0" />
+		<edge from-layer="391" from-port="1" to-layer="392" to-port="1" />
+		<edge from-layer="392" from-port="2" to-layer="394" to-port="0" />
+		<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
+		<edge from-layer="394" from-port="2" to-layer="395" to-port="0" />
+		<edge from-layer="395" from-port="1" to-layer="396" to-port="1" />
+		<edge from-layer="396" from-port="2" to-layer="397" to-port="1" />
+		<edge from-layer="397" from-port="2" to-layer="399" to-port="0" />
+		<edge from-layer="397" from-port="2" to-layer="412" to-port="0" />
+		<edge from-layer="397" from-port="2" to-layer="408" to-port="0" />
+		<edge from-layer="398" from-port="0" to-layer="408" to-port="1" />
+		<edge from-layer="399" from-port="1" to-layer="402" to-port="0" />
+		<edge from-layer="400" from-port="0" to-layer="402" to-port="1" />
+		<edge from-layer="400" from-port="0" to-layer="412" to-port="4" />
+		<edge from-layer="400" from-port="0" to-layer="408" to-port="4" />
+		<edge from-layer="401" from-port="0" to-layer="402" to-port="2" />
+		<edge from-layer="402" from-port="3" to-layer="404" to-port="0" />
+		<edge from-layer="403" from-port="0" to-layer="404" to-port="1" />
+		<edge from-layer="404" from-port="2" to-layer="406" to-port="0" />
+		<edge from-layer="405" from-port="0" to-layer="406" to-port="1" />
+		<edge from-layer="406" from-port="2" to-layer="408" to-port="2" />
+		<edge from-layer="406" from-port="2" to-layer="410" to-port="0" />
+		<edge from-layer="406" from-port="2" to-layer="412" to-port="1" />
+		<edge from-layer="407" from-port="0" to-layer="408" to-port="3" />
+		<edge from-layer="408" from-port="5" to-layer="414" to-port="0" />
+		<edge from-layer="409" from-port="0" to-layer="410" to-port="1" />
+		<edge from-layer="410" from-port="2" to-layer="412" to-port="2" />
+		<edge from-layer="411" from-port="0" to-layer="412" to-port="3" />
+		<edge from-layer="412" from-port="5" to-layer="413" to-port="0" />
+		<edge from-layer="413" from-port="1" to-layer="414" to-port="1" />
+		<edge from-layer="414" from-port="2" to-layer="423" to-port="0" />
+		<edge from-layer="415" from-port="0" to-layer="416" to-port="0" />
+		<edge from-layer="416" from-port="1" to-layer="419" to-port="0" />
+		<edge from-layer="417" from-port="0" to-layer="418" to-port="0" />
+		<edge from-layer="418" from-port="1" to-layer="419" to-port="1" />
+		<edge from-layer="419" from-port="2" to-layer="421" to-port="0" />
+		<edge from-layer="420" from-port="0" to-layer="421" to-port="1" />
+		<edge from-layer="421" from-port="2" to-layer="422" to-port="0" />
+		<edge from-layer="422" from-port="1" to-layer="423" to-port="1" />
+		<edge from-layer="423" from-port="2" to-layer="424" to-port="1" />
+		<edge from-layer="424" from-port="2" to-layer="425" to-port="0" />
+		<edge from-layer="425" from-port="2" to-layer="430" to-port="0" />
+		<edge from-layer="426" from-port="0" to-layer="430" to-port="1" />
+		<edge from-layer="427" from-port="0" to-layer="430" to-port="2" />
+		<edge from-layer="428" from-port="0" to-layer="430" to-port="3" />
+		<edge from-layer="429" from-port="0" to-layer="430" to-port="4" />
+		<edge from-layer="430" from-port="5" to-layer="432" to-port="0" />
+		<edge from-layer="431" from-port="0" to-layer="432" to-port="1" />
+		<edge from-layer="432" from-port="2" to-layer="434" to-port="0" />
+		<edge from-layer="433" from-port="0" to-layer="434" to-port="1" />
+		<edge from-layer="434" from-port="2" to-layer="439" to-port="0" />
+		<edge from-layer="435" from-port="0" to-layer="436" to-port="0" />
+		<edge from-layer="436" from-port="1" to-layer="438" to-port="0" />
+		<edge from-layer="437" from-port="0" to-layer="438" to-port="1" />
+		<edge from-layer="438" from-port="2" to-layer="439" to-port="1" />
+		<edge from-layer="439" from-port="2" to-layer="441" to-port="0" />
+		<edge from-layer="440" from-port="0" to-layer="441" to-port="1" />
+		<edge from-layer="441" from-port="2" to-layer="442" to-port="0" />
+		<edge from-layer="442" from-port="2" to-layer="5254" to-port="1" />
+		<edge from-layer="442" from-port="2" to-layer="444" to-port="0" />
+		<edge from-layer="442" from-port="2" to-layer="505" to-port="0" />
+		<edge from-layer="443" from-port="0" to-layer="444" to-port="1" />
+		<edge from-layer="444" from-port="2" to-layer="446" to-port="0" />
+		<edge from-layer="445" from-port="0" to-layer="446" to-port="1" />
+		<edge from-layer="446" from-port="2" to-layer="448" to-port="0" />
+		<edge from-layer="447" from-port="0" to-layer="448" to-port="1" />
+		<edge from-layer="448" from-port="2" to-layer="450" to-port="0" />
+		<edge from-layer="449" from-port="0" to-layer="450" to-port="1" />
+		<edge from-layer="450" from-port="2" to-layer="452" to-port="0" />
+		<edge from-layer="451" from-port="0" to-layer="452" to-port="1" />
+		<edge from-layer="452" from-port="2" to-layer="453" to-port="0" />
+		<edge from-layer="453" from-port="1" to-layer="458" to-port="0" />
+		<edge from-layer="454" from-port="0" to-layer="458" to-port="1" />
+		<edge from-layer="455" from-port="0" to-layer="458" to-port="2" />
+		<edge from-layer="456" from-port="0" to-layer="458" to-port="3" />
+		<edge from-layer="457" from-port="0" to-layer="458" to-port="4" />
+		<edge from-layer="458" from-port="5" to-layer="463" to-port="0" />
+		<edge from-layer="459" from-port="0" to-layer="460" to-port="0" />
+		<edge from-layer="460" from-port="1" to-layer="462" to-port="0" />
+		<edge from-layer="461" from-port="0" to-layer="462" to-port="1" />
+		<edge from-layer="462" from-port="2" to-layer="463" to-port="1" />
+		<edge from-layer="463" from-port="2" to-layer="465" to-port="0" />
+		<edge from-layer="464" from-port="0" to-layer="465" to-port="1" />
+		<edge from-layer="465" from-port="2" to-layer="481" to-port="0" />
+		<edge from-layer="466" from-port="0" to-layer="467" to-port="0" />
+		<edge from-layer="467" from-port="1" to-layer="470" to-port="0" />
+		<edge from-layer="468" from-port="0" to-layer="469" to-port="0" />
+		<edge from-layer="469" from-port="1" to-layer="470" to-port="1" />
+		<edge from-layer="470" from-port="2" to-layer="472" to-port="0" />
+		<edge from-layer="471" from-port="0" to-layer="472" to-port="1" />
+		<edge from-layer="472" from-port="2" to-layer="473" to-port="0" />
+		<edge from-layer="473" from-port="1" to-layer="474" to-port="1" />
+		<edge from-layer="474" from-port="2" to-layer="476" to-port="0" />
+		<edge from-layer="475" from-port="0" to-layer="476" to-port="1" />
+		<edge from-layer="476" from-port="2" to-layer="478" to-port="0" />
+		<edge from-layer="477" from-port="0" to-layer="478" to-port="1" />
+		<edge from-layer="478" from-port="2" to-layer="480" to-port="0" />
+		<edge from-layer="479" from-port="0" to-layer="480" to-port="1" />
+		<edge from-layer="480" from-port="2" to-layer="481" to-port="1" />
+		<edge from-layer="481" from-port="2" to-layer="483" to-port="0" />
+		<edge from-layer="482" from-port="0" to-layer="483" to-port="1" />
+		<edge from-layer="483" from-port="2" to-layer="485" to-port="0" />
+		<edge from-layer="484" from-port="0" to-layer="485" to-port="1" />
+		<edge from-layer="485" from-port="2" to-layer="487" to-port="0" />
+		<edge from-layer="486" from-port="0" to-layer="487" to-port="1" />
+		<edge from-layer="487" from-port="2" to-layer="489" to-port="0" />
+		<edge from-layer="488" from-port="0" to-layer="489" to-port="1" />
+		<edge from-layer="489" from-port="2" to-layer="491" to-port="0" />
+		<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
+		<edge from-layer="491" from-port="2" to-layer="492" to-port="0" />
+		<edge from-layer="492" from-port="1" to-layer="497" to-port="0" />
+		<edge from-layer="493" from-port="0" to-layer="497" to-port="1" />
+		<edge from-layer="494" from-port="0" to-layer="497" to-port="2" />
+		<edge from-layer="495" from-port="0" to-layer="497" to-port="3" />
+		<edge from-layer="496" from-port="0" to-layer="497" to-port="4" />
+		<edge from-layer="497" from-port="5" to-layer="502" to-port="0" />
+		<edge from-layer="498" from-port="0" to-layer="499" to-port="0" />
+		<edge from-layer="499" from-port="1" to-layer="501" to-port="0" />
+		<edge from-layer="500" from-port="0" to-layer="501" to-port="1" />
+		<edge from-layer="501" from-port="2" to-layer="502" to-port="1" />
+		<edge from-layer="502" from-port="2" to-layer="504" to-port="0" />
+		<edge from-layer="503" from-port="0" to-layer="504" to-port="1" />
+		<edge from-layer="504" from-port="2" to-layer="505" to-port="1" />
+		<edge from-layer="505" from-port="2" to-layer="764" to-port="1" />
+		<edge from-layer="505" from-port="2" to-layer="507" to-port="0" />
+		<edge from-layer="506" from-port="0" to-layer="507" to-port="1" />
+		<edge from-layer="507" from-port="2" to-layer="509" to-port="0" />
+		<edge from-layer="508" from-port="0" to-layer="509" to-port="1" />
+		<edge from-layer="509" from-port="2" to-layer="511" to-port="0" />
+		<edge from-layer="510" from-port="0" to-layer="511" to-port="1" />
+		<edge from-layer="511" from-port="2" to-layer="513" to-port="0" />
+		<edge from-layer="512" from-port="0" to-layer="513" to-port="1" />
+		<edge from-layer="513" from-port="2" to-layer="515" to-port="0" />
+		<edge from-layer="514" from-port="0" to-layer="515" to-port="1" />
+		<edge from-layer="515" from-port="2" to-layer="520" to-port="0" />
+		<edge from-layer="516" from-port="0" to-layer="520" to-port="1" />
+		<edge from-layer="517" from-port="0" to-layer="520" to-port="2" />
+		<edge from-layer="518" from-port="0" to-layer="520" to-port="3" />
+		<edge from-layer="519" from-port="0" to-layer="520" to-port="4" />
+		<edge from-layer="520" from-port="5" to-layer="525" to-port="0" />
+		<edge from-layer="521" from-port="0" to-layer="522" to-port="0" />
+		<edge from-layer="522" from-port="1" to-layer="524" to-port="0" />
+		<edge from-layer="523" from-port="0" to-layer="524" to-port="1" />
+		<edge from-layer="524" from-port="2" to-layer="525" to-port="1" />
+		<edge from-layer="525" from-port="2" to-layer="527" to-port="0" />
+		<edge from-layer="526" from-port="0" to-layer="527" to-port="1" />
+		<edge from-layer="527" from-port="2" to-layer="529" to-port="0" />
+		<edge from-layer="528" from-port="0" to-layer="529" to-port="1" />
+		<edge from-layer="529" from-port="2" to-layer="531" to-port="0" />
+		<edge from-layer="530" from-port="0" to-layer="531" to-port="1" />
+		<edge from-layer="531" from-port="2" to-layer="617" to-port="1" />
+		<edge from-layer="531" from-port="2" to-layer="533" to-port="0" />
+		<edge from-layer="532" from-port="0" to-layer="533" to-port="1" />
+		<edge from-layer="533" from-port="2" to-layer="535" to-port="0" />
+		<edge from-layer="534" from-port="0" to-layer="535" to-port="1" />
+		<edge from-layer="535" from-port="2" to-layer="537" to-port="0" />
+		<edge from-layer="536" from-port="0" to-layer="537" to-port="1" />
+		<edge from-layer="537" from-port="2" to-layer="546" to-port="0" />
+		<edge from-layer="537" from-port="2" to-layer="597" to-port="0" />
+		<edge from-layer="537" from-port="2" to-layer="576" to-port="0" />
+		<edge from-layer="538" from-port="0" to-layer="539" to-port="0" />
+		<edge from-layer="539" from-port="1" to-layer="542" to-port="0" />
+		<edge from-layer="540" from-port="0" to-layer="541" to-port="0" />
+		<edge from-layer="541" from-port="1" to-layer="542" to-port="1" />
+		<edge from-layer="542" from-port="2" to-layer="544" to-port="0" />
+		<edge from-layer="543" from-port="0" to-layer="544" to-port="1" />
+		<edge from-layer="544" from-port="2" to-layer="545" to-port="0" />
+		<edge from-layer="545" from-port="1" to-layer="546" to-port="1" />
+		<edge from-layer="546" from-port="2" to-layer="548" to-port="0" />
+		<edge from-layer="547" from-port="0" to-layer="548" to-port="1" />
+		<edge from-layer="548" from-port="2" to-layer="550" to-port="0" />
+		<edge from-layer="549" from-port="0" to-layer="550" to-port="1" />
+		<edge from-layer="550" from-port="2" to-layer="552" to-port="0" />
+		<edge from-layer="550" from-port="2" to-layer="562" to-port="0" />
+		<edge from-layer="551" from-port="0" to-layer="560" to-port="0" />
+		<edge from-layer="552" from-port="1" to-layer="557" to-port="0" />
+		<edge from-layer="553" from-port="0" to-layer="557" to-port="1" />
+		<edge from-layer="554" from-port="0" to-layer="557" to-port="2" />
+		<edge from-layer="555" from-port="0" to-layer="557" to-port="3" />
+		<edge from-layer="556" from-port="0" to-layer="557" to-port="4" />
+		<edge from-layer="557" from-port="5" to-layer="558" to-port="0" />
+		<edge from-layer="558" from-port="1" to-layer="559" to-port="0" />
+		<edge from-layer="559" from-port="1" to-layer="560" to-port="1" />
+		<edge from-layer="560" from-port="2" to-layer="561" to-port="0" />
+		<edge from-layer="561" from-port="1" to-layer="562" to-port="1" />
+		<edge from-layer="561" from-port="1" to-layer="581" to-port="1" />
+		<edge from-layer="562" from-port="2" to-layer="567" to-port="0" />
+		<edge from-layer="563" from-port="0" to-layer="567" to-port="1" />
+		<edge from-layer="564" from-port="0" to-layer="567" to-port="2" />
+		<edge from-layer="565" from-port="0" to-layer="567" to-port="3" />
+		<edge from-layer="566" from-port="0" to-layer="567" to-port="4" />
+		<edge from-layer="567" from-port="5" to-layer="587" to-port="0" />
+		<edge from-layer="568" from-port="0" to-layer="569" to-port="0" />
+		<edge from-layer="569" from-port="1" to-layer="572" to-port="0" />
+		<edge from-layer="570" from-port="0" to-layer="571" to-port="0" />
+		<edge from-layer="571" from-port="1" to-layer="572" to-port="1" />
+		<edge from-layer="572" from-port="2" to-layer="574" to-port="0" />
+		<edge from-layer="573" from-port="0" to-layer="574" to-port="1" />
+		<edge from-layer="574" from-port="2" to-layer="575" to-port="0" />
+		<edge from-layer="575" from-port="1" to-layer="576" to-port="1" />
+		<edge from-layer="576" from-port="2" to-layer="578" to-port="0" />
+		<edge from-layer="577" from-port="0" to-layer="578" to-port="1" />
+		<edge from-layer="578" from-port="2" to-layer="580" to-port="0" />
+		<edge from-layer="579" from-port="0" to-layer="580" to-port="1" />
+		<edge from-layer="580" from-port="2" to-layer="581" to-port="0" />
+		<edge from-layer="581" from-port="2" to-layer="586" to-port="0" />
+		<edge from-layer="582" from-port="0" to-layer="586" to-port="1" />
+		<edge from-layer="583" from-port="0" to-layer="586" to-port="2" />
+		<edge from-layer="584" from-port="0" to-layer="586" to-port="3" />
+		<edge from-layer="585" from-port="0" to-layer="586" to-port="4" />
+		<edge from-layer="586" from-port="5" to-layer="587" to-port="1" />
+		<edge from-layer="587" from-port="2" to-layer="588" to-port="0" />
+		<edge from-layer="588" from-port="1" to-layer="602" to-port="0" />
+		<edge from-layer="589" from-port="0" to-layer="590" to-port="0" />
+		<edge from-layer="590" from-port="1" to-layer="593" to-port="0" />
+		<edge from-layer="591" from-port="0" to-layer="592" to-port="0" />
+		<edge from-layer="592" from-port="1" to-layer="593" to-port="1" />
+		<edge from-layer="593" from-port="2" to-layer="595" to-port="0" />
+		<edge from-layer="594" from-port="0" to-layer="595" to-port="1" />
+		<edge from-layer="595" from-port="2" to-layer="596" to-port="0" />
+		<edge from-layer="596" from-port="1" to-layer="597" to-port="1" />
+		<edge from-layer="597" from-port="2" to-layer="599" to-port="0" />
+		<edge from-layer="598" from-port="0" to-layer="599" to-port="1" />
+		<edge from-layer="599" from-port="2" to-layer="601" to-port="0" />
+		<edge from-layer="600" from-port="0" to-layer="601" to-port="1" />
+		<edge from-layer="601" from-port="2" to-layer="602" to-port="1" />
+		<edge from-layer="602" from-port="2" to-layer="604" to-port="0" />
+		<edge from-layer="603" from-port="0" to-layer="604" to-port="1" />
+		<edge from-layer="604" from-port="2" to-layer="606" to-port="0" />
+		<edge from-layer="605" from-port="0" to-layer="606" to-port="1" />
+		<edge from-layer="606" from-port="2" to-layer="615" to-port="0" />
+		<edge from-layer="607" from-port="0" to-layer="608" to-port="0" />
+		<edge from-layer="608" from-port="1" to-layer="611" to-port="0" />
+		<edge from-layer="609" from-port="0" to-layer="610" to-port="0" />
+		<edge from-layer="610" from-port="1" to-layer="611" to-port="1" />
+		<edge from-layer="611" from-port="2" to-layer="613" to-port="0" />
+		<edge from-layer="612" from-port="0" to-layer="613" to-port="1" />
+		<edge from-layer="613" from-port="2" to-layer="614" to-port="0" />
+		<edge from-layer="614" from-port="1" to-layer="615" to-port="1" />
+		<edge from-layer="615" from-port="2" to-layer="616" to-port="1" />
+		<edge from-layer="616" from-port="2" to-layer="617" to-port="0" />
+		<edge from-layer="617" from-port="2" to-layer="703" to-port="1" />
+		<edge from-layer="617" from-port="2" to-layer="619" to-port="0" />
+		<edge from-layer="618" from-port="0" to-layer="619" to-port="1" />
+		<edge from-layer="619" from-port="2" to-layer="621" to-port="0" />
+		<edge from-layer="620" from-port="0" to-layer="621" to-port="1" />
+		<edge from-layer="621" from-port="2" to-layer="623" to-port="0" />
+		<edge from-layer="622" from-port="0" to-layer="623" to-port="1" />
+		<edge from-layer="623" from-port="2" to-layer="632" to-port="0" />
+		<edge from-layer="624" from-port="0" to-layer="625" to-port="0" />
+		<edge from-layer="625" from-port="1" to-layer="628" to-port="0" />
+		<edge from-layer="626" from-port="0" to-layer="627" to-port="0" />
+		<edge from-layer="627" from-port="1" to-layer="628" to-port="1" />
+		<edge from-layer="628" from-port="2" to-layer="630" to-port="0" />
+		<edge from-layer="629" from-port="0" to-layer="630" to-port="1" />
+		<edge from-layer="630" from-port="2" to-layer="631" to-port="0" />
+		<edge from-layer="631" from-port="1" to-layer="632" to-port="1" />
+		<edge from-layer="632" from-port="2" to-layer="634" to-port="0" />
+		<edge from-layer="633" from-port="0" to-layer="634" to-port="1" />
+		<edge from-layer="634" from-port="2" to-layer="636" to-port="0" />
+		<edge from-layer="635" from-port="0" to-layer="636" to-port="1" />
+		<edge from-layer="636" from-port="2" to-layer="638" to-port="0" />
+		<edge from-layer="636" from-port="2" to-layer="648" to-port="0" />
+		<edge from-layer="637" from-port="0" to-layer="646" to-port="0" />
+		<edge from-layer="638" from-port="1" to-layer="643" to-port="0" />
+		<edge from-layer="639" from-port="0" to-layer="643" to-port="1" />
+		<edge from-layer="640" from-port="0" to-layer="643" to-port="2" />
+		<edge from-layer="641" from-port="0" to-layer="643" to-port="3" />
+		<edge from-layer="642" from-port="0" to-layer="643" to-port="4" />
+		<edge from-layer="643" from-port="5" to-layer="644" to-port="0" />
+		<edge from-layer="644" from-port="1" to-layer="645" to-port="0" />
+		<edge from-layer="645" from-port="1" to-layer="646" to-port="1" />
+		<edge from-layer="646" from-port="2" to-layer="647" to-port="0" />
+		<edge from-layer="647" from-port="1" to-layer="648" to-port="1" />
+		<edge from-layer="647" from-port="1" to-layer="667" to-port="1" />
+		<edge from-layer="648" from-port="2" to-layer="653" to-port="0" />
+		<edge from-layer="649" from-port="0" to-layer="653" to-port="1" />
+		<edge from-layer="650" from-port="0" to-layer="653" to-port="2" />
+		<edge from-layer="651" from-port="0" to-layer="653" to-port="3" />
+		<edge from-layer="652" from-port="0" to-layer="653" to-port="4" />
+		<edge from-layer="653" from-port="5" to-layer="673" to-port="0" />
+		<edge from-layer="654" from-port="0" to-layer="655" to-port="0" />
+		<edge from-layer="655" from-port="1" to-layer="658" to-port="0" />
+		<edge from-layer="656" from-port="0" to-layer="657" to-port="0" />
+		<edge from-layer="657" from-port="1" to-layer="658" to-port="1" />
+		<edge from-layer="658" from-port="2" to-layer="660" to-port="0" />
+		<edge from-layer="659" from-port="0" to-layer="660" to-port="1" />
+		<edge from-layer="660" from-port="2" to-layer="661" to-port="0" />
+		<edge from-layer="661" from-port="1" to-layer="662" to-port="1" />
+		<edge from-layer="662" from-port="2" to-layer="664" to-port="0" />
+		<edge from-layer="663" from-port="0" to-layer="664" to-port="1" />
+		<edge from-layer="664" from-port="2" to-layer="666" to-port="0" />
+		<edge from-layer="665" from-port="0" to-layer="666" to-port="1" />
+		<edge from-layer="666" from-port="2" to-layer="667" to-port="0" />
+		<edge from-layer="667" from-port="2" to-layer="672" to-port="0" />
+		<edge from-layer="668" from-port="0" to-layer="672" to-port="1" />
+		<edge from-layer="669" from-port="0" to-layer="672" to-port="2" />
+		<edge from-layer="670" from-port="0" to-layer="672" to-port="3" />
+		<edge from-layer="671" from-port="0" to-layer="672" to-port="4" />
+		<edge from-layer="672" from-port="5" to-layer="673" to-port="1" />
+		<edge from-layer="673" from-port="2" to-layer="674" to-port="0" />
+		<edge from-layer="674" from-port="1" to-layer="688" to-port="0" />
+		<edge from-layer="675" from-port="0" to-layer="676" to-port="0" />
+		<edge from-layer="676" from-port="1" to-layer="679" to-port="0" />
+		<edge from-layer="677" from-port="0" to-layer="678" to-port="0" />
+		<edge from-layer="678" from-port="1" to-layer="679" to-port="1" />
+		<edge from-layer="679" from-port="2" to-layer="681" to-port="0" />
+		<edge from-layer="680" from-port="0" to-layer="681" to-port="1" />
+		<edge from-layer="681" from-port="2" to-layer="682" to-port="0" />
+		<edge from-layer="682" from-port="1" to-layer="683" to-port="1" />
+		<edge from-layer="683" from-port="2" to-layer="685" to-port="0" />
+		<edge from-layer="684" from-port="0" to-layer="685" to-port="1" />
+		<edge from-layer="685" from-port="2" to-layer="687" to-port="0" />
+		<edge from-layer="686" from-port="0" to-layer="687" to-port="1" />
+		<edge from-layer="687" from-port="2" to-layer="688" to-port="1" />
+		<edge from-layer="688" from-port="2" to-layer="690" to-port="0" />
+		<edge from-layer="689" from-port="0" to-layer="690" to-port="1" />
+		<edge from-layer="690" from-port="2" to-layer="692" to-port="0" />
+		<edge from-layer="691" from-port="0" to-layer="692" to-port="1" />
+		<edge from-layer="692" from-port="2" to-layer="701" to-port="0" />
+		<edge from-layer="693" from-port="0" to-layer="694" to-port="0" />
+		<edge from-layer="694" from-port="1" to-layer="697" to-port="0" />
+		<edge from-layer="695" from-port="0" to-layer="696" to-port="0" />
+		<edge from-layer="696" from-port="1" to-layer="697" to-port="1" />
+		<edge from-layer="697" from-port="2" to-layer="699" to-port="0" />
+		<edge from-layer="698" from-port="0" to-layer="699" to-port="1" />
+		<edge from-layer="699" from-port="2" to-layer="700" to-port="0" />
+		<edge from-layer="700" from-port="1" to-layer="701" to-port="1" />
+		<edge from-layer="701" from-port="2" to-layer="702" to-port="1" />
+		<edge from-layer="702" from-port="2" to-layer="703" to-port="0" />
+		<edge from-layer="703" from-port="2" to-layer="747" to-port="1" />
+		<edge from-layer="703" from-port="2" to-layer="705" to-port="0" />
+		<edge from-layer="704" from-port="0" to-layer="705" to-port="1" />
+		<edge from-layer="705" from-port="2" to-layer="707" to-port="0" />
+		<edge from-layer="706" from-port="0" to-layer="707" to-port="1" />
+		<edge from-layer="707" from-port="2" to-layer="709" to-port="0" />
+		<edge from-layer="708" from-port="0" to-layer="709" to-port="1" />
+		<edge from-layer="709" from-port="2" to-layer="718" to-port="0" />
+		<edge from-layer="710" from-port="0" to-layer="711" to-port="0" />
+		<edge from-layer="711" from-port="1" to-layer="714" to-port="0" />
+		<edge from-layer="712" from-port="0" to-layer="713" to-port="0" />
+		<edge from-layer="713" from-port="1" to-layer="714" to-port="1" />
+		<edge from-layer="714" from-port="2" to-layer="716" to-port="0" />
+		<edge from-layer="715" from-port="0" to-layer="716" to-port="1" />
+		<edge from-layer="716" from-port="2" to-layer="717" to-port="0" />
+		<edge from-layer="717" from-port="1" to-layer="718" to-port="1" />
+		<edge from-layer="718" from-port="2" to-layer="719" to-port="1" />
+		<edge from-layer="719" from-port="2" to-layer="721" to-port="0" />
+		<edge from-layer="719" from-port="2" to-layer="734" to-port="0" />
+		<edge from-layer="719" from-port="2" to-layer="730" to-port="0" />
+		<edge from-layer="720" from-port="0" to-layer="730" to-port="1" />
+		<edge from-layer="721" from-port="1" to-layer="724" to-port="0" />
+		<edge from-layer="722" from-port="0" to-layer="730" to-port="4" />
+		<edge from-layer="722" from-port="0" to-layer="734" to-port="4" />
+		<edge from-layer="722" from-port="0" to-layer="724" to-port="1" />
+		<edge from-layer="723" from-port="0" to-layer="724" to-port="2" />
+		<edge from-layer="724" from-port="3" to-layer="726" to-port="0" />
+		<edge from-layer="725" from-port="0" to-layer="726" to-port="1" />
+		<edge from-layer="726" from-port="2" to-layer="728" to-port="0" />
+		<edge from-layer="727" from-port="0" to-layer="728" to-port="1" />
+		<edge from-layer="728" from-port="2" to-layer="730" to-port="2" />
+		<edge from-layer="728" from-port="2" to-layer="732" to-port="0" />
+		<edge from-layer="728" from-port="2" to-layer="734" to-port="1" />
+		<edge from-layer="729" from-port="0" to-layer="730" to-port="3" />
+		<edge from-layer="730" from-port="5" to-layer="736" to-port="0" />
+		<edge from-layer="731" from-port="0" to-layer="732" to-port="1" />
+		<edge from-layer="732" from-port="2" to-layer="734" to-port="2" />
+		<edge from-layer="733" from-port="0" to-layer="734" to-port="3" />
+		<edge from-layer="734" from-port="5" to-layer="735" to-port="0" />
+		<edge from-layer="735" from-port="1" to-layer="736" to-port="1" />
+		<edge from-layer="736" from-port="2" to-layer="745" to-port="0" />
+		<edge from-layer="737" from-port="0" to-layer="738" to-port="0" />
+		<edge from-layer="738" from-port="1" to-layer="741" to-port="0" />
+		<edge from-layer="739" from-port="0" to-layer="740" to-port="0" />
+		<edge from-layer="740" from-port="1" to-layer="741" to-port="1" />
+		<edge from-layer="741" from-port="2" to-layer="743" to-port="0" />
+		<edge from-layer="742" from-port="0" to-layer="743" to-port="1" />
+		<edge from-layer="743" from-port="2" to-layer="744" to-port="0" />
+		<edge from-layer="744" from-port="1" to-layer="745" to-port="1" />
+		<edge from-layer="745" from-port="2" to-layer="746" to-port="1" />
+		<edge from-layer="746" from-port="2" to-layer="747" to-port="0" />
+		<edge from-layer="747" from-port="2" to-layer="752" to-port="0" />
+		<edge from-layer="748" from-port="0" to-layer="752" to-port="1" />
+		<edge from-layer="749" from-port="0" to-layer="752" to-port="2" />
+		<edge from-layer="750" from-port="0" to-layer="752" to-port="3" />
+		<edge from-layer="751" from-port="0" to-layer="752" to-port="4" />
+		<edge from-layer="752" from-port="5" to-layer="754" to-port="0" />
+		<edge from-layer="753" from-port="0" to-layer="754" to-port="1" />
+		<edge from-layer="754" from-port="2" to-layer="756" to-port="0" />
+		<edge from-layer="755" from-port="0" to-layer="756" to-port="1" />
+		<edge from-layer="756" from-port="2" to-layer="761" to-port="0" />
+		<edge from-layer="757" from-port="0" to-layer="758" to-port="0" />
+		<edge from-layer="758" from-port="1" to-layer="760" to-port="0" />
+		<edge from-layer="759" from-port="0" to-layer="760" to-port="1" />
+		<edge from-layer="760" from-port="2" to-layer="761" to-port="1" />
+		<edge from-layer="761" from-port="2" to-layer="763" to-port="0" />
+		<edge from-layer="762" from-port="0" to-layer="763" to-port="1" />
+		<edge from-layer="763" from-port="2" to-layer="764" to-port="0" />
+		<edge from-layer="764" from-port="2" to-layer="769" to-port="0" />
+		<edge from-layer="764" from-port="2" to-layer="4919" to-port="1" />
+		<edge from-layer="765" from-port="0" to-layer="769" to-port="1" />
+		<edge from-layer="766" from-port="0" to-layer="769" to-port="2" />
+		<edge from-layer="767" from-port="0" to-layer="769" to-port="3" />
+		<edge from-layer="768" from-port="0" to-layer="769" to-port="4" />
+		<edge from-layer="769" from-port="5" to-layer="774" to-port="0" />
+		<edge from-layer="770" from-port="0" to-layer="771" to-port="0" />
+		<edge from-layer="771" from-port="1" to-layer="773" to-port="0" />
+		<edge from-layer="772" from-port="0" to-layer="773" to-port="1" />
+		<edge from-layer="773" from-port="2" to-layer="774" to-port="1" />
+		<edge from-layer="774" from-port="2" to-layer="776" to-port="0" />
+		<edge from-layer="775" from-port="0" to-layer="776" to-port="1" />
+		<edge from-layer="776" from-port="2" to-layer="781" to-port="0" />
+		<edge from-layer="776" from-port="2" to-layer="790" to-port="0" />
+		<edge from-layer="776" from-port="2" to-layer="4565" to-port="1" />
+		<edge from-layer="777" from-port="0" to-layer="781" to-port="1" />
+		<edge from-layer="778" from-port="0" to-layer="781" to-port="2" />
+		<edge from-layer="779" from-port="0" to-layer="781" to-port="3" />
+		<edge from-layer="780" from-port="0" to-layer="781" to-port="4" />
+		<edge from-layer="781" from-port="5" to-layer="786" to-port="0" />
+		<edge from-layer="782" from-port="0" to-layer="783" to-port="0" />
+		<edge from-layer="783" from-port="1" to-layer="785" to-port="0" />
+		<edge from-layer="784" from-port="0" to-layer="785" to-port="1" />
+		<edge from-layer="785" from-port="2" to-layer="786" to-port="1" />
+		<edge from-layer="786" from-port="2" to-layer="788" to-port="0" />
+		<edge from-layer="787" from-port="0" to-layer="788" to-port="1" />
+		<edge from-layer="788" from-port="2" to-layer="851" to-port="0" />
+		<edge from-layer="789" from-port="0" to-layer="790" to-port="1" />
+		<edge from-layer="790" from-port="2" to-layer="792" to-port="0" />
+		<edge from-layer="791" from-port="0" to-layer="792" to-port="1" />
+		<edge from-layer="792" from-port="2" to-layer="794" to-port="0" />
+		<edge from-layer="793" from-port="0" to-layer="794" to-port="1" />
+		<edge from-layer="794" from-port="2" to-layer="796" to-port="0" />
+		<edge from-layer="795" from-port="0" to-layer="796" to-port="1" />
+		<edge from-layer="796" from-port="2" to-layer="798" to-port="0" />
+		<edge from-layer="797" from-port="0" to-layer="798" to-port="1" />
+		<edge from-layer="798" from-port="2" to-layer="799" to-port="0" />
+		<edge from-layer="799" from-port="1" to-layer="804" to-port="0" />
+		<edge from-layer="800" from-port="0" to-layer="804" to-port="1" />
+		<edge from-layer="801" from-port="0" to-layer="804" to-port="2" />
+		<edge from-layer="802" from-port="0" to-layer="804" to-port="3" />
+		<edge from-layer="803" from-port="0" to-layer="804" to-port="4" />
+		<edge from-layer="804" from-port="5" to-layer="809" to-port="0" />
+		<edge from-layer="805" from-port="0" to-layer="806" to-port="0" />
+		<edge from-layer="806" from-port="1" to-layer="808" to-port="0" />
+		<edge from-layer="807" from-port="0" to-layer="808" to-port="1" />
+		<edge from-layer="808" from-port="2" to-layer="809" to-port="1" />
+		<edge from-layer="809" from-port="2" to-layer="811" to-port="0" />
+		<edge from-layer="810" from-port="0" to-layer="811" to-port="1" />
+		<edge from-layer="811" from-port="2" to-layer="827" to-port="0" />
+		<edge from-layer="812" from-port="0" to-layer="813" to-port="0" />
+		<edge from-layer="813" from-port="1" to-layer="816" to-port="0" />
+		<edge from-layer="814" from-port="0" to-layer="815" to-port="0" />
+		<edge from-layer="815" from-port="1" to-layer="816" to-port="1" />
+		<edge from-layer="816" from-port="2" to-layer="818" to-port="0" />
+		<edge from-layer="817" from-port="0" to-layer="818" to-port="1" />
+		<edge from-layer="818" from-port="2" to-layer="819" to-port="0" />
+		<edge from-layer="819" from-port="1" to-layer="820" to-port="1" />
+		<edge from-layer="820" from-port="2" to-layer="822" to-port="0" />
+		<edge from-layer="821" from-port="0" to-layer="822" to-port="1" />
+		<edge from-layer="822" from-port="2" to-layer="824" to-port="0" />
+		<edge from-layer="823" from-port="0" to-layer="824" to-port="1" />
+		<edge from-layer="824" from-port="2" to-layer="826" to-port="0" />
+		<edge from-layer="825" from-port="0" to-layer="826" to-port="1" />
+		<edge from-layer="826" from-port="2" to-layer="827" to-port="1" />
+		<edge from-layer="827" from-port="2" to-layer="829" to-port="0" />
+		<edge from-layer="828" from-port="0" to-layer="829" to-port="1" />
+		<edge from-layer="829" from-port="2" to-layer="831" to-port="0" />
+		<edge from-layer="830" from-port="0" to-layer="831" to-port="1" />
+		<edge from-layer="831" from-port="2" to-layer="833" to-port="0" />
+		<edge from-layer="832" from-port="0" to-layer="833" to-port="1" />
+		<edge from-layer="833" from-port="2" to-layer="835" to-port="0" />
+		<edge from-layer="834" from-port="0" to-layer="835" to-port="1" />
+		<edge from-layer="835" from-port="2" to-layer="837" to-port="0" />
+		<edge from-layer="836" from-port="0" to-layer="837" to-port="1" />
+		<edge from-layer="837" from-port="2" to-layer="838" to-port="0" />
+		<edge from-layer="838" from-port="1" to-layer="843" to-port="0" />
+		<edge from-layer="839" from-port="0" to-layer="843" to-port="1" />
+		<edge from-layer="840" from-port="0" to-layer="843" to-port="2" />
+		<edge from-layer="841" from-port="0" to-layer="843" to-port="3" />
+		<edge from-layer="842" from-port="0" to-layer="843" to-port="4" />
+		<edge from-layer="843" from-port="5" to-layer="848" to-port="0" />
+		<edge from-layer="844" from-port="0" to-layer="845" to-port="0" />
+		<edge from-layer="845" from-port="1" to-layer="847" to-port="0" />
+		<edge from-layer="846" from-port="0" to-layer="847" to-port="1" />
+		<edge from-layer="847" from-port="2" to-layer="848" to-port="1" />
+		<edge from-layer="848" from-port="2" to-layer="850" to-port="0" />
+		<edge from-layer="849" from-port="0" to-layer="850" to-port="1" />
+		<edge from-layer="850" from-port="2" to-layer="851" to-port="1" />
+		<edge from-layer="851" from-port="2" to-layer="1110" to-port="1" />
+		<edge from-layer="851" from-port="2" to-layer="853" to-port="0" />
+		<edge from-layer="852" from-port="0" to-layer="853" to-port="1" />
+		<edge from-layer="853" from-port="2" to-layer="855" to-port="0" />
+		<edge from-layer="854" from-port="0" to-layer="855" to-port="1" />
+		<edge from-layer="855" from-port="2" to-layer="857" to-port="0" />
+		<edge from-layer="856" from-port="0" to-layer="857" to-port="1" />
+		<edge from-layer="857" from-port="2" to-layer="859" to-port="0" />
+		<edge from-layer="858" from-port="0" to-layer="859" to-port="1" />
+		<edge from-layer="859" from-port="2" to-layer="861" to-port="0" />
+		<edge from-layer="860" from-port="0" to-layer="861" to-port="1" />
+		<edge from-layer="861" from-port="2" to-layer="866" to-port="0" />
+		<edge from-layer="862" from-port="0" to-layer="866" to-port="1" />
+		<edge from-layer="863" from-port="0" to-layer="866" to-port="2" />
+		<edge from-layer="864" from-port="0" to-layer="866" to-port="3" />
+		<edge from-layer="865" from-port="0" to-layer="866" to-port="4" />
+		<edge from-layer="866" from-port="5" to-layer="871" to-port="0" />
+		<edge from-layer="867" from-port="0" to-layer="868" to-port="0" />
+		<edge from-layer="868" from-port="1" to-layer="870" to-port="0" />
+		<edge from-layer="869" from-port="0" to-layer="870" to-port="1" />
+		<edge from-layer="870" from-port="2" to-layer="871" to-port="1" />
+		<edge from-layer="871" from-port="2" to-layer="873" to-port="0" />
+		<edge from-layer="872" from-port="0" to-layer="873" to-port="1" />
+		<edge from-layer="873" from-port="2" to-layer="875" to-port="0" />
+		<edge from-layer="874" from-port="0" to-layer="875" to-port="1" />
+		<edge from-layer="875" from-port="2" to-layer="877" to-port="0" />
+		<edge from-layer="876" from-port="0" to-layer="877" to-port="1" />
+		<edge from-layer="877" from-port="2" to-layer="963" to-port="1" />
+		<edge from-layer="877" from-port="2" to-layer="879" to-port="0" />
+		<edge from-layer="878" from-port="0" to-layer="879" to-port="1" />
+		<edge from-layer="879" from-port="2" to-layer="881" to-port="0" />
+		<edge from-layer="880" from-port="0" to-layer="881" to-port="1" />
+		<edge from-layer="881" from-port="2" to-layer="883" to-port="0" />
+		<edge from-layer="882" from-port="0" to-layer="883" to-port="1" />
+		<edge from-layer="883" from-port="2" to-layer="892" to-port="0" />
+		<edge from-layer="883" from-port="2" to-layer="943" to-port="0" />
+		<edge from-layer="883" from-port="2" to-layer="922" to-port="0" />
+		<edge from-layer="884" from-port="0" to-layer="885" to-port="0" />
+		<edge from-layer="885" from-port="1" to-layer="888" to-port="0" />
+		<edge from-layer="886" from-port="0" to-layer="887" to-port="0" />
+		<edge from-layer="887" from-port="1" to-layer="888" to-port="1" />
+		<edge from-layer="888" from-port="2" to-layer="890" to-port="0" />
+		<edge from-layer="889" from-port="0" to-layer="890" to-port="1" />
+		<edge from-layer="890" from-port="2" to-layer="891" to-port="0" />
+		<edge from-layer="891" from-port="1" to-layer="892" to-port="1" />
+		<edge from-layer="892" from-port="2" to-layer="894" to-port="0" />
+		<edge from-layer="893" from-port="0" to-layer="894" to-port="1" />
+		<edge from-layer="894" from-port="2" to-layer="896" to-port="0" />
+		<edge from-layer="895" from-port="0" to-layer="896" to-port="1" />
+		<edge from-layer="896" from-port="2" to-layer="898" to-port="0" />
+		<edge from-layer="896" from-port="2" to-layer="908" to-port="0" />
+		<edge from-layer="897" from-port="0" to-layer="906" to-port="0" />
+		<edge from-layer="898" from-port="1" to-layer="903" to-port="0" />
+		<edge from-layer="899" from-port="0" to-layer="903" to-port="1" />
+		<edge from-layer="900" from-port="0" to-layer="903" to-port="2" />
+		<edge from-layer="901" from-port="0" to-layer="903" to-port="3" />
+		<edge from-layer="902" from-port="0" to-layer="903" to-port="4" />
+		<edge from-layer="903" from-port="5" to-layer="904" to-port="0" />
+		<edge from-layer="904" from-port="1" to-layer="905" to-port="0" />
+		<edge from-layer="905" from-port="1" to-layer="906" to-port="1" />
+		<edge from-layer="906" from-port="2" to-layer="907" to-port="0" />
+		<edge from-layer="907" from-port="1" to-layer="908" to-port="1" />
+		<edge from-layer="907" from-port="1" to-layer="927" to-port="1" />
+		<edge from-layer="908" from-port="2" to-layer="913" to-port="0" />
+		<edge from-layer="909" from-port="0" to-layer="913" to-port="1" />
+		<edge from-layer="910" from-port="0" to-layer="913" to-port="2" />
+		<edge from-layer="911" from-port="0" to-layer="913" to-port="3" />
+		<edge from-layer="912" from-port="0" to-layer="913" to-port="4" />
+		<edge from-layer="913" from-port="5" to-layer="933" to-port="0" />
+		<edge from-layer="914" from-port="0" to-layer="915" to-port="0" />
+		<edge from-layer="915" from-port="1" to-layer="918" to-port="0" />
+		<edge from-layer="916" from-port="0" to-layer="917" to-port="0" />
+		<edge from-layer="917" from-port="1" to-layer="918" to-port="1" />
+		<edge from-layer="918" from-port="2" to-layer="920" to-port="0" />
+		<edge from-layer="919" from-port="0" to-layer="920" to-port="1" />
+		<edge from-layer="920" from-port="2" to-layer="921" to-port="0" />
+		<edge from-layer="921" from-port="1" to-layer="922" to-port="1" />
+		<edge from-layer="922" from-port="2" to-layer="924" to-port="0" />
+		<edge from-layer="923" from-port="0" to-layer="924" to-port="1" />
+		<edge from-layer="924" from-port="2" to-layer="926" to-port="0" />
+		<edge from-layer="925" from-port="0" to-layer="926" to-port="1" />
+		<edge from-layer="926" from-port="2" to-layer="927" to-port="0" />
+		<edge from-layer="927" from-port="2" to-layer="932" to-port="0" />
+		<edge from-layer="928" from-port="0" to-layer="932" to-port="1" />
+		<edge from-layer="929" from-port="0" to-layer="932" to-port="2" />
+		<edge from-layer="930" from-port="0" to-layer="932" to-port="3" />
+		<edge from-layer="931" from-port="0" to-layer="932" to-port="4" />
+		<edge from-layer="932" from-port="5" to-layer="933" to-port="1" />
+		<edge from-layer="933" from-port="2" to-layer="934" to-port="0" />
+		<edge from-layer="934" from-port="1" to-layer="948" to-port="0" />
+		<edge from-layer="935" from-port="0" to-layer="936" to-port="0" />
+		<edge from-layer="936" from-port="1" to-layer="939" to-port="0" />
+		<edge from-layer="937" from-port="0" to-layer="938" to-port="0" />
+		<edge from-layer="938" from-port="1" to-layer="939" to-port="1" />
+		<edge from-layer="939" from-port="2" to-layer="941" to-port="0" />
+		<edge from-layer="940" from-port="0" to-layer="941" to-port="1" />
+		<edge from-layer="941" from-port="2" to-layer="942" to-port="0" />
+		<edge from-layer="942" from-port="1" to-layer="943" to-port="1" />
+		<edge from-layer="943" from-port="2" to-layer="945" to-port="0" />
+		<edge from-layer="944" from-port="0" to-layer="945" to-port="1" />
+		<edge from-layer="945" from-port="2" to-layer="947" to-port="0" />
+		<edge from-layer="946" from-port="0" to-layer="947" to-port="1" />
+		<edge from-layer="947" from-port="2" to-layer="948" to-port="1" />
+		<edge from-layer="948" from-port="2" to-layer="950" to-port="0" />
+		<edge from-layer="949" from-port="0" to-layer="950" to-port="1" />
+		<edge from-layer="950" from-port="2" to-layer="952" to-port="0" />
+		<edge from-layer="951" from-port="0" to-layer="952" to-port="1" />
+		<edge from-layer="952" from-port="2" to-layer="961" to-port="0" />
+		<edge from-layer="953" from-port="0" to-layer="954" to-port="0" />
+		<edge from-layer="954" from-port="1" to-layer="957" to-port="0" />
+		<edge from-layer="955" from-port="0" to-layer="956" to-port="0" />
+		<edge from-layer="956" from-port="1" to-layer="957" to-port="1" />
+		<edge from-layer="957" from-port="2" to-layer="959" to-port="0" />
+		<edge from-layer="958" from-port="0" to-layer="959" to-port="1" />
+		<edge from-layer="959" from-port="2" to-layer="960" to-port="0" />
+		<edge from-layer="960" from-port="1" to-layer="961" to-port="1" />
+		<edge from-layer="961" from-port="2" to-layer="962" to-port="1" />
+		<edge from-layer="962" from-port="2" to-layer="963" to-port="0" />
+		<edge from-layer="963" from-port="2" to-layer="1049" to-port="1" />
+		<edge from-layer="963" from-port="2" to-layer="965" to-port="0" />
+		<edge from-layer="964" from-port="0" to-layer="965" to-port="1" />
+		<edge from-layer="965" from-port="2" to-layer="967" to-port="0" />
+		<edge from-layer="966" from-port="0" to-layer="967" to-port="1" />
+		<edge from-layer="967" from-port="2" to-layer="969" to-port="0" />
+		<edge from-layer="968" from-port="0" to-layer="969" to-port="1" />
+		<edge from-layer="969" from-port="2" to-layer="978" to-port="0" />
+		<edge from-layer="970" from-port="0" to-layer="971" to-port="0" />
+		<edge from-layer="971" from-port="1" to-layer="974" to-port="0" />
+		<edge from-layer="972" from-port="0" to-layer="973" to-port="0" />
+		<edge from-layer="973" from-port="1" to-layer="974" to-port="1" />
+		<edge from-layer="974" from-port="2" to-layer="976" to-port="0" />
+		<edge from-layer="975" from-port="0" to-layer="976" to-port="1" />
+		<edge from-layer="976" from-port="2" to-layer="977" to-port="0" />
+		<edge from-layer="977" from-port="1" to-layer="978" to-port="1" />
+		<edge from-layer="978" from-port="2" to-layer="980" to-port="0" />
+		<edge from-layer="979" from-port="0" to-layer="980" to-port="1" />
+		<edge from-layer="980" from-port="2" to-layer="982" to-port="0" />
+		<edge from-layer="981" from-port="0" to-layer="982" to-port="1" />
+		<edge from-layer="982" from-port="2" to-layer="994" to-port="0" />
+		<edge from-layer="982" from-port="2" to-layer="984" to-port="0" />
+		<edge from-layer="983" from-port="0" to-layer="992" to-port="0" />
+		<edge from-layer="984" from-port="1" to-layer="989" to-port="0" />
+		<edge from-layer="985" from-port="0" to-layer="989" to-port="1" />
+		<edge from-layer="986" from-port="0" to-layer="989" to-port="2" />
+		<edge from-layer="987" from-port="0" to-layer="989" to-port="3" />
+		<edge from-layer="988" from-port="0" to-layer="989" to-port="4" />
+		<edge from-layer="989" from-port="5" to-layer="990" to-port="0" />
+		<edge from-layer="990" from-port="1" to-layer="991" to-port="0" />
+		<edge from-layer="991" from-port="1" to-layer="992" to-port="1" />
+		<edge from-layer="992" from-port="2" to-layer="993" to-port="0" />
+		<edge from-layer="993" from-port="1" to-layer="994" to-port="1" />
+		<edge from-layer="993" from-port="1" to-layer="1013" to-port="1" />
+		<edge from-layer="994" from-port="2" to-layer="999" to-port="0" />
+		<edge from-layer="995" from-port="0" to-layer="999" to-port="1" />
+		<edge from-layer="996" from-port="0" to-layer="999" to-port="2" />
+		<edge from-layer="997" from-port="0" to-layer="999" to-port="3" />
+		<edge from-layer="998" from-port="0" to-layer="999" to-port="4" />
+		<edge from-layer="999" from-port="5" to-layer="1019" to-port="0" />
+		<edge from-layer="1000" from-port="0" to-layer="1001" to-port="0" />
+		<edge from-layer="1001" from-port="1" to-layer="1004" to-port="0" />
+		<edge from-layer="1002" from-port="0" to-layer="1003" to-port="0" />
+		<edge from-layer="1003" from-port="1" to-layer="1004" to-port="1" />
+		<edge from-layer="1004" from-port="2" to-layer="1006" to-port="0" />
+		<edge from-layer="1005" from-port="0" to-layer="1006" to-port="1" />
+		<edge from-layer="1006" from-port="2" to-layer="1007" to-port="0" />
+		<edge from-layer="1007" from-port="1" to-layer="1008" to-port="1" />
+		<edge from-layer="1008" from-port="2" to-layer="1010" to-port="0" />
+		<edge from-layer="1009" from-port="0" to-layer="1010" to-port="1" />
+		<edge from-layer="1010" from-port="2" to-layer="1012" to-port="0" />
+		<edge from-layer="1011" from-port="0" to-layer="1012" to-port="1" />
+		<edge from-layer="1012" from-port="2" to-layer="1013" to-port="0" />
+		<edge from-layer="1013" from-port="2" to-layer="1018" to-port="0" />
+		<edge from-layer="1014" from-port="0" to-layer="1018" to-port="1" />
+		<edge from-layer="1015" from-port="0" to-layer="1018" to-port="2" />
+		<edge from-layer="1016" from-port="0" to-layer="1018" to-port="3" />
+		<edge from-layer="1017" from-port="0" to-layer="1018" to-port="4" />
+		<edge from-layer="1018" from-port="5" to-layer="1019" to-port="1" />
+		<edge from-layer="1019" from-port="2" to-layer="1020" to-port="0" />
+		<edge from-layer="1020" from-port="1" to-layer="1034" to-port="0" />
+		<edge from-layer="1021" from-port="0" to-layer="1022" to-port="0" />
+		<edge from-layer="1022" from-port="1" to-layer="1025" to-port="0" />
+		<edge from-layer="1023" from-port="0" to-layer="1024" to-port="0" />
+		<edge from-layer="1024" from-port="1" to-layer="1025" to-port="1" />
+		<edge from-layer="1025" from-port="2" to-layer="1027" to-port="0" />
+		<edge from-layer="1026" from-port="0" to-layer="1027" to-port="1" />
+		<edge from-layer="1027" from-port="2" to-layer="1028" to-port="0" />
+		<edge from-layer="1028" from-port="1" to-layer="1029" to-port="1" />
+		<edge from-layer="1029" from-port="2" to-layer="1031" to-port="0" />
+		<edge from-layer="1030" from-port="0" to-layer="1031" to-port="1" />
+		<edge from-layer="1031" from-port="2" to-layer="1033" to-port="0" />
+		<edge from-layer="1032" from-port="0" to-layer="1033" to-port="1" />
+		<edge from-layer="1033" from-port="2" to-layer="1034" to-port="1" />
+		<edge from-layer="1034" from-port="2" to-layer="1036" to-port="0" />
+		<edge from-layer="1035" from-port="0" to-layer="1036" to-port="1" />
+		<edge from-layer="1036" from-port="2" to-layer="1038" to-port="0" />
+		<edge from-layer="1037" from-port="0" to-layer="1038" to-port="1" />
+		<edge from-layer="1038" from-port="2" to-layer="1047" to-port="0" />
+		<edge from-layer="1039" from-port="0" to-layer="1040" to-port="0" />
+		<edge from-layer="1040" from-port="1" to-layer="1043" to-port="0" />
+		<edge from-layer="1041" from-port="0" to-layer="1042" to-port="0" />
+		<edge from-layer="1042" from-port="1" to-layer="1043" to-port="1" />
+		<edge from-layer="1043" from-port="2" to-layer="1045" to-port="0" />
+		<edge from-layer="1044" from-port="0" to-layer="1045" to-port="1" />
+		<edge from-layer="1045" from-port="2" to-layer="1046" to-port="0" />
+		<edge from-layer="1046" from-port="1" to-layer="1047" to-port="1" />
+		<edge from-layer="1047" from-port="2" to-layer="1048" to-port="1" />
+		<edge from-layer="1048" from-port="2" to-layer="1049" to-port="0" />
+		<edge from-layer="1049" from-port="2" to-layer="1093" to-port="1" />
+		<edge from-layer="1049" from-port="2" to-layer="1051" to-port="0" />
+		<edge from-layer="1050" from-port="0" to-layer="1051" to-port="1" />
+		<edge from-layer="1051" from-port="2" to-layer="1053" to-port="0" />
+		<edge from-layer="1052" from-port="0" to-layer="1053" to-port="1" />
+		<edge from-layer="1053" from-port="2" to-layer="1055" to-port="0" />
+		<edge from-layer="1054" from-port="0" to-layer="1055" to-port="1" />
+		<edge from-layer="1055" from-port="2" to-layer="1064" to-port="0" />
+		<edge from-layer="1056" from-port="0" to-layer="1057" to-port="0" />
+		<edge from-layer="1057" from-port="1" to-layer="1060" to-port="0" />
+		<edge from-layer="1058" from-port="0" to-layer="1059" to-port="0" />
+		<edge from-layer="1059" from-port="1" to-layer="1060" to-port="1" />
+		<edge from-layer="1060" from-port="2" to-layer="1062" to-port="0" />
+		<edge from-layer="1061" from-port="0" to-layer="1062" to-port="1" />
+		<edge from-layer="1062" from-port="2" to-layer="1063" to-port="0" />
+		<edge from-layer="1063" from-port="1" to-layer="1064" to-port="1" />
+		<edge from-layer="1064" from-port="2" to-layer="1065" to-port="1" />
+		<edge from-layer="1065" from-port="2" to-layer="1067" to-port="0" />
+		<edge from-layer="1065" from-port="2" to-layer="1076" to-port="0" />
+		<edge from-layer="1065" from-port="2" to-layer="1080" to-port="0" />
+		<edge from-layer="1066" from-port="0" to-layer="1076" to-port="1" />
+		<edge from-layer="1067" from-port="1" to-layer="1070" to-port="0" />
+		<edge from-layer="1068" from-port="0" to-layer="1070" to-port="1" />
+		<edge from-layer="1068" from-port="0" to-layer="1080" to-port="4" />
+		<edge from-layer="1068" from-port="0" to-layer="1076" to-port="4" />
+		<edge from-layer="1069" from-port="0" to-layer="1070" to-port="2" />
+		<edge from-layer="1070" from-port="3" to-layer="1072" to-port="0" />
+		<edge from-layer="1071" from-port="0" to-layer="1072" to-port="1" />
+		<edge from-layer="1072" from-port="2" to-layer="1074" to-port="0" />
+		<edge from-layer="1073" from-port="0" to-layer="1074" to-port="1" />
+		<edge from-layer="1074" from-port="2" to-layer="1076" to-port="2" />
+		<edge from-layer="1074" from-port="2" to-layer="1078" to-port="0" />
+		<edge from-layer="1074" from-port="2" to-layer="1080" to-port="1" />
+		<edge from-layer="1075" from-port="0" to-layer="1076" to-port="3" />
+		<edge from-layer="1076" from-port="5" to-layer="1082" to-port="0" />
+		<edge from-layer="1077" from-port="0" to-layer="1078" to-port="1" />
+		<edge from-layer="1078" from-port="2" to-layer="1080" to-port="2" />
+		<edge from-layer="1079" from-port="0" to-layer="1080" to-port="3" />
+		<edge from-layer="1080" from-port="5" to-layer="1081" to-port="0" />
+		<edge from-layer="1081" from-port="1" to-layer="1082" to-port="1" />
+		<edge from-layer="1082" from-port="2" to-layer="1091" to-port="0" />
+		<edge from-layer="1083" from-port="0" to-layer="1084" to-port="0" />
+		<edge from-layer="1084" from-port="1" to-layer="1087" to-port="0" />
+		<edge from-layer="1085" from-port="0" to-layer="1086" to-port="0" />
+		<edge from-layer="1086" from-port="1" to-layer="1087" to-port="1" />
+		<edge from-layer="1087" from-port="2" to-layer="1089" to-port="0" />
+		<edge from-layer="1088" from-port="0" to-layer="1089" to-port="1" />
+		<edge from-layer="1089" from-port="2" to-layer="1090" to-port="0" />
+		<edge from-layer="1090" from-port="1" to-layer="1091" to-port="1" />
+		<edge from-layer="1091" from-port="2" to-layer="1092" to-port="1" />
+		<edge from-layer="1092" from-port="2" to-layer="1093" to-port="0" />
+		<edge from-layer="1093" from-port="2" to-layer="1098" to-port="0" />
+		<edge from-layer="1094" from-port="0" to-layer="1098" to-port="1" />
+		<edge from-layer="1095" from-port="0" to-layer="1098" to-port="2" />
+		<edge from-layer="1096" from-port="0" to-layer="1098" to-port="3" />
+		<edge from-layer="1097" from-port="0" to-layer="1098" to-port="4" />
+		<edge from-layer="1098" from-port="5" to-layer="1100" to-port="0" />
+		<edge from-layer="1099" from-port="0" to-layer="1100" to-port="1" />
+		<edge from-layer="1100" from-port="2" to-layer="1102" to-port="0" />
+		<edge from-layer="1101" from-port="0" to-layer="1102" to-port="1" />
+		<edge from-layer="1102" from-port="2" to-layer="1107" to-port="0" />
+		<edge from-layer="1103" from-port="0" to-layer="1104" to-port="0" />
+		<edge from-layer="1104" from-port="1" to-layer="1106" to-port="0" />
+		<edge from-layer="1105" from-port="0" to-layer="1106" to-port="1" />
+		<edge from-layer="1106" from-port="2" to-layer="1107" to-port="1" />
+		<edge from-layer="1107" from-port="2" to-layer="1109" to-port="0" />
+		<edge from-layer="1108" from-port="0" to-layer="1109" to-port="1" />
+		<edge from-layer="1109" from-port="2" to-layer="1110" to-port="0" />
+		<edge from-layer="1110" from-port="2" to-layer="1173" to-port="0" />
+		<edge from-layer="1110" from-port="2" to-layer="1112" to-port="0" />
+		<edge from-layer="1110" from-port="2" to-layer="4230" to-port="1" />
+		<edge from-layer="1111" from-port="0" to-layer="1112" to-port="1" />
+		<edge from-layer="1112" from-port="2" to-layer="1114" to-port="0" />
+		<edge from-layer="1113" from-port="0" to-layer="1114" to-port="1" />
+		<edge from-layer="1114" from-port="2" to-layer="1116" to-port="0" />
+		<edge from-layer="1115" from-port="0" to-layer="1116" to-port="1" />
+		<edge from-layer="1116" from-port="2" to-layer="1118" to-port="0" />
+		<edge from-layer="1117" from-port="0" to-layer="1118" to-port="1" />
+		<edge from-layer="1118" from-port="2" to-layer="1120" to-port="0" />
+		<edge from-layer="1119" from-port="0" to-layer="1120" to-port="1" />
+		<edge from-layer="1120" from-port="2" to-layer="1121" to-port="0" />
+		<edge from-layer="1121" from-port="1" to-layer="1126" to-port="0" />
+		<edge from-layer="1122" from-port="0" to-layer="1126" to-port="1" />
+		<edge from-layer="1123" from-port="0" to-layer="1126" to-port="2" />
+		<edge from-layer="1124" from-port="0" to-layer="1126" to-port="3" />
+		<edge from-layer="1125" from-port="0" to-layer="1126" to-port="4" />
+		<edge from-layer="1126" from-port="5" to-layer="1131" to-port="0" />
+		<edge from-layer="1127" from-port="0" to-layer="1128" to-port="0" />
+		<edge from-layer="1128" from-port="1" to-layer="1130" to-port="0" />
+		<edge from-layer="1129" from-port="0" to-layer="1130" to-port="1" />
+		<edge from-layer="1130" from-port="2" to-layer="1131" to-port="1" />
+		<edge from-layer="1131" from-port="2" to-layer="1133" to-port="0" />
+		<edge from-layer="1132" from-port="0" to-layer="1133" to-port="1" />
+		<edge from-layer="1133" from-port="2" to-layer="1149" to-port="0" />
+		<edge from-layer="1134" from-port="0" to-layer="1135" to-port="0" />
+		<edge from-layer="1135" from-port="1" to-layer="1138" to-port="0" />
+		<edge from-layer="1136" from-port="0" to-layer="1137" to-port="0" />
+		<edge from-layer="1137" from-port="1" to-layer="1138" to-port="1" />
+		<edge from-layer="1138" from-port="2" to-layer="1140" to-port="0" />
+		<edge from-layer="1139" from-port="0" to-layer="1140" to-port="1" />
+		<edge from-layer="1140" from-port="2" to-layer="1141" to-port="0" />
+		<edge from-layer="1141" from-port="1" to-layer="1142" to-port="1" />
+		<edge from-layer="1142" from-port="2" to-layer="1144" to-port="0" />
+		<edge from-layer="1143" from-port="0" to-layer="1144" to-port="1" />
+		<edge from-layer="1144" from-port="2" to-layer="1146" to-port="0" />
+		<edge from-layer="1145" from-port="0" to-layer="1146" to-port="1" />
+		<edge from-layer="1146" from-port="2" to-layer="1148" to-port="0" />
+		<edge from-layer="1147" from-port="0" to-layer="1148" to-port="1" />
+		<edge from-layer="1148" from-port="2" to-layer="1149" to-port="1" />
+		<edge from-layer="1149" from-port="2" to-layer="1151" to-port="0" />
+		<edge from-layer="1150" from-port="0" to-layer="1151" to-port="1" />
+		<edge from-layer="1151" from-port="2" to-layer="1153" to-port="0" />
+		<edge from-layer="1152" from-port="0" to-layer="1153" to-port="1" />
+		<edge from-layer="1153" from-port="2" to-layer="1155" to-port="0" />
+		<edge from-layer="1154" from-port="0" to-layer="1155" to-port="1" />
+		<edge from-layer="1155" from-port="2" to-layer="1157" to-port="0" />
+		<edge from-layer="1156" from-port="0" to-layer="1157" to-port="1" />
+		<edge from-layer="1157" from-port="2" to-layer="1159" to-port="0" />
+		<edge from-layer="1158" from-port="0" to-layer="1159" to-port="1" />
+		<edge from-layer="1159" from-port="2" to-layer="1160" to-port="0" />
+		<edge from-layer="1160" from-port="1" to-layer="1165" to-port="0" />
+		<edge from-layer="1161" from-port="0" to-layer="1165" to-port="1" />
+		<edge from-layer="1162" from-port="0" to-layer="1165" to-port="2" />
+		<edge from-layer="1163" from-port="0" to-layer="1165" to-port="3" />
+		<edge from-layer="1164" from-port="0" to-layer="1165" to-port="4" />
+		<edge from-layer="1165" from-port="5" to-layer="1170" to-port="0" />
+		<edge from-layer="1166" from-port="0" to-layer="1167" to-port="0" />
+		<edge from-layer="1167" from-port="1" to-layer="1169" to-port="0" />
+		<edge from-layer="1168" from-port="0" to-layer="1169" to-port="1" />
+		<edge from-layer="1169" from-port="2" to-layer="1170" to-port="1" />
+		<edge from-layer="1170" from-port="2" to-layer="1172" to-port="0" />
+		<edge from-layer="1171" from-port="0" to-layer="1172" to-port="1" />
+		<edge from-layer="1172" from-port="2" to-layer="1173" to-port="1" />
+		<edge from-layer="1173" from-port="2" to-layer="1432" to-port="1" />
+		<edge from-layer="1173" from-port="2" to-layer="1175" to-port="0" />
+		<edge from-layer="1174" from-port="0" to-layer="1175" to-port="1" />
+		<edge from-layer="1175" from-port="2" to-layer="1177" to-port="0" />
+		<edge from-layer="1176" from-port="0" to-layer="1177" to-port="1" />
+		<edge from-layer="1177" from-port="2" to-layer="1179" to-port="0" />
+		<edge from-layer="1178" from-port="0" to-layer="1179" to-port="1" />
+		<edge from-layer="1179" from-port="2" to-layer="1181" to-port="0" />
+		<edge from-layer="1180" from-port="0" to-layer="1181" to-port="1" />
+		<edge from-layer="1181" from-port="2" to-layer="1183" to-port="0" />
+		<edge from-layer="1182" from-port="0" to-layer="1183" to-port="1" />
+		<edge from-layer="1183" from-port="2" to-layer="1188" to-port="0" />
+		<edge from-layer="1184" from-port="0" to-layer="1188" to-port="1" />
+		<edge from-layer="1185" from-port="0" to-layer="1188" to-port="2" />
+		<edge from-layer="1186" from-port="0" to-layer="1188" to-port="3" />
+		<edge from-layer="1187" from-port="0" to-layer="1188" to-port="4" />
+		<edge from-layer="1188" from-port="5" to-layer="1193" to-port="0" />
+		<edge from-layer="1189" from-port="0" to-layer="1190" to-port="0" />
+		<edge from-layer="1190" from-port="1" to-layer="1192" to-port="0" />
+		<edge from-layer="1191" from-port="0" to-layer="1192" to-port="1" />
+		<edge from-layer="1192" from-port="2" to-layer="1193" to-port="1" />
+		<edge from-layer="1193" from-port="2" to-layer="1195" to-port="0" />
+		<edge from-layer="1194" from-port="0" to-layer="1195" to-port="1" />
+		<edge from-layer="1195" from-port="2" to-layer="1197" to-port="0" />
+		<edge from-layer="1196" from-port="0" to-layer="1197" to-port="1" />
+		<edge from-layer="1197" from-port="2" to-layer="1199" to-port="0" />
+		<edge from-layer="1198" from-port="0" to-layer="1199" to-port="1" />
+		<edge from-layer="1199" from-port="2" to-layer="1285" to-port="1" />
+		<edge from-layer="1199" from-port="2" to-layer="1201" to-port="0" />
+		<edge from-layer="1200" from-port="0" to-layer="1201" to-port="1" />
+		<edge from-layer="1201" from-port="2" to-layer="1203" to-port="0" />
+		<edge from-layer="1202" from-port="0" to-layer="1203" to-port="1" />
+		<edge from-layer="1203" from-port="2" to-layer="1205" to-port="0" />
+		<edge from-layer="1204" from-port="0" to-layer="1205" to-port="1" />
+		<edge from-layer="1205" from-port="2" to-layer="1265" to-port="0" />
+		<edge from-layer="1205" from-port="2" to-layer="1214" to-port="0" />
+		<edge from-layer="1205" from-port="2" to-layer="1244" to-port="0" />
+		<edge from-layer="1206" from-port="0" to-layer="1207" to-port="0" />
+		<edge from-layer="1207" from-port="1" to-layer="1210" to-port="0" />
+		<edge from-layer="1208" from-port="0" to-layer="1209" to-port="0" />
+		<edge from-layer="1209" from-port="1" to-layer="1210" to-port="1" />
+		<edge from-layer="1210" from-port="2" to-layer="1212" to-port="0" />
+		<edge from-layer="1211" from-port="0" to-layer="1212" to-port="1" />
+		<edge from-layer="1212" from-port="2" to-layer="1213" to-port="0" />
+		<edge from-layer="1213" from-port="1" to-layer="1214" to-port="1" />
+		<edge from-layer="1214" from-port="2" to-layer="1216" to-port="0" />
+		<edge from-layer="1215" from-port="0" to-layer="1216" to-port="1" />
+		<edge from-layer="1216" from-port="2" to-layer="1218" to-port="0" />
+		<edge from-layer="1217" from-port="0" to-layer="1218" to-port="1" />
+		<edge from-layer="1218" from-port="2" to-layer="1220" to-port="0" />
+		<edge from-layer="1218" from-port="2" to-layer="1230" to-port="0" />
+		<edge from-layer="1219" from-port="0" to-layer="1228" to-port="0" />
+		<edge from-layer="1220" from-port="1" to-layer="1225" to-port="0" />
+		<edge from-layer="1221" from-port="0" to-layer="1225" to-port="1" />
+		<edge from-layer="1222" from-port="0" to-layer="1225" to-port="2" />
+		<edge from-layer="1223" from-port="0" to-layer="1225" to-port="3" />
+		<edge from-layer="1224" from-port="0" to-layer="1225" to-port="4" />
+		<edge from-layer="1225" from-port="5" to-layer="1226" to-port="0" />
+		<edge from-layer="1226" from-port="1" to-layer="1227" to-port="0" />
+		<edge from-layer="1227" from-port="1" to-layer="1228" to-port="1" />
+		<edge from-layer="1228" from-port="2" to-layer="1229" to-port="0" />
+		<edge from-layer="1229" from-port="1" to-layer="1249" to-port="1" />
+		<edge from-layer="1229" from-port="1" to-layer="1230" to-port="1" />
+		<edge from-layer="1230" from-port="2" to-layer="1235" to-port="0" />
+		<edge from-layer="1231" from-port="0" to-layer="1235" to-port="1" />
+		<edge from-layer="1232" from-port="0" to-layer="1235" to-port="2" />
+		<edge from-layer="1233" from-port="0" to-layer="1235" to-port="3" />
+		<edge from-layer="1234" from-port="0" to-layer="1235" to-port="4" />
+		<edge from-layer="1235" from-port="5" to-layer="1255" to-port="0" />
+		<edge from-layer="1236" from-port="0" to-layer="1237" to-port="0" />
+		<edge from-layer="1237" from-port="1" to-layer="1240" to-port="0" />
+		<edge from-layer="1238" from-port="0" to-layer="1239" to-port="0" />
+		<edge from-layer="1239" from-port="1" to-layer="1240" to-port="1" />
+		<edge from-layer="1240" from-port="2" to-layer="1242" to-port="0" />
+		<edge from-layer="1241" from-port="0" to-layer="1242" to-port="1" />
+		<edge from-layer="1242" from-port="2" to-layer="1243" to-port="0" />
+		<edge from-layer="1243" from-port="1" to-layer="1244" to-port="1" />
+		<edge from-layer="1244" from-port="2" to-layer="1246" to-port="0" />
+		<edge from-layer="1245" from-port="0" to-layer="1246" to-port="1" />
+		<edge from-layer="1246" from-port="2" to-layer="1248" to-port="0" />
+		<edge from-layer="1247" from-port="0" to-layer="1248" to-port="1" />
+		<edge from-layer="1248" from-port="2" to-layer="1249" to-port="0" />
+		<edge from-layer="1249" from-port="2" to-layer="1254" to-port="0" />
+		<edge from-layer="1250" from-port="0" to-layer="1254" to-port="1" />
+		<edge from-layer="1251" from-port="0" to-layer="1254" to-port="2" />
+		<edge from-layer="1252" from-port="0" to-layer="1254" to-port="3" />
+		<edge from-layer="1253" from-port="0" to-layer="1254" to-port="4" />
+		<edge from-layer="1254" from-port="5" to-layer="1255" to-port="1" />
+		<edge from-layer="1255" from-port="2" to-layer="1256" to-port="0" />
+		<edge from-layer="1256" from-port="1" to-layer="1270" to-port="0" />
+		<edge from-layer="1257" from-port="0" to-layer="1258" to-port="0" />
+		<edge from-layer="1258" from-port="1" to-layer="1261" to-port="0" />
+		<edge from-layer="1259" from-port="0" to-layer="1260" to-port="0" />
+		<edge from-layer="1260" from-port="1" to-layer="1261" to-port="1" />
+		<edge from-layer="1261" from-port="2" to-layer="1263" to-port="0" />
+		<edge from-layer="1262" from-port="0" to-layer="1263" to-port="1" />
+		<edge from-layer="1263" from-port="2" to-layer="1264" to-port="0" />
+		<edge from-layer="1264" from-port="1" to-layer="1265" to-port="1" />
+		<edge from-layer="1265" from-port="2" to-layer="1267" to-port="0" />
+		<edge from-layer="1266" from-port="0" to-layer="1267" to-port="1" />
+		<edge from-layer="1267" from-port="2" to-layer="1269" to-port="0" />
+		<edge from-layer="1268" from-port="0" to-layer="1269" to-port="1" />
+		<edge from-layer="1269" from-port="2" to-layer="1270" to-port="1" />
+		<edge from-layer="1270" from-port="2" to-layer="1272" to-port="0" />
+		<edge from-layer="1271" from-port="0" to-layer="1272" to-port="1" />
+		<edge from-layer="1272" from-port="2" to-layer="1274" to-port="0" />
+		<edge from-layer="1273" from-port="0" to-layer="1274" to-port="1" />
+		<edge from-layer="1274" from-port="2" to-layer="1283" to-port="0" />
+		<edge from-layer="1275" from-port="0" to-layer="1276" to-port="0" />
+		<edge from-layer="1276" from-port="1" to-layer="1279" to-port="0" />
+		<edge from-layer="1277" from-port="0" to-layer="1278" to-port="0" />
+		<edge from-layer="1278" from-port="1" to-layer="1279" to-port="1" />
+		<edge from-layer="1279" from-port="2" to-layer="1281" to-port="0" />
+		<edge from-layer="1280" from-port="0" to-layer="1281" to-port="1" />
+		<edge from-layer="1281" from-port="2" to-layer="1282" to-port="0" />
+		<edge from-layer="1282" from-port="1" to-layer="1283" to-port="1" />
+		<edge from-layer="1283" from-port="2" to-layer="1284" to-port="1" />
+		<edge from-layer="1284" from-port="2" to-layer="1285" to-port="0" />
+		<edge from-layer="1285" from-port="2" to-layer="1371" to-port="1" />
+		<edge from-layer="1285" from-port="2" to-layer="1287" to-port="0" />
+		<edge from-layer="1286" from-port="0" to-layer="1287" to-port="1" />
+		<edge from-layer="1287" from-port="2" to-layer="1289" to-port="0" />
+		<edge from-layer="1288" from-port="0" to-layer="1289" to-port="1" />
+		<edge from-layer="1289" from-port="2" to-layer="1291" to-port="0" />
+		<edge from-layer="1290" from-port="0" to-layer="1291" to-port="1" />
+		<edge from-layer="1291" from-port="2" to-layer="1300" to-port="0" />
+		<edge from-layer="1292" from-port="0" to-layer="1293" to-port="0" />
+		<edge from-layer="1293" from-port="1" to-layer="1296" to-port="0" />
+		<edge from-layer="1294" from-port="0" to-layer="1295" to-port="0" />
+		<edge from-layer="1295" from-port="1" to-layer="1296" to-port="1" />
+		<edge from-layer="1296" from-port="2" to-layer="1298" to-port="0" />
+		<edge from-layer="1297" from-port="0" to-layer="1298" to-port="1" />
+		<edge from-layer="1298" from-port="2" to-layer="1299" to-port="0" />
+		<edge from-layer="1299" from-port="1" to-layer="1300" to-port="1" />
+		<edge from-layer="1300" from-port="2" to-layer="1302" to-port="0" />
+		<edge from-layer="1301" from-port="0" to-layer="1302" to-port="1" />
+		<edge from-layer="1302" from-port="2" to-layer="1304" to-port="0" />
+		<edge from-layer="1303" from-port="0" to-layer="1304" to-port="1" />
+		<edge from-layer="1304" from-port="2" to-layer="1306" to-port="0" />
+		<edge from-layer="1304" from-port="2" to-layer="1316" to-port="0" />
+		<edge from-layer="1305" from-port="0" to-layer="1314" to-port="0" />
+		<edge from-layer="1306" from-port="1" to-layer="1311" to-port="0" />
+		<edge from-layer="1307" from-port="0" to-layer="1311" to-port="1" />
+		<edge from-layer="1308" from-port="0" to-layer="1311" to-port="2" />
+		<edge from-layer="1309" from-port="0" to-layer="1311" to-port="3" />
+		<edge from-layer="1310" from-port="0" to-layer="1311" to-port="4" />
+		<edge from-layer="1311" from-port="5" to-layer="1312" to-port="0" />
+		<edge from-layer="1312" from-port="1" to-layer="1313" to-port="0" />
+		<edge from-layer="1313" from-port="1" to-layer="1314" to-port="1" />
+		<edge from-layer="1314" from-port="2" to-layer="1315" to-port="0" />
+		<edge from-layer="1315" from-port="1" to-layer="1335" to-port="1" />
+		<edge from-layer="1315" from-port="1" to-layer="1316" to-port="1" />
+		<edge from-layer="1316" from-port="2" to-layer="1321" to-port="0" />
+		<edge from-layer="1317" from-port="0" to-layer="1321" to-port="1" />
+		<edge from-layer="1318" from-port="0" to-layer="1321" to-port="2" />
+		<edge from-layer="1319" from-port="0" to-layer="1321" to-port="3" />
+		<edge from-layer="1320" from-port="0" to-layer="1321" to-port="4" />
+		<edge from-layer="1321" from-port="5" to-layer="1341" to-port="0" />
+		<edge from-layer="1322" from-port="0" to-layer="1323" to-port="0" />
+		<edge from-layer="1323" from-port="1" to-layer="1326" to-port="0" />
+		<edge from-layer="1324" from-port="0" to-layer="1325" to-port="0" />
+		<edge from-layer="1325" from-port="1" to-layer="1326" to-port="1" />
+		<edge from-layer="1326" from-port="2" to-layer="1328" to-port="0" />
+		<edge from-layer="1327" from-port="0" to-layer="1328" to-port="1" />
+		<edge from-layer="1328" from-port="2" to-layer="1329" to-port="0" />
+		<edge from-layer="1329" from-port="1" to-layer="1330" to-port="1" />
+		<edge from-layer="1330" from-port="2" to-layer="1332" to-port="0" />
+		<edge from-layer="1331" from-port="0" to-layer="1332" to-port="1" />
+		<edge from-layer="1332" from-port="2" to-layer="1334" to-port="0" />
+		<edge from-layer="1333" from-port="0" to-layer="1334" to-port="1" />
+		<edge from-layer="1334" from-port="2" to-layer="1335" to-port="0" />
+		<edge from-layer="1335" from-port="2" to-layer="1340" to-port="0" />
+		<edge from-layer="1336" from-port="0" to-layer="1340" to-port="1" />
+		<edge from-layer="1337" from-port="0" to-layer="1340" to-port="2" />
+		<edge from-layer="1338" from-port="0" to-layer="1340" to-port="3" />
+		<edge from-layer="1339" from-port="0" to-layer="1340" to-port="4" />
+		<edge from-layer="1340" from-port="5" to-layer="1341" to-port="1" />
+		<edge from-layer="1341" from-port="2" to-layer="1342" to-port="0" />
+		<edge from-layer="1342" from-port="1" to-layer="1356" to-port="0" />
+		<edge from-layer="1343" from-port="0" to-layer="1344" to-port="0" />
+		<edge from-layer="1344" from-port="1" to-layer="1347" to-port="0" />
+		<edge from-layer="1345" from-port="0" to-layer="1346" to-port="0" />
+		<edge from-layer="1346" from-port="1" to-layer="1347" to-port="1" />
+		<edge from-layer="1347" from-port="2" to-layer="1349" to-port="0" />
+		<edge from-layer="1348" from-port="0" to-layer="1349" to-port="1" />
+		<edge from-layer="1349" from-port="2" to-layer="1350" to-port="0" />
+		<edge from-layer="1350" from-port="1" to-layer="1351" to-port="1" />
+		<edge from-layer="1351" from-port="2" to-layer="1353" to-port="0" />
+		<edge from-layer="1352" from-port="0" to-layer="1353" to-port="1" />
+		<edge from-layer="1353" from-port="2" to-layer="1355" to-port="0" />
+		<edge from-layer="1354" from-port="0" to-layer="1355" to-port="1" />
+		<edge from-layer="1355" from-port="2" to-layer="1356" to-port="1" />
+		<edge from-layer="1356" from-port="2" to-layer="1358" to-port="0" />
+		<edge from-layer="1357" from-port="0" to-layer="1358" to-port="1" />
+		<edge from-layer="1358" from-port="2" to-layer="1360" to-port="0" />
+		<edge from-layer="1359" from-port="0" to-layer="1360" to-port="1" />
+		<edge from-layer="1360" from-port="2" to-layer="1369" to-port="0" />
+		<edge from-layer="1361" from-port="0" to-layer="1362" to-port="0" />
+		<edge from-layer="1362" from-port="1" to-layer="1365" to-port="0" />
+		<edge from-layer="1363" from-port="0" to-layer="1364" to-port="0" />
+		<edge from-layer="1364" from-port="1" to-layer="1365" to-port="1" />
+		<edge from-layer="1365" from-port="2" to-layer="1367" to-port="0" />
+		<edge from-layer="1366" from-port="0" to-layer="1367" to-port="1" />
+		<edge from-layer="1367" from-port="2" to-layer="1368" to-port="0" />
+		<edge from-layer="1368" from-port="1" to-layer="1369" to-port="1" />
+		<edge from-layer="1369" from-port="2" to-layer="1370" to-port="1" />
+		<edge from-layer="1370" from-port="2" to-layer="1371" to-port="0" />
+		<edge from-layer="1371" from-port="2" to-layer="1415" to-port="1" />
+		<edge from-layer="1371" from-port="2" to-layer="1373" to-port="0" />
+		<edge from-layer="1372" from-port="0" to-layer="1373" to-port="1" />
+		<edge from-layer="1373" from-port="2" to-layer="1375" to-port="0" />
+		<edge from-layer="1374" from-port="0" to-layer="1375" to-port="1" />
+		<edge from-layer="1375" from-port="2" to-layer="1377" to-port="0" />
+		<edge from-layer="1376" from-port="0" to-layer="1377" to-port="1" />
+		<edge from-layer="1377" from-port="2" to-layer="1386" to-port="0" />
+		<edge from-layer="1378" from-port="0" to-layer="1379" to-port="0" />
+		<edge from-layer="1379" from-port="1" to-layer="1382" to-port="0" />
+		<edge from-layer="1380" from-port="0" to-layer="1381" to-port="0" />
+		<edge from-layer="1381" from-port="1" to-layer="1382" to-port="1" />
+		<edge from-layer="1382" from-port="2" to-layer="1384" to-port="0" />
+		<edge from-layer="1383" from-port="0" to-layer="1384" to-port="1" />
+		<edge from-layer="1384" from-port="2" to-layer="1385" to-port="0" />
+		<edge from-layer="1385" from-port="1" to-layer="1386" to-port="1" />
+		<edge from-layer="1386" from-port="2" to-layer="1387" to-port="1" />
+		<edge from-layer="1387" from-port="2" to-layer="1389" to-port="0" />
+		<edge from-layer="1387" from-port="2" to-layer="1402" to-port="0" />
+		<edge from-layer="1387" from-port="2" to-layer="1398" to-port="0" />
+		<edge from-layer="1388" from-port="0" to-layer="1398" to-port="1" />
+		<edge from-layer="1389" from-port="1" to-layer="1392" to-port="0" />
+		<edge from-layer="1390" from-port="0" to-layer="1398" to-port="4" />
+		<edge from-layer="1390" from-port="0" to-layer="1392" to-port="1" />
+		<edge from-layer="1390" from-port="0" to-layer="1402" to-port="4" />
+		<edge from-layer="1391" from-port="0" to-layer="1392" to-port="2" />
+		<edge from-layer="1392" from-port="3" to-layer="1394" to-port="0" />
+		<edge from-layer="1393" from-port="0" to-layer="1394" to-port="1" />
+		<edge from-layer="1394" from-port="2" to-layer="1396" to-port="0" />
+		<edge from-layer="1395" from-port="0" to-layer="1396" to-port="1" />
+		<edge from-layer="1396" from-port="2" to-layer="1398" to-port="2" />
+		<edge from-layer="1396" from-port="2" to-layer="1400" to-port="0" />
+		<edge from-layer="1396" from-port="2" to-layer="1402" to-port="1" />
+		<edge from-layer="1397" from-port="0" to-layer="1398" to-port="3" />
+		<edge from-layer="1398" from-port="5" to-layer="1404" to-port="0" />
+		<edge from-layer="1399" from-port="0" to-layer="1400" to-port="1" />
+		<edge from-layer="1400" from-port="2" to-layer="1402" to-port="2" />
+		<edge from-layer="1401" from-port="0" to-layer="1402" to-port="3" />
+		<edge from-layer="1402" from-port="5" to-layer="1403" to-port="0" />
+		<edge from-layer="1403" from-port="1" to-layer="1404" to-port="1" />
+		<edge from-layer="1404" from-port="2" to-layer="1413" to-port="0" />
+		<edge from-layer="1405" from-port="0" to-layer="1406" to-port="0" />
+		<edge from-layer="1406" from-port="1" to-layer="1409" to-port="0" />
+		<edge from-layer="1407" from-port="0" to-layer="1408" to-port="0" />
+		<edge from-layer="1408" from-port="1" to-layer="1409" to-port="1" />
+		<edge from-layer="1409" from-port="2" to-layer="1411" to-port="0" />
+		<edge from-layer="1410" from-port="0" to-layer="1411" to-port="1" />
+		<edge from-layer="1411" from-port="2" to-layer="1412" to-port="0" />
+		<edge from-layer="1412" from-port="1" to-layer="1413" to-port="1" />
+		<edge from-layer="1413" from-port="2" to-layer="1414" to-port="1" />
+		<edge from-layer="1414" from-port="2" to-layer="1415" to-port="0" />
+		<edge from-layer="1415" from-port="2" to-layer="1420" to-port="0" />
+		<edge from-layer="1416" from-port="0" to-layer="1420" to-port="1" />
+		<edge from-layer="1417" from-port="0" to-layer="1420" to-port="2" />
+		<edge from-layer="1418" from-port="0" to-layer="1420" to-port="3" />
+		<edge from-layer="1419" from-port="0" to-layer="1420" to-port="4" />
+		<edge from-layer="1420" from-port="5" to-layer="1422" to-port="0" />
+		<edge from-layer="1421" from-port="0" to-layer="1422" to-port="1" />
+		<edge from-layer="1422" from-port="2" to-layer="1424" to-port="0" />
+		<edge from-layer="1423" from-port="0" to-layer="1424" to-port="1" />
+		<edge from-layer="1424" from-port="2" to-layer="1429" to-port="0" />
+		<edge from-layer="1425" from-port="0" to-layer="1426" to-port="0" />
+		<edge from-layer="1426" from-port="1" to-layer="1428" to-port="0" />
+		<edge from-layer="1427" from-port="0" to-layer="1428" to-port="1" />
+		<edge from-layer="1428" from-port="2" to-layer="1429" to-port="1" />
+		<edge from-layer="1429" from-port="2" to-layer="1431" to-port="0" />
+		<edge from-layer="1430" from-port="0" to-layer="1431" to-port="1" />
+		<edge from-layer="1431" from-port="2" to-layer="1432" to-port="0" />
+		<edge from-layer="1432" from-port="2" to-layer="3895" to-port="1" />
+		<edge from-layer="1432" from-port="2" to-layer="1437" to-port="0" />
+		<edge from-layer="1433" from-port="0" to-layer="1437" to-port="1" />
+		<edge from-layer="1434" from-port="0" to-layer="1437" to-port="2" />
+		<edge from-layer="1435" from-port="0" to-layer="1437" to-port="3" />
+		<edge from-layer="1436" from-port="0" to-layer="1437" to-port="4" />
+		<edge from-layer="1437" from-port="5" to-layer="1442" to-port="0" />
+		<edge from-layer="1438" from-port="0" to-layer="1439" to-port="0" />
+		<edge from-layer="1439" from-port="1" to-layer="1441" to-port="0" />
+		<edge from-layer="1440" from-port="0" to-layer="1441" to-port="1" />
+		<edge from-layer="1441" from-port="2" to-layer="1442" to-port="1" />
+		<edge from-layer="1442" from-port="2" to-layer="1444" to-port="0" />
+		<edge from-layer="1443" from-port="0" to-layer="1444" to-port="1" />
+		<edge from-layer="1444" from-port="2" to-layer="1449" to-port="0" />
+		<edge from-layer="1444" from-port="2" to-layer="3541" to-port="1" />
+		<edge from-layer="1444" from-port="2" to-layer="1458" to-port="0" />
+		<edge from-layer="1445" from-port="0" to-layer="1449" to-port="1" />
+		<edge from-layer="1446" from-port="0" to-layer="1449" to-port="2" />
+		<edge from-layer="1447" from-port="0" to-layer="1449" to-port="3" />
+		<edge from-layer="1448" from-port="0" to-layer="1449" to-port="4" />
+		<edge from-layer="1449" from-port="5" to-layer="1454" to-port="0" />
+		<edge from-layer="1450" from-port="0" to-layer="1451" to-port="0" />
+		<edge from-layer="1451" from-port="1" to-layer="1453" to-port="0" />
+		<edge from-layer="1452" from-port="0" to-layer="1453" to-port="1" />
+		<edge from-layer="1453" from-port="2" to-layer="1454" to-port="1" />
+		<edge from-layer="1454" from-port="2" to-layer="1456" to-port="0" />
+		<edge from-layer="1455" from-port="0" to-layer="1456" to-port="1" />
+		<edge from-layer="1456" from-port="2" to-layer="1519" to-port="0" />
+		<edge from-layer="1457" from-port="0" to-layer="1458" to-port="1" />
+		<edge from-layer="1458" from-port="2" to-layer="1460" to-port="0" />
+		<edge from-layer="1459" from-port="0" to-layer="1460" to-port="1" />
+		<edge from-layer="1460" from-port="2" to-layer="1462" to-port="0" />
+		<edge from-layer="1461" from-port="0" to-layer="1462" to-port="1" />
+		<edge from-layer="1462" from-port="2" to-layer="1464" to-port="0" />
+		<edge from-layer="1463" from-port="0" to-layer="1464" to-port="1" />
+		<edge from-layer="1464" from-port="2" to-layer="1466" to-port="0" />
+		<edge from-layer="1465" from-port="0" to-layer="1466" to-port="1" />
+		<edge from-layer="1466" from-port="2" to-layer="1467" to-port="0" />
+		<edge from-layer="1467" from-port="1" to-layer="1472" to-port="0" />
+		<edge from-layer="1468" from-port="0" to-layer="1472" to-port="1" />
+		<edge from-layer="1469" from-port="0" to-layer="1472" to-port="2" />
+		<edge from-layer="1470" from-port="0" to-layer="1472" to-port="3" />
+		<edge from-layer="1471" from-port="0" to-layer="1472" to-port="4" />
+		<edge from-layer="1472" from-port="5" to-layer="1477" to-port="0" />
+		<edge from-layer="1473" from-port="0" to-layer="1474" to-port="0" />
+		<edge from-layer="1474" from-port="1" to-layer="1476" to-port="0" />
+		<edge from-layer="1475" from-port="0" to-layer="1476" to-port="1" />
+		<edge from-layer="1476" from-port="2" to-layer="1477" to-port="1" />
+		<edge from-layer="1477" from-port="2" to-layer="1479" to-port="0" />
+		<edge from-layer="1478" from-port="0" to-layer="1479" to-port="1" />
+		<edge from-layer="1479" from-port="2" to-layer="1495" to-port="0" />
+		<edge from-layer="1480" from-port="0" to-layer="1481" to-port="0" />
+		<edge from-layer="1481" from-port="1" to-layer="1484" to-port="0" />
+		<edge from-layer="1482" from-port="0" to-layer="1483" to-port="0" />
+		<edge from-layer="1483" from-port="1" to-layer="1484" to-port="1" />
+		<edge from-layer="1484" from-port="2" to-layer="1486" to-port="0" />
+		<edge from-layer="1485" from-port="0" to-layer="1486" to-port="1" />
+		<edge from-layer="1486" from-port="2" to-layer="1487" to-port="0" />
+		<edge from-layer="1487" from-port="1" to-layer="1488" to-port="1" />
+		<edge from-layer="1488" from-port="2" to-layer="1490" to-port="0" />
+		<edge from-layer="1489" from-port="0" to-layer="1490" to-port="1" />
+		<edge from-layer="1490" from-port="2" to-layer="1492" to-port="0" />
+		<edge from-layer="1491" from-port="0" to-layer="1492" to-port="1" />
+		<edge from-layer="1492" from-port="2" to-layer="1494" to-port="0" />
+		<edge from-layer="1493" from-port="0" to-layer="1494" to-port="1" />
+		<edge from-layer="1494" from-port="2" to-layer="1495" to-port="1" />
+		<edge from-layer="1495" from-port="2" to-layer="1497" to-port="0" />
+		<edge from-layer="1496" from-port="0" to-layer="1497" to-port="1" />
+		<edge from-layer="1497" from-port="2" to-layer="1499" to-port="0" />
+		<edge from-layer="1498" from-port="0" to-layer="1499" to-port="1" />
+		<edge from-layer="1499" from-port="2" to-layer="1501" to-port="0" />
+		<edge from-layer="1500" from-port="0" to-layer="1501" to-port="1" />
+		<edge from-layer="1501" from-port="2" to-layer="1503" to-port="0" />
+		<edge from-layer="1502" from-port="0" to-layer="1503" to-port="1" />
+		<edge from-layer="1503" from-port="2" to-layer="1505" to-port="0" />
+		<edge from-layer="1504" from-port="0" to-layer="1505" to-port="1" />
+		<edge from-layer="1505" from-port="2" to-layer="1506" to-port="0" />
+		<edge from-layer="1506" from-port="1" to-layer="1511" to-port="0" />
+		<edge from-layer="1507" from-port="0" to-layer="1511" to-port="1" />
+		<edge from-layer="1508" from-port="0" to-layer="1511" to-port="2" />
+		<edge from-layer="1509" from-port="0" to-layer="1511" to-port="3" />
+		<edge from-layer="1510" from-port="0" to-layer="1511" to-port="4" />
+		<edge from-layer="1511" from-port="5" to-layer="1516" to-port="0" />
+		<edge from-layer="1512" from-port="0" to-layer="1513" to-port="0" />
+		<edge from-layer="1513" from-port="1" to-layer="1515" to-port="0" />
+		<edge from-layer="1514" from-port="0" to-layer="1515" to-port="1" />
+		<edge from-layer="1515" from-port="2" to-layer="1516" to-port="1" />
+		<edge from-layer="1516" from-port="2" to-layer="1518" to-port="0" />
+		<edge from-layer="1517" from-port="0" to-layer="1518" to-port="1" />
+		<edge from-layer="1518" from-port="2" to-layer="1519" to-port="1" />
+		<edge from-layer="1519" from-port="2" to-layer="1778" to-port="1" />
+		<edge from-layer="1519" from-port="2" to-layer="1521" to-port="0" />
+		<edge from-layer="1520" from-port="0" to-layer="1521" to-port="1" />
+		<edge from-layer="1521" from-port="2" to-layer="1523" to-port="0" />
+		<edge from-layer="1522" from-port="0" to-layer="1523" to-port="1" />
+		<edge from-layer="1523" from-port="2" to-layer="1525" to-port="0" />
+		<edge from-layer="1524" from-port="0" to-layer="1525" to-port="1" />
+		<edge from-layer="1525" from-port="2" to-layer="1527" to-port="0" />
+		<edge from-layer="1526" from-port="0" to-layer="1527" to-port="1" />
+		<edge from-layer="1527" from-port="2" to-layer="1529" to-port="0" />
+		<edge from-layer="1528" from-port="0" to-layer="1529" to-port="1" />
+		<edge from-layer="1529" from-port="2" to-layer="1534" to-port="0" />
+		<edge from-layer="1530" from-port="0" to-layer="1534" to-port="1" />
+		<edge from-layer="1531" from-port="0" to-layer="1534" to-port="2" />
+		<edge from-layer="1532" from-port="0" to-layer="1534" to-port="3" />
+		<edge from-layer="1533" from-port="0" to-layer="1534" to-port="4" />
+		<edge from-layer="1534" from-port="5" to-layer="1539" to-port="0" />
+		<edge from-layer="1535" from-port="0" to-layer="1536" to-port="0" />
+		<edge from-layer="1536" from-port="1" to-layer="1538" to-port="0" />
+		<edge from-layer="1537" from-port="0" to-layer="1538" to-port="1" />
+		<edge from-layer="1538" from-port="2" to-layer="1539" to-port="1" />
+		<edge from-layer="1539" from-port="2" to-layer="1541" to-port="0" />
+		<edge from-layer="1540" from-port="0" to-layer="1541" to-port="1" />
+		<edge from-layer="1541" from-port="2" to-layer="1543" to-port="0" />
+		<edge from-layer="1542" from-port="0" to-layer="1543" to-port="1" />
+		<edge from-layer="1543" from-port="2" to-layer="1545" to-port="0" />
+		<edge from-layer="1544" from-port="0" to-layer="1545" to-port="1" />
+		<edge from-layer="1545" from-port="2" to-layer="1547" to-port="0" />
+		<edge from-layer="1545" from-port="2" to-layer="1631" to-port="1" />
+		<edge from-layer="1546" from-port="0" to-layer="1547" to-port="1" />
+		<edge from-layer="1547" from-port="2" to-layer="1549" to-port="0" />
+		<edge from-layer="1548" from-port="0" to-layer="1549" to-port="1" />
+		<edge from-layer="1549" from-port="2" to-layer="1551" to-port="0" />
+		<edge from-layer="1550" from-port="0" to-layer="1551" to-port="1" />
+		<edge from-layer="1551" from-port="2" to-layer="1590" to-port="0" />
+		<edge from-layer="1551" from-port="2" to-layer="1611" to-port="0" />
+		<edge from-layer="1551" from-port="2" to-layer="1560" to-port="0" />
+		<edge from-layer="1552" from-port="0" to-layer="1553" to-port="0" />
+		<edge from-layer="1553" from-port="1" to-layer="1556" to-port="0" />
+		<edge from-layer="1554" from-port="0" to-layer="1555" to-port="0" />
+		<edge from-layer="1555" from-port="1" to-layer="1556" to-port="1" />
+		<edge from-layer="1556" from-port="2" to-layer="1558" to-port="0" />
+		<edge from-layer="1557" from-port="0" to-layer="1558" to-port="1" />
+		<edge from-layer="1558" from-port="2" to-layer="1559" to-port="0" />
+		<edge from-layer="1559" from-port="1" to-layer="1560" to-port="1" />
+		<edge from-layer="1560" from-port="2" to-layer="1562" to-port="0" />
+		<edge from-layer="1561" from-port="0" to-layer="1562" to-port="1" />
+		<edge from-layer="1562" from-port="2" to-layer="1564" to-port="0" />
+		<edge from-layer="1563" from-port="0" to-layer="1564" to-port="1" />
+		<edge from-layer="1564" from-port="2" to-layer="1566" to-port="0" />
+		<edge from-layer="1564" from-port="2" to-layer="1576" to-port="0" />
+		<edge from-layer="1565" from-port="0" to-layer="1574" to-port="0" />
+		<edge from-layer="1566" from-port="1" to-layer="1571" to-port="0" />
+		<edge from-layer="1567" from-port="0" to-layer="1571" to-port="1" />
+		<edge from-layer="1568" from-port="0" to-layer="1571" to-port="2" />
+		<edge from-layer="1569" from-port="0" to-layer="1571" to-port="3" />
+		<edge from-layer="1570" from-port="0" to-layer="1571" to-port="4" />
+		<edge from-layer="1571" from-port="5" to-layer="1572" to-port="0" />
+		<edge from-layer="1572" from-port="1" to-layer="1573" to-port="0" />
+		<edge from-layer="1573" from-port="1" to-layer="1574" to-port="1" />
+		<edge from-layer="1574" from-port="2" to-layer="1575" to-port="0" />
+		<edge from-layer="1575" from-port="1" to-layer="1576" to-port="1" />
+		<edge from-layer="1575" from-port="1" to-layer="1595" to-port="1" />
+		<edge from-layer="1576" from-port="2" to-layer="1581" to-port="0" />
+		<edge from-layer="1577" from-port="0" to-layer="1581" to-port="1" />
+		<edge from-layer="1578" from-port="0" to-layer="1581" to-port="2" />
+		<edge from-layer="1579" from-port="0" to-layer="1581" to-port="3" />
+		<edge from-layer="1580" from-port="0" to-layer="1581" to-port="4" />
+		<edge from-layer="1581" from-port="5" to-layer="1601" to-port="0" />
+		<edge from-layer="1582" from-port="0" to-layer="1583" to-port="0" />
+		<edge from-layer="1583" from-port="1" to-layer="1586" to-port="0" />
+		<edge from-layer="1584" from-port="0" to-layer="1585" to-port="0" />
+		<edge from-layer="1585" from-port="1" to-layer="1586" to-port="1" />
+		<edge from-layer="1586" from-port="2" to-layer="1588" to-port="0" />
+		<edge from-layer="1587" from-port="0" to-layer="1588" to-port="1" />
+		<edge from-layer="1588" from-port="2" to-layer="1589" to-port="0" />
+		<edge from-layer="1589" from-port="1" to-layer="1590" to-port="1" />
+		<edge from-layer="1590" from-port="2" to-layer="1592" to-port="0" />
+		<edge from-layer="1591" from-port="0" to-layer="1592" to-port="1" />
+		<edge from-layer="1592" from-port="2" to-layer="1594" to-port="0" />
+		<edge from-layer="1593" from-port="0" to-layer="1594" to-port="1" />
+		<edge from-layer="1594" from-port="2" to-layer="1595" to-port="0" />
+		<edge from-layer="1595" from-port="2" to-layer="1600" to-port="0" />
+		<edge from-layer="1596" from-port="0" to-layer="1600" to-port="1" />
+		<edge from-layer="1597" from-port="0" to-layer="1600" to-port="2" />
+		<edge from-layer="1598" from-port="0" to-layer="1600" to-port="3" />
+		<edge from-layer="1599" from-port="0" to-layer="1600" to-port="4" />
+		<edge from-layer="1600" from-port="5" to-layer="1601" to-port="1" />
+		<edge from-layer="1601" from-port="2" to-layer="1602" to-port="0" />
+		<edge from-layer="1602" from-port="1" to-layer="1616" to-port="0" />
+		<edge from-layer="1603" from-port="0" to-layer="1604" to-port="0" />
+		<edge from-layer="1604" from-port="1" to-layer="1607" to-port="0" />
+		<edge from-layer="1605" from-port="0" to-layer="1606" to-port="0" />
+		<edge from-layer="1606" from-port="1" to-layer="1607" to-port="1" />
+		<edge from-layer="1607" from-port="2" to-layer="1609" to-port="0" />
+		<edge from-layer="1608" from-port="0" to-layer="1609" to-port="1" />
+		<edge from-layer="1609" from-port="2" to-layer="1610" to-port="0" />
+		<edge from-layer="1610" from-port="1" to-layer="1611" to-port="1" />
+		<edge from-layer="1611" from-port="2" to-layer="1613" to-port="0" />
+		<edge from-layer="1612" from-port="0" to-layer="1613" to-port="1" />
+		<edge from-layer="1613" from-port="2" to-layer="1615" to-port="0" />
+		<edge from-layer="1614" from-port="0" to-layer="1615" to-port="1" />
+		<edge from-layer="1615" from-port="2" to-layer="1616" to-port="1" />
+		<edge from-layer="1616" from-port="2" to-layer="1618" to-port="0" />
+		<edge from-layer="1617" from-port="0" to-layer="1618" to-port="1" />
+		<edge from-layer="1618" from-port="2" to-layer="1620" to-port="0" />
+		<edge from-layer="1619" from-port="0" to-layer="1620" to-port="1" />
+		<edge from-layer="1620" from-port="2" to-layer="1629" to-port="0" />
+		<edge from-layer="1621" from-port="0" to-layer="1622" to-port="0" />
+		<edge from-layer="1622" from-port="1" to-layer="1625" to-port="0" />
+		<edge from-layer="1623" from-port="0" to-layer="1624" to-port="0" />
+		<edge from-layer="1624" from-port="1" to-layer="1625" to-port="1" />
+		<edge from-layer="1625" from-port="2" to-layer="1627" to-port="0" />
+		<edge from-layer="1626" from-port="0" to-layer="1627" to-port="1" />
+		<edge from-layer="1627" from-port="2" to-layer="1628" to-port="0" />
+		<edge from-layer="1628" from-port="1" to-layer="1629" to-port="1" />
+		<edge from-layer="1629" from-port="2" to-layer="1630" to-port="1" />
+		<edge from-layer="1630" from-port="2" to-layer="1631" to-port="0" />
+		<edge from-layer="1631" from-port="2" to-layer="1633" to-port="0" />
+		<edge from-layer="1631" from-port="2" to-layer="1717" to-port="1" />
+		<edge from-layer="1632" from-port="0" to-layer="1633" to-port="1" />
+		<edge from-layer="1633" from-port="2" to-layer="1635" to-port="0" />
+		<edge from-layer="1634" from-port="0" to-layer="1635" to-port="1" />
+		<edge from-layer="1635" from-port="2" to-layer="1637" to-port="0" />
+		<edge from-layer="1636" from-port="0" to-layer="1637" to-port="1" />
+		<edge from-layer="1637" from-port="2" to-layer="1646" to-port="0" />
+		<edge from-layer="1638" from-port="0" to-layer="1639" to-port="0" />
+		<edge from-layer="1639" from-port="1" to-layer="1642" to-port="0" />
+		<edge from-layer="1640" from-port="0" to-layer="1641" to-port="0" />
+		<edge from-layer="1641" from-port="1" to-layer="1642" to-port="1" />
+		<edge from-layer="1642" from-port="2" to-layer="1644" to-port="0" />
+		<edge from-layer="1643" from-port="0" to-layer="1644" to-port="1" />
+		<edge from-layer="1644" from-port="2" to-layer="1645" to-port="0" />
+		<edge from-layer="1645" from-port="1" to-layer="1646" to-port="1" />
+		<edge from-layer="1646" from-port="2" to-layer="1648" to-port="0" />
+		<edge from-layer="1647" from-port="0" to-layer="1648" to-port="1" />
+		<edge from-layer="1648" from-port="2" to-layer="1650" to-port="0" />
+		<edge from-layer="1649" from-port="0" to-layer="1650" to-port="1" />
+		<edge from-layer="1650" from-port="2" to-layer="1652" to-port="0" />
+		<edge from-layer="1650" from-port="2" to-layer="1662" to-port="0" />
+		<edge from-layer="1651" from-port="0" to-layer="1660" to-port="0" />
+		<edge from-layer="1652" from-port="1" to-layer="1657" to-port="0" />
+		<edge from-layer="1653" from-port="0" to-layer="1657" to-port="1" />
+		<edge from-layer="1654" from-port="0" to-layer="1657" to-port="2" />
+		<edge from-layer="1655" from-port="0" to-layer="1657" to-port="3" />
+		<edge from-layer="1656" from-port="0" to-layer="1657" to-port="4" />
+		<edge from-layer="1657" from-port="5" to-layer="1658" to-port="0" />
+		<edge from-layer="1658" from-port="1" to-layer="1659" to-port="0" />
+		<edge from-layer="1659" from-port="1" to-layer="1660" to-port="1" />
+		<edge from-layer="1660" from-port="2" to-layer="1661" to-port="0" />
+		<edge from-layer="1661" from-port="1" to-layer="1662" to-port="1" />
+		<edge from-layer="1661" from-port="1" to-layer="1681" to-port="1" />
+		<edge from-layer="1662" from-port="2" to-layer="1667" to-port="0" />
+		<edge from-layer="1663" from-port="0" to-layer="1667" to-port="1" />
+		<edge from-layer="1664" from-port="0" to-layer="1667" to-port="2" />
+		<edge from-layer="1665" from-port="0" to-layer="1667" to-port="3" />
+		<edge from-layer="1666" from-port="0" to-layer="1667" to-port="4" />
+		<edge from-layer="1667" from-port="5" to-layer="1687" to-port="0" />
+		<edge from-layer="1668" from-port="0" to-layer="1669" to-port="0" />
+		<edge from-layer="1669" from-port="1" to-layer="1672" to-port="0" />
+		<edge from-layer="1670" from-port="0" to-layer="1671" to-port="0" />
+		<edge from-layer="1671" from-port="1" to-layer="1672" to-port="1" />
+		<edge from-layer="1672" from-port="2" to-layer="1674" to-port="0" />
+		<edge from-layer="1673" from-port="0" to-layer="1674" to-port="1" />
+		<edge from-layer="1674" from-port="2" to-layer="1675" to-port="0" />
+		<edge from-layer="1675" from-port="1" to-layer="1676" to-port="1" />
+		<edge from-layer="1676" from-port="2" to-layer="1678" to-port="0" />
+		<edge from-layer="1677" from-port="0" to-layer="1678" to-port="1" />
+		<edge from-layer="1678" from-port="2" to-layer="1680" to-port="0" />
+		<edge from-layer="1679" from-port="0" to-layer="1680" to-port="1" />
+		<edge from-layer="1680" from-port="2" to-layer="1681" to-port="0" />
+		<edge from-layer="1681" from-port="2" to-layer="1686" to-port="0" />
+		<edge from-layer="1682" from-port="0" to-layer="1686" to-port="1" />
+		<edge from-layer="1683" from-port="0" to-layer="1686" to-port="2" />
+		<edge from-layer="1684" from-port="0" to-layer="1686" to-port="3" />
+		<edge from-layer="1685" from-port="0" to-layer="1686" to-port="4" />
+		<edge from-layer="1686" from-port="5" to-layer="1687" to-port="1" />
+		<edge from-layer="1687" from-port="2" to-layer="1688" to-port="0" />
+		<edge from-layer="1688" from-port="1" to-layer="1702" to-port="0" />
+		<edge from-layer="1689" from-port="0" to-layer="1690" to-port="0" />
+		<edge from-layer="1690" from-port="1" to-layer="1693" to-port="0" />
+		<edge from-layer="1691" from-port="0" to-layer="1692" to-port="0" />
+		<edge from-layer="1692" from-port="1" to-layer="1693" to-port="1" />
+		<edge from-layer="1693" from-port="2" to-layer="1695" to-port="0" />
+		<edge from-layer="1694" from-port="0" to-layer="1695" to-port="1" />
+		<edge from-layer="1695" from-port="2" to-layer="1696" to-port="0" />
+		<edge from-layer="1696" from-port="1" to-layer="1697" to-port="1" />
+		<edge from-layer="1697" from-port="2" to-layer="1699" to-port="0" />
+		<edge from-layer="1698" from-port="0" to-layer="1699" to-port="1" />
+		<edge from-layer="1699" from-port="2" to-layer="1701" to-port="0" />
+		<edge from-layer="1700" from-port="0" to-layer="1701" to-port="1" />
+		<edge from-layer="1701" from-port="2" to-layer="1702" to-port="1" />
+		<edge from-layer="1702" from-port="2" to-layer="1704" to-port="0" />
+		<edge from-layer="1703" from-port="0" to-layer="1704" to-port="1" />
+		<edge from-layer="1704" from-port="2" to-layer="1706" to-port="0" />
+		<edge from-layer="1705" from-port="0" to-layer="1706" to-port="1" />
+		<edge from-layer="1706" from-port="2" to-layer="1715" to-port="0" />
+		<edge from-layer="1707" from-port="0" to-layer="1708" to-port="0" />
+		<edge from-layer="1708" from-port="1" to-layer="1711" to-port="0" />
+		<edge from-layer="1709" from-port="0" to-layer="1710" to-port="0" />
+		<edge from-layer="1710" from-port="1" to-layer="1711" to-port="1" />
+		<edge from-layer="1711" from-port="2" to-layer="1713" to-port="0" />
+		<edge from-layer="1712" from-port="0" to-layer="1713" to-port="1" />
+		<edge from-layer="1713" from-port="2" to-layer="1714" to-port="0" />
+		<edge from-layer="1714" from-port="1" to-layer="1715" to-port="1" />
+		<edge from-layer="1715" from-port="2" to-layer="1716" to-port="1" />
+		<edge from-layer="1716" from-port="2" to-layer="1717" to-port="0" />
+		<edge from-layer="1717" from-port="2" to-layer="1761" to-port="1" />
+		<edge from-layer="1717" from-port="2" to-layer="1719" to-port="0" />
+		<edge from-layer="1718" from-port="0" to-layer="1719" to-port="1" />
+		<edge from-layer="1719" from-port="2" to-layer="1721" to-port="0" />
+		<edge from-layer="1720" from-port="0" to-layer="1721" to-port="1" />
+		<edge from-layer="1721" from-port="2" to-layer="1723" to-port="0" />
+		<edge from-layer="1722" from-port="0" to-layer="1723" to-port="1" />
+		<edge from-layer="1723" from-port="2" to-layer="1732" to-port="0" />
+		<edge from-layer="1724" from-port="0" to-layer="1725" to-port="0" />
+		<edge from-layer="1725" from-port="1" to-layer="1728" to-port="0" />
+		<edge from-layer="1726" from-port="0" to-layer="1727" to-port="0" />
+		<edge from-layer="1727" from-port="1" to-layer="1728" to-port="1" />
+		<edge from-layer="1728" from-port="2" to-layer="1730" to-port="0" />
+		<edge from-layer="1729" from-port="0" to-layer="1730" to-port="1" />
+		<edge from-layer="1730" from-port="2" to-layer="1731" to-port="0" />
+		<edge from-layer="1731" from-port="1" to-layer="1732" to-port="1" />
+		<edge from-layer="1732" from-port="2" to-layer="1733" to-port="1" />
+		<edge from-layer="1733" from-port="2" to-layer="1748" to-port="0" />
+		<edge from-layer="1733" from-port="2" to-layer="1735" to-port="0" />
+		<edge from-layer="1733" from-port="2" to-layer="1744" to-port="0" />
+		<edge from-layer="1734" from-port="0" to-layer="1744" to-port="1" />
+		<edge from-layer="1735" from-port="1" to-layer="1738" to-port="0" />
+		<edge from-layer="1736" from-port="0" to-layer="1738" to-port="1" />
+		<edge from-layer="1736" from-port="0" to-layer="1744" to-port="4" />
+		<edge from-layer="1736" from-port="0" to-layer="1748" to-port="4" />
+		<edge from-layer="1737" from-port="0" to-layer="1738" to-port="2" />
+		<edge from-layer="1738" from-port="3" to-layer="1740" to-port="0" />
+		<edge from-layer="1739" from-port="0" to-layer="1740" to-port="1" />
+		<edge from-layer="1740" from-port="2" to-layer="1742" to-port="0" />
+		<edge from-layer="1741" from-port="0" to-layer="1742" to-port="1" />
+		<edge from-layer="1742" from-port="2" to-layer="1744" to-port="2" />
+		<edge from-layer="1742" from-port="2" to-layer="1746" to-port="0" />
+		<edge from-layer="1742" from-port="2" to-layer="1748" to-port="1" />
+		<edge from-layer="1743" from-port="0" to-layer="1744" to-port="3" />
+		<edge from-layer="1744" from-port="5" to-layer="1750" to-port="0" />
+		<edge from-layer="1745" from-port="0" to-layer="1746" to-port="1" />
+		<edge from-layer="1746" from-port="2" to-layer="1748" to-port="2" />
+		<edge from-layer="1747" from-port="0" to-layer="1748" to-port="3" />
+		<edge from-layer="1748" from-port="5" to-layer="1749" to-port="0" />
+		<edge from-layer="1749" from-port="1" to-layer="1750" to-port="1" />
+		<edge from-layer="1750" from-port="2" to-layer="1759" to-port="0" />
+		<edge from-layer="1751" from-port="0" to-layer="1752" to-port="0" />
+		<edge from-layer="1752" from-port="1" to-layer="1755" to-port="0" />
+		<edge from-layer="1753" from-port="0" to-layer="1754" to-port="0" />
+		<edge from-layer="1754" from-port="1" to-layer="1755" to-port="1" />
+		<edge from-layer="1755" from-port="2" to-layer="1757" to-port="0" />
+		<edge from-layer="1756" from-port="0" to-layer="1757" to-port="1" />
+		<edge from-layer="1757" from-port="2" to-layer="1758" to-port="0" />
+		<edge from-layer="1758" from-port="1" to-layer="1759" to-port="1" />
+		<edge from-layer="1759" from-port="2" to-layer="1760" to-port="1" />
+		<edge from-layer="1760" from-port="2" to-layer="1761" to-port="0" />
+		<edge from-layer="1761" from-port="2" to-layer="1766" to-port="0" />
+		<edge from-layer="1762" from-port="0" to-layer="1766" to-port="1" />
+		<edge from-layer="1763" from-port="0" to-layer="1766" to-port="2" />
+		<edge from-layer="1764" from-port="0" to-layer="1766" to-port="3" />
+		<edge from-layer="1765" from-port="0" to-layer="1766" to-port="4" />
+		<edge from-layer="1766" from-port="5" to-layer="1768" to-port="0" />
+		<edge from-layer="1767" from-port="0" to-layer="1768" to-port="1" />
+		<edge from-layer="1768" from-port="2" to-layer="1770" to-port="0" />
+		<edge from-layer="1769" from-port="0" to-layer="1770" to-port="1" />
+		<edge from-layer="1770" from-port="2" to-layer="1775" to-port="0" />
+		<edge from-layer="1771" from-port="0" to-layer="1772" to-port="0" />
+		<edge from-layer="1772" from-port="1" to-layer="1774" to-port="0" />
+		<edge from-layer="1773" from-port="0" to-layer="1774" to-port="1" />
+		<edge from-layer="1774" from-port="2" to-layer="1775" to-port="1" />
+		<edge from-layer="1775" from-port="2" to-layer="1777" to-port="0" />
+		<edge from-layer="1776" from-port="0" to-layer="1777" to-port="1" />
+		<edge from-layer="1777" from-port="2" to-layer="1778" to-port="0" />
+		<edge from-layer="1778" from-port="2" to-layer="3206" to-port="1" />
+		<edge from-layer="1778" from-port="2" to-layer="1780" to-port="0" />
+		<edge from-layer="1778" from-port="2" to-layer="1841" to-port="0" />
+		<edge from-layer="1779" from-port="0" to-layer="1780" to-port="1" />
+		<edge from-layer="1780" from-port="2" to-layer="1782" to-port="0" />
+		<edge from-layer="1781" from-port="0" to-layer="1782" to-port="1" />
+		<edge from-layer="1782" from-port="2" to-layer="1784" to-port="0" />
+		<edge from-layer="1783" from-port="0" to-layer="1784" to-port="1" />
+		<edge from-layer="1784" from-port="2" to-layer="1786" to-port="0" />
+		<edge from-layer="1785" from-port="0" to-layer="1786" to-port="1" />
+		<edge from-layer="1786" from-port="2" to-layer="1788" to-port="0" />
+		<edge from-layer="1787" from-port="0" to-layer="1788" to-port="1" />
+		<edge from-layer="1788" from-port="2" to-layer="1789" to-port="0" />
+		<edge from-layer="1789" from-port="1" to-layer="1794" to-port="0" />
+		<edge from-layer="1790" from-port="0" to-layer="1794" to-port="1" />
+		<edge from-layer="1791" from-port="0" to-layer="1794" to-port="2" />
+		<edge from-layer="1792" from-port="0" to-layer="1794" to-port="3" />
+		<edge from-layer="1793" from-port="0" to-layer="1794" to-port="4" />
+		<edge from-layer="1794" from-port="5" to-layer="1799" to-port="0" />
+		<edge from-layer="1795" from-port="0" to-layer="1796" to-port="0" />
+		<edge from-layer="1796" from-port="1" to-layer="1798" to-port="0" />
+		<edge from-layer="1797" from-port="0" to-layer="1798" to-port="1" />
+		<edge from-layer="1798" from-port="2" to-layer="1799" to-port="1" />
+		<edge from-layer="1799" from-port="2" to-layer="1801" to-port="0" />
+		<edge from-layer="1800" from-port="0" to-layer="1801" to-port="1" />
+		<edge from-layer="1801" from-port="2" to-layer="1817" to-port="0" />
+		<edge from-layer="1802" from-port="0" to-layer="1803" to-port="0" />
+		<edge from-layer="1803" from-port="1" to-layer="1806" to-port="0" />
+		<edge from-layer="1804" from-port="0" to-layer="1805" to-port="0" />
+		<edge from-layer="1805" from-port="1" to-layer="1806" to-port="1" />
+		<edge from-layer="1806" from-port="2" to-layer="1808" to-port="0" />
+		<edge from-layer="1807" from-port="0" to-layer="1808" to-port="1" />
+		<edge from-layer="1808" from-port="2" to-layer="1809" to-port="0" />
+		<edge from-layer="1809" from-port="1" to-layer="1810" to-port="1" />
+		<edge from-layer="1810" from-port="2" to-layer="1812" to-port="0" />
+		<edge from-layer="1811" from-port="0" to-layer="1812" to-port="1" />
+		<edge from-layer="1812" from-port="2" to-layer="1814" to-port="0" />
+		<edge from-layer="1813" from-port="0" to-layer="1814" to-port="1" />
+		<edge from-layer="1814" from-port="2" to-layer="1816" to-port="0" />
+		<edge from-layer="1815" from-port="0" to-layer="1816" to-port="1" />
+		<edge from-layer="1816" from-port="2" to-layer="1817" to-port="1" />
+		<edge from-layer="1817" from-port="2" to-layer="1819" to-port="0" />
+		<edge from-layer="1818" from-port="0" to-layer="1819" to-port="1" />
+		<edge from-layer="1819" from-port="2" to-layer="1821" to-port="0" />
+		<edge from-layer="1820" from-port="0" to-layer="1821" to-port="1" />
+		<edge from-layer="1821" from-port="2" to-layer="1823" to-port="0" />
+		<edge from-layer="1822" from-port="0" to-layer="1823" to-port="1" />
+		<edge from-layer="1823" from-port="2" to-layer="1825" to-port="0" />
+		<edge from-layer="1824" from-port="0" to-layer="1825" to-port="1" />
+		<edge from-layer="1825" from-port="2" to-layer="1827" to-port="0" />
+		<edge from-layer="1826" from-port="0" to-layer="1827" to-port="1" />
+		<edge from-layer="1827" from-port="2" to-layer="1828" to-port="0" />
+		<edge from-layer="1828" from-port="1" to-layer="1833" to-port="0" />
+		<edge from-layer="1829" from-port="0" to-layer="1833" to-port="1" />
+		<edge from-layer="1830" from-port="0" to-layer="1833" to-port="2" />
+		<edge from-layer="1831" from-port="0" to-layer="1833" to-port="3" />
+		<edge from-layer="1832" from-port="0" to-layer="1833" to-port="4" />
+		<edge from-layer="1833" from-port="5" to-layer="1838" to-port="0" />
+		<edge from-layer="1834" from-port="0" to-layer="1835" to-port="0" />
+		<edge from-layer="1835" from-port="1" to-layer="1837" to-port="0" />
+		<edge from-layer="1836" from-port="0" to-layer="1837" to-port="1" />
+		<edge from-layer="1837" from-port="2" to-layer="1838" to-port="1" />
+		<edge from-layer="1838" from-port="2" to-layer="1840" to-port="0" />
+		<edge from-layer="1839" from-port="0" to-layer="1840" to-port="1" />
+		<edge from-layer="1840" from-port="2" to-layer="1841" to-port="1" />
+		<edge from-layer="1841" from-port="2" to-layer="1843" to-port="0" />
+		<edge from-layer="1841" from-port="2" to-layer="2100" to-port="1" />
+		<edge from-layer="1842" from-port="0" to-layer="1843" to-port="1" />
+		<edge from-layer="1843" from-port="2" to-layer="1845" to-port="0" />
+		<edge from-layer="1844" from-port="0" to-layer="1845" to-port="1" />
+		<edge from-layer="1845" from-port="2" to-layer="1847" to-port="0" />
+		<edge from-layer="1846" from-port="0" to-layer="1847" to-port="1" />
+		<edge from-layer="1847" from-port="2" to-layer="1849" to-port="0" />
+		<edge from-layer="1848" from-port="0" to-layer="1849" to-port="1" />
+		<edge from-layer="1849" from-port="2" to-layer="1851" to-port="0" />
+		<edge from-layer="1850" from-port="0" to-layer="1851" to-port="1" />
+		<edge from-layer="1851" from-port="2" to-layer="1856" to-port="0" />
+		<edge from-layer="1852" from-port="0" to-layer="1856" to-port="1" />
+		<edge from-layer="1853" from-port="0" to-layer="1856" to-port="2" />
+		<edge from-layer="1854" from-port="0" to-layer="1856" to-port="3" />
+		<edge from-layer="1855" from-port="0" to-layer="1856" to-port="4" />
+		<edge from-layer="1856" from-port="5" to-layer="1861" to-port="0" />
+		<edge from-layer="1857" from-port="0" to-layer="1858" to-port="0" />
+		<edge from-layer="1858" from-port="1" to-layer="1860" to-port="0" />
+		<edge from-layer="1859" from-port="0" to-layer="1860" to-port="1" />
+		<edge from-layer="1860" from-port="2" to-layer="1861" to-port="1" />
+		<edge from-layer="1861" from-port="2" to-layer="1863" to-port="0" />
+		<edge from-layer="1862" from-port="0" to-layer="1863" to-port="1" />
+		<edge from-layer="1863" from-port="2" to-layer="1865" to-port="0" />
+		<edge from-layer="1864" from-port="0" to-layer="1865" to-port="1" />
+		<edge from-layer="1865" from-port="2" to-layer="1867" to-port="0" />
+		<edge from-layer="1866" from-port="0" to-layer="1867" to-port="1" />
+		<edge from-layer="1867" from-port="2" to-layer="1869" to-port="0" />
+		<edge from-layer="1867" from-port="2" to-layer="1953" to-port="1" />
+		<edge from-layer="1868" from-port="0" to-layer="1869" to-port="1" />
+		<edge from-layer="1869" from-port="2" to-layer="1871" to-port="0" />
+		<edge from-layer="1870" from-port="0" to-layer="1871" to-port="1" />
+		<edge from-layer="1871" from-port="2" to-layer="1873" to-port="0" />
+		<edge from-layer="1872" from-port="0" to-layer="1873" to-port="1" />
+		<edge from-layer="1873" from-port="2" to-layer="1882" to-port="0" />
+		<edge from-layer="1873" from-port="2" to-layer="1933" to-port="0" />
+		<edge from-layer="1873" from-port="2" to-layer="1912" to-port="0" />
+		<edge from-layer="1874" from-port="0" to-layer="1875" to-port="0" />
+		<edge from-layer="1875" from-port="1" to-layer="1878" to-port="0" />
+		<edge from-layer="1876" from-port="0" to-layer="1877" to-port="0" />
+		<edge from-layer="1877" from-port="1" to-layer="1878" to-port="1" />
+		<edge from-layer="1878" from-port="2" to-layer="1880" to-port="0" />
+		<edge from-layer="1879" from-port="0" to-layer="1880" to-port="1" />
+		<edge from-layer="1880" from-port="2" to-layer="1881" to-port="0" />
+		<edge from-layer="1881" from-port="1" to-layer="1882" to-port="1" />
+		<edge from-layer="1882" from-port="2" to-layer="1884" to-port="0" />
+		<edge from-layer="1883" from-port="0" to-layer="1884" to-port="1" />
+		<edge from-layer="1884" from-port="2" to-layer="1886" to-port="0" />
+		<edge from-layer="1885" from-port="0" to-layer="1886" to-port="1" />
+		<edge from-layer="1886" from-port="2" to-layer="1888" to-port="0" />
+		<edge from-layer="1886" from-port="2" to-layer="1898" to-port="0" />
+		<edge from-layer="1887" from-port="0" to-layer="1896" to-port="0" />
+		<edge from-layer="1888" from-port="1" to-layer="1893" to-port="0" />
+		<edge from-layer="1889" from-port="0" to-layer="1893" to-port="1" />
+		<edge from-layer="1890" from-port="0" to-layer="1893" to-port="2" />
+		<edge from-layer="1891" from-port="0" to-layer="1893" to-port="3" />
+		<edge from-layer="1892" from-port="0" to-layer="1893" to-port="4" />
+		<edge from-layer="1893" from-port="5" to-layer="1894" to-port="0" />
+		<edge from-layer="1894" from-port="1" to-layer="1895" to-port="0" />
+		<edge from-layer="1895" from-port="1" to-layer="1896" to-port="1" />
+		<edge from-layer="1896" from-port="2" to-layer="1897" to-port="0" />
+		<edge from-layer="1897" from-port="1" to-layer="1917" to-port="1" />
+		<edge from-layer="1897" from-port="1" to-layer="1898" to-port="1" />
+		<edge from-layer="1898" from-port="2" to-layer="1903" to-port="0" />
+		<edge from-layer="1899" from-port="0" to-layer="1903" to-port="1" />
+		<edge from-layer="1900" from-port="0" to-layer="1903" to-port="2" />
+		<edge from-layer="1901" from-port="0" to-layer="1903" to-port="3" />
+		<edge from-layer="1902" from-port="0" to-layer="1903" to-port="4" />
+		<edge from-layer="1903" from-port="5" to-layer="1923" to-port="0" />
+		<edge from-layer="1904" from-port="0" to-layer="1905" to-port="0" />
+		<edge from-layer="1905" from-port="1" to-layer="1908" to-port="0" />
+		<edge from-layer="1906" from-port="0" to-layer="1907" to-port="0" />
+		<edge from-layer="1907" from-port="1" to-layer="1908" to-port="1" />
+		<edge from-layer="1908" from-port="2" to-layer="1910" to-port="0" />
+		<edge from-layer="1909" from-port="0" to-layer="1910" to-port="1" />
+		<edge from-layer="1910" from-port="2" to-layer="1911" to-port="0" />
+		<edge from-layer="1911" from-port="1" to-layer="1912" to-port="1" />
+		<edge from-layer="1912" from-port="2" to-layer="1914" to-port="0" />
+		<edge from-layer="1913" from-port="0" to-layer="1914" to-port="1" />
+		<edge from-layer="1914" from-port="2" to-layer="1916" to-port="0" />
+		<edge from-layer="1915" from-port="0" to-layer="1916" to-port="1" />
+		<edge from-layer="1916" from-port="2" to-layer="1917" to-port="0" />
+		<edge from-layer="1917" from-port="2" to-layer="1922" to-port="0" />
+		<edge from-layer="1918" from-port="0" to-layer="1922" to-port="1" />
+		<edge from-layer="1919" from-port="0" to-layer="1922" to-port="2" />
+		<edge from-layer="1920" from-port="0" to-layer="1922" to-port="3" />
+		<edge from-layer="1921" from-port="0" to-layer="1922" to-port="4" />
+		<edge from-layer="1922" from-port="5" to-layer="1923" to-port="1" />
+		<edge from-layer="1923" from-port="2" to-layer="1924" to-port="0" />
+		<edge from-layer="1924" from-port="1" to-layer="1938" to-port="0" />
+		<edge from-layer="1925" from-port="0" to-layer="1926" to-port="0" />
+		<edge from-layer="1926" from-port="1" to-layer="1929" to-port="0" />
+		<edge from-layer="1927" from-port="0" to-layer="1928" to-port="0" />
+		<edge from-layer="1928" from-port="1" to-layer="1929" to-port="1" />
+		<edge from-layer="1929" from-port="2" to-layer="1931" to-port="0" />
+		<edge from-layer="1930" from-port="0" to-layer="1931" to-port="1" />
+		<edge from-layer="1931" from-port="2" to-layer="1932" to-port="0" />
+		<edge from-layer="1932" from-port="1" to-layer="1933" to-port="1" />
+		<edge from-layer="1933" from-port="2" to-layer="1935" to-port="0" />
+		<edge from-layer="1934" from-port="0" to-layer="1935" to-port="1" />
+		<edge from-layer="1935" from-port="2" to-layer="1937" to-port="0" />
+		<edge from-layer="1936" from-port="0" to-layer="1937" to-port="1" />
+		<edge from-layer="1937" from-port="2" to-layer="1938" to-port="1" />
+		<edge from-layer="1938" from-port="2" to-layer="1940" to-port="0" />
+		<edge from-layer="1939" from-port="0" to-layer="1940" to-port="1" />
+		<edge from-layer="1940" from-port="2" to-layer="1942" to-port="0" />
+		<edge from-layer="1941" from-port="0" to-layer="1942" to-port="1" />
+		<edge from-layer="1942" from-port="2" to-layer="1951" to-port="0" />
+		<edge from-layer="1943" from-port="0" to-layer="1944" to-port="0" />
+		<edge from-layer="1944" from-port="1" to-layer="1947" to-port="0" />
+		<edge from-layer="1945" from-port="0" to-layer="1946" to-port="0" />
+		<edge from-layer="1946" from-port="1" to-layer="1947" to-port="1" />
+		<edge from-layer="1947" from-port="2" to-layer="1949" to-port="0" />
+		<edge from-layer="1948" from-port="0" to-layer="1949" to-port="1" />
+		<edge from-layer="1949" from-port="2" to-layer="1950" to-port="0" />
+		<edge from-layer="1950" from-port="1" to-layer="1951" to-port="1" />
+		<edge from-layer="1951" from-port="2" to-layer="1952" to-port="1" />
+		<edge from-layer="1952" from-port="2" to-layer="1953" to-port="0" />
+		<edge from-layer="1953" from-port="2" to-layer="1955" to-port="0" />
+		<edge from-layer="1953" from-port="2" to-layer="2039" to-port="1" />
+		<edge from-layer="1954" from-port="0" to-layer="1955" to-port="1" />
+		<edge from-layer="1955" from-port="2" to-layer="1957" to-port="0" />
+		<edge from-layer="1956" from-port="0" to-layer="1957" to-port="1" />
+		<edge from-layer="1957" from-port="2" to-layer="1959" to-port="0" />
+		<edge from-layer="1958" from-port="0" to-layer="1959" to-port="1" />
+		<edge from-layer="1959" from-port="2" to-layer="1968" to-port="0" />
+		<edge from-layer="1960" from-port="0" to-layer="1961" to-port="0" />
+		<edge from-layer="1961" from-port="1" to-layer="1964" to-port="0" />
+		<edge from-layer="1962" from-port="0" to-layer="1963" to-port="0" />
+		<edge from-layer="1963" from-port="1" to-layer="1964" to-port="1" />
+		<edge from-layer="1964" from-port="2" to-layer="1966" to-port="0" />
+		<edge from-layer="1965" from-port="0" to-layer="1966" to-port="1" />
+		<edge from-layer="1966" from-port="2" to-layer="1967" to-port="0" />
+		<edge from-layer="1967" from-port="1" to-layer="1968" to-port="1" />
+		<edge from-layer="1968" from-port="2" to-layer="1970" to-port="0" />
+		<edge from-layer="1969" from-port="0" to-layer="1970" to-port="1" />
+		<edge from-layer="1970" from-port="2" to-layer="1972" to-port="0" />
+		<edge from-layer="1971" from-port="0" to-layer="1972" to-port="1" />
+		<edge from-layer="1972" from-port="2" to-layer="1984" to-port="0" />
+		<edge from-layer="1972" from-port="2" to-layer="1974" to-port="0" />
+		<edge from-layer="1973" from-port="0" to-layer="1982" to-port="0" />
+		<edge from-layer="1974" from-port="1" to-layer="1979" to-port="0" />
+		<edge from-layer="1975" from-port="0" to-layer="1979" to-port="1" />
+		<edge from-layer="1976" from-port="0" to-layer="1979" to-port="2" />
+		<edge from-layer="1977" from-port="0" to-layer="1979" to-port="3" />
+		<edge from-layer="1978" from-port="0" to-layer="1979" to-port="4" />
+		<edge from-layer="1979" from-port="5" to-layer="1980" to-port="0" />
+		<edge from-layer="1980" from-port="1" to-layer="1981" to-port="0" />
+		<edge from-layer="1981" from-port="1" to-layer="1982" to-port="1" />
+		<edge from-layer="1982" from-port="2" to-layer="1983" to-port="0" />
+		<edge from-layer="1983" from-port="1" to-layer="1984" to-port="1" />
+		<edge from-layer="1983" from-port="1" to-layer="2003" to-port="1" />
+		<edge from-layer="1984" from-port="2" to-layer="1989" to-port="0" />
+		<edge from-layer="1985" from-port="0" to-layer="1989" to-port="1" />
+		<edge from-layer="1986" from-port="0" to-layer="1989" to-port="2" />
+		<edge from-layer="1987" from-port="0" to-layer="1989" to-port="3" />
+		<edge from-layer="1988" from-port="0" to-layer="1989" to-port="4" />
+		<edge from-layer="1989" from-port="5" to-layer="2009" to-port="0" />
+		<edge from-layer="1990" from-port="0" to-layer="1991" to-port="0" />
+		<edge from-layer="1991" from-port="1" to-layer="1994" to-port="0" />
+		<edge from-layer="1992" from-port="0" to-layer="1993" to-port="0" />
+		<edge from-layer="1993" from-port="1" to-layer="1994" to-port="1" />
+		<edge from-layer="1994" from-port="2" to-layer="1996" to-port="0" />
+		<edge from-layer="1995" from-port="0" to-layer="1996" to-port="1" />
+		<edge from-layer="1996" from-port="2" to-layer="1997" to-port="0" />
+		<edge from-layer="1997" from-port="1" to-layer="1998" to-port="1" />
+		<edge from-layer="1998" from-port="2" to-layer="2000" to-port="0" />
+		<edge from-layer="1999" from-port="0" to-layer="2000" to-port="1" />
+		<edge from-layer="2000" from-port="2" to-layer="2002" to-port="0" />
+		<edge from-layer="2001" from-port="0" to-layer="2002" to-port="1" />
+		<edge from-layer="2002" from-port="2" to-layer="2003" to-port="0" />
+		<edge from-layer="2003" from-port="2" to-layer="2008" to-port="0" />
+		<edge from-layer="2004" from-port="0" to-layer="2008" to-port="1" />
+		<edge from-layer="2005" from-port="0" to-layer="2008" to-port="2" />
+		<edge from-layer="2006" from-port="0" to-layer="2008" to-port="3" />
+		<edge from-layer="2007" from-port="0" to-layer="2008" to-port="4" />
+		<edge from-layer="2008" from-port="5" to-layer="2009" to-port="1" />
+		<edge from-layer="2009" from-port="2" to-layer="2010" to-port="0" />
+		<edge from-layer="2010" from-port="1" to-layer="2024" to-port="0" />
+		<edge from-layer="2011" from-port="0" to-layer="2012" to-port="0" />
+		<edge from-layer="2012" from-port="1" to-layer="2015" to-port="0" />
+		<edge from-layer="2013" from-port="0" to-layer="2014" to-port="0" />
+		<edge from-layer="2014" from-port="1" to-layer="2015" to-port="1" />
+		<edge from-layer="2015" from-port="2" to-layer="2017" to-port="0" />
+		<edge from-layer="2016" from-port="0" to-layer="2017" to-port="1" />
+		<edge from-layer="2017" from-port="2" to-layer="2018" to-port="0" />
+		<edge from-layer="2018" from-port="1" to-layer="2019" to-port="1" />
+		<edge from-layer="2019" from-port="2" to-layer="2021" to-port="0" />
+		<edge from-layer="2020" from-port="0" to-layer="2021" to-port="1" />
+		<edge from-layer="2021" from-port="2" to-layer="2023" to-port="0" />
+		<edge from-layer="2022" from-port="0" to-layer="2023" to-port="1" />
+		<edge from-layer="2023" from-port="2" to-layer="2024" to-port="1" />
+		<edge from-layer="2024" from-port="2" to-layer="2026" to-port="0" />
+		<edge from-layer="2025" from-port="0" to-layer="2026" to-port="1" />
+		<edge from-layer="2026" from-port="2" to-layer="2028" to-port="0" />
+		<edge from-layer="2027" from-port="0" to-layer="2028" to-port="1" />
+		<edge from-layer="2028" from-port="2" to-layer="2037" to-port="0" />
+		<edge from-layer="2029" from-port="0" to-layer="2030" to-port="0" />
+		<edge from-layer="2030" from-port="1" to-layer="2033" to-port="0" />
+		<edge from-layer="2031" from-port="0" to-layer="2032" to-port="0" />
+		<edge from-layer="2032" from-port="1" to-layer="2033" to-port="1" />
+		<edge from-layer="2033" from-port="2" to-layer="2035" to-port="0" />
+		<edge from-layer="2034" from-port="0" to-layer="2035" to-port="1" />
+		<edge from-layer="2035" from-port="2" to-layer="2036" to-port="0" />
+		<edge from-layer="2036" from-port="1" to-layer="2037" to-port="1" />
+		<edge from-layer="2037" from-port="2" to-layer="2038" to-port="1" />
+		<edge from-layer="2038" from-port="2" to-layer="2039" to-port="0" />
+		<edge from-layer="2039" from-port="2" to-layer="2041" to-port="0" />
+		<edge from-layer="2039" from-port="2" to-layer="2083" to-port="1" />
+		<edge from-layer="2040" from-port="0" to-layer="2041" to-port="1" />
+		<edge from-layer="2041" from-port="2" to-layer="2043" to-port="0" />
+		<edge from-layer="2042" from-port="0" to-layer="2043" to-port="1" />
+		<edge from-layer="2043" from-port="2" to-layer="2045" to-port="0" />
+		<edge from-layer="2044" from-port="0" to-layer="2045" to-port="1" />
+		<edge from-layer="2045" from-port="2" to-layer="2054" to-port="0" />
+		<edge from-layer="2046" from-port="0" to-layer="2047" to-port="0" />
+		<edge from-layer="2047" from-port="1" to-layer="2050" to-port="0" />
+		<edge from-layer="2048" from-port="0" to-layer="2049" to-port="0" />
+		<edge from-layer="2049" from-port="1" to-layer="2050" to-port="1" />
+		<edge from-layer="2050" from-port="2" to-layer="2052" to-port="0" />
+		<edge from-layer="2051" from-port="0" to-layer="2052" to-port="1" />
+		<edge from-layer="2052" from-port="2" to-layer="2053" to-port="0" />
+		<edge from-layer="2053" from-port="1" to-layer="2054" to-port="1" />
+		<edge from-layer="2054" from-port="2" to-layer="2055" to-port="1" />
+		<edge from-layer="2055" from-port="2" to-layer="2057" to-port="0" />
+		<edge from-layer="2055" from-port="2" to-layer="2066" to-port="0" />
+		<edge from-layer="2055" from-port="2" to-layer="2070" to-port="0" />
+		<edge from-layer="2056" from-port="0" to-layer="2066" to-port="1" />
+		<edge from-layer="2057" from-port="1" to-layer="2060" to-port="0" />
+		<edge from-layer="2058" from-port="0" to-layer="2066" to-port="4" />
+		<edge from-layer="2058" from-port="0" to-layer="2070" to-port="4" />
+		<edge from-layer="2058" from-port="0" to-layer="2060" to-port="1" />
+		<edge from-layer="2059" from-port="0" to-layer="2060" to-port="2" />
+		<edge from-layer="2060" from-port="3" to-layer="2062" to-port="0" />
+		<edge from-layer="2061" from-port="0" to-layer="2062" to-port="1" />
+		<edge from-layer="2062" from-port="2" to-layer="2064" to-port="0" />
+		<edge from-layer="2063" from-port="0" to-layer="2064" to-port="1" />
+		<edge from-layer="2064" from-port="2" to-layer="2066" to-port="2" />
+		<edge from-layer="2064" from-port="2" to-layer="2068" to-port="0" />
+		<edge from-layer="2064" from-port="2" to-layer="2070" to-port="1" />
+		<edge from-layer="2065" from-port="0" to-layer="2066" to-port="3" />
+		<edge from-layer="2066" from-port="5" to-layer="2072" to-port="0" />
+		<edge from-layer="2067" from-port="0" to-layer="2068" to-port="1" />
+		<edge from-layer="2068" from-port="2" to-layer="2070" to-port="2" />
+		<edge from-layer="2069" from-port="0" to-layer="2070" to-port="3" />
+		<edge from-layer="2070" from-port="5" to-layer="2071" to-port="0" />
+		<edge from-layer="2071" from-port="1" to-layer="2072" to-port="1" />
+		<edge from-layer="2072" from-port="2" to-layer="2081" to-port="0" />
+		<edge from-layer="2073" from-port="0" to-layer="2074" to-port="0" />
+		<edge from-layer="2074" from-port="1" to-layer="2077" to-port="0" />
+		<edge from-layer="2075" from-port="0" to-layer="2076" to-port="0" />
+		<edge from-layer="2076" from-port="1" to-layer="2077" to-port="1" />
+		<edge from-layer="2077" from-port="2" to-layer="2079" to-port="0" />
+		<edge from-layer="2078" from-port="0" to-layer="2079" to-port="1" />
+		<edge from-layer="2079" from-port="2" to-layer="2080" to-port="0" />
+		<edge from-layer="2080" from-port="1" to-layer="2081" to-port="1" />
+		<edge from-layer="2081" from-port="2" to-layer="2082" to-port="1" />
+		<edge from-layer="2082" from-port="2" to-layer="2083" to-port="0" />
+		<edge from-layer="2083" from-port="2" to-layer="2088" to-port="0" />
+		<edge from-layer="2084" from-port="0" to-layer="2088" to-port="1" />
+		<edge from-layer="2085" from-port="0" to-layer="2088" to-port="2" />
+		<edge from-layer="2086" from-port="0" to-layer="2088" to-port="3" />
+		<edge from-layer="2087" from-port="0" to-layer="2088" to-port="4" />
+		<edge from-layer="2088" from-port="5" to-layer="2090" to-port="0" />
+		<edge from-layer="2089" from-port="0" to-layer="2090" to-port="1" />
+		<edge from-layer="2090" from-port="2" to-layer="2092" to-port="0" />
+		<edge from-layer="2091" from-port="0" to-layer="2092" to-port="1" />
+		<edge from-layer="2092" from-port="2" to-layer="2097" to-port="0" />
+		<edge from-layer="2093" from-port="0" to-layer="2094" to-port="0" />
+		<edge from-layer="2094" from-port="1" to-layer="2096" to-port="0" />
+		<edge from-layer="2095" from-port="0" to-layer="2096" to-port="1" />
+		<edge from-layer="2096" from-port="2" to-layer="2097" to-port="1" />
+		<edge from-layer="2097" from-port="2" to-layer="2099" to-port="0" />
+		<edge from-layer="2098" from-port="0" to-layer="2099" to-port="1" />
+		<edge from-layer="2099" from-port="2" to-layer="2100" to-port="0" />
+		<edge from-layer="2100" from-port="2" to-layer="2871" to-port="1" />
+		<edge from-layer="2100" from-port="2" to-layer="2105" to-port="0" />
+		<edge from-layer="2101" from-port="0" to-layer="2105" to-port="1" />
+		<edge from-layer="2102" from-port="0" to-layer="2105" to-port="2" />
+		<edge from-layer="2103" from-port="0" to-layer="2105" to-port="3" />
+		<edge from-layer="2104" from-port="0" to-layer="2105" to-port="4" />
+		<edge from-layer="2105" from-port="5" to-layer="2110" to-port="0" />
+		<edge from-layer="2106" from-port="0" to-layer="2107" to-port="0" />
+		<edge from-layer="2107" from-port="1" to-layer="2109" to-port="0" />
+		<edge from-layer="2108" from-port="0" to-layer="2109" to-port="1" />
+		<edge from-layer="2109" from-port="2" to-layer="2110" to-port="1" />
+		<edge from-layer="2110" from-port="2" to-layer="2112" to-port="0" />
+		<edge from-layer="2111" from-port="0" to-layer="2112" to-port="1" />
+		<edge from-layer="2112" from-port="2" to-layer="2776" to-port="1" />
+		<edge from-layer="2112" from-port="2" to-layer="2175" to-port="0" />
+		<edge from-layer="2112" from-port="2" to-layer="2114" to-port="0" />
+		<edge from-layer="2113" from-port="0" to-layer="2114" to-port="1" />
+		<edge from-layer="2114" from-port="2" to-layer="2116" to-port="0" />
+		<edge from-layer="2115" from-port="0" to-layer="2116" to-port="1" />
+		<edge from-layer="2116" from-port="2" to-layer="2118" to-port="0" />
+		<edge from-layer="2117" from-port="0" to-layer="2118" to-port="1" />
+		<edge from-layer="2118" from-port="2" to-layer="2120" to-port="0" />
+		<edge from-layer="2119" from-port="0" to-layer="2120" to-port="1" />
+		<edge from-layer="2120" from-port="2" to-layer="2122" to-port="0" />
+		<edge from-layer="2121" from-port="0" to-layer="2122" to-port="1" />
+		<edge from-layer="2122" from-port="2" to-layer="2123" to-port="0" />
+		<edge from-layer="2123" from-port="1" to-layer="2128" to-port="0" />
+		<edge from-layer="2124" from-port="0" to-layer="2128" to-port="1" />
+		<edge from-layer="2125" from-port="0" to-layer="2128" to-port="2" />
+		<edge from-layer="2126" from-port="0" to-layer="2128" to-port="3" />
+		<edge from-layer="2127" from-port="0" to-layer="2128" to-port="4" />
+		<edge from-layer="2128" from-port="5" to-layer="2133" to-port="0" />
+		<edge from-layer="2129" from-port="0" to-layer="2130" to-port="0" />
+		<edge from-layer="2130" from-port="1" to-layer="2132" to-port="0" />
+		<edge from-layer="2131" from-port="0" to-layer="2132" to-port="1" />
+		<edge from-layer="2132" from-port="2" to-layer="2133" to-port="1" />
+		<edge from-layer="2133" from-port="2" to-layer="2135" to-port="0" />
+		<edge from-layer="2134" from-port="0" to-layer="2135" to-port="1" />
+		<edge from-layer="2135" from-port="2" to-layer="2151" to-port="0" />
+		<edge from-layer="2136" from-port="0" to-layer="2137" to-port="0" />
+		<edge from-layer="2137" from-port="1" to-layer="2140" to-port="0" />
+		<edge from-layer="2138" from-port="0" to-layer="2139" to-port="0" />
+		<edge from-layer="2139" from-port="1" to-layer="2140" to-port="1" />
+		<edge from-layer="2140" from-port="2" to-layer="2142" to-port="0" />
+		<edge from-layer="2141" from-port="0" to-layer="2142" to-port="1" />
+		<edge from-layer="2142" from-port="2" to-layer="2143" to-port="0" />
+		<edge from-layer="2143" from-port="1" to-layer="2144" to-port="1" />
+		<edge from-layer="2144" from-port="2" to-layer="2146" to-port="0" />
+		<edge from-layer="2145" from-port="0" to-layer="2146" to-port="1" />
+		<edge from-layer="2146" from-port="2" to-layer="2148" to-port="0" />
+		<edge from-layer="2147" from-port="0" to-layer="2148" to-port="1" />
+		<edge from-layer="2148" from-port="2" to-layer="2150" to-port="0" />
+		<edge from-layer="2149" from-port="0" to-layer="2150" to-port="1" />
+		<edge from-layer="2150" from-port="2" to-layer="2151" to-port="1" />
+		<edge from-layer="2151" from-port="2" to-layer="2153" to-port="0" />
+		<edge from-layer="2152" from-port="0" to-layer="2153" to-port="1" />
+		<edge from-layer="2153" from-port="2" to-layer="2155" to-port="0" />
+		<edge from-layer="2154" from-port="0" to-layer="2155" to-port="1" />
+		<edge from-layer="2155" from-port="2" to-layer="2157" to-port="0" />
+		<edge from-layer="2156" from-port="0" to-layer="2157" to-port="1" />
+		<edge from-layer="2157" from-port="2" to-layer="2159" to-port="0" />
+		<edge from-layer="2158" from-port="0" to-layer="2159" to-port="1" />
+		<edge from-layer="2159" from-port="2" to-layer="2161" to-port="0" />
+		<edge from-layer="2160" from-port="0" to-layer="2161" to-port="1" />
+		<edge from-layer="2161" from-port="2" to-layer="2162" to-port="0" />
+		<edge from-layer="2162" from-port="1" to-layer="2167" to-port="0" />
+		<edge from-layer="2163" from-port="0" to-layer="2167" to-port="1" />
+		<edge from-layer="2164" from-port="0" to-layer="2167" to-port="2" />
+		<edge from-layer="2165" from-port="0" to-layer="2167" to-port="3" />
+		<edge from-layer="2166" from-port="0" to-layer="2167" to-port="4" />
+		<edge from-layer="2167" from-port="5" to-layer="2172" to-port="0" />
+		<edge from-layer="2168" from-port="0" to-layer="2169" to-port="0" />
+		<edge from-layer="2169" from-port="1" to-layer="2171" to-port="0" />
+		<edge from-layer="2170" from-port="0" to-layer="2171" to-port="1" />
+		<edge from-layer="2171" from-port="2" to-layer="2172" to-port="1" />
+		<edge from-layer="2172" from-port="2" to-layer="2174" to-port="0" />
+		<edge from-layer="2173" from-port="0" to-layer="2174" to-port="1" />
+		<edge from-layer="2174" from-port="2" to-layer="2175" to-port="1" />
+		<edge from-layer="2175" from-port="2" to-layer="2177" to-port="0" />
+		<edge from-layer="2175" from-port="2" to-layer="2700" to-port="1" />
+		<edge from-layer="2175" from-port="2" to-layer="2238" to-port="0" />
+		<edge from-layer="2176" from-port="0" to-layer="2177" to-port="1" />
+		<edge from-layer="2177" from-port="2" to-layer="2179" to-port="0" />
+		<edge from-layer="2178" from-port="0" to-layer="2179" to-port="1" />
+		<edge from-layer="2179" from-port="2" to-layer="2181" to-port="0" />
+		<edge from-layer="2180" from-port="0" to-layer="2181" to-port="1" />
+		<edge from-layer="2181" from-port="2" to-layer="2183" to-port="0" />
+		<edge from-layer="2182" from-port="0" to-layer="2183" to-port="1" />
+		<edge from-layer="2183" from-port="2" to-layer="2185" to-port="0" />
+		<edge from-layer="2184" from-port="0" to-layer="2185" to-port="1" />
+		<edge from-layer="2185" from-port="2" to-layer="2186" to-port="0" />
+		<edge from-layer="2186" from-port="1" to-layer="2191" to-port="0" />
+		<edge from-layer="2187" from-port="0" to-layer="2191" to-port="1" />
+		<edge from-layer="2188" from-port="0" to-layer="2191" to-port="2" />
+		<edge from-layer="2189" from-port="0" to-layer="2191" to-port="3" />
+		<edge from-layer="2190" from-port="0" to-layer="2191" to-port="4" />
+		<edge from-layer="2191" from-port="5" to-layer="2196" to-port="0" />
+		<edge from-layer="2192" from-port="0" to-layer="2193" to-port="0" />
+		<edge from-layer="2193" from-port="1" to-layer="2195" to-port="0" />
+		<edge from-layer="2194" from-port="0" to-layer="2195" to-port="1" />
+		<edge from-layer="2195" from-port="2" to-layer="2196" to-port="1" />
+		<edge from-layer="2196" from-port="2" to-layer="2198" to-port="0" />
+		<edge from-layer="2197" from-port="0" to-layer="2198" to-port="1" />
+		<edge from-layer="2198" from-port="2" to-layer="2214" to-port="0" />
+		<edge from-layer="2199" from-port="0" to-layer="2200" to-port="0" />
+		<edge from-layer="2200" from-port="1" to-layer="2203" to-port="0" />
+		<edge from-layer="2201" from-port="0" to-layer="2202" to-port="0" />
+		<edge from-layer="2202" from-port="1" to-layer="2203" to-port="1" />
+		<edge from-layer="2203" from-port="2" to-layer="2205" to-port="0" />
+		<edge from-layer="2204" from-port="0" to-layer="2205" to-port="1" />
+		<edge from-layer="2205" from-port="2" to-layer="2206" to-port="0" />
+		<edge from-layer="2206" from-port="1" to-layer="2207" to-port="1" />
+		<edge from-layer="2207" from-port="2" to-layer="2209" to-port="0" />
+		<edge from-layer="2208" from-port="0" to-layer="2209" to-port="1" />
+		<edge from-layer="2209" from-port="2" to-layer="2211" to-port="0" />
+		<edge from-layer="2210" from-port="0" to-layer="2211" to-port="1" />
+		<edge from-layer="2211" from-port="2" to-layer="2213" to-port="0" />
+		<edge from-layer="2212" from-port="0" to-layer="2213" to-port="1" />
+		<edge from-layer="2213" from-port="2" to-layer="2214" to-port="1" />
+		<edge from-layer="2214" from-port="2" to-layer="2216" to-port="0" />
+		<edge from-layer="2215" from-port="0" to-layer="2216" to-port="1" />
+		<edge from-layer="2216" from-port="2" to-layer="2218" to-port="0" />
+		<edge from-layer="2217" from-port="0" to-layer="2218" to-port="1" />
+		<edge from-layer="2218" from-port="2" to-layer="2220" to-port="0" />
+		<edge from-layer="2219" from-port="0" to-layer="2220" to-port="1" />
+		<edge from-layer="2220" from-port="2" to-layer="2222" to-port="0" />
+		<edge from-layer="2221" from-port="0" to-layer="2222" to-port="1" />
+		<edge from-layer="2222" from-port="2" to-layer="2224" to-port="0" />
+		<edge from-layer="2223" from-port="0" to-layer="2224" to-port="1" />
+		<edge from-layer="2224" from-port="2" to-layer="2225" to-port="0" />
+		<edge from-layer="2225" from-port="1" to-layer="2230" to-port="0" />
+		<edge from-layer="2226" from-port="0" to-layer="2230" to-port="1" />
+		<edge from-layer="2227" from-port="0" to-layer="2230" to-port="2" />
+		<edge from-layer="2228" from-port="0" to-layer="2230" to-port="3" />
+		<edge from-layer="2229" from-port="0" to-layer="2230" to-port="4" />
+		<edge from-layer="2230" from-port="5" to-layer="2235" to-port="0" />
+		<edge from-layer="2231" from-port="0" to-layer="2232" to-port="0" />
+		<edge from-layer="2232" from-port="1" to-layer="2234" to-port="0" />
+		<edge from-layer="2233" from-port="0" to-layer="2234" to-port="1" />
+		<edge from-layer="2234" from-port="2" to-layer="2235" to-port="1" />
+		<edge from-layer="2235" from-port="2" to-layer="2237" to-port="0" />
+		<edge from-layer="2236" from-port="0" to-layer="2237" to-port="1" />
+		<edge from-layer="2237" from-port="2" to-layer="2238" to-port="1" />
+		<edge from-layer="2238" from-port="2" to-layer="2240" to-port="0" />
+		<edge from-layer="2238" from-port="2" to-layer="2624" to-port="1" />
+		<edge from-layer="2238" from-port="2" to-layer="2301" to-port="0" />
+		<edge from-layer="2239" from-port="0" to-layer="2240" to-port="1" />
+		<edge from-layer="2240" from-port="2" to-layer="2242" to-port="0" />
+		<edge from-layer="2241" from-port="0" to-layer="2242" to-port="1" />
+		<edge from-layer="2242" from-port="2" to-layer="2244" to-port="0" />
+		<edge from-layer="2243" from-port="0" to-layer="2244" to-port="1" />
+		<edge from-layer="2244" from-port="2" to-layer="2246" to-port="0" />
+		<edge from-layer="2245" from-port="0" to-layer="2246" to-port="1" />
+		<edge from-layer="2246" from-port="2" to-layer="2248" to-port="0" />
+		<edge from-layer="2247" from-port="0" to-layer="2248" to-port="1" />
+		<edge from-layer="2248" from-port="2" to-layer="2249" to-port="0" />
+		<edge from-layer="2249" from-port="1" to-layer="2254" to-port="0" />
+		<edge from-layer="2250" from-port="0" to-layer="2254" to-port="1" />
+		<edge from-layer="2251" from-port="0" to-layer="2254" to-port="2" />
+		<edge from-layer="2252" from-port="0" to-layer="2254" to-port="3" />
+		<edge from-layer="2253" from-port="0" to-layer="2254" to-port="4" />
+		<edge from-layer="2254" from-port="5" to-layer="2259" to-port="0" />
+		<edge from-layer="2255" from-port="0" to-layer="2256" to-port="0" />
+		<edge from-layer="2256" from-port="1" to-layer="2258" to-port="0" />
+		<edge from-layer="2257" from-port="0" to-layer="2258" to-port="1" />
+		<edge from-layer="2258" from-port="2" to-layer="2259" to-port="1" />
+		<edge from-layer="2259" from-port="2" to-layer="2261" to-port="0" />
+		<edge from-layer="2260" from-port="0" to-layer="2261" to-port="1" />
+		<edge from-layer="2261" from-port="2" to-layer="2277" to-port="0" />
+		<edge from-layer="2262" from-port="0" to-layer="2263" to-port="0" />
+		<edge from-layer="2263" from-port="1" to-layer="2266" to-port="0" />
+		<edge from-layer="2264" from-port="0" to-layer="2265" to-port="0" />
+		<edge from-layer="2265" from-port="1" to-layer="2266" to-port="1" />
+		<edge from-layer="2266" from-port="2" to-layer="2268" to-port="0" />
+		<edge from-layer="2267" from-port="0" to-layer="2268" to-port="1" />
+		<edge from-layer="2268" from-port="2" to-layer="2269" to-port="0" />
+		<edge from-layer="2269" from-port="1" to-layer="2270" to-port="1" />
+		<edge from-layer="2270" from-port="2" to-layer="2272" to-port="0" />
+		<edge from-layer="2271" from-port="0" to-layer="2272" to-port="1" />
+		<edge from-layer="2272" from-port="2" to-layer="2274" to-port="0" />
+		<edge from-layer="2273" from-port="0" to-layer="2274" to-port="1" />
+		<edge from-layer="2274" from-port="2" to-layer="2276" to-port="0" />
+		<edge from-layer="2275" from-port="0" to-layer="2276" to-port="1" />
+		<edge from-layer="2276" from-port="2" to-layer="2277" to-port="1" />
+		<edge from-layer="2277" from-port="2" to-layer="2279" to-port="0" />
+		<edge from-layer="2278" from-port="0" to-layer="2279" to-port="1" />
+		<edge from-layer="2279" from-port="2" to-layer="2281" to-port="0" />
+		<edge from-layer="2280" from-port="0" to-layer="2281" to-port="1" />
+		<edge from-layer="2281" from-port="2" to-layer="2283" to-port="0" />
+		<edge from-layer="2282" from-port="0" to-layer="2283" to-port="1" />
+		<edge from-layer="2283" from-port="2" to-layer="2285" to-port="0" />
+		<edge from-layer="2284" from-port="0" to-layer="2285" to-port="1" />
+		<edge from-layer="2285" from-port="2" to-layer="2287" to-port="0" />
+		<edge from-layer="2286" from-port="0" to-layer="2287" to-port="1" />
+		<edge from-layer="2287" from-port="2" to-layer="2288" to-port="0" />
+		<edge from-layer="2288" from-port="1" to-layer="2293" to-port="0" />
+		<edge from-layer="2289" from-port="0" to-layer="2293" to-port="1" />
+		<edge from-layer="2290" from-port="0" to-layer="2293" to-port="2" />
+		<edge from-layer="2291" from-port="0" to-layer="2293" to-port="3" />
+		<edge from-layer="2292" from-port="0" to-layer="2293" to-port="4" />
+		<edge from-layer="2293" from-port="5" to-layer="2298" to-port="0" />
+		<edge from-layer="2294" from-port="0" to-layer="2295" to-port="0" />
+		<edge from-layer="2295" from-port="1" to-layer="2297" to-port="0" />
+		<edge from-layer="2296" from-port="0" to-layer="2297" to-port="1" />
+		<edge from-layer="2297" from-port="2" to-layer="2298" to-port="1" />
+		<edge from-layer="2298" from-port="2" to-layer="2300" to-port="0" />
+		<edge from-layer="2299" from-port="0" to-layer="2300" to-port="1" />
+		<edge from-layer="2300" from-port="2" to-layer="2301" to-port="1" />
+		<edge from-layer="2301" from-port="2" to-layer="2303" to-port="0" />
+		<edge from-layer="2301" from-port="2" to-layer="2560" to-port="1" />
+		<edge from-layer="2302" from-port="0" to-layer="2303" to-port="1" />
+		<edge from-layer="2303" from-port="2" to-layer="2305" to-port="0" />
+		<edge from-layer="2304" from-port="0" to-layer="2305" to-port="1" />
+		<edge from-layer="2305" from-port="2" to-layer="2307" to-port="0" />
+		<edge from-layer="2306" from-port="0" to-layer="2307" to-port="1" />
+		<edge from-layer="2307" from-port="2" to-layer="2309" to-port="0" />
+		<edge from-layer="2308" from-port="0" to-layer="2309" to-port="1" />
+		<edge from-layer="2309" from-port="2" to-layer="2311" to-port="0" />
+		<edge from-layer="2310" from-port="0" to-layer="2311" to-port="1" />
+		<edge from-layer="2311" from-port="2" to-layer="2316" to-port="0" />
+		<edge from-layer="2312" from-port="0" to-layer="2316" to-port="1" />
+		<edge from-layer="2313" from-port="0" to-layer="2316" to-port="2" />
+		<edge from-layer="2314" from-port="0" to-layer="2316" to-port="3" />
+		<edge from-layer="2315" from-port="0" to-layer="2316" to-port="4" />
+		<edge from-layer="2316" from-port="5" to-layer="2321" to-port="0" />
+		<edge from-layer="2317" from-port="0" to-layer="2318" to-port="0" />
+		<edge from-layer="2318" from-port="1" to-layer="2320" to-port="0" />
+		<edge from-layer="2319" from-port="0" to-layer="2320" to-port="1" />
+		<edge from-layer="2320" from-port="2" to-layer="2321" to-port="1" />
+		<edge from-layer="2321" from-port="2" to-layer="2323" to-port="0" />
+		<edge from-layer="2322" from-port="0" to-layer="2323" to-port="1" />
+		<edge from-layer="2323" from-port="2" to-layer="2325" to-port="0" />
+		<edge from-layer="2324" from-port="0" to-layer="2325" to-port="1" />
+		<edge from-layer="2325" from-port="2" to-layer="2327" to-port="0" />
+		<edge from-layer="2326" from-port="0" to-layer="2327" to-port="1" />
+		<edge from-layer="2327" from-port="2" to-layer="2413" to-port="1" />
+		<edge from-layer="2327" from-port="2" to-layer="2329" to-port="0" />
+		<edge from-layer="2328" from-port="0" to-layer="2329" to-port="1" />
+		<edge from-layer="2329" from-port="2" to-layer="2331" to-port="0" />
+		<edge from-layer="2330" from-port="0" to-layer="2331" to-port="1" />
+		<edge from-layer="2331" from-port="2" to-layer="2333" to-port="0" />
+		<edge from-layer="2332" from-port="0" to-layer="2333" to-port="1" />
+		<edge from-layer="2333" from-port="2" to-layer="2393" to-port="0" />
+		<edge from-layer="2333" from-port="2" to-layer="2372" to-port="0" />
+		<edge from-layer="2333" from-port="2" to-layer="2342" to-port="0" />
+		<edge from-layer="2334" from-port="0" to-layer="2335" to-port="0" />
+		<edge from-layer="2335" from-port="1" to-layer="2338" to-port="0" />
+		<edge from-layer="2336" from-port="0" to-layer="2337" to-port="0" />
+		<edge from-layer="2337" from-port="1" to-layer="2338" to-port="1" />
+		<edge from-layer="2338" from-port="2" to-layer="2340" to-port="0" />
+		<edge from-layer="2339" from-port="0" to-layer="2340" to-port="1" />
+		<edge from-layer="2340" from-port="2" to-layer="2341" to-port="0" />
+		<edge from-layer="2341" from-port="1" to-layer="2342" to-port="1" />
+		<edge from-layer="2342" from-port="2" to-layer="2344" to-port="0" />
+		<edge from-layer="2343" from-port="0" to-layer="2344" to-port="1" />
+		<edge from-layer="2344" from-port="2" to-layer="2346" to-port="0" />
+		<edge from-layer="2345" from-port="0" to-layer="2346" to-port="1" />
+		<edge from-layer="2346" from-port="2" to-layer="2348" to-port="0" />
+		<edge from-layer="2346" from-port="2" to-layer="2358" to-port="0" />
+		<edge from-layer="2347" from-port="0" to-layer="2356" to-port="0" />
+		<edge from-layer="2348" from-port="1" to-layer="2353" to-port="0" />
+		<edge from-layer="2349" from-port="0" to-layer="2353" to-port="1" />
+		<edge from-layer="2350" from-port="0" to-layer="2353" to-port="2" />
+		<edge from-layer="2351" from-port="0" to-layer="2353" to-port="3" />
+		<edge from-layer="2352" from-port="0" to-layer="2353" to-port="4" />
+		<edge from-layer="2353" from-port="5" to-layer="2354" to-port="0" />
+		<edge from-layer="2354" from-port="1" to-layer="2355" to-port="0" />
+		<edge from-layer="2355" from-port="1" to-layer="2356" to-port="1" />
+		<edge from-layer="2356" from-port="2" to-layer="2357" to-port="0" />
+		<edge from-layer="2357" from-port="1" to-layer="2358" to-port="1" />
+		<edge from-layer="2357" from-port="1" to-layer="2377" to-port="1" />
+		<edge from-layer="2358" from-port="2" to-layer="2363" to-port="0" />
+		<edge from-layer="2359" from-port="0" to-layer="2363" to-port="1" />
+		<edge from-layer="2360" from-port="0" to-layer="2363" to-port="2" />
+		<edge from-layer="2361" from-port="0" to-layer="2363" to-port="3" />
+		<edge from-layer="2362" from-port="0" to-layer="2363" to-port="4" />
+		<edge from-layer="2363" from-port="5" to-layer="2383" to-port="0" />
+		<edge from-layer="2364" from-port="0" to-layer="2365" to-port="0" />
+		<edge from-layer="2365" from-port="1" to-layer="2368" to-port="0" />
+		<edge from-layer="2366" from-port="0" to-layer="2367" to-port="0" />
+		<edge from-layer="2367" from-port="1" to-layer="2368" to-port="1" />
+		<edge from-layer="2368" from-port="2" to-layer="2370" to-port="0" />
+		<edge from-layer="2369" from-port="0" to-layer="2370" to-port="1" />
+		<edge from-layer="2370" from-port="2" to-layer="2371" to-port="0" />
+		<edge from-layer="2371" from-port="1" to-layer="2372" to-port="1" />
+		<edge from-layer="2372" from-port="2" to-layer="2374" to-port="0" />
+		<edge from-layer="2373" from-port="0" to-layer="2374" to-port="1" />
+		<edge from-layer="2374" from-port="2" to-layer="2376" to-port="0" />
+		<edge from-layer="2375" from-port="0" to-layer="2376" to-port="1" />
+		<edge from-layer="2376" from-port="2" to-layer="2377" to-port="0" />
+		<edge from-layer="2377" from-port="2" to-layer="2382" to-port="0" />
+		<edge from-layer="2378" from-port="0" to-layer="2382" to-port="1" />
+		<edge from-layer="2379" from-port="0" to-layer="2382" to-port="2" />
+		<edge from-layer="2380" from-port="0" to-layer="2382" to-port="3" />
+		<edge from-layer="2381" from-port="0" to-layer="2382" to-port="4" />
+		<edge from-layer="2382" from-port="5" to-layer="2383" to-port="1" />
+		<edge from-layer="2383" from-port="2" to-layer="2384" to-port="0" />
+		<edge from-layer="2384" from-port="1" to-layer="2398" to-port="0" />
+		<edge from-layer="2385" from-port="0" to-layer="2386" to-port="0" />
+		<edge from-layer="2386" from-port="1" to-layer="2389" to-port="0" />
+		<edge from-layer="2387" from-port="0" to-layer="2388" to-port="0" />
+		<edge from-layer="2388" from-port="1" to-layer="2389" to-port="1" />
+		<edge from-layer="2389" from-port="2" to-layer="2391" to-port="0" />
+		<edge from-layer="2390" from-port="0" to-layer="2391" to-port="1" />
+		<edge from-layer="2391" from-port="2" to-layer="2392" to-port="0" />
+		<edge from-layer="2392" from-port="1" to-layer="2393" to-port="1" />
+		<edge from-layer="2393" from-port="2" to-layer="2395" to-port="0" />
+		<edge from-layer="2394" from-port="0" to-layer="2395" to-port="1" />
+		<edge from-layer="2395" from-port="2" to-layer="2397" to-port="0" />
+		<edge from-layer="2396" from-port="0" to-layer="2397" to-port="1" />
+		<edge from-layer="2397" from-port="2" to-layer="2398" to-port="1" />
+		<edge from-layer="2398" from-port="2" to-layer="2400" to-port="0" />
+		<edge from-layer="2399" from-port="0" to-layer="2400" to-port="1" />
+		<edge from-layer="2400" from-port="2" to-layer="2402" to-port="0" />
+		<edge from-layer="2401" from-port="0" to-layer="2402" to-port="1" />
+		<edge from-layer="2402" from-port="2" to-layer="2411" to-port="0" />
+		<edge from-layer="2403" from-port="0" to-layer="2404" to-port="0" />
+		<edge from-layer="2404" from-port="1" to-layer="2407" to-port="0" />
+		<edge from-layer="2405" from-port="0" to-layer="2406" to-port="0" />
+		<edge from-layer="2406" from-port="1" to-layer="2407" to-port="1" />
+		<edge from-layer="2407" from-port="2" to-layer="2409" to-port="0" />
+		<edge from-layer="2408" from-port="0" to-layer="2409" to-port="1" />
+		<edge from-layer="2409" from-port="2" to-layer="2410" to-port="0" />
+		<edge from-layer="2410" from-port="1" to-layer="2411" to-port="1" />
+		<edge from-layer="2411" from-port="2" to-layer="2412" to-port="1" />
+		<edge from-layer="2412" from-port="2" to-layer="2413" to-port="0" />
+		<edge from-layer="2413" from-port="2" to-layer="2415" to-port="0" />
+		<edge from-layer="2413" from-port="2" to-layer="2499" to-port="1" />
+		<edge from-layer="2414" from-port="0" to-layer="2415" to-port="1" />
+		<edge from-layer="2415" from-port="2" to-layer="2417" to-port="0" />
+		<edge from-layer="2416" from-port="0" to-layer="2417" to-port="1" />
+		<edge from-layer="2417" from-port="2" to-layer="2419" to-port="0" />
+		<edge from-layer="2418" from-port="0" to-layer="2419" to-port="1" />
+		<edge from-layer="2419" from-port="2" to-layer="2428" to-port="0" />
+		<edge from-layer="2420" from-port="0" to-layer="2421" to-port="0" />
+		<edge from-layer="2421" from-port="1" to-layer="2424" to-port="0" />
+		<edge from-layer="2422" from-port="0" to-layer="2423" to-port="0" />
+		<edge from-layer="2423" from-port="1" to-layer="2424" to-port="1" />
+		<edge from-layer="2424" from-port="2" to-layer="2426" to-port="0" />
+		<edge from-layer="2425" from-port="0" to-layer="2426" to-port="1" />
+		<edge from-layer="2426" from-port="2" to-layer="2427" to-port="0" />
+		<edge from-layer="2427" from-port="1" to-layer="2428" to-port="1" />
+		<edge from-layer="2428" from-port="2" to-layer="2430" to-port="0" />
+		<edge from-layer="2429" from-port="0" to-layer="2430" to-port="1" />
+		<edge from-layer="2430" from-port="2" to-layer="2432" to-port="0" />
+		<edge from-layer="2431" from-port="0" to-layer="2432" to-port="1" />
+		<edge from-layer="2432" from-port="2" to-layer="2444" to-port="0" />
+		<edge from-layer="2432" from-port="2" to-layer="2434" to-port="0" />
+		<edge from-layer="2433" from-port="0" to-layer="2442" to-port="0" />
+		<edge from-layer="2434" from-port="1" to-layer="2439" to-port="0" />
+		<edge from-layer="2435" from-port="0" to-layer="2439" to-port="1" />
+		<edge from-layer="2436" from-port="0" to-layer="2439" to-port="2" />
+		<edge from-layer="2437" from-port="0" to-layer="2439" to-port="3" />
+		<edge from-layer="2438" from-port="0" to-layer="2439" to-port="4" />
+		<edge from-layer="2439" from-port="5" to-layer="2440" to-port="0" />
+		<edge from-layer="2440" from-port="1" to-layer="2441" to-port="0" />
+		<edge from-layer="2441" from-port="1" to-layer="2442" to-port="1" />
+		<edge from-layer="2442" from-port="2" to-layer="2443" to-port="0" />
+		<edge from-layer="2443" from-port="1" to-layer="2463" to-port="1" />
+		<edge from-layer="2443" from-port="1" to-layer="2444" to-port="1" />
+		<edge from-layer="2444" from-port="2" to-layer="2449" to-port="0" />
+		<edge from-layer="2445" from-port="0" to-layer="2449" to-port="1" />
+		<edge from-layer="2446" from-port="0" to-layer="2449" to-port="2" />
+		<edge from-layer="2447" from-port="0" to-layer="2449" to-port="3" />
+		<edge from-layer="2448" from-port="0" to-layer="2449" to-port="4" />
+		<edge from-layer="2449" from-port="5" to-layer="2469" to-port="0" />
+		<edge from-layer="2450" from-port="0" to-layer="2451" to-port="0" />
+		<edge from-layer="2451" from-port="1" to-layer="2454" to-port="0" />
+		<edge from-layer="2452" from-port="0" to-layer="2453" to-port="0" />
+		<edge from-layer="2453" from-port="1" to-layer="2454" to-port="1" />
+		<edge from-layer="2454" from-port="2" to-layer="2456" to-port="0" />
+		<edge from-layer="2455" from-port="0" to-layer="2456" to-port="1" />
+		<edge from-layer="2456" from-port="2" to-layer="2457" to-port="0" />
+		<edge from-layer="2457" from-port="1" to-layer="2458" to-port="1" />
+		<edge from-layer="2458" from-port="2" to-layer="2460" to-port="0" />
+		<edge from-layer="2459" from-port="0" to-layer="2460" to-port="1" />
+		<edge from-layer="2460" from-port="2" to-layer="2462" to-port="0" />
+		<edge from-layer="2461" from-port="0" to-layer="2462" to-port="1" />
+		<edge from-layer="2462" from-port="2" to-layer="2463" to-port="0" />
+		<edge from-layer="2463" from-port="2" to-layer="2468" to-port="0" />
+		<edge from-layer="2464" from-port="0" to-layer="2468" to-port="1" />
+		<edge from-layer="2465" from-port="0" to-layer="2468" to-port="2" />
+		<edge from-layer="2466" from-port="0" to-layer="2468" to-port="3" />
+		<edge from-layer="2467" from-port="0" to-layer="2468" to-port="4" />
+		<edge from-layer="2468" from-port="5" to-layer="2469" to-port="1" />
+		<edge from-layer="2469" from-port="2" to-layer="2470" to-port="0" />
+		<edge from-layer="2470" from-port="1" to-layer="2484" to-port="0" />
+		<edge from-layer="2471" from-port="0" to-layer="2472" to-port="0" />
+		<edge from-layer="2472" from-port="1" to-layer="2475" to-port="0" />
+		<edge from-layer="2473" from-port="0" to-layer="2474" to-port="0" />
+		<edge from-layer="2474" from-port="1" to-layer="2475" to-port="1" />
+		<edge from-layer="2475" from-port="2" to-layer="2477" to-port="0" />
+		<edge from-layer="2476" from-port="0" to-layer="2477" to-port="1" />
+		<edge from-layer="2477" from-port="2" to-layer="2478" to-port="0" />
+		<edge from-layer="2478" from-port="1" to-layer="2479" to-port="1" />
+		<edge from-layer="2479" from-port="2" to-layer="2481" to-port="0" />
+		<edge from-layer="2480" from-port="0" to-layer="2481" to-port="1" />
+		<edge from-layer="2481" from-port="2" to-layer="2483" to-port="0" />
+		<edge from-layer="2482" from-port="0" to-layer="2483" to-port="1" />
+		<edge from-layer="2483" from-port="2" to-layer="2484" to-port="1" />
+		<edge from-layer="2484" from-port="2" to-layer="2486" to-port="0" />
+		<edge from-layer="2485" from-port="0" to-layer="2486" to-port="1" />
+		<edge from-layer="2486" from-port="2" to-layer="2488" to-port="0" />
+		<edge from-layer="2487" from-port="0" to-layer="2488" to-port="1" />
+		<edge from-layer="2488" from-port="2" to-layer="2497" to-port="0" />
+		<edge from-layer="2489" from-port="0" to-layer="2490" to-port="0" />
+		<edge from-layer="2490" from-port="1" to-layer="2493" to-port="0" />
+		<edge from-layer="2491" from-port="0" to-layer="2492" to-port="0" />
+		<edge from-layer="2492" from-port="1" to-layer="2493" to-port="1" />
+		<edge from-layer="2493" from-port="2" to-layer="2495" to-port="0" />
+		<edge from-layer="2494" from-port="0" to-layer="2495" to-port="1" />
+		<edge from-layer="2495" from-port="2" to-layer="2496" to-port="0" />
+		<edge from-layer="2496" from-port="1" to-layer="2497" to-port="1" />
+		<edge from-layer="2497" from-port="2" to-layer="2498" to-port="1" />
+		<edge from-layer="2498" from-port="2" to-layer="2499" to-port="0" />
+		<edge from-layer="2499" from-port="2" to-layer="2543" to-port="1" />
+		<edge from-layer="2499" from-port="2" to-layer="2501" to-port="0" />
+		<edge from-layer="2500" from-port="0" to-layer="2501" to-port="1" />
+		<edge from-layer="2501" from-port="2" to-layer="2503" to-port="0" />
+		<edge from-layer="2502" from-port="0" to-layer="2503" to-port="1" />
+		<edge from-layer="2503" from-port="2" to-layer="2505" to-port="0" />
+		<edge from-layer="2504" from-port="0" to-layer="2505" to-port="1" />
+		<edge from-layer="2505" from-port="2" to-layer="2514" to-port="0" />
+		<edge from-layer="2506" from-port="0" to-layer="2507" to-port="0" />
+		<edge from-layer="2507" from-port="1" to-layer="2510" to-port="0" />
+		<edge from-layer="2508" from-port="0" to-layer="2509" to-port="0" />
+		<edge from-layer="2509" from-port="1" to-layer="2510" to-port="1" />
+		<edge from-layer="2510" from-port="2" to-layer="2512" to-port="0" />
+		<edge from-layer="2511" from-port="0" to-layer="2512" to-port="1" />
+		<edge from-layer="2512" from-port="2" to-layer="2513" to-port="0" />
+		<edge from-layer="2513" from-port="1" to-layer="2514" to-port="1" />
+		<edge from-layer="2514" from-port="2" to-layer="2515" to-port="1" />
+		<edge from-layer="2515" from-port="2" to-layer="2517" to-port="0" />
+		<edge from-layer="2515" from-port="2" to-layer="2530" to-port="0" />
+		<edge from-layer="2515" from-port="2" to-layer="2526" to-port="0" />
+		<edge from-layer="2516" from-port="0" to-layer="2526" to-port="1" />
+		<edge from-layer="2517" from-port="1" to-layer="2520" to-port="0" />
+		<edge from-layer="2518" from-port="0" to-layer="2520" to-port="1" />
+		<edge from-layer="2518" from-port="0" to-layer="2530" to-port="4" />
+		<edge from-layer="2518" from-port="0" to-layer="2526" to-port="4" />
+		<edge from-layer="2519" from-port="0" to-layer="2520" to-port="2" />
+		<edge from-layer="2520" from-port="3" to-layer="2522" to-port="0" />
+		<edge from-layer="2521" from-port="0" to-layer="2522" to-port="1" />
+		<edge from-layer="2522" from-port="2" to-layer="2524" to-port="0" />
+		<edge from-layer="2523" from-port="0" to-layer="2524" to-port="1" />
+		<edge from-layer="2524" from-port="2" to-layer="2526" to-port="2" />
+		<edge from-layer="2524" from-port="2" to-layer="2528" to-port="0" />
+		<edge from-layer="2524" from-port="2" to-layer="2530" to-port="1" />
+		<edge from-layer="2525" from-port="0" to-layer="2526" to-port="3" />
+		<edge from-layer="2526" from-port="5" to-layer="2532" to-port="0" />
+		<edge from-layer="2527" from-port="0" to-layer="2528" to-port="1" />
+		<edge from-layer="2528" from-port="2" to-layer="2530" to-port="2" />
+		<edge from-layer="2529" from-port="0" to-layer="2530" to-port="3" />
+		<edge from-layer="2530" from-port="5" to-layer="2531" to-port="0" />
+		<edge from-layer="2531" from-port="1" to-layer="2532" to-port="1" />
+		<edge from-layer="2532" from-port="2" to-layer="2541" to-port="0" />
+		<edge from-layer="2533" from-port="0" to-layer="2534" to-port="0" />
+		<edge from-layer="2534" from-port="1" to-layer="2537" to-port="0" />
+		<edge from-layer="2535" from-port="0" to-layer="2536" to-port="0" />
+		<edge from-layer="2536" from-port="1" to-layer="2537" to-port="1" />
+		<edge from-layer="2537" from-port="2" to-layer="2539" to-port="0" />
+		<edge from-layer="2538" from-port="0" to-layer="2539" to-port="1" />
+		<edge from-layer="2539" from-port="2" to-layer="2540" to-port="0" />
+		<edge from-layer="2540" from-port="1" to-layer="2541" to-port="1" />
+		<edge from-layer="2541" from-port="2" to-layer="2542" to-port="1" />
+		<edge from-layer="2542" from-port="2" to-layer="2543" to-port="0" />
+		<edge from-layer="2543" from-port="2" to-layer="2548" to-port="0" />
+		<edge from-layer="2544" from-port="0" to-layer="2548" to-port="1" />
+		<edge from-layer="2545" from-port="0" to-layer="2548" to-port="2" />
+		<edge from-layer="2546" from-port="0" to-layer="2548" to-port="3" />
+		<edge from-layer="2547" from-port="0" to-layer="2548" to-port="4" />
+		<edge from-layer="2548" from-port="5" to-layer="2550" to-port="0" />
+		<edge from-layer="2549" from-port="0" to-layer="2550" to-port="1" />
+		<edge from-layer="2550" from-port="2" to-layer="2552" to-port="0" />
+		<edge from-layer="2551" from-port="0" to-layer="2552" to-port="1" />
+		<edge from-layer="2552" from-port="2" to-layer="2557" to-port="0" />
+		<edge from-layer="2553" from-port="0" to-layer="2554" to-port="0" />
+		<edge from-layer="2554" from-port="1" to-layer="2556" to-port="0" />
+		<edge from-layer="2555" from-port="0" to-layer="2556" to-port="1" />
+		<edge from-layer="2556" from-port="2" to-layer="2557" to-port="1" />
+		<edge from-layer="2557" from-port="2" to-layer="2559" to-port="0" />
+		<edge from-layer="2558" from-port="0" to-layer="2559" to-port="1" />
+		<edge from-layer="2559" from-port="2" to-layer="2560" to-port="0" />
+		<edge from-layer="2560" from-port="2" to-layer="2623" to-port="0" />
+		<edge from-layer="2560" from-port="2" to-layer="2562" to-port="0" />
+		<edge from-layer="2561" from-port="0" to-layer="2562" to-port="1" />
+		<edge from-layer="2562" from-port="2" to-layer="2564" to-port="0" />
+		<edge from-layer="2563" from-port="0" to-layer="2564" to-port="1" />
+		<edge from-layer="2564" from-port="2" to-layer="2566" to-port="0" />
+		<edge from-layer="2565" from-port="0" to-layer="2566" to-port="1" />
+		<edge from-layer="2566" from-port="2" to-layer="2568" to-port="0" />
+		<edge from-layer="2567" from-port="0" to-layer="2568" to-port="1" />
+		<edge from-layer="2568" from-port="2" to-layer="2570" to-port="0" />
+		<edge from-layer="2569" from-port="0" to-layer="2570" to-port="1" />
+		<edge from-layer="2570" from-port="2" to-layer="2571" to-port="0" />
+		<edge from-layer="2571" from-port="1" to-layer="2576" to-port="0" />
+		<edge from-layer="2572" from-port="0" to-layer="2576" to-port="1" />
+		<edge from-layer="2573" from-port="0" to-layer="2576" to-port="2" />
+		<edge from-layer="2574" from-port="0" to-layer="2576" to-port="3" />
+		<edge from-layer="2575" from-port="0" to-layer="2576" to-port="4" />
+		<edge from-layer="2576" from-port="5" to-layer="2581" to-port="0" />
+		<edge from-layer="2577" from-port="0" to-layer="2578" to-port="0" />
+		<edge from-layer="2578" from-port="1" to-layer="2580" to-port="0" />
+		<edge from-layer="2579" from-port="0" to-layer="2580" to-port="1" />
+		<edge from-layer="2580" from-port="2" to-layer="2581" to-port="1" />
+		<edge from-layer="2581" from-port="2" to-layer="2583" to-port="0" />
+		<edge from-layer="2582" from-port="0" to-layer="2583" to-port="1" />
+		<edge from-layer="2583" from-port="2" to-layer="2599" to-port="0" />
+		<edge from-layer="2584" from-port="0" to-layer="2585" to-port="0" />
+		<edge from-layer="2585" from-port="1" to-layer="2588" to-port="0" />
+		<edge from-layer="2586" from-port="0" to-layer="2587" to-port="0" />
+		<edge from-layer="2587" from-port="1" to-layer="2588" to-port="1" />
+		<edge from-layer="2588" from-port="2" to-layer="2590" to-port="0" />
+		<edge from-layer="2589" from-port="0" to-layer="2590" to-port="1" />
+		<edge from-layer="2590" from-port="2" to-layer="2591" to-port="0" />
+		<edge from-layer="2591" from-port="1" to-layer="2592" to-port="1" />
+		<edge from-layer="2592" from-port="2" to-layer="2594" to-port="0" />
+		<edge from-layer="2593" from-port="0" to-layer="2594" to-port="1" />
+		<edge from-layer="2594" from-port="2" to-layer="2596" to-port="0" />
+		<edge from-layer="2595" from-port="0" to-layer="2596" to-port="1" />
+		<edge from-layer="2596" from-port="2" to-layer="2598" to-port="0" />
+		<edge from-layer="2597" from-port="0" to-layer="2598" to-port="1" />
+		<edge from-layer="2598" from-port="2" to-layer="2599" to-port="1" />
+		<edge from-layer="2599" from-port="2" to-layer="2601" to-port="0" />
+		<edge from-layer="2600" from-port="0" to-layer="2601" to-port="1" />
+		<edge from-layer="2601" from-port="2" to-layer="2603" to-port="0" />
+		<edge from-layer="2602" from-port="0" to-layer="2603" to-port="1" />
+		<edge from-layer="2603" from-port="2" to-layer="2605" to-port="0" />
+		<edge from-layer="2604" from-port="0" to-layer="2605" to-port="1" />
+		<edge from-layer="2605" from-port="2" to-layer="2607" to-port="0" />
+		<edge from-layer="2606" from-port="0" to-layer="2607" to-port="1" />
+		<edge from-layer="2607" from-port="2" to-layer="2609" to-port="0" />
+		<edge from-layer="2608" from-port="0" to-layer="2609" to-port="1" />
+		<edge from-layer="2609" from-port="2" to-layer="2610" to-port="0" />
+		<edge from-layer="2610" from-port="1" to-layer="2615" to-port="0" />
+		<edge from-layer="2611" from-port="0" to-layer="2615" to-port="1" />
+		<edge from-layer="2612" from-port="0" to-layer="2615" to-port="2" />
+		<edge from-layer="2613" from-port="0" to-layer="2615" to-port="3" />
+		<edge from-layer="2614" from-port="0" to-layer="2615" to-port="4" />
+		<edge from-layer="2615" from-port="5" to-layer="2620" to-port="0" />
+		<edge from-layer="2616" from-port="0" to-layer="2617" to-port="0" />
+		<edge from-layer="2617" from-port="1" to-layer="2619" to-port="0" />
+		<edge from-layer="2618" from-port="0" to-layer="2619" to-port="1" />
+		<edge from-layer="2619" from-port="2" to-layer="2620" to-port="1" />
+		<edge from-layer="2620" from-port="2" to-layer="2622" to-port="0" />
+		<edge from-layer="2621" from-port="0" to-layer="2622" to-port="1" />
+		<edge from-layer="2622" from-port="2" to-layer="2623" to-port="1" />
+		<edge from-layer="2623" from-port="2" to-layer="2624" to-port="0" />
+		<edge from-layer="2624" from-port="2" to-layer="2629" to-port="0" />
+		<edge from-layer="2624" from-port="2" to-layer="2638" to-port="0" />
+		<edge from-layer="2625" from-port="0" to-layer="2629" to-port="1" />
+		<edge from-layer="2626" from-port="0" to-layer="2629" to-port="2" />
+		<edge from-layer="2627" from-port="0" to-layer="2629" to-port="3" />
+		<edge from-layer="2628" from-port="0" to-layer="2629" to-port="4" />
+		<edge from-layer="2629" from-port="5" to-layer="2634" to-port="0" />
+		<edge from-layer="2630" from-port="0" to-layer="2631" to-port="0" />
+		<edge from-layer="2631" from-port="1" to-layer="2633" to-port="0" />
+		<edge from-layer="2632" from-port="0" to-layer="2633" to-port="1" />
+		<edge from-layer="2633" from-port="2" to-layer="2634" to-port="1" />
+		<edge from-layer="2634" from-port="2" to-layer="2636" to-port="0" />
+		<edge from-layer="2635" from-port="0" to-layer="2636" to-port="1" />
+		<edge from-layer="2636" from-port="2" to-layer="2699" to-port="0" />
+		<edge from-layer="2637" from-port="0" to-layer="2638" to-port="1" />
+		<edge from-layer="2638" from-port="2" to-layer="2640" to-port="0" />
+		<edge from-layer="2639" from-port="0" to-layer="2640" to-port="1" />
+		<edge from-layer="2640" from-port="2" to-layer="2642" to-port="0" />
+		<edge from-layer="2641" from-port="0" to-layer="2642" to-port="1" />
+		<edge from-layer="2642" from-port="2" to-layer="2644" to-port="0" />
+		<edge from-layer="2643" from-port="0" to-layer="2644" to-port="1" />
+		<edge from-layer="2644" from-port="2" to-layer="2646" to-port="0" />
+		<edge from-layer="2645" from-port="0" to-layer="2646" to-port="1" />
+		<edge from-layer="2646" from-port="2" to-layer="2647" to-port="0" />
+		<edge from-layer="2647" from-port="1" to-layer="2652" to-port="0" />
+		<edge from-layer="2648" from-port="0" to-layer="2652" to-port="1" />
+		<edge from-layer="2649" from-port="0" to-layer="2652" to-port="2" />
+		<edge from-layer="2650" from-port="0" to-layer="2652" to-port="3" />
+		<edge from-layer="2651" from-port="0" to-layer="2652" to-port="4" />
+		<edge from-layer="2652" from-port="5" to-layer="2657" to-port="0" />
+		<edge from-layer="2653" from-port="0" to-layer="2654" to-port="0" />
+		<edge from-layer="2654" from-port="1" to-layer="2656" to-port="0" />
+		<edge from-layer="2655" from-port="0" to-layer="2656" to-port="1" />
+		<edge from-layer="2656" from-port="2" to-layer="2657" to-port="1" />
+		<edge from-layer="2657" from-port="2" to-layer="2659" to-port="0" />
+		<edge from-layer="2658" from-port="0" to-layer="2659" to-port="1" />
+		<edge from-layer="2659" from-port="2" to-layer="2675" to-port="0" />
+		<edge from-layer="2660" from-port="0" to-layer="2661" to-port="0" />
+		<edge from-layer="2661" from-port="1" to-layer="2664" to-port="0" />
+		<edge from-layer="2662" from-port="0" to-layer="2663" to-port="0" />
+		<edge from-layer="2663" from-port="1" to-layer="2664" to-port="1" />
+		<edge from-layer="2664" from-port="2" to-layer="2666" to-port="0" />
+		<edge from-layer="2665" from-port="0" to-layer="2666" to-port="1" />
+		<edge from-layer="2666" from-port="2" to-layer="2667" to-port="0" />
+		<edge from-layer="2667" from-port="1" to-layer="2668" to-port="1" />
+		<edge from-layer="2668" from-port="2" to-layer="2670" to-port="0" />
+		<edge from-layer="2669" from-port="0" to-layer="2670" to-port="1" />
+		<edge from-layer="2670" from-port="2" to-layer="2672" to-port="0" />
+		<edge from-layer="2671" from-port="0" to-layer="2672" to-port="1" />
+		<edge from-layer="2672" from-port="2" to-layer="2674" to-port="0" />
+		<edge from-layer="2673" from-port="0" to-layer="2674" to-port="1" />
+		<edge from-layer="2674" from-port="2" to-layer="2675" to-port="1" />
+		<edge from-layer="2675" from-port="2" to-layer="2677" to-port="0" />
+		<edge from-layer="2676" from-port="0" to-layer="2677" to-port="1" />
+		<edge from-layer="2677" from-port="2" to-layer="2679" to-port="0" />
+		<edge from-layer="2678" from-port="0" to-layer="2679" to-port="1" />
+		<edge from-layer="2679" from-port="2" to-layer="2681" to-port="0" />
+		<edge from-layer="2680" from-port="0" to-layer="2681" to-port="1" />
+		<edge from-layer="2681" from-port="2" to-layer="2683" to-port="0" />
+		<edge from-layer="2682" from-port="0" to-layer="2683" to-port="1" />
+		<edge from-layer="2683" from-port="2" to-layer="2685" to-port="0" />
+		<edge from-layer="2684" from-port="0" to-layer="2685" to-port="1" />
+		<edge from-layer="2685" from-port="2" to-layer="2686" to-port="0" />
+		<edge from-layer="2686" from-port="1" to-layer="2691" to-port="0" />
+		<edge from-layer="2687" from-port="0" to-layer="2691" to-port="1" />
+		<edge from-layer="2688" from-port="0" to-layer="2691" to-port="2" />
+		<edge from-layer="2689" from-port="0" to-layer="2691" to-port="3" />
+		<edge from-layer="2690" from-port="0" to-layer="2691" to-port="4" />
+		<edge from-layer="2691" from-port="5" to-layer="2696" to-port="0" />
+		<edge from-layer="2692" from-port="0" to-layer="2693" to-port="0" />
+		<edge from-layer="2693" from-port="1" to-layer="2695" to-port="0" />
+		<edge from-layer="2694" from-port="0" to-layer="2695" to-port="1" />
+		<edge from-layer="2695" from-port="2" to-layer="2696" to-port="1" />
+		<edge from-layer="2696" from-port="2" to-layer="2698" to-port="0" />
+		<edge from-layer="2697" from-port="0" to-layer="2698" to-port="1" />
+		<edge from-layer="2698" from-port="2" to-layer="2699" to-port="1" />
+		<edge from-layer="2699" from-port="2" to-layer="2700" to-port="0" />
+		<edge from-layer="2700" from-port="2" to-layer="2705" to-port="0" />
+		<edge from-layer="2700" from-port="2" to-layer="2714" to-port="0" />
+		<edge from-layer="2701" from-port="0" to-layer="2705" to-port="1" />
+		<edge from-layer="2702" from-port="0" to-layer="2705" to-port="2" />
+		<edge from-layer="2703" from-port="0" to-layer="2705" to-port="3" />
+		<edge from-layer="2704" from-port="0" to-layer="2705" to-port="4" />
+		<edge from-layer="2705" from-port="5" to-layer="2710" to-port="0" />
+		<edge from-layer="2706" from-port="0" to-layer="2707" to-port="0" />
+		<edge from-layer="2707" from-port="1" to-layer="2709" to-port="0" />
+		<edge from-layer="2708" from-port="0" to-layer="2709" to-port="1" />
+		<edge from-layer="2709" from-port="2" to-layer="2710" to-port="1" />
+		<edge from-layer="2710" from-port="2" to-layer="2712" to-port="0" />
+		<edge from-layer="2711" from-port="0" to-layer="2712" to-port="1" />
+		<edge from-layer="2712" from-port="2" to-layer="2775" to-port="0" />
+		<edge from-layer="2713" from-port="0" to-layer="2714" to-port="1" />
+		<edge from-layer="2714" from-port="2" to-layer="2716" to-port="0" />
+		<edge from-layer="2715" from-port="0" to-layer="2716" to-port="1" />
+		<edge from-layer="2716" from-port="2" to-layer="2718" to-port="0" />
+		<edge from-layer="2717" from-port="0" to-layer="2718" to-port="1" />
+		<edge from-layer="2718" from-port="2" to-layer="2720" to-port="0" />
+		<edge from-layer="2719" from-port="0" to-layer="2720" to-port="1" />
+		<edge from-layer="2720" from-port="2" to-layer="2722" to-port="0" />
+		<edge from-layer="2721" from-port="0" to-layer="2722" to-port="1" />
+		<edge from-layer="2722" from-port="2" to-layer="2723" to-port="0" />
+		<edge from-layer="2723" from-port="1" to-layer="2728" to-port="0" />
+		<edge from-layer="2724" from-port="0" to-layer="2728" to-port="1" />
+		<edge from-layer="2725" from-port="0" to-layer="2728" to-port="2" />
+		<edge from-layer="2726" from-port="0" to-layer="2728" to-port="3" />
+		<edge from-layer="2727" from-port="0" to-layer="2728" to-port="4" />
+		<edge from-layer="2728" from-port="5" to-layer="2733" to-port="0" />
+		<edge from-layer="2729" from-port="0" to-layer="2730" to-port="0" />
+		<edge from-layer="2730" from-port="1" to-layer="2732" to-port="0" />
+		<edge from-layer="2731" from-port="0" to-layer="2732" to-port="1" />
+		<edge from-layer="2732" from-port="2" to-layer="2733" to-port="1" />
+		<edge from-layer="2733" from-port="2" to-layer="2735" to-port="0" />
+		<edge from-layer="2734" from-port="0" to-layer="2735" to-port="1" />
+		<edge from-layer="2735" from-port="2" to-layer="2751" to-port="0" />
+		<edge from-layer="2736" from-port="0" to-layer="2737" to-port="0" />
+		<edge from-layer="2737" from-port="1" to-layer="2740" to-port="0" />
+		<edge from-layer="2738" from-port="0" to-layer="2739" to-port="0" />
+		<edge from-layer="2739" from-port="1" to-layer="2740" to-port="1" />
+		<edge from-layer="2740" from-port="2" to-layer="2742" to-port="0" />
+		<edge from-layer="2741" from-port="0" to-layer="2742" to-port="1" />
+		<edge from-layer="2742" from-port="2" to-layer="2743" to-port="0" />
+		<edge from-layer="2743" from-port="1" to-layer="2744" to-port="1" />
+		<edge from-layer="2744" from-port="2" to-layer="2746" to-port="0" />
+		<edge from-layer="2745" from-port="0" to-layer="2746" to-port="1" />
+		<edge from-layer="2746" from-port="2" to-layer="2748" to-port="0" />
+		<edge from-layer="2747" from-port="0" to-layer="2748" to-port="1" />
+		<edge from-layer="2748" from-port="2" to-layer="2750" to-port="0" />
+		<edge from-layer="2749" from-port="0" to-layer="2750" to-port="1" />
+		<edge from-layer="2750" from-port="2" to-layer="2751" to-port="1" />
+		<edge from-layer="2751" from-port="2" to-layer="2753" to-port="0" />
+		<edge from-layer="2752" from-port="0" to-layer="2753" to-port="1" />
+		<edge from-layer="2753" from-port="2" to-layer="2755" to-port="0" />
+		<edge from-layer="2754" from-port="0" to-layer="2755" to-port="1" />
+		<edge from-layer="2755" from-port="2" to-layer="2757" to-port="0" />
+		<edge from-layer="2756" from-port="0" to-layer="2757" to-port="1" />
+		<edge from-layer="2757" from-port="2" to-layer="2759" to-port="0" />
+		<edge from-layer="2758" from-port="0" to-layer="2759" to-port="1" />
+		<edge from-layer="2759" from-port="2" to-layer="2761" to-port="0" />
+		<edge from-layer="2760" from-port="0" to-layer="2761" to-port="1" />
+		<edge from-layer="2761" from-port="2" to-layer="2762" to-port="0" />
+		<edge from-layer="2762" from-port="1" to-layer="2767" to-port="0" />
+		<edge from-layer="2763" from-port="0" to-layer="2767" to-port="1" />
+		<edge from-layer="2764" from-port="0" to-layer="2767" to-port="2" />
+		<edge from-layer="2765" from-port="0" to-layer="2767" to-port="3" />
+		<edge from-layer="2766" from-port="0" to-layer="2767" to-port="4" />
+		<edge from-layer="2767" from-port="5" to-layer="2772" to-port="0" />
+		<edge from-layer="2768" from-port="0" to-layer="2769" to-port="0" />
+		<edge from-layer="2769" from-port="1" to-layer="2771" to-port="0" />
+		<edge from-layer="2770" from-port="0" to-layer="2771" to-port="1" />
+		<edge from-layer="2771" from-port="2" to-layer="2772" to-port="1" />
+		<edge from-layer="2772" from-port="2" to-layer="2774" to-port="0" />
+		<edge from-layer="2773" from-port="0" to-layer="2774" to-port="1" />
+		<edge from-layer="2774" from-port="2" to-layer="2775" to-port="1" />
+		<edge from-layer="2775" from-port="2" to-layer="2776" to-port="0" />
+		<edge from-layer="2776" from-port="2" to-layer="2790" to-port="0" />
+		<edge from-layer="2776" from-port="2" to-layer="2781" to-port="0" />
+		<edge from-layer="2777" from-port="0" to-layer="2781" to-port="1" />
+		<edge from-layer="2778" from-port="0" to-layer="2781" to-port="2" />
+		<edge from-layer="2779" from-port="0" to-layer="2781" to-port="3" />
+		<edge from-layer="2780" from-port="0" to-layer="2781" to-port="4" />
+		<edge from-layer="2781" from-port="5" to-layer="2786" to-port="0" />
+		<edge from-layer="2782" from-port="0" to-layer="2783" to-port="0" />
+		<edge from-layer="2783" from-port="1" to-layer="2785" to-port="0" />
+		<edge from-layer="2784" from-port="0" to-layer="2785" to-port="1" />
+		<edge from-layer="2785" from-port="2" to-layer="2786" to-port="1" />
+		<edge from-layer="2786" from-port="2" to-layer="2788" to-port="0" />
+		<edge from-layer="2787" from-port="0" to-layer="2788" to-port="1" />
+		<edge from-layer="2788" from-port="2" to-layer="2851" to-port="0" />
+		<edge from-layer="2789" from-port="0" to-layer="2790" to-port="1" />
+		<edge from-layer="2790" from-port="2" to-layer="2792" to-port="0" />
+		<edge from-layer="2791" from-port="0" to-layer="2792" to-port="1" />
+		<edge from-layer="2792" from-port="2" to-layer="2794" to-port="0" />
+		<edge from-layer="2793" from-port="0" to-layer="2794" to-port="1" />
+		<edge from-layer="2794" from-port="2" to-layer="2796" to-port="0" />
+		<edge from-layer="2795" from-port="0" to-layer="2796" to-port="1" />
+		<edge from-layer="2796" from-port="2" to-layer="2798" to-port="0" />
+		<edge from-layer="2797" from-port="0" to-layer="2798" to-port="1" />
+		<edge from-layer="2798" from-port="2" to-layer="2799" to-port="0" />
+		<edge from-layer="2799" from-port="1" to-layer="2804" to-port="0" />
+		<edge from-layer="2800" from-port="0" to-layer="2804" to-port="1" />
+		<edge from-layer="2801" from-port="0" to-layer="2804" to-port="2" />
+		<edge from-layer="2802" from-port="0" to-layer="2804" to-port="3" />
+		<edge from-layer="2803" from-port="0" to-layer="2804" to-port="4" />
+		<edge from-layer="2804" from-port="5" to-layer="2809" to-port="0" />
+		<edge from-layer="2805" from-port="0" to-layer="2806" to-port="0" />
+		<edge from-layer="2806" from-port="1" to-layer="2808" to-port="0" />
+		<edge from-layer="2807" from-port="0" to-layer="2808" to-port="1" />
+		<edge from-layer="2808" from-port="2" to-layer="2809" to-port="1" />
+		<edge from-layer="2809" from-port="2" to-layer="2811" to-port="0" />
+		<edge from-layer="2810" from-port="0" to-layer="2811" to-port="1" />
+		<edge from-layer="2811" from-port="2" to-layer="2827" to-port="0" />
+		<edge from-layer="2812" from-port="0" to-layer="2813" to-port="0" />
+		<edge from-layer="2813" from-port="1" to-layer="2816" to-port="0" />
+		<edge from-layer="2814" from-port="0" to-layer="2815" to-port="0" />
+		<edge from-layer="2815" from-port="1" to-layer="2816" to-port="1" />
+		<edge from-layer="2816" from-port="2" to-layer="2818" to-port="0" />
+		<edge from-layer="2817" from-port="0" to-layer="2818" to-port="1" />
+		<edge from-layer="2818" from-port="2" to-layer="2819" to-port="0" />
+		<edge from-layer="2819" from-port="1" to-layer="2820" to-port="1" />
+		<edge from-layer="2820" from-port="2" to-layer="2822" to-port="0" />
+		<edge from-layer="2821" from-port="0" to-layer="2822" to-port="1" />
+		<edge from-layer="2822" from-port="2" to-layer="2824" to-port="0" />
+		<edge from-layer="2823" from-port="0" to-layer="2824" to-port="1" />
+		<edge from-layer="2824" from-port="2" to-layer="2826" to-port="0" />
+		<edge from-layer="2825" from-port="0" to-layer="2826" to-port="1" />
+		<edge from-layer="2826" from-port="2" to-layer="2827" to-port="1" />
+		<edge from-layer="2827" from-port="2" to-layer="2829" to-port="0" />
+		<edge from-layer="2828" from-port="0" to-layer="2829" to-port="1" />
+		<edge from-layer="2829" from-port="2" to-layer="2831" to-port="0" />
+		<edge from-layer="2830" from-port="0" to-layer="2831" to-port="1" />
+		<edge from-layer="2831" from-port="2" to-layer="2833" to-port="0" />
+		<edge from-layer="2832" from-port="0" to-layer="2833" to-port="1" />
+		<edge from-layer="2833" from-port="2" to-layer="2835" to-port="0" />
+		<edge from-layer="2834" from-port="0" to-layer="2835" to-port="1" />
+		<edge from-layer="2835" from-port="2" to-layer="2837" to-port="0" />
+		<edge from-layer="2836" from-port="0" to-layer="2837" to-port="1" />
+		<edge from-layer="2837" from-port="2" to-layer="2838" to-port="0" />
+		<edge from-layer="2838" from-port="1" to-layer="2843" to-port="0" />
+		<edge from-layer="2839" from-port="0" to-layer="2843" to-port="1" />
+		<edge from-layer="2840" from-port="0" to-layer="2843" to-port="2" />
+		<edge from-layer="2841" from-port="0" to-layer="2843" to-port="3" />
+		<edge from-layer="2842" from-port="0" to-layer="2843" to-port="4" />
+		<edge from-layer="2843" from-port="5" to-layer="2848" to-port="0" />
+		<edge from-layer="2844" from-port="0" to-layer="2845" to-port="0" />
+		<edge from-layer="2845" from-port="1" to-layer="2847" to-port="0" />
+		<edge from-layer="2846" from-port="0" to-layer="2847" to-port="1" />
+		<edge from-layer="2847" from-port="2" to-layer="2848" to-port="1" />
+		<edge from-layer="2848" from-port="2" to-layer="2850" to-port="0" />
+		<edge from-layer="2849" from-port="0" to-layer="2850" to-port="1" />
+		<edge from-layer="2850" from-port="2" to-layer="2851" to-port="1" />
+		<edge from-layer="2851" from-port="2" to-layer="2856" to-port="0" />
+		<edge from-layer="2852" from-port="0" to-layer="2856" to-port="1" />
+		<edge from-layer="2853" from-port="0" to-layer="2856" to-port="2" />
+		<edge from-layer="2854" from-port="0" to-layer="2856" to-port="3" />
+		<edge from-layer="2855" from-port="0" to-layer="2856" to-port="4" />
+		<edge from-layer="2856" from-port="5" to-layer="2858" to-port="0" />
+		<edge from-layer="2857" from-port="0" to-layer="2858" to-port="1" />
+		<edge from-layer="2858" from-port="2" to-layer="2863" to-port="0" />
+		<edge from-layer="2859" from-port="0" to-layer="2863" to-port="1" />
+		<edge from-layer="2860" from-port="0" to-layer="2863" to-port="2" />
+		<edge from-layer="2861" from-port="0" to-layer="2863" to-port="3" />
+		<edge from-layer="2862" from-port="0" to-layer="2863" to-port="4" />
+		<edge from-layer="2863" from-port="5" to-layer="2868" to-port="0" />
+		<edge from-layer="2864" from-port="0" to-layer="2865" to-port="0" />
+		<edge from-layer="2865" from-port="1" to-layer="2867" to-port="0" />
+		<edge from-layer="2866" from-port="0" to-layer="2867" to-port="1" />
+		<edge from-layer="2867" from-port="2" to-layer="2868" to-port="1" />
+		<edge from-layer="2868" from-port="2" to-layer="2870" to-port="0" />
+		<edge from-layer="2869" from-port="0" to-layer="2870" to-port="1" />
+		<edge from-layer="2870" from-port="2" to-layer="2871" to-port="0" />
+		<edge from-layer="2871" from-port="2" to-layer="2885" to-port="0" />
+		<edge from-layer="2871" from-port="2" to-layer="2876" to-port="0" />
+		<edge from-layer="2872" from-port="0" to-layer="2876" to-port="1" />
+		<edge from-layer="2873" from-port="0" to-layer="2876" to-port="2" />
+		<edge from-layer="2874" from-port="0" to-layer="2876" to-port="3" />
+		<edge from-layer="2875" from-port="0" to-layer="2876" to-port="4" />
+		<edge from-layer="2876" from-port="5" to-layer="2881" to-port="0" />
+		<edge from-layer="2877" from-port="0" to-layer="2878" to-port="0" />
+		<edge from-layer="2878" from-port="1" to-layer="2880" to-port="0" />
+		<edge from-layer="2879" from-port="0" to-layer="2880" to-port="1" />
+		<edge from-layer="2880" from-port="2" to-layer="2881" to-port="1" />
+		<edge from-layer="2881" from-port="2" to-layer="2883" to-port="0" />
+		<edge from-layer="2882" from-port="0" to-layer="2883" to-port="1" />
+		<edge from-layer="2883" from-port="2" to-layer="2946" to-port="0" />
+		<edge from-layer="2884" from-port="0" to-layer="2885" to-port="1" />
+		<edge from-layer="2885" from-port="2" to-layer="2887" to-port="0" />
+		<edge from-layer="2886" from-port="0" to-layer="2887" to-port="1" />
+		<edge from-layer="2887" from-port="2" to-layer="2889" to-port="0" />
+		<edge from-layer="2888" from-port="0" to-layer="2889" to-port="1" />
+		<edge from-layer="2889" from-port="2" to-layer="2891" to-port="0" />
+		<edge from-layer="2890" from-port="0" to-layer="2891" to-port="1" />
+		<edge from-layer="2891" from-port="2" to-layer="2893" to-port="0" />
+		<edge from-layer="2892" from-port="0" to-layer="2893" to-port="1" />
+		<edge from-layer="2893" from-port="2" to-layer="2894" to-port="0" />
+		<edge from-layer="2894" from-port="1" to-layer="2899" to-port="0" />
+		<edge from-layer="2895" from-port="0" to-layer="2899" to-port="1" />
+		<edge from-layer="2896" from-port="0" to-layer="2899" to-port="2" />
+		<edge from-layer="2897" from-port="0" to-layer="2899" to-port="3" />
+		<edge from-layer="2898" from-port="0" to-layer="2899" to-port="4" />
+		<edge from-layer="2899" from-port="5" to-layer="2904" to-port="0" />
+		<edge from-layer="2900" from-port="0" to-layer="2901" to-port="0" />
+		<edge from-layer="2901" from-port="1" to-layer="2903" to-port="0" />
+		<edge from-layer="2902" from-port="0" to-layer="2903" to-port="1" />
+		<edge from-layer="2903" from-port="2" to-layer="2904" to-port="1" />
+		<edge from-layer="2904" from-port="2" to-layer="2906" to-port="0" />
+		<edge from-layer="2905" from-port="0" to-layer="2906" to-port="1" />
+		<edge from-layer="2906" from-port="2" to-layer="2922" to-port="0" />
+		<edge from-layer="2907" from-port="0" to-layer="2908" to-port="0" />
+		<edge from-layer="2908" from-port="1" to-layer="2911" to-port="0" />
+		<edge from-layer="2909" from-port="0" to-layer="2910" to-port="0" />
+		<edge from-layer="2910" from-port="1" to-layer="2911" to-port="1" />
+		<edge from-layer="2911" from-port="2" to-layer="2913" to-port="0" />
+		<edge from-layer="2912" from-port="0" to-layer="2913" to-port="1" />
+		<edge from-layer="2913" from-port="2" to-layer="2914" to-port="0" />
+		<edge from-layer="2914" from-port="1" to-layer="2915" to-port="1" />
+		<edge from-layer="2915" from-port="2" to-layer="2917" to-port="0" />
+		<edge from-layer="2916" from-port="0" to-layer="2917" to-port="1" />
+		<edge from-layer="2917" from-port="2" to-layer="2919" to-port="0" />
+		<edge from-layer="2918" from-port="0" to-layer="2919" to-port="1" />
+		<edge from-layer="2919" from-port="2" to-layer="2921" to-port="0" />
+		<edge from-layer="2920" from-port="0" to-layer="2921" to-port="1" />
+		<edge from-layer="2921" from-port="2" to-layer="2922" to-port="1" />
+		<edge from-layer="2922" from-port="2" to-layer="2924" to-port="0" />
+		<edge from-layer="2923" from-port="0" to-layer="2924" to-port="1" />
+		<edge from-layer="2924" from-port="2" to-layer="2926" to-port="0" />
+		<edge from-layer="2925" from-port="0" to-layer="2926" to-port="1" />
+		<edge from-layer="2926" from-port="2" to-layer="2928" to-port="0" />
+		<edge from-layer="2927" from-port="0" to-layer="2928" to-port="1" />
+		<edge from-layer="2928" from-port="2" to-layer="2930" to-port="0" />
+		<edge from-layer="2929" from-port="0" to-layer="2930" to-port="1" />
+		<edge from-layer="2930" from-port="2" to-layer="2932" to-port="0" />
+		<edge from-layer="2931" from-port="0" to-layer="2932" to-port="1" />
+		<edge from-layer="2932" from-port="2" to-layer="2933" to-port="0" />
+		<edge from-layer="2933" from-port="1" to-layer="2938" to-port="0" />
+		<edge from-layer="2934" from-port="0" to-layer="2938" to-port="1" />
+		<edge from-layer="2935" from-port="0" to-layer="2938" to-port="2" />
+		<edge from-layer="2936" from-port="0" to-layer="2938" to-port="3" />
+		<edge from-layer="2937" from-port="0" to-layer="2938" to-port="4" />
+		<edge from-layer="2938" from-port="5" to-layer="2943" to-port="0" />
+		<edge from-layer="2939" from-port="0" to-layer="2940" to-port="0" />
+		<edge from-layer="2940" from-port="1" to-layer="2942" to-port="0" />
+		<edge from-layer="2941" from-port="0" to-layer="2942" to-port="1" />
+		<edge from-layer="2942" from-port="2" to-layer="2943" to-port="1" />
+		<edge from-layer="2943" from-port="2" to-layer="2945" to-port="0" />
+		<edge from-layer="2944" from-port="0" to-layer="2945" to-port="1" />
+		<edge from-layer="2945" from-port="2" to-layer="2946" to-port="1" />
+		<edge from-layer="2946" from-port="2" to-layer="3205" to-port="1" />
+		<edge from-layer="2946" from-port="2" to-layer="2948" to-port="0" />
+		<edge from-layer="2947" from-port="0" to-layer="2948" to-port="1" />
+		<edge from-layer="2948" from-port="2" to-layer="2950" to-port="0" />
+		<edge from-layer="2949" from-port="0" to-layer="2950" to-port="1" />
+		<edge from-layer="2950" from-port="2" to-layer="2952" to-port="0" />
+		<edge from-layer="2951" from-port="0" to-layer="2952" to-port="1" />
+		<edge from-layer="2952" from-port="2" to-layer="2954" to-port="0" />
+		<edge from-layer="2953" from-port="0" to-layer="2954" to-port="1" />
+		<edge from-layer="2954" from-port="2" to-layer="2956" to-port="0" />
+		<edge from-layer="2955" from-port="0" to-layer="2956" to-port="1" />
+		<edge from-layer="2956" from-port="2" to-layer="2961" to-port="0" />
+		<edge from-layer="2957" from-port="0" to-layer="2961" to-port="1" />
+		<edge from-layer="2958" from-port="0" to-layer="2961" to-port="2" />
+		<edge from-layer="2959" from-port="0" to-layer="2961" to-port="3" />
+		<edge from-layer="2960" from-port="0" to-layer="2961" to-port="4" />
+		<edge from-layer="2961" from-port="5" to-layer="2966" to-port="0" />
+		<edge from-layer="2962" from-port="0" to-layer="2963" to-port="0" />
+		<edge from-layer="2963" from-port="1" to-layer="2965" to-port="0" />
+		<edge from-layer="2964" from-port="0" to-layer="2965" to-port="1" />
+		<edge from-layer="2965" from-port="2" to-layer="2966" to-port="1" />
+		<edge from-layer="2966" from-port="2" to-layer="2968" to-port="0" />
+		<edge from-layer="2967" from-port="0" to-layer="2968" to-port="1" />
+		<edge from-layer="2968" from-port="2" to-layer="2970" to-port="0" />
+		<edge from-layer="2969" from-port="0" to-layer="2970" to-port="1" />
+		<edge from-layer="2970" from-port="2" to-layer="2972" to-port="0" />
+		<edge from-layer="2971" from-port="0" to-layer="2972" to-port="1" />
+		<edge from-layer="2972" from-port="2" to-layer="3058" to-port="1" />
+		<edge from-layer="2972" from-port="2" to-layer="2974" to-port="0" />
+		<edge from-layer="2973" from-port="0" to-layer="2974" to-port="1" />
+		<edge from-layer="2974" from-port="2" to-layer="2976" to-port="0" />
+		<edge from-layer="2975" from-port="0" to-layer="2976" to-port="1" />
+		<edge from-layer="2976" from-port="2" to-layer="2978" to-port="0" />
+		<edge from-layer="2977" from-port="0" to-layer="2978" to-port="1" />
+		<edge from-layer="2978" from-port="2" to-layer="3038" to-port="0" />
+		<edge from-layer="2978" from-port="2" to-layer="3017" to-port="0" />
+		<edge from-layer="2978" from-port="2" to-layer="2987" to-port="0" />
+		<edge from-layer="2979" from-port="0" to-layer="2980" to-port="0" />
+		<edge from-layer="2980" from-port="1" to-layer="2983" to-port="0" />
+		<edge from-layer="2981" from-port="0" to-layer="2982" to-port="0" />
+		<edge from-layer="2982" from-port="1" to-layer="2983" to-port="1" />
+		<edge from-layer="2983" from-port="2" to-layer="2985" to-port="0" />
+		<edge from-layer="2984" from-port="0" to-layer="2985" to-port="1" />
+		<edge from-layer="2985" from-port="2" to-layer="2986" to-port="0" />
+		<edge from-layer="2986" from-port="1" to-layer="2987" to-port="1" />
+		<edge from-layer="2987" from-port="2" to-layer="2989" to-port="0" />
+		<edge from-layer="2988" from-port="0" to-layer="2989" to-port="1" />
+		<edge from-layer="2989" from-port="2" to-layer="2991" to-port="0" />
+		<edge from-layer="2990" from-port="0" to-layer="2991" to-port="1" />
+		<edge from-layer="2991" from-port="2" to-layer="2993" to-port="0" />
+		<edge from-layer="2991" from-port="2" to-layer="3003" to-port="0" />
+		<edge from-layer="2992" from-port="0" to-layer="3001" to-port="0" />
+		<edge from-layer="2993" from-port="1" to-layer="2998" to-port="0" />
+		<edge from-layer="2994" from-port="0" to-layer="2998" to-port="1" />
+		<edge from-layer="2995" from-port="0" to-layer="2998" to-port="2" />
+		<edge from-layer="2996" from-port="0" to-layer="2998" to-port="3" />
+		<edge from-layer="2997" from-port="0" to-layer="2998" to-port="4" />
+		<edge from-layer="2998" from-port="5" to-layer="2999" to-port="0" />
+		<edge from-layer="2999" from-port="1" to-layer="3000" to-port="0" />
+		<edge from-layer="3000" from-port="1" to-layer="3001" to-port="1" />
+		<edge from-layer="3001" from-port="2" to-layer="3002" to-port="0" />
+		<edge from-layer="3002" from-port="1" to-layer="3003" to-port="1" />
+		<edge from-layer="3002" from-port="1" to-layer="3022" to-port="1" />
+		<edge from-layer="3003" from-port="2" to-layer="3008" to-port="0" />
+		<edge from-layer="3004" from-port="0" to-layer="3008" to-port="1" />
+		<edge from-layer="3005" from-port="0" to-layer="3008" to-port="2" />
+		<edge from-layer="3006" from-port="0" to-layer="3008" to-port="3" />
+		<edge from-layer="3007" from-port="0" to-layer="3008" to-port="4" />
+		<edge from-layer="3008" from-port="5" to-layer="3028" to-port="0" />
+		<edge from-layer="3009" from-port="0" to-layer="3010" to-port="0" />
+		<edge from-layer="3010" from-port="1" to-layer="3013" to-port="0" />
+		<edge from-layer="3011" from-port="0" to-layer="3012" to-port="0" />
+		<edge from-layer="3012" from-port="1" to-layer="3013" to-port="1" />
+		<edge from-layer="3013" from-port="2" to-layer="3015" to-port="0" />
+		<edge from-layer="3014" from-port="0" to-layer="3015" to-port="1" />
+		<edge from-layer="3015" from-port="2" to-layer="3016" to-port="0" />
+		<edge from-layer="3016" from-port="1" to-layer="3017" to-port="1" />
+		<edge from-layer="3017" from-port="2" to-layer="3019" to-port="0" />
+		<edge from-layer="3018" from-port="0" to-layer="3019" to-port="1" />
+		<edge from-layer="3019" from-port="2" to-layer="3021" to-port="0" />
+		<edge from-layer="3020" from-port="0" to-layer="3021" to-port="1" />
+		<edge from-layer="3021" from-port="2" to-layer="3022" to-port="0" />
+		<edge from-layer="3022" from-port="2" to-layer="3027" to-port="0" />
+		<edge from-layer="3023" from-port="0" to-layer="3027" to-port="1" />
+		<edge from-layer="3024" from-port="0" to-layer="3027" to-port="2" />
+		<edge from-layer="3025" from-port="0" to-layer="3027" to-port="3" />
+		<edge from-layer="3026" from-port="0" to-layer="3027" to-port="4" />
+		<edge from-layer="3027" from-port="5" to-layer="3028" to-port="1" />
+		<edge from-layer="3028" from-port="2" to-layer="3029" to-port="0" />
+		<edge from-layer="3029" from-port="1" to-layer="3043" to-port="0" />
+		<edge from-layer="3030" from-port="0" to-layer="3031" to-port="0" />
+		<edge from-layer="3031" from-port="1" to-layer="3034" to-port="0" />
+		<edge from-layer="3032" from-port="0" to-layer="3033" to-port="0" />
+		<edge from-layer="3033" from-port="1" to-layer="3034" to-port="1" />
+		<edge from-layer="3034" from-port="2" to-layer="3036" to-port="0" />
+		<edge from-layer="3035" from-port="0" to-layer="3036" to-port="1" />
+		<edge from-layer="3036" from-port="2" to-layer="3037" to-port="0" />
+		<edge from-layer="3037" from-port="1" to-layer="3038" to-port="1" />
+		<edge from-layer="3038" from-port="2" to-layer="3040" to-port="0" />
+		<edge from-layer="3039" from-port="0" to-layer="3040" to-port="1" />
+		<edge from-layer="3040" from-port="2" to-layer="3042" to-port="0" />
+		<edge from-layer="3041" from-port="0" to-layer="3042" to-port="1" />
+		<edge from-layer="3042" from-port="2" to-layer="3043" to-port="1" />
+		<edge from-layer="3043" from-port="2" to-layer="3045" to-port="0" />
+		<edge from-layer="3044" from-port="0" to-layer="3045" to-port="1" />
+		<edge from-layer="3045" from-port="2" to-layer="3047" to-port="0" />
+		<edge from-layer="3046" from-port="0" to-layer="3047" to-port="1" />
+		<edge from-layer="3047" from-port="2" to-layer="3056" to-port="0" />
+		<edge from-layer="3048" from-port="0" to-layer="3049" to-port="0" />
+		<edge from-layer="3049" from-port="1" to-layer="3052" to-port="0" />
+		<edge from-layer="3050" from-port="0" to-layer="3051" to-port="0" />
+		<edge from-layer="3051" from-port="1" to-layer="3052" to-port="1" />
+		<edge from-layer="3052" from-port="2" to-layer="3054" to-port="0" />
+		<edge from-layer="3053" from-port="0" to-layer="3054" to-port="1" />
+		<edge from-layer="3054" from-port="2" to-layer="3055" to-port="0" />
+		<edge from-layer="3055" from-port="1" to-layer="3056" to-port="1" />
+		<edge from-layer="3056" from-port="2" to-layer="3057" to-port="1" />
+		<edge from-layer="3057" from-port="2" to-layer="3058" to-port="0" />
+		<edge from-layer="3058" from-port="2" to-layer="3144" to-port="1" />
+		<edge from-layer="3058" from-port="2" to-layer="3060" to-port="0" />
+		<edge from-layer="3059" from-port="0" to-layer="3060" to-port="1" />
+		<edge from-layer="3060" from-port="2" to-layer="3062" to-port="0" />
+		<edge from-layer="3061" from-port="0" to-layer="3062" to-port="1" />
+		<edge from-layer="3062" from-port="2" to-layer="3064" to-port="0" />
+		<edge from-layer="3063" from-port="0" to-layer="3064" to-port="1" />
+		<edge from-layer="3064" from-port="2" to-layer="3073" to-port="0" />
+		<edge from-layer="3065" from-port="0" to-layer="3066" to-port="0" />
+		<edge from-layer="3066" from-port="1" to-layer="3069" to-port="0" />
+		<edge from-layer="3067" from-port="0" to-layer="3068" to-port="0" />
+		<edge from-layer="3068" from-port="1" to-layer="3069" to-port="1" />
+		<edge from-layer="3069" from-port="2" to-layer="3071" to-port="0" />
+		<edge from-layer="3070" from-port="0" to-layer="3071" to-port="1" />
+		<edge from-layer="3071" from-port="2" to-layer="3072" to-port="0" />
+		<edge from-layer="3072" from-port="1" to-layer="3073" to-port="1" />
+		<edge from-layer="3073" from-port="2" to-layer="3075" to-port="0" />
+		<edge from-layer="3074" from-port="0" to-layer="3075" to-port="1" />
+		<edge from-layer="3075" from-port="2" to-layer="3077" to-port="0" />
+		<edge from-layer="3076" from-port="0" to-layer="3077" to-port="1" />
+		<edge from-layer="3077" from-port="2" to-layer="3079" to-port="0" />
+		<edge from-layer="3077" from-port="2" to-layer="3089" to-port="0" />
+		<edge from-layer="3078" from-port="0" to-layer="3087" to-port="0" />
+		<edge from-layer="3079" from-port="1" to-layer="3084" to-port="0" />
+		<edge from-layer="3080" from-port="0" to-layer="3084" to-port="1" />
+		<edge from-layer="3081" from-port="0" to-layer="3084" to-port="2" />
+		<edge from-layer="3082" from-port="0" to-layer="3084" to-port="3" />
+		<edge from-layer="3083" from-port="0" to-layer="3084" to-port="4" />
+		<edge from-layer="3084" from-port="5" to-layer="3085" to-port="0" />
+		<edge from-layer="3085" from-port="1" to-layer="3086" to-port="0" />
+		<edge from-layer="3086" from-port="1" to-layer="3087" to-port="1" />
+		<edge from-layer="3087" from-port="2" to-layer="3088" to-port="0" />
+		<edge from-layer="3088" from-port="1" to-layer="3089" to-port="1" />
+		<edge from-layer="3088" from-port="1" to-layer="3108" to-port="1" />
+		<edge from-layer="3089" from-port="2" to-layer="3094" to-port="0" />
+		<edge from-layer="3090" from-port="0" to-layer="3094" to-port="1" />
+		<edge from-layer="3091" from-port="0" to-layer="3094" to-port="2" />
+		<edge from-layer="3092" from-port="0" to-layer="3094" to-port="3" />
+		<edge from-layer="3093" from-port="0" to-layer="3094" to-port="4" />
+		<edge from-layer="3094" from-port="5" to-layer="3114" to-port="0" />
+		<edge from-layer="3095" from-port="0" to-layer="3096" to-port="0" />
+		<edge from-layer="3096" from-port="1" to-layer="3099" to-port="0" />
+		<edge from-layer="3097" from-port="0" to-layer="3098" to-port="0" />
+		<edge from-layer="3098" from-port="1" to-layer="3099" to-port="1" />
+		<edge from-layer="3099" from-port="2" to-layer="3101" to-port="0" />
+		<edge from-layer="3100" from-port="0" to-layer="3101" to-port="1" />
+		<edge from-layer="3101" from-port="2" to-layer="3102" to-port="0" />
+		<edge from-layer="3102" from-port="1" to-layer="3103" to-port="1" />
+		<edge from-layer="3103" from-port="2" to-layer="3105" to-port="0" />
+		<edge from-layer="3104" from-port="0" to-layer="3105" to-port="1" />
+		<edge from-layer="3105" from-port="2" to-layer="3107" to-port="0" />
+		<edge from-layer="3106" from-port="0" to-layer="3107" to-port="1" />
+		<edge from-layer="3107" from-port="2" to-layer="3108" to-port="0" />
+		<edge from-layer="3108" from-port="2" to-layer="3113" to-port="0" />
+		<edge from-layer="3109" from-port="0" to-layer="3113" to-port="1" />
+		<edge from-layer="3110" from-port="0" to-layer="3113" to-port="2" />
+		<edge from-layer="3111" from-port="0" to-layer="3113" to-port="3" />
+		<edge from-layer="3112" from-port="0" to-layer="3113" to-port="4" />
+		<edge from-layer="3113" from-port="5" to-layer="3114" to-port="1" />
+		<edge from-layer="3114" from-port="2" to-layer="3115" to-port="0" />
+		<edge from-layer="3115" from-port="1" to-layer="3129" to-port="0" />
+		<edge from-layer="3116" from-port="0" to-layer="3117" to-port="0" />
+		<edge from-layer="3117" from-port="1" to-layer="3120" to-port="0" />
+		<edge from-layer="3118" from-port="0" to-layer="3119" to-port="0" />
+		<edge from-layer="3119" from-port="1" to-layer="3120" to-port="1" />
+		<edge from-layer="3120" from-port="2" to-layer="3122" to-port="0" />
+		<edge from-layer="3121" from-port="0" to-layer="3122" to-port="1" />
+		<edge from-layer="3122" from-port="2" to-layer="3123" to-port="0" />
+		<edge from-layer="3123" from-port="1" to-layer="3124" to-port="1" />
+		<edge from-layer="3124" from-port="2" to-layer="3126" to-port="0" />
+		<edge from-layer="3125" from-port="0" to-layer="3126" to-port="1" />
+		<edge from-layer="3126" from-port="2" to-layer="3128" to-port="0" />
+		<edge from-layer="3127" from-port="0" to-layer="3128" to-port="1" />
+		<edge from-layer="3128" from-port="2" to-layer="3129" to-port="1" />
+		<edge from-layer="3129" from-port="2" to-layer="3131" to-port="0" />
+		<edge from-layer="3130" from-port="0" to-layer="3131" to-port="1" />
+		<edge from-layer="3131" from-port="2" to-layer="3133" to-port="0" />
+		<edge from-layer="3132" from-port="0" to-layer="3133" to-port="1" />
+		<edge from-layer="3133" from-port="2" to-layer="3142" to-port="0" />
+		<edge from-layer="3134" from-port="0" to-layer="3135" to-port="0" />
+		<edge from-layer="3135" from-port="1" to-layer="3138" to-port="0" />
+		<edge from-layer="3136" from-port="0" to-layer="3137" to-port="0" />
+		<edge from-layer="3137" from-port="1" to-layer="3138" to-port="1" />
+		<edge from-layer="3138" from-port="2" to-layer="3140" to-port="0" />
+		<edge from-layer="3139" from-port="0" to-layer="3140" to-port="1" />
+		<edge from-layer="3140" from-port="2" to-layer="3141" to-port="0" />
+		<edge from-layer="3141" from-port="1" to-layer="3142" to-port="1" />
+		<edge from-layer="3142" from-port="2" to-layer="3143" to-port="1" />
+		<edge from-layer="3143" from-port="2" to-layer="3144" to-port="0" />
+		<edge from-layer="3144" from-port="2" to-layer="3146" to-port="0" />
+		<edge from-layer="3144" from-port="2" to-layer="3188" to-port="1" />
+		<edge from-layer="3145" from-port="0" to-layer="3146" to-port="1" />
+		<edge from-layer="3146" from-port="2" to-layer="3148" to-port="0" />
+		<edge from-layer="3147" from-port="0" to-layer="3148" to-port="1" />
+		<edge from-layer="3148" from-port="2" to-layer="3150" to-port="0" />
+		<edge from-layer="3149" from-port="0" to-layer="3150" to-port="1" />
+		<edge from-layer="3150" from-port="2" to-layer="3159" to-port="0" />
+		<edge from-layer="3151" from-port="0" to-layer="3152" to-port="0" />
+		<edge from-layer="3152" from-port="1" to-layer="3155" to-port="0" />
+		<edge from-layer="3153" from-port="0" to-layer="3154" to-port="0" />
+		<edge from-layer="3154" from-port="1" to-layer="3155" to-port="1" />
+		<edge from-layer="3155" from-port="2" to-layer="3157" to-port="0" />
+		<edge from-layer="3156" from-port="0" to-layer="3157" to-port="1" />
+		<edge from-layer="3157" from-port="2" to-layer="3158" to-port="0" />
+		<edge from-layer="3158" from-port="1" to-layer="3159" to-port="1" />
+		<edge from-layer="3159" from-port="2" to-layer="3160" to-port="1" />
+		<edge from-layer="3160" from-port="2" to-layer="3162" to-port="0" />
+		<edge from-layer="3160" from-port="2" to-layer="3175" to-port="0" />
+		<edge from-layer="3160" from-port="2" to-layer="3171" to-port="0" />
+		<edge from-layer="3161" from-port="0" to-layer="3171" to-port="1" />
+		<edge from-layer="3162" from-port="1" to-layer="3165" to-port="0" />
+		<edge from-layer="3163" from-port="0" to-layer="3175" to-port="4" />
+		<edge from-layer="3163" from-port="0" to-layer="3171" to-port="4" />
+		<edge from-layer="3163" from-port="0" to-layer="3165" to-port="1" />
+		<edge from-layer="3164" from-port="0" to-layer="3165" to-port="2" />
+		<edge from-layer="3165" from-port="3" to-layer="3167" to-port="0" />
+		<edge from-layer="3166" from-port="0" to-layer="3167" to-port="1" />
+		<edge from-layer="3167" from-port="2" to-layer="3169" to-port="0" />
+		<edge from-layer="3168" from-port="0" to-layer="3169" to-port="1" />
+		<edge from-layer="3169" from-port="2" to-layer="3171" to-port="2" />
+		<edge from-layer="3169" from-port="2" to-layer="3173" to-port="0" />
+		<edge from-layer="3169" from-port="2" to-layer="3175" to-port="1" />
+		<edge from-layer="3170" from-port="0" to-layer="3171" to-port="3" />
+		<edge from-layer="3171" from-port="5" to-layer="3177" to-port="0" />
+		<edge from-layer="3172" from-port="0" to-layer="3173" to-port="1" />
+		<edge from-layer="3173" from-port="2" to-layer="3175" to-port="2" />
+		<edge from-layer="3174" from-port="0" to-layer="3175" to-port="3" />
+		<edge from-layer="3175" from-port="5" to-layer="3176" to-port="0" />
+		<edge from-layer="3176" from-port="1" to-layer="3177" to-port="1" />
+		<edge from-layer="3177" from-port="2" to-layer="3186" to-port="0" />
+		<edge from-layer="3178" from-port="0" to-layer="3179" to-port="0" />
+		<edge from-layer="3179" from-port="1" to-layer="3182" to-port="0" />
+		<edge from-layer="3180" from-port="0" to-layer="3181" to-port="0" />
+		<edge from-layer="3181" from-port="1" to-layer="3182" to-port="1" />
+		<edge from-layer="3182" from-port="2" to-layer="3184" to-port="0" />
+		<edge from-layer="3183" from-port="0" to-layer="3184" to-port="1" />
+		<edge from-layer="3184" from-port="2" to-layer="3185" to-port="0" />
+		<edge from-layer="3185" from-port="1" to-layer="3186" to-port="1" />
+		<edge from-layer="3186" from-port="2" to-layer="3187" to-port="1" />
+		<edge from-layer="3187" from-port="2" to-layer="3188" to-port="0" />
+		<edge from-layer="3188" from-port="2" to-layer="3193" to-port="0" />
+		<edge from-layer="3189" from-port="0" to-layer="3193" to-port="1" />
+		<edge from-layer="3190" from-port="0" to-layer="3193" to-port="2" />
+		<edge from-layer="3191" from-port="0" to-layer="3193" to-port="3" />
+		<edge from-layer="3192" from-port="0" to-layer="3193" to-port="4" />
+		<edge from-layer="3193" from-port="5" to-layer="3195" to-port="0" />
+		<edge from-layer="3194" from-port="0" to-layer="3195" to-port="1" />
+		<edge from-layer="3195" from-port="2" to-layer="3197" to-port="0" />
+		<edge from-layer="3196" from-port="0" to-layer="3197" to-port="1" />
+		<edge from-layer="3197" from-port="2" to-layer="3202" to-port="0" />
+		<edge from-layer="3198" from-port="0" to-layer="3199" to-port="0" />
+		<edge from-layer="3199" from-port="1" to-layer="3201" to-port="0" />
+		<edge from-layer="3200" from-port="0" to-layer="3201" to-port="1" />
+		<edge from-layer="3201" from-port="2" to-layer="3202" to-port="1" />
+		<edge from-layer="3202" from-port="2" to-layer="3204" to-port="0" />
+		<edge from-layer="3203" from-port="0" to-layer="3204" to-port="1" />
+		<edge from-layer="3204" from-port="2" to-layer="3205" to-port="0" />
+		<edge from-layer="3205" from-port="2" to-layer="3206" to-port="0" />
+		<edge from-layer="3206" from-port="2" to-layer="3220" to-port="0" />
+		<edge from-layer="3206" from-port="2" to-layer="3211" to-port="0" />
+		<edge from-layer="3207" from-port="0" to-layer="3211" to-port="1" />
+		<edge from-layer="3208" from-port="0" to-layer="3211" to-port="2" />
+		<edge from-layer="3209" from-port="0" to-layer="3211" to-port="3" />
+		<edge from-layer="3210" from-port="0" to-layer="3211" to-port="4" />
+		<edge from-layer="3211" from-port="5" to-layer="3216" to-port="0" />
+		<edge from-layer="3212" from-port="0" to-layer="3213" to-port="0" />
+		<edge from-layer="3213" from-port="1" to-layer="3215" to-port="0" />
+		<edge from-layer="3214" from-port="0" to-layer="3215" to-port="1" />
+		<edge from-layer="3215" from-port="2" to-layer="3216" to-port="1" />
+		<edge from-layer="3216" from-port="2" to-layer="3218" to-port="0" />
+		<edge from-layer="3217" from-port="0" to-layer="3218" to-port="1" />
+		<edge from-layer="3218" from-port="2" to-layer="3281" to-port="0" />
+		<edge from-layer="3219" from-port="0" to-layer="3220" to-port="1" />
+		<edge from-layer="3220" from-port="2" to-layer="3222" to-port="0" />
+		<edge from-layer="3221" from-port="0" to-layer="3222" to-port="1" />
+		<edge from-layer="3222" from-port="2" to-layer="3224" to-port="0" />
+		<edge from-layer="3223" from-port="0" to-layer="3224" to-port="1" />
+		<edge from-layer="3224" from-port="2" to-layer="3226" to-port="0" />
+		<edge from-layer="3225" from-port="0" to-layer="3226" to-port="1" />
+		<edge from-layer="3226" from-port="2" to-layer="3228" to-port="0" />
+		<edge from-layer="3227" from-port="0" to-layer="3228" to-port="1" />
+		<edge from-layer="3228" from-port="2" to-layer="3229" to-port="0" />
+		<edge from-layer="3229" from-port="1" to-layer="3234" to-port="0" />
+		<edge from-layer="3230" from-port="0" to-layer="3234" to-port="1" />
+		<edge from-layer="3231" from-port="0" to-layer="3234" to-port="2" />
+		<edge from-layer="3232" from-port="0" to-layer="3234" to-port="3" />
+		<edge from-layer="3233" from-port="0" to-layer="3234" to-port="4" />
+		<edge from-layer="3234" from-port="5" to-layer="3239" to-port="0" />
+		<edge from-layer="3235" from-port="0" to-layer="3236" to-port="0" />
+		<edge from-layer="3236" from-port="1" to-layer="3238" to-port="0" />
+		<edge from-layer="3237" from-port="0" to-layer="3238" to-port="1" />
+		<edge from-layer="3238" from-port="2" to-layer="3239" to-port="1" />
+		<edge from-layer="3239" from-port="2" to-layer="3241" to-port="0" />
+		<edge from-layer="3240" from-port="0" to-layer="3241" to-port="1" />
+		<edge from-layer="3241" from-port="2" to-layer="3257" to-port="0" />
+		<edge from-layer="3242" from-port="0" to-layer="3243" to-port="0" />
+		<edge from-layer="3243" from-port="1" to-layer="3246" to-port="0" />
+		<edge from-layer="3244" from-port="0" to-layer="3245" to-port="0" />
+		<edge from-layer="3245" from-port="1" to-layer="3246" to-port="1" />
+		<edge from-layer="3246" from-port="2" to-layer="3248" to-port="0" />
+		<edge from-layer="3247" from-port="0" to-layer="3248" to-port="1" />
+		<edge from-layer="3248" from-port="2" to-layer="3249" to-port="0" />
+		<edge from-layer="3249" from-port="1" to-layer="3250" to-port="1" />
+		<edge from-layer="3250" from-port="2" to-layer="3252" to-port="0" />
+		<edge from-layer="3251" from-port="0" to-layer="3252" to-port="1" />
+		<edge from-layer="3252" from-port="2" to-layer="3254" to-port="0" />
+		<edge from-layer="3253" from-port="0" to-layer="3254" to-port="1" />
+		<edge from-layer="3254" from-port="2" to-layer="3256" to-port="0" />
+		<edge from-layer="3255" from-port="0" to-layer="3256" to-port="1" />
+		<edge from-layer="3256" from-port="2" to-layer="3257" to-port="1" />
+		<edge from-layer="3257" from-port="2" to-layer="3259" to-port="0" />
+		<edge from-layer="3258" from-port="0" to-layer="3259" to-port="1" />
+		<edge from-layer="3259" from-port="2" to-layer="3261" to-port="0" />
+		<edge from-layer="3260" from-port="0" to-layer="3261" to-port="1" />
+		<edge from-layer="3261" from-port="2" to-layer="3263" to-port="0" />
+		<edge from-layer="3262" from-port="0" to-layer="3263" to-port="1" />
+		<edge from-layer="3263" from-port="2" to-layer="3265" to-port="0" />
+		<edge from-layer="3264" from-port="0" to-layer="3265" to-port="1" />
+		<edge from-layer="3265" from-port="2" to-layer="3267" to-port="0" />
+		<edge from-layer="3266" from-port="0" to-layer="3267" to-port="1" />
+		<edge from-layer="3267" from-port="2" to-layer="3268" to-port="0" />
+		<edge from-layer="3268" from-port="1" to-layer="3273" to-port="0" />
+		<edge from-layer="3269" from-port="0" to-layer="3273" to-port="1" />
+		<edge from-layer="3270" from-port="0" to-layer="3273" to-port="2" />
+		<edge from-layer="3271" from-port="0" to-layer="3273" to-port="3" />
+		<edge from-layer="3272" from-port="0" to-layer="3273" to-port="4" />
+		<edge from-layer="3273" from-port="5" to-layer="3278" to-port="0" />
+		<edge from-layer="3274" from-port="0" to-layer="3275" to-port="0" />
+		<edge from-layer="3275" from-port="1" to-layer="3277" to-port="0" />
+		<edge from-layer="3276" from-port="0" to-layer="3277" to-port="1" />
+		<edge from-layer="3277" from-port="2" to-layer="3278" to-port="1" />
+		<edge from-layer="3278" from-port="2" to-layer="3280" to-port="0" />
+		<edge from-layer="3279" from-port="0" to-layer="3280" to-port="1" />
+		<edge from-layer="3280" from-port="2" to-layer="3281" to-port="1" />
+		<edge from-layer="3281" from-port="2" to-layer="3540" to-port="1" />
+		<edge from-layer="3281" from-port="2" to-layer="3283" to-port="0" />
+		<edge from-layer="3282" from-port="0" to-layer="3283" to-port="1" />
+		<edge from-layer="3283" from-port="2" to-layer="3285" to-port="0" />
+		<edge from-layer="3284" from-port="0" to-layer="3285" to-port="1" />
+		<edge from-layer="3285" from-port="2" to-layer="3287" to-port="0" />
+		<edge from-layer="3286" from-port="0" to-layer="3287" to-port="1" />
+		<edge from-layer="3287" from-port="2" to-layer="3289" to-port="0" />
+		<edge from-layer="3288" from-port="0" to-layer="3289" to-port="1" />
+		<edge from-layer="3289" from-port="2" to-layer="3291" to-port="0" />
+		<edge from-layer="3290" from-port="0" to-layer="3291" to-port="1" />
+		<edge from-layer="3291" from-port="2" to-layer="3296" to-port="0" />
+		<edge from-layer="3292" from-port="0" to-layer="3296" to-port="1" />
+		<edge from-layer="3293" from-port="0" to-layer="3296" to-port="2" />
+		<edge from-layer="3294" from-port="0" to-layer="3296" to-port="3" />
+		<edge from-layer="3295" from-port="0" to-layer="3296" to-port="4" />
+		<edge from-layer="3296" from-port="5" to-layer="3301" to-port="0" />
+		<edge from-layer="3297" from-port="0" to-layer="3298" to-port="0" />
+		<edge from-layer="3298" from-port="1" to-layer="3300" to-port="0" />
+		<edge from-layer="3299" from-port="0" to-layer="3300" to-port="1" />
+		<edge from-layer="3300" from-port="2" to-layer="3301" to-port="1" />
+		<edge from-layer="3301" from-port="2" to-layer="3303" to-port="0" />
+		<edge from-layer="3302" from-port="0" to-layer="3303" to-port="1" />
+		<edge from-layer="3303" from-port="2" to-layer="3305" to-port="0" />
+		<edge from-layer="3304" from-port="0" to-layer="3305" to-port="1" />
+		<edge from-layer="3305" from-port="2" to-layer="3307" to-port="0" />
+		<edge from-layer="3306" from-port="0" to-layer="3307" to-port="1" />
+		<edge from-layer="3307" from-port="2" to-layer="3393" to-port="1" />
+		<edge from-layer="3307" from-port="2" to-layer="3309" to-port="0" />
+		<edge from-layer="3308" from-port="0" to-layer="3309" to-port="1" />
+		<edge from-layer="3309" from-port="2" to-layer="3311" to-port="0" />
+		<edge from-layer="3310" from-port="0" to-layer="3311" to-port="1" />
+		<edge from-layer="3311" from-port="2" to-layer="3313" to-port="0" />
+		<edge from-layer="3312" from-port="0" to-layer="3313" to-port="1" />
+		<edge from-layer="3313" from-port="2" to-layer="3373" to-port="0" />
+		<edge from-layer="3313" from-port="2" to-layer="3352" to-port="0" />
+		<edge from-layer="3313" from-port="2" to-layer="3322" to-port="0" />
+		<edge from-layer="3314" from-port="0" to-layer="3315" to-port="0" />
+		<edge from-layer="3315" from-port="1" to-layer="3318" to-port="0" />
+		<edge from-layer="3316" from-port="0" to-layer="3317" to-port="0" />
+		<edge from-layer="3317" from-port="1" to-layer="3318" to-port="1" />
+		<edge from-layer="3318" from-port="2" to-layer="3320" to-port="0" />
+		<edge from-layer="3319" from-port="0" to-layer="3320" to-port="1" />
+		<edge from-layer="3320" from-port="2" to-layer="3321" to-port="0" />
+		<edge from-layer="3321" from-port="1" to-layer="3322" to-port="1" />
+		<edge from-layer="3322" from-port="2" to-layer="3324" to-port="0" />
+		<edge from-layer="3323" from-port="0" to-layer="3324" to-port="1" />
+		<edge from-layer="3324" from-port="2" to-layer="3326" to-port="0" />
+		<edge from-layer="3325" from-port="0" to-layer="3326" to-port="1" />
+		<edge from-layer="3326" from-port="2" to-layer="3338" to-port="0" />
+		<edge from-layer="3326" from-port="2" to-layer="3328" to-port="0" />
+		<edge from-layer="3327" from-port="0" to-layer="3336" to-port="0" />
+		<edge from-layer="3328" from-port="1" to-layer="3333" to-port="0" />
+		<edge from-layer="3329" from-port="0" to-layer="3333" to-port="1" />
+		<edge from-layer="3330" from-port="0" to-layer="3333" to-port="2" />
+		<edge from-layer="3331" from-port="0" to-layer="3333" to-port="3" />
+		<edge from-layer="3332" from-port="0" to-layer="3333" to-port="4" />
+		<edge from-layer="3333" from-port="5" to-layer="3334" to-port="0" />
+		<edge from-layer="3334" from-port="1" to-layer="3335" to-port="0" />
+		<edge from-layer="3335" from-port="1" to-layer="3336" to-port="1" />
+		<edge from-layer="3336" from-port="2" to-layer="3337" to-port="0" />
+		<edge from-layer="3337" from-port="1" to-layer="3338" to-port="1" />
+		<edge from-layer="3337" from-port="1" to-layer="3357" to-port="1" />
+		<edge from-layer="3338" from-port="2" to-layer="3343" to-port="0" />
+		<edge from-layer="3339" from-port="0" to-layer="3343" to-port="1" />
+		<edge from-layer="3340" from-port="0" to-layer="3343" to-port="2" />
+		<edge from-layer="3341" from-port="0" to-layer="3343" to-port="3" />
+		<edge from-layer="3342" from-port="0" to-layer="3343" to-port="4" />
+		<edge from-layer="3343" from-port="5" to-layer="3363" to-port="0" />
+		<edge from-layer="3344" from-port="0" to-layer="3345" to-port="0" />
+		<edge from-layer="3345" from-port="1" to-layer="3348" to-port="0" />
+		<edge from-layer="3346" from-port="0" to-layer="3347" to-port="0" />
+		<edge from-layer="3347" from-port="1" to-layer="3348" to-port="1" />
+		<edge from-layer="3348" from-port="2" to-layer="3350" to-port="0" />
+		<edge from-layer="3349" from-port="0" to-layer="3350" to-port="1" />
+		<edge from-layer="3350" from-port="2" to-layer="3351" to-port="0" />
+		<edge from-layer="3351" from-port="1" to-layer="3352" to-port="1" />
+		<edge from-layer="3352" from-port="2" to-layer="3354" to-port="0" />
+		<edge from-layer="3353" from-port="0" to-layer="3354" to-port="1" />
+		<edge from-layer="3354" from-port="2" to-layer="3356" to-port="0" />
+		<edge from-layer="3355" from-port="0" to-layer="3356" to-port="1" />
+		<edge from-layer="3356" from-port="2" to-layer="3357" to-port="0" />
+		<edge from-layer="3357" from-port="2" to-layer="3362" to-port="0" />
+		<edge from-layer="3358" from-port="0" to-layer="3362" to-port="1" />
+		<edge from-layer="3359" from-port="0" to-layer="3362" to-port="2" />
+		<edge from-layer="3360" from-port="0" to-layer="3362" to-port="3" />
+		<edge from-layer="3361" from-port="0" to-layer="3362" to-port="4" />
+		<edge from-layer="3362" from-port="5" to-layer="3363" to-port="1" />
+		<edge from-layer="3363" from-port="2" to-layer="3364" to-port="0" />
+		<edge from-layer="3364" from-port="1" to-layer="3378" to-port="0" />
+		<edge from-layer="3365" from-port="0" to-layer="3366" to-port="0" />
+		<edge from-layer="3366" from-port="1" to-layer="3369" to-port="0" />
+		<edge from-layer="3367" from-port="0" to-layer="3368" to-port="0" />
+		<edge from-layer="3368" from-port="1" to-layer="3369" to-port="1" />
+		<edge from-layer="3369" from-port="2" to-layer="3371" to-port="0" />
+		<edge from-layer="3370" from-port="0" to-layer="3371" to-port="1" />
+		<edge from-layer="3371" from-port="2" to-layer="3372" to-port="0" />
+		<edge from-layer="3372" from-port="1" to-layer="3373" to-port="1" />
+		<edge from-layer="3373" from-port="2" to-layer="3375" to-port="0" />
+		<edge from-layer="3374" from-port="0" to-layer="3375" to-port="1" />
+		<edge from-layer="3375" from-port="2" to-layer="3377" to-port="0" />
+		<edge from-layer="3376" from-port="0" to-layer="3377" to-port="1" />
+		<edge from-layer="3377" from-port="2" to-layer="3378" to-port="1" />
+		<edge from-layer="3378" from-port="2" to-layer="3380" to-port="0" />
+		<edge from-layer="3379" from-port="0" to-layer="3380" to-port="1" />
+		<edge from-layer="3380" from-port="2" to-layer="3382" to-port="0" />
+		<edge from-layer="3381" from-port="0" to-layer="3382" to-port="1" />
+		<edge from-layer="3382" from-port="2" to-layer="3391" to-port="0" />
+		<edge from-layer="3383" from-port="0" to-layer="3384" to-port="0" />
+		<edge from-layer="3384" from-port="1" to-layer="3387" to-port="0" />
+		<edge from-layer="3385" from-port="0" to-layer="3386" to-port="0" />
+		<edge from-layer="3386" from-port="1" to-layer="3387" to-port="1" />
+		<edge from-layer="3387" from-port="2" to-layer="3389" to-port="0" />
+		<edge from-layer="3388" from-port="0" to-layer="3389" to-port="1" />
+		<edge from-layer="3389" from-port="2" to-layer="3390" to-port="0" />
+		<edge from-layer="3390" from-port="1" to-layer="3391" to-port="1" />
+		<edge from-layer="3391" from-port="2" to-layer="3392" to-port="1" />
+		<edge from-layer="3392" from-port="2" to-layer="3393" to-port="0" />
+		<edge from-layer="3393" from-port="2" to-layer="3395" to-port="0" />
+		<edge from-layer="3393" from-port="2" to-layer="3479" to-port="1" />
+		<edge from-layer="3394" from-port="0" to-layer="3395" to-port="1" />
+		<edge from-layer="3395" from-port="2" to-layer="3397" to-port="0" />
+		<edge from-layer="3396" from-port="0" to-layer="3397" to-port="1" />
+		<edge from-layer="3397" from-port="2" to-layer="3399" to-port="0" />
+		<edge from-layer="3398" from-port="0" to-layer="3399" to-port="1" />
+		<edge from-layer="3399" from-port="2" to-layer="3408" to-port="0" />
+		<edge from-layer="3400" from-port="0" to-layer="3401" to-port="0" />
+		<edge from-layer="3401" from-port="1" to-layer="3404" to-port="0" />
+		<edge from-layer="3402" from-port="0" to-layer="3403" to-port="0" />
+		<edge from-layer="3403" from-port="1" to-layer="3404" to-port="1" />
+		<edge from-layer="3404" from-port="2" to-layer="3406" to-port="0" />
+		<edge from-layer="3405" from-port="0" to-layer="3406" to-port="1" />
+		<edge from-layer="3406" from-port="2" to-layer="3407" to-port="0" />
+		<edge from-layer="3407" from-port="1" to-layer="3408" to-port="1" />
+		<edge from-layer="3408" from-port="2" to-layer="3410" to-port="0" />
+		<edge from-layer="3409" from-port="0" to-layer="3410" to-port="1" />
+		<edge from-layer="3410" from-port="2" to-layer="3412" to-port="0" />
+		<edge from-layer="3411" from-port="0" to-layer="3412" to-port="1" />
+		<edge from-layer="3412" from-port="2" to-layer="3414" to-port="0" />
+		<edge from-layer="3412" from-port="2" to-layer="3424" to-port="0" />
+		<edge from-layer="3413" from-port="0" to-layer="3422" to-port="0" />
+		<edge from-layer="3414" from-port="1" to-layer="3419" to-port="0" />
+		<edge from-layer="3415" from-port="0" to-layer="3419" to-port="1" />
+		<edge from-layer="3416" from-port="0" to-layer="3419" to-port="2" />
+		<edge from-layer="3417" from-port="0" to-layer="3419" to-port="3" />
+		<edge from-layer="3418" from-port="0" to-layer="3419" to-port="4" />
+		<edge from-layer="3419" from-port="5" to-layer="3420" to-port="0" />
+		<edge from-layer="3420" from-port="1" to-layer="3421" to-port="0" />
+		<edge from-layer="3421" from-port="1" to-layer="3422" to-port="1" />
+		<edge from-layer="3422" from-port="2" to-layer="3423" to-port="0" />
+		<edge from-layer="3423" from-port="1" to-layer="3443" to-port="1" />
+		<edge from-layer="3423" from-port="1" to-layer="3424" to-port="1" />
+		<edge from-layer="3424" from-port="2" to-layer="3429" to-port="0" />
+		<edge from-layer="3425" from-port="0" to-layer="3429" to-port="1" />
+		<edge from-layer="3426" from-port="0" to-layer="3429" to-port="2" />
+		<edge from-layer="3427" from-port="0" to-layer="3429" to-port="3" />
+		<edge from-layer="3428" from-port="0" to-layer="3429" to-port="4" />
+		<edge from-layer="3429" from-port="5" to-layer="3449" to-port="0" />
+		<edge from-layer="3430" from-port="0" to-layer="3431" to-port="0" />
+		<edge from-layer="3431" from-port="1" to-layer="3434" to-port="0" />
+		<edge from-layer="3432" from-port="0" to-layer="3433" to-port="0" />
+		<edge from-layer="3433" from-port="1" to-layer="3434" to-port="1" />
+		<edge from-layer="3434" from-port="2" to-layer="3436" to-port="0" />
+		<edge from-layer="3435" from-port="0" to-layer="3436" to-port="1" />
+		<edge from-layer="3436" from-port="2" to-layer="3437" to-port="0" />
+		<edge from-layer="3437" from-port="1" to-layer="3438" to-port="1" />
+		<edge from-layer="3438" from-port="2" to-layer="3440" to-port="0" />
+		<edge from-layer="3439" from-port="0" to-layer="3440" to-port="1" />
+		<edge from-layer="3440" from-port="2" to-layer="3442" to-port="0" />
+		<edge from-layer="3441" from-port="0" to-layer="3442" to-port="1" />
+		<edge from-layer="3442" from-port="2" to-layer="3443" to-port="0" />
+		<edge from-layer="3443" from-port="2" to-layer="3448" to-port="0" />
+		<edge from-layer="3444" from-port="0" to-layer="3448" to-port="1" />
+		<edge from-layer="3445" from-port="0" to-layer="3448" to-port="2" />
+		<edge from-layer="3446" from-port="0" to-layer="3448" to-port="3" />
+		<edge from-layer="3447" from-port="0" to-layer="3448" to-port="4" />
+		<edge from-layer="3448" from-port="5" to-layer="3449" to-port="1" />
+		<edge from-layer="3449" from-port="2" to-layer="3450" to-port="0" />
+		<edge from-layer="3450" from-port="1" to-layer="3464" to-port="0" />
+		<edge from-layer="3451" from-port="0" to-layer="3452" to-port="0" />
+		<edge from-layer="3452" from-port="1" to-layer="3455" to-port="0" />
+		<edge from-layer="3453" from-port="0" to-layer="3454" to-port="0" />
+		<edge from-layer="3454" from-port="1" to-layer="3455" to-port="1" />
+		<edge from-layer="3455" from-port="2" to-layer="3457" to-port="0" />
+		<edge from-layer="3456" from-port="0" to-layer="3457" to-port="1" />
+		<edge from-layer="3457" from-port="2" to-layer="3458" to-port="0" />
+		<edge from-layer="3458" from-port="1" to-layer="3459" to-port="1" />
+		<edge from-layer="3459" from-port="2" to-layer="3461" to-port="0" />
+		<edge from-layer="3460" from-port="0" to-layer="3461" to-port="1" />
+		<edge from-layer="3461" from-port="2" to-layer="3463" to-port="0" />
+		<edge from-layer="3462" from-port="0" to-layer="3463" to-port="1" />
+		<edge from-layer="3463" from-port="2" to-layer="3464" to-port="1" />
+		<edge from-layer="3464" from-port="2" to-layer="3466" to-port="0" />
+		<edge from-layer="3465" from-port="0" to-layer="3466" to-port="1" />
+		<edge from-layer="3466" from-port="2" to-layer="3468" to-port="0" />
+		<edge from-layer="3467" from-port="0" to-layer="3468" to-port="1" />
+		<edge from-layer="3468" from-port="2" to-layer="3477" to-port="0" />
+		<edge from-layer="3469" from-port="0" to-layer="3470" to-port="0" />
+		<edge from-layer="3470" from-port="1" to-layer="3473" to-port="0" />
+		<edge from-layer="3471" from-port="0" to-layer="3472" to-port="0" />
+		<edge from-layer="3472" from-port="1" to-layer="3473" to-port="1" />
+		<edge from-layer="3473" from-port="2" to-layer="3475" to-port="0" />
+		<edge from-layer="3474" from-port="0" to-layer="3475" to-port="1" />
+		<edge from-layer="3475" from-port="2" to-layer="3476" to-port="0" />
+		<edge from-layer="3476" from-port="1" to-layer="3477" to-port="1" />
+		<edge from-layer="3477" from-port="2" to-layer="3478" to-port="1" />
+		<edge from-layer="3478" from-port="2" to-layer="3479" to-port="0" />
+		<edge from-layer="3479" from-port="2" to-layer="3481" to-port="0" />
+		<edge from-layer="3479" from-port="2" to-layer="3523" to-port="1" />
+		<edge from-layer="3480" from-port="0" to-layer="3481" to-port="1" />
+		<edge from-layer="3481" from-port="2" to-layer="3483" to-port="0" />
+		<edge from-layer="3482" from-port="0" to-layer="3483" to-port="1" />
+		<edge from-layer="3483" from-port="2" to-layer="3485" to-port="0" />
+		<edge from-layer="3484" from-port="0" to-layer="3485" to-port="1" />
+		<edge from-layer="3485" from-port="2" to-layer="3494" to-port="0" />
+		<edge from-layer="3486" from-port="0" to-layer="3487" to-port="0" />
+		<edge from-layer="3487" from-port="1" to-layer="3490" to-port="0" />
+		<edge from-layer="3488" from-port="0" to-layer="3489" to-port="0" />
+		<edge from-layer="3489" from-port="1" to-layer="3490" to-port="1" />
+		<edge from-layer="3490" from-port="2" to-layer="3492" to-port="0" />
+		<edge from-layer="3491" from-port="0" to-layer="3492" to-port="1" />
+		<edge from-layer="3492" from-port="2" to-layer="3493" to-port="0" />
+		<edge from-layer="3493" from-port="1" to-layer="3494" to-port="1" />
+		<edge from-layer="3494" from-port="2" to-layer="3495" to-port="1" />
+		<edge from-layer="3495" from-port="2" to-layer="3510" to-port="0" />
+		<edge from-layer="3495" from-port="2" to-layer="3506" to-port="0" />
+		<edge from-layer="3495" from-port="2" to-layer="3497" to-port="0" />
+		<edge from-layer="3496" from-port="0" to-layer="3506" to-port="1" />
+		<edge from-layer="3497" from-port="1" to-layer="3500" to-port="0" />
+		<edge from-layer="3498" from-port="0" to-layer="3500" to-port="1" />
+		<edge from-layer="3498" from-port="0" to-layer="3510" to-port="4" />
+		<edge from-layer="3498" from-port="0" to-layer="3506" to-port="4" />
+		<edge from-layer="3499" from-port="0" to-layer="3500" to-port="2" />
+		<edge from-layer="3500" from-port="3" to-layer="3502" to-port="0" />
+		<edge from-layer="3501" from-port="0" to-layer="3502" to-port="1" />
+		<edge from-layer="3502" from-port="2" to-layer="3504" to-port="0" />
+		<edge from-layer="3503" from-port="0" to-layer="3504" to-port="1" />
+		<edge from-layer="3504" from-port="2" to-layer="3506" to-port="2" />
+		<edge from-layer="3504" from-port="2" to-layer="3508" to-port="0" />
+		<edge from-layer="3504" from-port="2" to-layer="3510" to-port="1" />
+		<edge from-layer="3505" from-port="0" to-layer="3506" to-port="3" />
+		<edge from-layer="3506" from-port="5" to-layer="3512" to-port="0" />
+		<edge from-layer="3507" from-port="0" to-layer="3508" to-port="1" />
+		<edge from-layer="3508" from-port="2" to-layer="3510" to-port="2" />
+		<edge from-layer="3509" from-port="0" to-layer="3510" to-port="3" />
+		<edge from-layer="3510" from-port="5" to-layer="3511" to-port="0" />
+		<edge from-layer="3511" from-port="1" to-layer="3512" to-port="1" />
+		<edge from-layer="3512" from-port="2" to-layer="3521" to-port="0" />
+		<edge from-layer="3513" from-port="0" to-layer="3514" to-port="0" />
+		<edge from-layer="3514" from-port="1" to-layer="3517" to-port="0" />
+		<edge from-layer="3515" from-port="0" to-layer="3516" to-port="0" />
+		<edge from-layer="3516" from-port="1" to-layer="3517" to-port="1" />
+		<edge from-layer="3517" from-port="2" to-layer="3519" to-port="0" />
+		<edge from-layer="3518" from-port="0" to-layer="3519" to-port="1" />
+		<edge from-layer="3519" from-port="2" to-layer="3520" to-port="0" />
+		<edge from-layer="3520" from-port="1" to-layer="3521" to-port="1" />
+		<edge from-layer="3521" from-port="2" to-layer="3522" to-port="1" />
+		<edge from-layer="3522" from-port="2" to-layer="3523" to-port="0" />
+		<edge from-layer="3523" from-port="2" to-layer="3528" to-port="0" />
+		<edge from-layer="3524" from-port="0" to-layer="3528" to-port="1" />
+		<edge from-layer="3525" from-port="0" to-layer="3528" to-port="2" />
+		<edge from-layer="3526" from-port="0" to-layer="3528" to-port="3" />
+		<edge from-layer="3527" from-port="0" to-layer="3528" to-port="4" />
+		<edge from-layer="3528" from-port="5" to-layer="3530" to-port="0" />
+		<edge from-layer="3529" from-port="0" to-layer="3530" to-port="1" />
+		<edge from-layer="3530" from-port="2" to-layer="3532" to-port="0" />
+		<edge from-layer="3531" from-port="0" to-layer="3532" to-port="1" />
+		<edge from-layer="3532" from-port="2" to-layer="3537" to-port="0" />
+		<edge from-layer="3533" from-port="0" to-layer="3534" to-port="0" />
+		<edge from-layer="3534" from-port="1" to-layer="3536" to-port="0" />
+		<edge from-layer="3535" from-port="0" to-layer="3536" to-port="1" />
+		<edge from-layer="3536" from-port="2" to-layer="3537" to-port="1" />
+		<edge from-layer="3537" from-port="2" to-layer="3539" to-port="0" />
+		<edge from-layer="3538" from-port="0" to-layer="3539" to-port="1" />
+		<edge from-layer="3539" from-port="2" to-layer="3540" to-port="0" />
+		<edge from-layer="3540" from-port="2" to-layer="3541" to-port="0" />
+		<edge from-layer="3541" from-port="2" to-layer="3555" to-port="0" />
+		<edge from-layer="3541" from-port="2" to-layer="3546" to-port="0" />
+		<edge from-layer="3542" from-port="0" to-layer="3546" to-port="1" />
+		<edge from-layer="3543" from-port="0" to-layer="3546" to-port="2" />
+		<edge from-layer="3544" from-port="0" to-layer="3546" to-port="3" />
+		<edge from-layer="3545" from-port="0" to-layer="3546" to-port="4" />
+		<edge from-layer="3546" from-port="5" to-layer="3551" to-port="0" />
+		<edge from-layer="3547" from-port="0" to-layer="3548" to-port="0" />
+		<edge from-layer="3548" from-port="1" to-layer="3550" to-port="0" />
+		<edge from-layer="3549" from-port="0" to-layer="3550" to-port="1" />
+		<edge from-layer="3550" from-port="2" to-layer="3551" to-port="1" />
+		<edge from-layer="3551" from-port="2" to-layer="3553" to-port="0" />
+		<edge from-layer="3552" from-port="0" to-layer="3553" to-port="1" />
+		<edge from-layer="3553" from-port="2" to-layer="3616" to-port="0" />
+		<edge from-layer="3554" from-port="0" to-layer="3555" to-port="1" />
+		<edge from-layer="3555" from-port="2" to-layer="3557" to-port="0" />
+		<edge from-layer="3556" from-port="0" to-layer="3557" to-port="1" />
+		<edge from-layer="3557" from-port="2" to-layer="3559" to-port="0" />
+		<edge from-layer="3558" from-port="0" to-layer="3559" to-port="1" />
+		<edge from-layer="3559" from-port="2" to-layer="3561" to-port="0" />
+		<edge from-layer="3560" from-port="0" to-layer="3561" to-port="1" />
+		<edge from-layer="3561" from-port="2" to-layer="3563" to-port="0" />
+		<edge from-layer="3562" from-port="0" to-layer="3563" to-port="1" />
+		<edge from-layer="3563" from-port="2" to-layer="3564" to-port="0" />
+		<edge from-layer="3564" from-port="1" to-layer="3569" to-port="0" />
+		<edge from-layer="3565" from-port="0" to-layer="3569" to-port="1" />
+		<edge from-layer="3566" from-port="0" to-layer="3569" to-port="2" />
+		<edge from-layer="3567" from-port="0" to-layer="3569" to-port="3" />
+		<edge from-layer="3568" from-port="0" to-layer="3569" to-port="4" />
+		<edge from-layer="3569" from-port="5" to-layer="3574" to-port="0" />
+		<edge from-layer="3570" from-port="0" to-layer="3571" to-port="0" />
+		<edge from-layer="3571" from-port="1" to-layer="3573" to-port="0" />
+		<edge from-layer="3572" from-port="0" to-layer="3573" to-port="1" />
+		<edge from-layer="3573" from-port="2" to-layer="3574" to-port="1" />
+		<edge from-layer="3574" from-port="2" to-layer="3576" to-port="0" />
+		<edge from-layer="3575" from-port="0" to-layer="3576" to-port="1" />
+		<edge from-layer="3576" from-port="2" to-layer="3592" to-port="0" />
+		<edge from-layer="3577" from-port="0" to-layer="3578" to-port="0" />
+		<edge from-layer="3578" from-port="1" to-layer="3581" to-port="0" />
+		<edge from-layer="3579" from-port="0" to-layer="3580" to-port="0" />
+		<edge from-layer="3580" from-port="1" to-layer="3581" to-port="1" />
+		<edge from-layer="3581" from-port="2" to-layer="3583" to-port="0" />
+		<edge from-layer="3582" from-port="0" to-layer="3583" to-port="1" />
+		<edge from-layer="3583" from-port="2" to-layer="3584" to-port="0" />
+		<edge from-layer="3584" from-port="1" to-layer="3585" to-port="1" />
+		<edge from-layer="3585" from-port="2" to-layer="3587" to-port="0" />
+		<edge from-layer="3586" from-port="0" to-layer="3587" to-port="1" />
+		<edge from-layer="3587" from-port="2" to-layer="3589" to-port="0" />
+		<edge from-layer="3588" from-port="0" to-layer="3589" to-port="1" />
+		<edge from-layer="3589" from-port="2" to-layer="3591" to-port="0" />
+		<edge from-layer="3590" from-port="0" to-layer="3591" to-port="1" />
+		<edge from-layer="3591" from-port="2" to-layer="3592" to-port="1" />
+		<edge from-layer="3592" from-port="2" to-layer="3594" to-port="0" />
+		<edge from-layer="3593" from-port="0" to-layer="3594" to-port="1" />
+		<edge from-layer="3594" from-port="2" to-layer="3596" to-port="0" />
+		<edge from-layer="3595" from-port="0" to-layer="3596" to-port="1" />
+		<edge from-layer="3596" from-port="2" to-layer="3598" to-port="0" />
+		<edge from-layer="3597" from-port="0" to-layer="3598" to-port="1" />
+		<edge from-layer="3598" from-port="2" to-layer="3600" to-port="0" />
+		<edge from-layer="3599" from-port="0" to-layer="3600" to-port="1" />
+		<edge from-layer="3600" from-port="2" to-layer="3602" to-port="0" />
+		<edge from-layer="3601" from-port="0" to-layer="3602" to-port="1" />
+		<edge from-layer="3602" from-port="2" to-layer="3603" to-port="0" />
+		<edge from-layer="3603" from-port="1" to-layer="3608" to-port="0" />
+		<edge from-layer="3604" from-port="0" to-layer="3608" to-port="1" />
+		<edge from-layer="3605" from-port="0" to-layer="3608" to-port="2" />
+		<edge from-layer="3606" from-port="0" to-layer="3608" to-port="3" />
+		<edge from-layer="3607" from-port="0" to-layer="3608" to-port="4" />
+		<edge from-layer="3608" from-port="5" to-layer="3613" to-port="0" />
+		<edge from-layer="3609" from-port="0" to-layer="3610" to-port="0" />
+		<edge from-layer="3610" from-port="1" to-layer="3612" to-port="0" />
+		<edge from-layer="3611" from-port="0" to-layer="3612" to-port="1" />
+		<edge from-layer="3612" from-port="2" to-layer="3613" to-port="1" />
+		<edge from-layer="3613" from-port="2" to-layer="3615" to-port="0" />
+		<edge from-layer="3614" from-port="0" to-layer="3615" to-port="1" />
+		<edge from-layer="3615" from-port="2" to-layer="3616" to-port="1" />
+		<edge from-layer="3616" from-port="2" to-layer="3875" to-port="1" />
+		<edge from-layer="3616" from-port="2" to-layer="3618" to-port="0" />
+		<edge from-layer="3617" from-port="0" to-layer="3618" to-port="1" />
+		<edge from-layer="3618" from-port="2" to-layer="3620" to-port="0" />
+		<edge from-layer="3619" from-port="0" to-layer="3620" to-port="1" />
+		<edge from-layer="3620" from-port="2" to-layer="3622" to-port="0" />
+		<edge from-layer="3621" from-port="0" to-layer="3622" to-port="1" />
+		<edge from-layer="3622" from-port="2" to-layer="3624" to-port="0" />
+		<edge from-layer="3623" from-port="0" to-layer="3624" to-port="1" />
+		<edge from-layer="3624" from-port="2" to-layer="3626" to-port="0" />
+		<edge from-layer="3625" from-port="0" to-layer="3626" to-port="1" />
+		<edge from-layer="3626" from-port="2" to-layer="3631" to-port="0" />
+		<edge from-layer="3627" from-port="0" to-layer="3631" to-port="1" />
+		<edge from-layer="3628" from-port="0" to-layer="3631" to-port="2" />
+		<edge from-layer="3629" from-port="0" to-layer="3631" to-port="3" />
+		<edge from-layer="3630" from-port="0" to-layer="3631" to-port="4" />
+		<edge from-layer="3631" from-port="5" to-layer="3636" to-port="0" />
+		<edge from-layer="3632" from-port="0" to-layer="3633" to-port="0" />
+		<edge from-layer="3633" from-port="1" to-layer="3635" to-port="0" />
+		<edge from-layer="3634" from-port="0" to-layer="3635" to-port="1" />
+		<edge from-layer="3635" from-port="2" to-layer="3636" to-port="1" />
+		<edge from-layer="3636" from-port="2" to-layer="3638" to-port="0" />
+		<edge from-layer="3637" from-port="0" to-layer="3638" to-port="1" />
+		<edge from-layer="3638" from-port="2" to-layer="3640" to-port="0" />
+		<edge from-layer="3639" from-port="0" to-layer="3640" to-port="1" />
+		<edge from-layer="3640" from-port="2" to-layer="3642" to-port="0" />
+		<edge from-layer="3641" from-port="0" to-layer="3642" to-port="1" />
+		<edge from-layer="3642" from-port="2" to-layer="3728" to-port="1" />
+		<edge from-layer="3642" from-port="2" to-layer="3644" to-port="0" />
+		<edge from-layer="3643" from-port="0" to-layer="3644" to-port="1" />
+		<edge from-layer="3644" from-port="2" to-layer="3646" to-port="0" />
+		<edge from-layer="3645" from-port="0" to-layer="3646" to-port="1" />
+		<edge from-layer="3646" from-port="2" to-layer="3648" to-port="0" />
+		<edge from-layer="3647" from-port="0" to-layer="3648" to-port="1" />
+		<edge from-layer="3648" from-port="2" to-layer="3687" to-port="0" />
+		<edge from-layer="3648" from-port="2" to-layer="3708" to-port="0" />
+		<edge from-layer="3648" from-port="2" to-layer="3657" to-port="0" />
+		<edge from-layer="3649" from-port="0" to-layer="3650" to-port="0" />
+		<edge from-layer="3650" from-port="1" to-layer="3653" to-port="0" />
+		<edge from-layer="3651" from-port="0" to-layer="3652" to-port="0" />
+		<edge from-layer="3652" from-port="1" to-layer="3653" to-port="1" />
+		<edge from-layer="3653" from-port="2" to-layer="3655" to-port="0" />
+		<edge from-layer="3654" from-port="0" to-layer="3655" to-port="1" />
+		<edge from-layer="3655" from-port="2" to-layer="3656" to-port="0" />
+		<edge from-layer="3656" from-port="1" to-layer="3657" to-port="1" />
+		<edge from-layer="3657" from-port="2" to-layer="3659" to-port="0" />
+		<edge from-layer="3658" from-port="0" to-layer="3659" to-port="1" />
+		<edge from-layer="3659" from-port="2" to-layer="3661" to-port="0" />
+		<edge from-layer="3660" from-port="0" to-layer="3661" to-port="1" />
+		<edge from-layer="3661" from-port="2" to-layer="3663" to-port="0" />
+		<edge from-layer="3661" from-port="2" to-layer="3673" to-port="0" />
+		<edge from-layer="3662" from-port="0" to-layer="3671" to-port="0" />
+		<edge from-layer="3663" from-port="1" to-layer="3668" to-port="0" />
+		<edge from-layer="3664" from-port="0" to-layer="3668" to-port="1" />
+		<edge from-layer="3665" from-port="0" to-layer="3668" to-port="2" />
+		<edge from-layer="3666" from-port="0" to-layer="3668" to-port="3" />
+		<edge from-layer="3667" from-port="0" to-layer="3668" to-port="4" />
+		<edge from-layer="3668" from-port="5" to-layer="3669" to-port="0" />
+		<edge from-layer="3669" from-port="1" to-layer="3670" to-port="0" />
+		<edge from-layer="3670" from-port="1" to-layer="3671" to-port="1" />
+		<edge from-layer="3671" from-port="2" to-layer="3672" to-port="0" />
+		<edge from-layer="3672" from-port="1" to-layer="3692" to-port="1" />
+		<edge from-layer="3672" from-port="1" to-layer="3673" to-port="1" />
+		<edge from-layer="3673" from-port="2" to-layer="3678" to-port="0" />
+		<edge from-layer="3674" from-port="0" to-layer="3678" to-port="1" />
+		<edge from-layer="3675" from-port="0" to-layer="3678" to-port="2" />
+		<edge from-layer="3676" from-port="0" to-layer="3678" to-port="3" />
+		<edge from-layer="3677" from-port="0" to-layer="3678" to-port="4" />
+		<edge from-layer="3678" from-port="5" to-layer="3698" to-port="0" />
+		<edge from-layer="3679" from-port="0" to-layer="3680" to-port="0" />
+		<edge from-layer="3680" from-port="1" to-layer="3683" to-port="0" />
+		<edge from-layer="3681" from-port="0" to-layer="3682" to-port="0" />
+		<edge from-layer="3682" from-port="1" to-layer="3683" to-port="1" />
+		<edge from-layer="3683" from-port="2" to-layer="3685" to-port="0" />
+		<edge from-layer="3684" from-port="0" to-layer="3685" to-port="1" />
+		<edge from-layer="3685" from-port="2" to-layer="3686" to-port="0" />
+		<edge from-layer="3686" from-port="1" to-layer="3687" to-port="1" />
+		<edge from-layer="3687" from-port="2" to-layer="3689" to-port="0" />
+		<edge from-layer="3688" from-port="0" to-layer="3689" to-port="1" />
+		<edge from-layer="3689" from-port="2" to-layer="3691" to-port="0" />
+		<edge from-layer="3690" from-port="0" to-layer="3691" to-port="1" />
+		<edge from-layer="3691" from-port="2" to-layer="3692" to-port="0" />
+		<edge from-layer="3692" from-port="2" to-layer="3697" to-port="0" />
+		<edge from-layer="3693" from-port="0" to-layer="3697" to-port="1" />
+		<edge from-layer="3694" from-port="0" to-layer="3697" to-port="2" />
+		<edge from-layer="3695" from-port="0" to-layer="3697" to-port="3" />
+		<edge from-layer="3696" from-port="0" to-layer="3697" to-port="4" />
+		<edge from-layer="3697" from-port="5" to-layer="3698" to-port="1" />
+		<edge from-layer="3698" from-port="2" to-layer="3699" to-port="0" />
+		<edge from-layer="3699" from-port="1" to-layer="3713" to-port="0" />
+		<edge from-layer="3700" from-port="0" to-layer="3701" to-port="0" />
+		<edge from-layer="3701" from-port="1" to-layer="3704" to-port="0" />
+		<edge from-layer="3702" from-port="0" to-layer="3703" to-port="0" />
+		<edge from-layer="3703" from-port="1" to-layer="3704" to-port="1" />
+		<edge from-layer="3704" from-port="2" to-layer="3706" to-port="0" />
+		<edge from-layer="3705" from-port="0" to-layer="3706" to-port="1" />
+		<edge from-layer="3706" from-port="2" to-layer="3707" to-port="0" />
+		<edge from-layer="3707" from-port="1" to-layer="3708" to-port="1" />
+		<edge from-layer="3708" from-port="2" to-layer="3710" to-port="0" />
+		<edge from-layer="3709" from-port="0" to-layer="3710" to-port="1" />
+		<edge from-layer="3710" from-port="2" to-layer="3712" to-port="0" />
+		<edge from-layer="3711" from-port="0" to-layer="3712" to-port="1" />
+		<edge from-layer="3712" from-port="2" to-layer="3713" to-port="1" />
+		<edge from-layer="3713" from-port="2" to-layer="3715" to-port="0" />
+		<edge from-layer="3714" from-port="0" to-layer="3715" to-port="1" />
+		<edge from-layer="3715" from-port="2" to-layer="3717" to-port="0" />
+		<edge from-layer="3716" from-port="0" to-layer="3717" to-port="1" />
+		<edge from-layer="3717" from-port="2" to-layer="3726" to-port="0" />
+		<edge from-layer="3718" from-port="0" to-layer="3719" to-port="0" />
+		<edge from-layer="3719" from-port="1" to-layer="3722" to-port="0" />
+		<edge from-layer="3720" from-port="0" to-layer="3721" to-port="0" />
+		<edge from-layer="3721" from-port="1" to-layer="3722" to-port="1" />
+		<edge from-layer="3722" from-port="2" to-layer="3724" to-port="0" />
+		<edge from-layer="3723" from-port="0" to-layer="3724" to-port="1" />
+		<edge from-layer="3724" from-port="2" to-layer="3725" to-port="0" />
+		<edge from-layer="3725" from-port="1" to-layer="3726" to-port="1" />
+		<edge from-layer="3726" from-port="2" to-layer="3727" to-port="1" />
+		<edge from-layer="3727" from-port="2" to-layer="3728" to-port="0" />
+		<edge from-layer="3728" from-port="2" to-layer="3814" to-port="1" />
+		<edge from-layer="3728" from-port="2" to-layer="3730" to-port="0" />
+		<edge from-layer="3729" from-port="0" to-layer="3730" to-port="1" />
+		<edge from-layer="3730" from-port="2" to-layer="3732" to-port="0" />
+		<edge from-layer="3731" from-port="0" to-layer="3732" to-port="1" />
+		<edge from-layer="3732" from-port="2" to-layer="3734" to-port="0" />
+		<edge from-layer="3733" from-port="0" to-layer="3734" to-port="1" />
+		<edge from-layer="3734" from-port="2" to-layer="3743" to-port="0" />
+		<edge from-layer="3735" from-port="0" to-layer="3736" to-port="0" />
+		<edge from-layer="3736" from-port="1" to-layer="3739" to-port="0" />
+		<edge from-layer="3737" from-port="0" to-layer="3738" to-port="0" />
+		<edge from-layer="3738" from-port="1" to-layer="3739" to-port="1" />
+		<edge from-layer="3739" from-port="2" to-layer="3741" to-port="0" />
+		<edge from-layer="3740" from-port="0" to-layer="3741" to-port="1" />
+		<edge from-layer="3741" from-port="2" to-layer="3742" to-port="0" />
+		<edge from-layer="3742" from-port="1" to-layer="3743" to-port="1" />
+		<edge from-layer="3743" from-port="2" to-layer="3745" to-port="0" />
+		<edge from-layer="3744" from-port="0" to-layer="3745" to-port="1" />
+		<edge from-layer="3745" from-port="2" to-layer="3747" to-port="0" />
+		<edge from-layer="3746" from-port="0" to-layer="3747" to-port="1" />
+		<edge from-layer="3747" from-port="2" to-layer="3749" to-port="0" />
+		<edge from-layer="3747" from-port="2" to-layer="3759" to-port="0" />
+		<edge from-layer="3748" from-port="0" to-layer="3757" to-port="0" />
+		<edge from-layer="3749" from-port="1" to-layer="3754" to-port="0" />
+		<edge from-layer="3750" from-port="0" to-layer="3754" to-port="1" />
+		<edge from-layer="3751" from-port="0" to-layer="3754" to-port="2" />
+		<edge from-layer="3752" from-port="0" to-layer="3754" to-port="3" />
+		<edge from-layer="3753" from-port="0" to-layer="3754" to-port="4" />
+		<edge from-layer="3754" from-port="5" to-layer="3755" to-port="0" />
+		<edge from-layer="3755" from-port="1" to-layer="3756" to-port="0" />
+		<edge from-layer="3756" from-port="1" to-layer="3757" to-port="1" />
+		<edge from-layer="3757" from-port="2" to-layer="3758" to-port="0" />
+		<edge from-layer="3758" from-port="1" to-layer="3778" to-port="1" />
+		<edge from-layer="3758" from-port="1" to-layer="3759" to-port="1" />
+		<edge from-layer="3759" from-port="2" to-layer="3764" to-port="0" />
+		<edge from-layer="3760" from-port="0" to-layer="3764" to-port="1" />
+		<edge from-layer="3761" from-port="0" to-layer="3764" to-port="2" />
+		<edge from-layer="3762" from-port="0" to-layer="3764" to-port="3" />
+		<edge from-layer="3763" from-port="0" to-layer="3764" to-port="4" />
+		<edge from-layer="3764" from-port="5" to-layer="3784" to-port="0" />
+		<edge from-layer="3765" from-port="0" to-layer="3766" to-port="0" />
+		<edge from-layer="3766" from-port="1" to-layer="3769" to-port="0" />
+		<edge from-layer="3767" from-port="0" to-layer="3768" to-port="0" />
+		<edge from-layer="3768" from-port="1" to-layer="3769" to-port="1" />
+		<edge from-layer="3769" from-port="2" to-layer="3771" to-port="0" />
+		<edge from-layer="3770" from-port="0" to-layer="3771" to-port="1" />
+		<edge from-layer="3771" from-port="2" to-layer="3772" to-port="0" />
+		<edge from-layer="3772" from-port="1" to-layer="3773" to-port="1" />
+		<edge from-layer="3773" from-port="2" to-layer="3775" to-port="0" />
+		<edge from-layer="3774" from-port="0" to-layer="3775" to-port="1" />
+		<edge from-layer="3775" from-port="2" to-layer="3777" to-port="0" />
+		<edge from-layer="3776" from-port="0" to-layer="3777" to-port="1" />
+		<edge from-layer="3777" from-port="2" to-layer="3778" to-port="0" />
+		<edge from-layer="3778" from-port="2" to-layer="3783" to-port="0" />
+		<edge from-layer="3779" from-port="0" to-layer="3783" to-port="1" />
+		<edge from-layer="3780" from-port="0" to-layer="3783" to-port="2" />
+		<edge from-layer="3781" from-port="0" to-layer="3783" to-port="3" />
+		<edge from-layer="3782" from-port="0" to-layer="3783" to-port="4" />
+		<edge from-layer="3783" from-port="5" to-layer="3784" to-port="1" />
+		<edge from-layer="3784" from-port="2" to-layer="3785" to-port="0" />
+		<edge from-layer="3785" from-port="1" to-layer="3799" to-port="0" />
+		<edge from-layer="3786" from-port="0" to-layer="3787" to-port="0" />
+		<edge from-layer="3787" from-port="1" to-layer="3790" to-port="0" />
+		<edge from-layer="3788" from-port="0" to-layer="3789" to-port="0" />
+		<edge from-layer="3789" from-port="1" to-layer="3790" to-port="1" />
+		<edge from-layer="3790" from-port="2" to-layer="3792" to-port="0" />
+		<edge from-layer="3791" from-port="0" to-layer="3792" to-port="1" />
+		<edge from-layer="3792" from-port="2" to-layer="3793" to-port="0" />
+		<edge from-layer="3793" from-port="1" to-layer="3794" to-port="1" />
+		<edge from-layer="3794" from-port="2" to-layer="3796" to-port="0" />
+		<edge from-layer="3795" from-port="0" to-layer="3796" to-port="1" />
+		<edge from-layer="3796" from-port="2" to-layer="3798" to-port="0" />
+		<edge from-layer="3797" from-port="0" to-layer="3798" to-port="1" />
+		<edge from-layer="3798" from-port="2" to-layer="3799" to-port="1" />
+		<edge from-layer="3799" from-port="2" to-layer="3801" to-port="0" />
+		<edge from-layer="3800" from-port="0" to-layer="3801" to-port="1" />
+		<edge from-layer="3801" from-port="2" to-layer="3803" to-port="0" />
+		<edge from-layer="3802" from-port="0" to-layer="3803" to-port="1" />
+		<edge from-layer="3803" from-port="2" to-layer="3812" to-port="0" />
+		<edge from-layer="3804" from-port="0" to-layer="3805" to-port="0" />
+		<edge from-layer="3805" from-port="1" to-layer="3808" to-port="0" />
+		<edge from-layer="3806" from-port="0" to-layer="3807" to-port="0" />
+		<edge from-layer="3807" from-port="1" to-layer="3808" to-port="1" />
+		<edge from-layer="3808" from-port="2" to-layer="3810" to-port="0" />
+		<edge from-layer="3809" from-port="0" to-layer="3810" to-port="1" />
+		<edge from-layer="3810" from-port="2" to-layer="3811" to-port="0" />
+		<edge from-layer="3811" from-port="1" to-layer="3812" to-port="1" />
+		<edge from-layer="3812" from-port="2" to-layer="3813" to-port="1" />
+		<edge from-layer="3813" from-port="2" to-layer="3814" to-port="0" />
+		<edge from-layer="3814" from-port="2" to-layer="3816" to-port="0" />
+		<edge from-layer="3814" from-port="2" to-layer="3858" to-port="1" />
+		<edge from-layer="3815" from-port="0" to-layer="3816" to-port="1" />
+		<edge from-layer="3816" from-port="2" to-layer="3818" to-port="0" />
+		<edge from-layer="3817" from-port="0" to-layer="3818" to-port="1" />
+		<edge from-layer="3818" from-port="2" to-layer="3820" to-port="0" />
+		<edge from-layer="3819" from-port="0" to-layer="3820" to-port="1" />
+		<edge from-layer="3820" from-port="2" to-layer="3829" to-port="0" />
+		<edge from-layer="3821" from-port="0" to-layer="3822" to-port="0" />
+		<edge from-layer="3822" from-port="1" to-layer="3825" to-port="0" />
+		<edge from-layer="3823" from-port="0" to-layer="3824" to-port="0" />
+		<edge from-layer="3824" from-port="1" to-layer="3825" to-port="1" />
+		<edge from-layer="3825" from-port="2" to-layer="3827" to-port="0" />
+		<edge from-layer="3826" from-port="0" to-layer="3827" to-port="1" />
+		<edge from-layer="3827" from-port="2" to-layer="3828" to-port="0" />
+		<edge from-layer="3828" from-port="1" to-layer="3829" to-port="1" />
+		<edge from-layer="3829" from-port="2" to-layer="3830" to-port="1" />
+		<edge from-layer="3830" from-port="2" to-layer="3832" to-port="0" />
+		<edge from-layer="3830" from-port="2" to-layer="3841" to-port="0" />
+		<edge from-layer="3830" from-port="2" to-layer="3845" to-port="0" />
+		<edge from-layer="3831" from-port="0" to-layer="3841" to-port="1" />
+		<edge from-layer="3832" from-port="1" to-layer="3835" to-port="0" />
+		<edge from-layer="3833" from-port="0" to-layer="3835" to-port="1" />
+		<edge from-layer="3833" from-port="0" to-layer="3841" to-port="4" />
+		<edge from-layer="3833" from-port="0" to-layer="3845" to-port="4" />
+		<edge from-layer="3834" from-port="0" to-layer="3835" to-port="2" />
+		<edge from-layer="3835" from-port="3" to-layer="3837" to-port="0" />
+		<edge from-layer="3836" from-port="0" to-layer="3837" to-port="1" />
+		<edge from-layer="3837" from-port="2" to-layer="3839" to-port="0" />
+		<edge from-layer="3838" from-port="0" to-layer="3839" to-port="1" />
+		<edge from-layer="3839" from-port="2" to-layer="3845" to-port="1" />
+		<edge from-layer="3839" from-port="2" to-layer="3843" to-port="0" />
+		<edge from-layer="3839" from-port="2" to-layer="3841" to-port="2" />
+		<edge from-layer="3840" from-port="0" to-layer="3841" to-port="3" />
+		<edge from-layer="3841" from-port="5" to-layer="3847" to-port="0" />
+		<edge from-layer="3842" from-port="0" to-layer="3843" to-port="1" />
+		<edge from-layer="3843" from-port="2" to-layer="3845" to-port="2" />
+		<edge from-layer="3844" from-port="0" to-layer="3845" to-port="3" />
+		<edge from-layer="3845" from-port="5" to-layer="3846" to-port="0" />
+		<edge from-layer="3846" from-port="1" to-layer="3847" to-port="1" />
+		<edge from-layer="3847" from-port="2" to-layer="3856" to-port="0" />
+		<edge from-layer="3848" from-port="0" to-layer="3849" to-port="0" />
+		<edge from-layer="3849" from-port="1" to-layer="3852" to-port="0" />
+		<edge from-layer="3850" from-port="0" to-layer="3851" to-port="0" />
+		<edge from-layer="3851" from-port="1" to-layer="3852" to-port="1" />
+		<edge from-layer="3852" from-port="2" to-layer="3854" to-port="0" />
+		<edge from-layer="3853" from-port="0" to-layer="3854" to-port="1" />
+		<edge from-layer="3854" from-port="2" to-layer="3855" to-port="0" />
+		<edge from-layer="3855" from-port="1" to-layer="3856" to-port="1" />
+		<edge from-layer="3856" from-port="2" to-layer="3857" to-port="1" />
+		<edge from-layer="3857" from-port="2" to-layer="3858" to-port="0" />
+		<edge from-layer="3858" from-port="2" to-layer="3863" to-port="0" />
+		<edge from-layer="3859" from-port="0" to-layer="3863" to-port="1" />
+		<edge from-layer="3860" from-port="0" to-layer="3863" to-port="2" />
+		<edge from-layer="3861" from-port="0" to-layer="3863" to-port="3" />
+		<edge from-layer="3862" from-port="0" to-layer="3863" to-port="4" />
+		<edge from-layer="3863" from-port="5" to-layer="3865" to-port="0" />
+		<edge from-layer="3864" from-port="0" to-layer="3865" to-port="1" />
+		<edge from-layer="3865" from-port="2" to-layer="3867" to-port="0" />
+		<edge from-layer="3866" from-port="0" to-layer="3867" to-port="1" />
+		<edge from-layer="3867" from-port="2" to-layer="3872" to-port="0" />
+		<edge from-layer="3868" from-port="0" to-layer="3869" to-port="0" />
+		<edge from-layer="3869" from-port="1" to-layer="3871" to-port="0" />
+		<edge from-layer="3870" from-port="0" to-layer="3871" to-port="1" />
+		<edge from-layer="3871" from-port="2" to-layer="3872" to-port="1" />
+		<edge from-layer="3872" from-port="2" to-layer="3874" to-port="0" />
+		<edge from-layer="3873" from-port="0" to-layer="3874" to-port="1" />
+		<edge from-layer="3874" from-port="2" to-layer="3875" to-port="0" />
+		<edge from-layer="3875" from-port="2" to-layer="3880" to-port="0" />
+		<edge from-layer="3876" from-port="0" to-layer="3880" to-port="1" />
+		<edge from-layer="3877" from-port="0" to-layer="3880" to-port="2" />
+		<edge from-layer="3878" from-port="0" to-layer="3880" to-port="3" />
+		<edge from-layer="3879" from-port="0" to-layer="3880" to-port="4" />
+		<edge from-layer="3880" from-port="5" to-layer="3882" to-port="0" />
+		<edge from-layer="3881" from-port="0" to-layer="3882" to-port="1" />
+		<edge from-layer="3882" from-port="2" to-layer="3887" to-port="0" />
+		<edge from-layer="3883" from-port="0" to-layer="3887" to-port="1" />
+		<edge from-layer="3884" from-port="0" to-layer="3887" to-port="2" />
+		<edge from-layer="3885" from-port="0" to-layer="3887" to-port="3" />
+		<edge from-layer="3886" from-port="0" to-layer="3887" to-port="4" />
+		<edge from-layer="3887" from-port="5" to-layer="3892" to-port="0" />
+		<edge from-layer="3888" from-port="0" to-layer="3889" to-port="0" />
+		<edge from-layer="3889" from-port="1" to-layer="3891" to-port="0" />
+		<edge from-layer="3890" from-port="0" to-layer="3891" to-port="1" />
+		<edge from-layer="3891" from-port="2" to-layer="3892" to-port="1" />
+		<edge from-layer="3892" from-port="2" to-layer="3894" to-port="0" />
+		<edge from-layer="3893" from-port="0" to-layer="3894" to-port="1" />
+		<edge from-layer="3894" from-port="2" to-layer="3895" to-port="0" />
+		<edge from-layer="3895" from-port="2" to-layer="3900" to-port="0" />
+		<edge from-layer="3895" from-port="2" to-layer="3909" to-port="0" />
+		<edge from-layer="3896" from-port="0" to-layer="3900" to-port="1" />
+		<edge from-layer="3897" from-port="0" to-layer="3900" to-port="2" />
+		<edge from-layer="3898" from-port="0" to-layer="3900" to-port="3" />
+		<edge from-layer="3899" from-port="0" to-layer="3900" to-port="4" />
+		<edge from-layer="3900" from-port="5" to-layer="3905" to-port="0" />
+		<edge from-layer="3901" from-port="0" to-layer="3902" to-port="0" />
+		<edge from-layer="3902" from-port="1" to-layer="3904" to-port="0" />
+		<edge from-layer="3903" from-port="0" to-layer="3904" to-port="1" />
+		<edge from-layer="3904" from-port="2" to-layer="3905" to-port="1" />
+		<edge from-layer="3905" from-port="2" to-layer="3907" to-port="0" />
+		<edge from-layer="3906" from-port="0" to-layer="3907" to-port="1" />
+		<edge from-layer="3907" from-port="2" to-layer="3970" to-port="0" />
+		<edge from-layer="3908" from-port="0" to-layer="3909" to-port="1" />
+		<edge from-layer="3909" from-port="2" to-layer="3911" to-port="0" />
+		<edge from-layer="3910" from-port="0" to-layer="3911" to-port="1" />
+		<edge from-layer="3911" from-port="2" to-layer="3913" to-port="0" />
+		<edge from-layer="3912" from-port="0" to-layer="3913" to-port="1" />
+		<edge from-layer="3913" from-port="2" to-layer="3915" to-port="0" />
+		<edge from-layer="3914" from-port="0" to-layer="3915" to-port="1" />
+		<edge from-layer="3915" from-port="2" to-layer="3917" to-port="0" />
+		<edge from-layer="3916" from-port="0" to-layer="3917" to-port="1" />
+		<edge from-layer="3917" from-port="2" to-layer="3918" to-port="0" />
+		<edge from-layer="3918" from-port="1" to-layer="3923" to-port="0" />
+		<edge from-layer="3919" from-port="0" to-layer="3923" to-port="1" />
+		<edge from-layer="3920" from-port="0" to-layer="3923" to-port="2" />
+		<edge from-layer="3921" from-port="0" to-layer="3923" to-port="3" />
+		<edge from-layer="3922" from-port="0" to-layer="3923" to-port="4" />
+		<edge from-layer="3923" from-port="5" to-layer="3928" to-port="0" />
+		<edge from-layer="3924" from-port="0" to-layer="3925" to-port="0" />
+		<edge from-layer="3925" from-port="1" to-layer="3927" to-port="0" />
+		<edge from-layer="3926" from-port="0" to-layer="3927" to-port="1" />
+		<edge from-layer="3927" from-port="2" to-layer="3928" to-port="1" />
+		<edge from-layer="3928" from-port="2" to-layer="3930" to-port="0" />
+		<edge from-layer="3929" from-port="0" to-layer="3930" to-port="1" />
+		<edge from-layer="3930" from-port="2" to-layer="3946" to-port="0" />
+		<edge from-layer="3931" from-port="0" to-layer="3932" to-port="0" />
+		<edge from-layer="3932" from-port="1" to-layer="3935" to-port="0" />
+		<edge from-layer="3933" from-port="0" to-layer="3934" to-port="0" />
+		<edge from-layer="3934" from-port="1" to-layer="3935" to-port="1" />
+		<edge from-layer="3935" from-port="2" to-layer="3937" to-port="0" />
+		<edge from-layer="3936" from-port="0" to-layer="3937" to-port="1" />
+		<edge from-layer="3937" from-port="2" to-layer="3938" to-port="0" />
+		<edge from-layer="3938" from-port="1" to-layer="3939" to-port="1" />
+		<edge from-layer="3939" from-port="2" to-layer="3941" to-port="0" />
+		<edge from-layer="3940" from-port="0" to-layer="3941" to-port="1" />
+		<edge from-layer="3941" from-port="2" to-layer="3943" to-port="0" />
+		<edge from-layer="3942" from-port="0" to-layer="3943" to-port="1" />
+		<edge from-layer="3943" from-port="2" to-layer="3945" to-port="0" />
+		<edge from-layer="3944" from-port="0" to-layer="3945" to-port="1" />
+		<edge from-layer="3945" from-port="2" to-layer="3946" to-port="1" />
+		<edge from-layer="3946" from-port="2" to-layer="3948" to-port="0" />
+		<edge from-layer="3947" from-port="0" to-layer="3948" to-port="1" />
+		<edge from-layer="3948" from-port="2" to-layer="3950" to-port="0" />
+		<edge from-layer="3949" from-port="0" to-layer="3950" to-port="1" />
+		<edge from-layer="3950" from-port="2" to-layer="3952" to-port="0" />
+		<edge from-layer="3951" from-port="0" to-layer="3952" to-port="1" />
+		<edge from-layer="3952" from-port="2" to-layer="3954" to-port="0" />
+		<edge from-layer="3953" from-port="0" to-layer="3954" to-port="1" />
+		<edge from-layer="3954" from-port="2" to-layer="3956" to-port="0" />
+		<edge from-layer="3955" from-port="0" to-layer="3956" to-port="1" />
+		<edge from-layer="3956" from-port="2" to-layer="3957" to-port="0" />
+		<edge from-layer="3957" from-port="1" to-layer="3962" to-port="0" />
+		<edge from-layer="3958" from-port="0" to-layer="3962" to-port="1" />
+		<edge from-layer="3959" from-port="0" to-layer="3962" to-port="2" />
+		<edge from-layer="3960" from-port="0" to-layer="3962" to-port="3" />
+		<edge from-layer="3961" from-port="0" to-layer="3962" to-port="4" />
+		<edge from-layer="3962" from-port="5" to-layer="3967" to-port="0" />
+		<edge from-layer="3963" from-port="0" to-layer="3964" to-port="0" />
+		<edge from-layer="3964" from-port="1" to-layer="3966" to-port="0" />
+		<edge from-layer="3965" from-port="0" to-layer="3966" to-port="1" />
+		<edge from-layer="3966" from-port="2" to-layer="3967" to-port="1" />
+		<edge from-layer="3967" from-port="2" to-layer="3969" to-port="0" />
+		<edge from-layer="3968" from-port="0" to-layer="3969" to-port="1" />
+		<edge from-layer="3969" from-port="2" to-layer="3970" to-port="1" />
+		<edge from-layer="3970" from-port="2" to-layer="4229" to-port="1" />
+		<edge from-layer="3970" from-port="2" to-layer="3972" to-port="0" />
+		<edge from-layer="3971" from-port="0" to-layer="3972" to-port="1" />
+		<edge from-layer="3972" from-port="2" to-layer="3974" to-port="0" />
+		<edge from-layer="3973" from-port="0" to-layer="3974" to-port="1" />
+		<edge from-layer="3974" from-port="2" to-layer="3976" to-port="0" />
+		<edge from-layer="3975" from-port="0" to-layer="3976" to-port="1" />
+		<edge from-layer="3976" from-port="2" to-layer="3978" to-port="0" />
+		<edge from-layer="3977" from-port="0" to-layer="3978" to-port="1" />
+		<edge from-layer="3978" from-port="2" to-layer="3980" to-port="0" />
+		<edge from-layer="3979" from-port="0" to-layer="3980" to-port="1" />
+		<edge from-layer="3980" from-port="2" to-layer="3985" to-port="0" />
+		<edge from-layer="3981" from-port="0" to-layer="3985" to-port="1" />
+		<edge from-layer="3982" from-port="0" to-layer="3985" to-port="2" />
+		<edge from-layer="3983" from-port="0" to-layer="3985" to-port="3" />
+		<edge from-layer="3984" from-port="0" to-layer="3985" to-port="4" />
+		<edge from-layer="3985" from-port="5" to-layer="3990" to-port="0" />
+		<edge from-layer="3986" from-port="0" to-layer="3987" to-port="0" />
+		<edge from-layer="3987" from-port="1" to-layer="3989" to-port="0" />
+		<edge from-layer="3988" from-port="0" to-layer="3989" to-port="1" />
+		<edge from-layer="3989" from-port="2" to-layer="3990" to-port="1" />
+		<edge from-layer="3990" from-port="2" to-layer="3992" to-port="0" />
+		<edge from-layer="3991" from-port="0" to-layer="3992" to-port="1" />
+		<edge from-layer="3992" from-port="2" to-layer="3994" to-port="0" />
+		<edge from-layer="3993" from-port="0" to-layer="3994" to-port="1" />
+		<edge from-layer="3994" from-port="2" to-layer="3996" to-port="0" />
+		<edge from-layer="3995" from-port="0" to-layer="3996" to-port="1" />
+		<edge from-layer="3996" from-port="2" to-layer="3998" to-port="0" />
+		<edge from-layer="3996" from-port="2" to-layer="4082" to-port="1" />
+		<edge from-layer="3997" from-port="0" to-layer="3998" to-port="1" />
+		<edge from-layer="3998" from-port="2" to-layer="4000" to-port="0" />
+		<edge from-layer="3999" from-port="0" to-layer="4000" to-port="1" />
+		<edge from-layer="4000" from-port="2" to-layer="4002" to-port="0" />
+		<edge from-layer="4001" from-port="0" to-layer="4002" to-port="1" />
+		<edge from-layer="4002" from-port="2" to-layer="4041" to-port="0" />
+		<edge from-layer="4002" from-port="2" to-layer="4011" to-port="0" />
+		<edge from-layer="4002" from-port="2" to-layer="4062" to-port="0" />
+		<edge from-layer="4003" from-port="0" to-layer="4004" to-port="0" />
+		<edge from-layer="4004" from-port="1" to-layer="4007" to-port="0" />
+		<edge from-layer="4005" from-port="0" to-layer="4006" to-port="0" />
+		<edge from-layer="4006" from-port="1" to-layer="4007" to-port="1" />
+		<edge from-layer="4007" from-port="2" to-layer="4009" to-port="0" />
+		<edge from-layer="4008" from-port="0" to-layer="4009" to-port="1" />
+		<edge from-layer="4009" from-port="2" to-layer="4010" to-port="0" />
+		<edge from-layer="4010" from-port="1" to-layer="4011" to-port="1" />
+		<edge from-layer="4011" from-port="2" to-layer="4013" to-port="0" />
+		<edge from-layer="4012" from-port="0" to-layer="4013" to-port="1" />
+		<edge from-layer="4013" from-port="2" to-layer="4015" to-port="0" />
+		<edge from-layer="4014" from-port="0" to-layer="4015" to-port="1" />
+		<edge from-layer="4015" from-port="2" to-layer="4027" to-port="0" />
+		<edge from-layer="4015" from-port="2" to-layer="4017" to-port="0" />
+		<edge from-layer="4016" from-port="0" to-layer="4025" to-port="0" />
+		<edge from-layer="4017" from-port="1" to-layer="4022" to-port="0" />
+		<edge from-layer="4018" from-port="0" to-layer="4022" to-port="1" />
+		<edge from-layer="4019" from-port="0" to-layer="4022" to-port="2" />
+		<edge from-layer="4020" from-port="0" to-layer="4022" to-port="3" />
+		<edge from-layer="4021" from-port="0" to-layer="4022" to-port="4" />
+		<edge from-layer="4022" from-port="5" to-layer="4023" to-port="0" />
+		<edge from-layer="4023" from-port="1" to-layer="4024" to-port="0" />
+		<edge from-layer="4024" from-port="1" to-layer="4025" to-port="1" />
+		<edge from-layer="4025" from-port="2" to-layer="4026" to-port="0" />
+		<edge from-layer="4026" from-port="1" to-layer="4046" to-port="1" />
+		<edge from-layer="4026" from-port="1" to-layer="4027" to-port="1" />
+		<edge from-layer="4027" from-port="2" to-layer="4032" to-port="0" />
+		<edge from-layer="4028" from-port="0" to-layer="4032" to-port="1" />
+		<edge from-layer="4029" from-port="0" to-layer="4032" to-port="2" />
+		<edge from-layer="4030" from-port="0" to-layer="4032" to-port="3" />
+		<edge from-layer="4031" from-port="0" to-layer="4032" to-port="4" />
+		<edge from-layer="4032" from-port="5" to-layer="4052" to-port="0" />
+		<edge from-layer="4033" from-port="0" to-layer="4034" to-port="0" />
+		<edge from-layer="4034" from-port="1" to-layer="4037" to-port="0" />
+		<edge from-layer="4035" from-port="0" to-layer="4036" to-port="0" />
+		<edge from-layer="4036" from-port="1" to-layer="4037" to-port="1" />
+		<edge from-layer="4037" from-port="2" to-layer="4039" to-port="0" />
+		<edge from-layer="4038" from-port="0" to-layer="4039" to-port="1" />
+		<edge from-layer="4039" from-port="2" to-layer="4040" to-port="0" />
+		<edge from-layer="4040" from-port="1" to-layer="4041" to-port="1" />
+		<edge from-layer="4041" from-port="2" to-layer="4043" to-port="0" />
+		<edge from-layer="4042" from-port="0" to-layer="4043" to-port="1" />
+		<edge from-layer="4043" from-port="2" to-layer="4045" to-port="0" />
+		<edge from-layer="4044" from-port="0" to-layer="4045" to-port="1" />
+		<edge from-layer="4045" from-port="2" to-layer="4046" to-port="0" />
+		<edge from-layer="4046" from-port="2" to-layer="4051" to-port="0" />
+		<edge from-layer="4047" from-port="0" to-layer="4051" to-port="1" />
+		<edge from-layer="4048" from-port="0" to-layer="4051" to-port="2" />
+		<edge from-layer="4049" from-port="0" to-layer="4051" to-port="3" />
+		<edge from-layer="4050" from-port="0" to-layer="4051" to-port="4" />
+		<edge from-layer="4051" from-port="5" to-layer="4052" to-port="1" />
+		<edge from-layer="4052" from-port="2" to-layer="4053" to-port="0" />
+		<edge from-layer="4053" from-port="1" to-layer="4067" to-port="0" />
+		<edge from-layer="4054" from-port="0" to-layer="4055" to-port="0" />
+		<edge from-layer="4055" from-port="1" to-layer="4058" to-port="0" />
+		<edge from-layer="4056" from-port="0" to-layer="4057" to-port="0" />
+		<edge from-layer="4057" from-port="1" to-layer="4058" to-port="1" />
+		<edge from-layer="4058" from-port="2" to-layer="4060" to-port="0" />
+		<edge from-layer="4059" from-port="0" to-layer="4060" to-port="1" />
+		<edge from-layer="4060" from-port="2" to-layer="4061" to-port="0" />
+		<edge from-layer="4061" from-port="1" to-layer="4062" to-port="1" />
+		<edge from-layer="4062" from-port="2" to-layer="4064" to-port="0" />
+		<edge from-layer="4063" from-port="0" to-layer="4064" to-port="1" />
+		<edge from-layer="4064" from-port="2" to-layer="4066" to-port="0" />
+		<edge from-layer="4065" from-port="0" to-layer="4066" to-port="1" />
+		<edge from-layer="4066" from-port="2" to-layer="4067" to-port="1" />
+		<edge from-layer="4067" from-port="2" to-layer="4069" to-port="0" />
+		<edge from-layer="4068" from-port="0" to-layer="4069" to-port="1" />
+		<edge from-layer="4069" from-port="2" to-layer="4071" to-port="0" />
+		<edge from-layer="4070" from-port="0" to-layer="4071" to-port="1" />
+		<edge from-layer="4071" from-port="2" to-layer="4080" to-port="0" />
+		<edge from-layer="4072" from-port="0" to-layer="4073" to-port="0" />
+		<edge from-layer="4073" from-port="1" to-layer="4076" to-port="0" />
+		<edge from-layer="4074" from-port="0" to-layer="4075" to-port="0" />
+		<edge from-layer="4075" from-port="1" to-layer="4076" to-port="1" />
+		<edge from-layer="4076" from-port="2" to-layer="4078" to-port="0" />
+		<edge from-layer="4077" from-port="0" to-layer="4078" to-port="1" />
+		<edge from-layer="4078" from-port="2" to-layer="4079" to-port="0" />
+		<edge from-layer="4079" from-port="1" to-layer="4080" to-port="1" />
+		<edge from-layer="4080" from-port="2" to-layer="4081" to-port="1" />
+		<edge from-layer="4081" from-port="2" to-layer="4082" to-port="0" />
+		<edge from-layer="4082" from-port="2" to-layer="4084" to-port="0" />
+		<edge from-layer="4082" from-port="2" to-layer="4168" to-port="1" />
+		<edge from-layer="4083" from-port="0" to-layer="4084" to-port="1" />
+		<edge from-layer="4084" from-port="2" to-layer="4086" to-port="0" />
+		<edge from-layer="4085" from-port="0" to-layer="4086" to-port="1" />
+		<edge from-layer="4086" from-port="2" to-layer="4088" to-port="0" />
+		<edge from-layer="4087" from-port="0" to-layer="4088" to-port="1" />
+		<edge from-layer="4088" from-port="2" to-layer="4097" to-port="0" />
+		<edge from-layer="4089" from-port="0" to-layer="4090" to-port="0" />
+		<edge from-layer="4090" from-port="1" to-layer="4093" to-port="0" />
+		<edge from-layer="4091" from-port="0" to-layer="4092" to-port="0" />
+		<edge from-layer="4092" from-port="1" to-layer="4093" to-port="1" />
+		<edge from-layer="4093" from-port="2" to-layer="4095" to-port="0" />
+		<edge from-layer="4094" from-port="0" to-layer="4095" to-port="1" />
+		<edge from-layer="4095" from-port="2" to-layer="4096" to-port="0" />
+		<edge from-layer="4096" from-port="1" to-layer="4097" to-port="1" />
+		<edge from-layer="4097" from-port="2" to-layer="4099" to-port="0" />
+		<edge from-layer="4098" from-port="0" to-layer="4099" to-port="1" />
+		<edge from-layer="4099" from-port="2" to-layer="4101" to-port="0" />
+		<edge from-layer="4100" from-port="0" to-layer="4101" to-port="1" />
+		<edge from-layer="4101" from-port="2" to-layer="4113" to-port="0" />
+		<edge from-layer="4101" from-port="2" to-layer="4103" to-port="0" />
+		<edge from-layer="4102" from-port="0" to-layer="4111" to-port="0" />
+		<edge from-layer="4103" from-port="1" to-layer="4108" to-port="0" />
+		<edge from-layer="4104" from-port="0" to-layer="4108" to-port="1" />
+		<edge from-layer="4105" from-port="0" to-layer="4108" to-port="2" />
+		<edge from-layer="4106" from-port="0" to-layer="4108" to-port="3" />
+		<edge from-layer="4107" from-port="0" to-layer="4108" to-port="4" />
+		<edge from-layer="4108" from-port="5" to-layer="4109" to-port="0" />
+		<edge from-layer="4109" from-port="1" to-layer="4110" to-port="0" />
+		<edge from-layer="4110" from-port="1" to-layer="4111" to-port="1" />
+		<edge from-layer="4111" from-port="2" to-layer="4112" to-port="0" />
+		<edge from-layer="4112" from-port="1" to-layer="4132" to-port="1" />
+		<edge from-layer="4112" from-port="1" to-layer="4113" to-port="1" />
+		<edge from-layer="4113" from-port="2" to-layer="4118" to-port="0" />
+		<edge from-layer="4114" from-port="0" to-layer="4118" to-port="1" />
+		<edge from-layer="4115" from-port="0" to-layer="4118" to-port="2" />
+		<edge from-layer="4116" from-port="0" to-layer="4118" to-port="3" />
+		<edge from-layer="4117" from-port="0" to-layer="4118" to-port="4" />
+		<edge from-layer="4118" from-port="5" to-layer="4138" to-port="0" />
+		<edge from-layer="4119" from-port="0" to-layer="4120" to-port="0" />
+		<edge from-layer="4120" from-port="1" to-layer="4123" to-port="0" />
+		<edge from-layer="4121" from-port="0" to-layer="4122" to-port="0" />
+		<edge from-layer="4122" from-port="1" to-layer="4123" to-port="1" />
+		<edge from-layer="4123" from-port="2" to-layer="4125" to-port="0" />
+		<edge from-layer="4124" from-port="0" to-layer="4125" to-port="1" />
+		<edge from-layer="4125" from-port="2" to-layer="4126" to-port="0" />
+		<edge from-layer="4126" from-port="1" to-layer="4127" to-port="1" />
+		<edge from-layer="4127" from-port="2" to-layer="4129" to-port="0" />
+		<edge from-layer="4128" from-port="0" to-layer="4129" to-port="1" />
+		<edge from-layer="4129" from-port="2" to-layer="4131" to-port="0" />
+		<edge from-layer="4130" from-port="0" to-layer="4131" to-port="1" />
+		<edge from-layer="4131" from-port="2" to-layer="4132" to-port="0" />
+		<edge from-layer="4132" from-port="2" to-layer="4137" to-port="0" />
+		<edge from-layer="4133" from-port="0" to-layer="4137" to-port="1" />
+		<edge from-layer="4134" from-port="0" to-layer="4137" to-port="2" />
+		<edge from-layer="4135" from-port="0" to-layer="4137" to-port="3" />
+		<edge from-layer="4136" from-port="0" to-layer="4137" to-port="4" />
+		<edge from-layer="4137" from-port="5" to-layer="4138" to-port="1" />
+		<edge from-layer="4138" from-port="2" to-layer="4139" to-port="0" />
+		<edge from-layer="4139" from-port="1" to-layer="4153" to-port="0" />
+		<edge from-layer="4140" from-port="0" to-layer="4141" to-port="0" />
+		<edge from-layer="4141" from-port="1" to-layer="4144" to-port="0" />
+		<edge from-layer="4142" from-port="0" to-layer="4143" to-port="0" />
+		<edge from-layer="4143" from-port="1" to-layer="4144" to-port="1" />
+		<edge from-layer="4144" from-port="2" to-layer="4146" to-port="0" />
+		<edge from-layer="4145" from-port="0" to-layer="4146" to-port="1" />
+		<edge from-layer="4146" from-port="2" to-layer="4147" to-port="0" />
+		<edge from-layer="4147" from-port="1" to-layer="4148" to-port="1" />
+		<edge from-layer="4148" from-port="2" to-layer="4150" to-port="0" />
+		<edge from-layer="4149" from-port="0" to-layer="4150" to-port="1" />
+		<edge from-layer="4150" from-port="2" to-layer="4152" to-port="0" />
+		<edge from-layer="4151" from-port="0" to-layer="4152" to-port="1" />
+		<edge from-layer="4152" from-port="2" to-layer="4153" to-port="1" />
+		<edge from-layer="4153" from-port="2" to-layer="4155" to-port="0" />
+		<edge from-layer="4154" from-port="0" to-layer="4155" to-port="1" />
+		<edge from-layer="4155" from-port="2" to-layer="4157" to-port="0" />
+		<edge from-layer="4156" from-port="0" to-layer="4157" to-port="1" />
+		<edge from-layer="4157" from-port="2" to-layer="4166" to-port="0" />
+		<edge from-layer="4158" from-port="0" to-layer="4159" to-port="0" />
+		<edge from-layer="4159" from-port="1" to-layer="4162" to-port="0" />
+		<edge from-layer="4160" from-port="0" to-layer="4161" to-port="0" />
+		<edge from-layer="4161" from-port="1" to-layer="4162" to-port="1" />
+		<edge from-layer="4162" from-port="2" to-layer="4164" to-port="0" />
+		<edge from-layer="4163" from-port="0" to-layer="4164" to-port="1" />
+		<edge from-layer="4164" from-port="2" to-layer="4165" to-port="0" />
+		<edge from-layer="4165" from-port="1" to-layer="4166" to-port="1" />
+		<edge from-layer="4166" from-port="2" to-layer="4167" to-port="1" />
+		<edge from-layer="4167" from-port="2" to-layer="4168" to-port="0" />
+		<edge from-layer="4168" from-port="2" to-layer="4170" to-port="0" />
+		<edge from-layer="4168" from-port="2" to-layer="4212" to-port="1" />
+		<edge from-layer="4169" from-port="0" to-layer="4170" to-port="1" />
+		<edge from-layer="4170" from-port="2" to-layer="4172" to-port="0" />
+		<edge from-layer="4171" from-port="0" to-layer="4172" to-port="1" />
+		<edge from-layer="4172" from-port="2" to-layer="4174" to-port="0" />
+		<edge from-layer="4173" from-port="0" to-layer="4174" to-port="1" />
+		<edge from-layer="4174" from-port="2" to-layer="4183" to-port="0" />
+		<edge from-layer="4175" from-port="0" to-layer="4176" to-port="0" />
+		<edge from-layer="4176" from-port="1" to-layer="4179" to-port="0" />
+		<edge from-layer="4177" from-port="0" to-layer="4178" to-port="0" />
+		<edge from-layer="4178" from-port="1" to-layer="4179" to-port="1" />
+		<edge from-layer="4179" from-port="2" to-layer="4181" to-port="0" />
+		<edge from-layer="4180" from-port="0" to-layer="4181" to-port="1" />
+		<edge from-layer="4181" from-port="2" to-layer="4182" to-port="0" />
+		<edge from-layer="4182" from-port="1" to-layer="4183" to-port="1" />
+		<edge from-layer="4183" from-port="2" to-layer="4184" to-port="1" />
+		<edge from-layer="4184" from-port="2" to-layer="4199" to-port="0" />
+		<edge from-layer="4184" from-port="2" to-layer="4186" to-port="0" />
+		<edge from-layer="4184" from-port="2" to-layer="4195" to-port="0" />
+		<edge from-layer="4185" from-port="0" to-layer="4195" to-port="1" />
+		<edge from-layer="4186" from-port="1" to-layer="4189" to-port="0" />
+		<edge from-layer="4187" from-port="0" to-layer="4189" to-port="1" />
+		<edge from-layer="4187" from-port="0" to-layer="4195" to-port="4" />
+		<edge from-layer="4187" from-port="0" to-layer="4199" to-port="4" />
+		<edge from-layer="4188" from-port="0" to-layer="4189" to-port="2" />
+		<edge from-layer="4189" from-port="3" to-layer="4191" to-port="0" />
+		<edge from-layer="4190" from-port="0" to-layer="4191" to-port="1" />
+		<edge from-layer="4191" from-port="2" to-layer="4193" to-port="0" />
+		<edge from-layer="4192" from-port="0" to-layer="4193" to-port="1" />
+		<edge from-layer="4193" from-port="2" to-layer="4195" to-port="2" />
+		<edge from-layer="4193" from-port="2" to-layer="4197" to-port="0" />
+		<edge from-layer="4193" from-port="2" to-layer="4199" to-port="1" />
+		<edge from-layer="4194" from-port="0" to-layer="4195" to-port="3" />
+		<edge from-layer="4195" from-port="5" to-layer="4201" to-port="0" />
+		<edge from-layer="4196" from-port="0" to-layer="4197" to-port="1" />
+		<edge from-layer="4197" from-port="2" to-layer="4199" to-port="2" />
+		<edge from-layer="4198" from-port="0" to-layer="4199" to-port="3" />
+		<edge from-layer="4199" from-port="5" to-layer="4200" to-port="0" />
+		<edge from-layer="4200" from-port="1" to-layer="4201" to-port="1" />
+		<edge from-layer="4201" from-port="2" to-layer="4210" to-port="0" />
+		<edge from-layer="4202" from-port="0" to-layer="4203" to-port="0" />
+		<edge from-layer="4203" from-port="1" to-layer="4206" to-port="0" />
+		<edge from-layer="4204" from-port="0" to-layer="4205" to-port="0" />
+		<edge from-layer="4205" from-port="1" to-layer="4206" to-port="1" />
+		<edge from-layer="4206" from-port="2" to-layer="4208" to-port="0" />
+		<edge from-layer="4207" from-port="0" to-layer="4208" to-port="1" />
+		<edge from-layer="4208" from-port="2" to-layer="4209" to-port="0" />
+		<edge from-layer="4209" from-port="1" to-layer="4210" to-port="1" />
+		<edge from-layer="4210" from-port="2" to-layer="4211" to-port="1" />
+		<edge from-layer="4211" from-port="2" to-layer="4212" to-port="0" />
+		<edge from-layer="4212" from-port="2" to-layer="4217" to-port="0" />
+		<edge from-layer="4213" from-port="0" to-layer="4217" to-port="1" />
+		<edge from-layer="4214" from-port="0" to-layer="4217" to-port="2" />
+		<edge from-layer="4215" from-port="0" to-layer="4217" to-port="3" />
+		<edge from-layer="4216" from-port="0" to-layer="4217" to-port="4" />
+		<edge from-layer="4217" from-port="5" to-layer="4219" to-port="0" />
+		<edge from-layer="4218" from-port="0" to-layer="4219" to-port="1" />
+		<edge from-layer="4219" from-port="2" to-layer="4221" to-port="0" />
+		<edge from-layer="4220" from-port="0" to-layer="4221" to-port="1" />
+		<edge from-layer="4221" from-port="2" to-layer="4226" to-port="0" />
+		<edge from-layer="4222" from-port="0" to-layer="4223" to-port="0" />
+		<edge from-layer="4223" from-port="1" to-layer="4225" to-port="0" />
+		<edge from-layer="4224" from-port="0" to-layer="4225" to-port="1" />
+		<edge from-layer="4225" from-port="2" to-layer="4226" to-port="1" />
+		<edge from-layer="4226" from-port="2" to-layer="4228" to-port="0" />
+		<edge from-layer="4227" from-port="0" to-layer="4228" to-port="1" />
+		<edge from-layer="4228" from-port="2" to-layer="4229" to-port="0" />
+		<edge from-layer="4229" from-port="2" to-layer="4230" to-port="0" />
+		<edge from-layer="4230" from-port="2" to-layer="4235" to-port="0" />
+		<edge from-layer="4230" from-port="2" to-layer="4244" to-port="0" />
+		<edge from-layer="4231" from-port="0" to-layer="4235" to-port="1" />
+		<edge from-layer="4232" from-port="0" to-layer="4235" to-port="2" />
+		<edge from-layer="4233" from-port="0" to-layer="4235" to-port="3" />
+		<edge from-layer="4234" from-port="0" to-layer="4235" to-port="4" />
+		<edge from-layer="4235" from-port="5" to-layer="4240" to-port="0" />
+		<edge from-layer="4236" from-port="0" to-layer="4237" to-port="0" />
+		<edge from-layer="4237" from-port="1" to-layer="4239" to-port="0" />
+		<edge from-layer="4238" from-port="0" to-layer="4239" to-port="1" />
+		<edge from-layer="4239" from-port="2" to-layer="4240" to-port="1" />
+		<edge from-layer="4240" from-port="2" to-layer="4242" to-port="0" />
+		<edge from-layer="4241" from-port="0" to-layer="4242" to-port="1" />
+		<edge from-layer="4242" from-port="2" to-layer="4305" to-port="0" />
+		<edge from-layer="4243" from-port="0" to-layer="4244" to-port="1" />
+		<edge from-layer="4244" from-port="2" to-layer="4246" to-port="0" />
+		<edge from-layer="4245" from-port="0" to-layer="4246" to-port="1" />
+		<edge from-layer="4246" from-port="2" to-layer="4248" to-port="0" />
+		<edge from-layer="4247" from-port="0" to-layer="4248" to-port="1" />
+		<edge from-layer="4248" from-port="2" to-layer="4250" to-port="0" />
+		<edge from-layer="4249" from-port="0" to-layer="4250" to-port="1" />
+		<edge from-layer="4250" from-port="2" to-layer="4252" to-port="0" />
+		<edge from-layer="4251" from-port="0" to-layer="4252" to-port="1" />
+		<edge from-layer="4252" from-port="2" to-layer="4253" to-port="0" />
+		<edge from-layer="4253" from-port="1" to-layer="4258" to-port="0" />
+		<edge from-layer="4254" from-port="0" to-layer="4258" to-port="1" />
+		<edge from-layer="4255" from-port="0" to-layer="4258" to-port="2" />
+		<edge from-layer="4256" from-port="0" to-layer="4258" to-port="3" />
+		<edge from-layer="4257" from-port="0" to-layer="4258" to-port="4" />
+		<edge from-layer="4258" from-port="5" to-layer="4263" to-port="0" />
+		<edge from-layer="4259" from-port="0" to-layer="4260" to-port="0" />
+		<edge from-layer="4260" from-port="1" to-layer="4262" to-port="0" />
+		<edge from-layer="4261" from-port="0" to-layer="4262" to-port="1" />
+		<edge from-layer="4262" from-port="2" to-layer="4263" to-port="1" />
+		<edge from-layer="4263" from-port="2" to-layer="4265" to-port="0" />
+		<edge from-layer="4264" from-port="0" to-layer="4265" to-port="1" />
+		<edge from-layer="4265" from-port="2" to-layer="4281" to-port="0" />
+		<edge from-layer="4266" from-port="0" to-layer="4267" to-port="0" />
+		<edge from-layer="4267" from-port="1" to-layer="4270" to-port="0" />
+		<edge from-layer="4268" from-port="0" to-layer="4269" to-port="0" />
+		<edge from-layer="4269" from-port="1" to-layer="4270" to-port="1" />
+		<edge from-layer="4270" from-port="2" to-layer="4272" to-port="0" />
+		<edge from-layer="4271" from-port="0" to-layer="4272" to-port="1" />
+		<edge from-layer="4272" from-port="2" to-layer="4273" to-port="0" />
+		<edge from-layer="4273" from-port="1" to-layer="4274" to-port="1" />
+		<edge from-layer="4274" from-port="2" to-layer="4276" to-port="0" />
+		<edge from-layer="4275" from-port="0" to-layer="4276" to-port="1" />
+		<edge from-layer="4276" from-port="2" to-layer="4278" to-port="0" />
+		<edge from-layer="4277" from-port="0" to-layer="4278" to-port="1" />
+		<edge from-layer="4278" from-port="2" to-layer="4280" to-port="0" />
+		<edge from-layer="4279" from-port="0" to-layer="4280" to-port="1" />
+		<edge from-layer="4280" from-port="2" to-layer="4281" to-port="1" />
+		<edge from-layer="4281" from-port="2" to-layer="4283" to-port="0" />
+		<edge from-layer="4282" from-port="0" to-layer="4283" to-port="1" />
+		<edge from-layer="4283" from-port="2" to-layer="4285" to-port="0" />
+		<edge from-layer="4284" from-port="0" to-layer="4285" to-port="1" />
+		<edge from-layer="4285" from-port="2" to-layer="4287" to-port="0" />
+		<edge from-layer="4286" from-port="0" to-layer="4287" to-port="1" />
+		<edge from-layer="4287" from-port="2" to-layer="4289" to-port="0" />
+		<edge from-layer="4288" from-port="0" to-layer="4289" to-port="1" />
+		<edge from-layer="4289" from-port="2" to-layer="4291" to-port="0" />
+		<edge from-layer="4290" from-port="0" to-layer="4291" to-port="1" />
+		<edge from-layer="4291" from-port="2" to-layer="4292" to-port="0" />
+		<edge from-layer="4292" from-port="1" to-layer="4297" to-port="0" />
+		<edge from-layer="4293" from-port="0" to-layer="4297" to-port="1" />
+		<edge from-layer="4294" from-port="0" to-layer="4297" to-port="2" />
+		<edge from-layer="4295" from-port="0" to-layer="4297" to-port="3" />
+		<edge from-layer="4296" from-port="0" to-layer="4297" to-port="4" />
+		<edge from-layer="4297" from-port="5" to-layer="4302" to-port="0" />
+		<edge from-layer="4298" from-port="0" to-layer="4299" to-port="0" />
+		<edge from-layer="4299" from-port="1" to-layer="4301" to-port="0" />
+		<edge from-layer="4300" from-port="0" to-layer="4301" to-port="1" />
+		<edge from-layer="4301" from-port="2" to-layer="4302" to-port="1" />
+		<edge from-layer="4302" from-port="2" to-layer="4304" to-port="0" />
+		<edge from-layer="4303" from-port="0" to-layer="4304" to-port="1" />
+		<edge from-layer="4304" from-port="2" to-layer="4305" to-port="1" />
+		<edge from-layer="4305" from-port="2" to-layer="4564" to-port="1" />
+		<edge from-layer="4305" from-port="2" to-layer="4307" to-port="0" />
+		<edge from-layer="4306" from-port="0" to-layer="4307" to-port="1" />
+		<edge from-layer="4307" from-port="2" to-layer="4309" to-port="0" />
+		<edge from-layer="4308" from-port="0" to-layer="4309" to-port="1" />
+		<edge from-layer="4309" from-port="2" to-layer="4311" to-port="0" />
+		<edge from-layer="4310" from-port="0" to-layer="4311" to-port="1" />
+		<edge from-layer="4311" from-port="2" to-layer="4313" to-port="0" />
+		<edge from-layer="4312" from-port="0" to-layer="4313" to-port="1" />
+		<edge from-layer="4313" from-port="2" to-layer="4315" to-port="0" />
+		<edge from-layer="4314" from-port="0" to-layer="4315" to-port="1" />
+		<edge from-layer="4315" from-port="2" to-layer="4320" to-port="0" />
+		<edge from-layer="4316" from-port="0" to-layer="4320" to-port="1" />
+		<edge from-layer="4317" from-port="0" to-layer="4320" to-port="2" />
+		<edge from-layer="4318" from-port="0" to-layer="4320" to-port="3" />
+		<edge from-layer="4319" from-port="0" to-layer="4320" to-port="4" />
+		<edge from-layer="4320" from-port="5" to-layer="4325" to-port="0" />
+		<edge from-layer="4321" from-port="0" to-layer="4322" to-port="0" />
+		<edge from-layer="4322" from-port="1" to-layer="4324" to-port="0" />
+		<edge from-layer="4323" from-port="0" to-layer="4324" to-port="1" />
+		<edge from-layer="4324" from-port="2" to-layer="4325" to-port="1" />
+		<edge from-layer="4325" from-port="2" to-layer="4327" to-port="0" />
+		<edge from-layer="4326" from-port="0" to-layer="4327" to-port="1" />
+		<edge from-layer="4327" from-port="2" to-layer="4329" to-port="0" />
+		<edge from-layer="4328" from-port="0" to-layer="4329" to-port="1" />
+		<edge from-layer="4329" from-port="2" to-layer="4331" to-port="0" />
+		<edge from-layer="4330" from-port="0" to-layer="4331" to-port="1" />
+		<edge from-layer="4331" from-port="2" to-layer="4333" to-port="0" />
+		<edge from-layer="4331" from-port="2" to-layer="4417" to-port="1" />
+		<edge from-layer="4332" from-port="0" to-layer="4333" to-port="1" />
+		<edge from-layer="4333" from-port="2" to-layer="4335" to-port="0" />
+		<edge from-layer="4334" from-port="0" to-layer="4335" to-port="1" />
+		<edge from-layer="4335" from-port="2" to-layer="4337" to-port="0" />
+		<edge from-layer="4336" from-port="0" to-layer="4337" to-port="1" />
+		<edge from-layer="4337" from-port="2" to-layer="4397" to-port="0" />
+		<edge from-layer="4337" from-port="2" to-layer="4376" to-port="0" />
+		<edge from-layer="4337" from-port="2" to-layer="4346" to-port="0" />
+		<edge from-layer="4338" from-port="0" to-layer="4339" to-port="0" />
+		<edge from-layer="4339" from-port="1" to-layer="4342" to-port="0" />
+		<edge from-layer="4340" from-port="0" to-layer="4341" to-port="0" />
+		<edge from-layer="4341" from-port="1" to-layer="4342" to-port="1" />
+		<edge from-layer="4342" from-port="2" to-layer="4344" to-port="0" />
+		<edge from-layer="4343" from-port="0" to-layer="4344" to-port="1" />
+		<edge from-layer="4344" from-port="2" to-layer="4345" to-port="0" />
+		<edge from-layer="4345" from-port="1" to-layer="4346" to-port="1" />
+		<edge from-layer="4346" from-port="2" to-layer="4348" to-port="0" />
+		<edge from-layer="4347" from-port="0" to-layer="4348" to-port="1" />
+		<edge from-layer="4348" from-port="2" to-layer="4350" to-port="0" />
+		<edge from-layer="4349" from-port="0" to-layer="4350" to-port="1" />
+		<edge from-layer="4350" from-port="2" to-layer="4352" to-port="0" />
+		<edge from-layer="4350" from-port="2" to-layer="4362" to-port="0" />
+		<edge from-layer="4351" from-port="0" to-layer="4360" to-port="0" />
+		<edge from-layer="4352" from-port="1" to-layer="4357" to-port="0" />
+		<edge from-layer="4353" from-port="0" to-layer="4357" to-port="1" />
+		<edge from-layer="4354" from-port="0" to-layer="4357" to-port="2" />
+		<edge from-layer="4355" from-port="0" to-layer="4357" to-port="3" />
+		<edge from-layer="4356" from-port="0" to-layer="4357" to-port="4" />
+		<edge from-layer="4357" from-port="5" to-layer="4358" to-port="0" />
+		<edge from-layer="4358" from-port="1" to-layer="4359" to-port="0" />
+		<edge from-layer="4359" from-port="1" to-layer="4360" to-port="1" />
+		<edge from-layer="4360" from-port="2" to-layer="4361" to-port="0" />
+		<edge from-layer="4361" from-port="1" to-layer="4362" to-port="1" />
+		<edge from-layer="4361" from-port="1" to-layer="4381" to-port="1" />
+		<edge from-layer="4362" from-port="2" to-layer="4367" to-port="0" />
+		<edge from-layer="4363" from-port="0" to-layer="4367" to-port="1" />
+		<edge from-layer="4364" from-port="0" to-layer="4367" to-port="2" />
+		<edge from-layer="4365" from-port="0" to-layer="4367" to-port="3" />
+		<edge from-layer="4366" from-port="0" to-layer="4367" to-port="4" />
+		<edge from-layer="4367" from-port="5" to-layer="4387" to-port="0" />
+		<edge from-layer="4368" from-port="0" to-layer="4369" to-port="0" />
+		<edge from-layer="4369" from-port="1" to-layer="4372" to-port="0" />
+		<edge from-layer="4370" from-port="0" to-layer="4371" to-port="0" />
+		<edge from-layer="4371" from-port="1" to-layer="4372" to-port="1" />
+		<edge from-layer="4372" from-port="2" to-layer="4374" to-port="0" />
+		<edge from-layer="4373" from-port="0" to-layer="4374" to-port="1" />
+		<edge from-layer="4374" from-port="2" to-layer="4375" to-port="0" />
+		<edge from-layer="4375" from-port="1" to-layer="4376" to-port="1" />
+		<edge from-layer="4376" from-port="2" to-layer="4378" to-port="0" />
+		<edge from-layer="4377" from-port="0" to-layer="4378" to-port="1" />
+		<edge from-layer="4378" from-port="2" to-layer="4380" to-port="0" />
+		<edge from-layer="4379" from-port="0" to-layer="4380" to-port="1" />
+		<edge from-layer="4380" from-port="2" to-layer="4381" to-port="0" />
+		<edge from-layer="4381" from-port="2" to-layer="4386" to-port="0" />
+		<edge from-layer="4382" from-port="0" to-layer="4386" to-port="1" />
+		<edge from-layer="4383" from-port="0" to-layer="4386" to-port="2" />
+		<edge from-layer="4384" from-port="0" to-layer="4386" to-port="3" />
+		<edge from-layer="4385" from-port="0" to-layer="4386" to-port="4" />
+		<edge from-layer="4386" from-port="5" to-layer="4387" to-port="1" />
+		<edge from-layer="4387" from-port="2" to-layer="4388" to-port="0" />
+		<edge from-layer="4388" from-port="1" to-layer="4402" to-port="0" />
+		<edge from-layer="4389" from-port="0" to-layer="4390" to-port="0" />
+		<edge from-layer="4390" from-port="1" to-layer="4393" to-port="0" />
+		<edge from-layer="4391" from-port="0" to-layer="4392" to-port="0" />
+		<edge from-layer="4392" from-port="1" to-layer="4393" to-port="1" />
+		<edge from-layer="4393" from-port="2" to-layer="4395" to-port="0" />
+		<edge from-layer="4394" from-port="0" to-layer="4395" to-port="1" />
+		<edge from-layer="4395" from-port="2" to-layer="4396" to-port="0" />
+		<edge from-layer="4396" from-port="1" to-layer="4397" to-port="1" />
+		<edge from-layer="4397" from-port="2" to-layer="4399" to-port="0" />
+		<edge from-layer="4398" from-port="0" to-layer="4399" to-port="1" />
+		<edge from-layer="4399" from-port="2" to-layer="4401" to-port="0" />
+		<edge from-layer="4400" from-port="0" to-layer="4401" to-port="1" />
+		<edge from-layer="4401" from-port="2" to-layer="4402" to-port="1" />
+		<edge from-layer="4402" from-port="2" to-layer="4404" to-port="0" />
+		<edge from-layer="4403" from-port="0" to-layer="4404" to-port="1" />
+		<edge from-layer="4404" from-port="2" to-layer="4406" to-port="0" />
+		<edge from-layer="4405" from-port="0" to-layer="4406" to-port="1" />
+		<edge from-layer="4406" from-port="2" to-layer="4415" to-port="0" />
+		<edge from-layer="4407" from-port="0" to-layer="4408" to-port="0" />
+		<edge from-layer="4408" from-port="1" to-layer="4411" to-port="0" />
+		<edge from-layer="4409" from-port="0" to-layer="4410" to-port="0" />
+		<edge from-layer="4410" from-port="1" to-layer="4411" to-port="1" />
+		<edge from-layer="4411" from-port="2" to-layer="4413" to-port="0" />
+		<edge from-layer="4412" from-port="0" to-layer="4413" to-port="1" />
+		<edge from-layer="4413" from-port="2" to-layer="4414" to-port="0" />
+		<edge from-layer="4414" from-port="1" to-layer="4415" to-port="1" />
+		<edge from-layer="4415" from-port="2" to-layer="4416" to-port="1" />
+		<edge from-layer="4416" from-port="2" to-layer="4417" to-port="0" />
+		<edge from-layer="4417" from-port="2" to-layer="4419" to-port="0" />
+		<edge from-layer="4417" from-port="2" to-layer="4503" to-port="1" />
+		<edge from-layer="4418" from-port="0" to-layer="4419" to-port="1" />
+		<edge from-layer="4419" from-port="2" to-layer="4421" to-port="0" />
+		<edge from-layer="4420" from-port="0" to-layer="4421" to-port="1" />
+		<edge from-layer="4421" from-port="2" to-layer="4423" to-port="0" />
+		<edge from-layer="4422" from-port="0" to-layer="4423" to-port="1" />
+		<edge from-layer="4423" from-port="2" to-layer="4432" to-port="0" />
+		<edge from-layer="4424" from-port="0" to-layer="4425" to-port="0" />
+		<edge from-layer="4425" from-port="1" to-layer="4428" to-port="0" />
+		<edge from-layer="4426" from-port="0" to-layer="4427" to-port="0" />
+		<edge from-layer="4427" from-port="1" to-layer="4428" to-port="1" />
+		<edge from-layer="4428" from-port="2" to-layer="4430" to-port="0" />
+		<edge from-layer="4429" from-port="0" to-layer="4430" to-port="1" />
+		<edge from-layer="4430" from-port="2" to-layer="4431" to-port="0" />
+		<edge from-layer="4431" from-port="1" to-layer="4432" to-port="1" />
+		<edge from-layer="4432" from-port="2" to-layer="4434" to-port="0" />
+		<edge from-layer="4433" from-port="0" to-layer="4434" to-port="1" />
+		<edge from-layer="4434" from-port="2" to-layer="4436" to-port="0" />
+		<edge from-layer="4435" from-port="0" to-layer="4436" to-port="1" />
+		<edge from-layer="4436" from-port="2" to-layer="4438" to-port="0" />
+		<edge from-layer="4436" from-port="2" to-layer="4448" to-port="0" />
+		<edge from-layer="4437" from-port="0" to-layer="4446" to-port="0" />
+		<edge from-layer="4438" from-port="1" to-layer="4443" to-port="0" />
+		<edge from-layer="4439" from-port="0" to-layer="4443" to-port="1" />
+		<edge from-layer="4440" from-port="0" to-layer="4443" to-port="2" />
+		<edge from-layer="4441" from-port="0" to-layer="4443" to-port="3" />
+		<edge from-layer="4442" from-port="0" to-layer="4443" to-port="4" />
+		<edge from-layer="4443" from-port="5" to-layer="4444" to-port="0" />
+		<edge from-layer="4444" from-port="1" to-layer="4445" to-port="0" />
+		<edge from-layer="4445" from-port="1" to-layer="4446" to-port="1" />
+		<edge from-layer="4446" from-port="2" to-layer="4447" to-port="0" />
+		<edge from-layer="4447" from-port="1" to-layer="4467" to-port="1" />
+		<edge from-layer="4447" from-port="1" to-layer="4448" to-port="1" />
+		<edge from-layer="4448" from-port="2" to-layer="4453" to-port="0" />
+		<edge from-layer="4449" from-port="0" to-layer="4453" to-port="1" />
+		<edge from-layer="4450" from-port="0" to-layer="4453" to-port="2" />
+		<edge from-layer="4451" from-port="0" to-layer="4453" to-port="3" />
+		<edge from-layer="4452" from-port="0" to-layer="4453" to-port="4" />
+		<edge from-layer="4453" from-port="5" to-layer="4473" to-port="0" />
+		<edge from-layer="4454" from-port="0" to-layer="4455" to-port="0" />
+		<edge from-layer="4455" from-port="1" to-layer="4458" to-port="0" />
+		<edge from-layer="4456" from-port="0" to-layer="4457" to-port="0" />
+		<edge from-layer="4457" from-port="1" to-layer="4458" to-port="1" />
+		<edge from-layer="4458" from-port="2" to-layer="4460" to-port="0" />
+		<edge from-layer="4459" from-port="0" to-layer="4460" to-port="1" />
+		<edge from-layer="4460" from-port="2" to-layer="4461" to-port="0" />
+		<edge from-layer="4461" from-port="1" to-layer="4462" to-port="1" />
+		<edge from-layer="4462" from-port="2" to-layer="4464" to-port="0" />
+		<edge from-layer="4463" from-port="0" to-layer="4464" to-port="1" />
+		<edge from-layer="4464" from-port="2" to-layer="4466" to-port="0" />
+		<edge from-layer="4465" from-port="0" to-layer="4466" to-port="1" />
+		<edge from-layer="4466" from-port="2" to-layer="4467" to-port="0" />
+		<edge from-layer="4467" from-port="2" to-layer="4472" to-port="0" />
+		<edge from-layer="4468" from-port="0" to-layer="4472" to-port="1" />
+		<edge from-layer="4469" from-port="0" to-layer="4472" to-port="2" />
+		<edge from-layer="4470" from-port="0" to-layer="4472" to-port="3" />
+		<edge from-layer="4471" from-port="0" to-layer="4472" to-port="4" />
+		<edge from-layer="4472" from-port="5" to-layer="4473" to-port="1" />
+		<edge from-layer="4473" from-port="2" to-layer="4474" to-port="0" />
+		<edge from-layer="4474" from-port="1" to-layer="4488" to-port="0" />
+		<edge from-layer="4475" from-port="0" to-layer="4476" to-port="0" />
+		<edge from-layer="4476" from-port="1" to-layer="4479" to-port="0" />
+		<edge from-layer="4477" from-port="0" to-layer="4478" to-port="0" />
+		<edge from-layer="4478" from-port="1" to-layer="4479" to-port="1" />
+		<edge from-layer="4479" from-port="2" to-layer="4481" to-port="0" />
+		<edge from-layer="4480" from-port="0" to-layer="4481" to-port="1" />
+		<edge from-layer="4481" from-port="2" to-layer="4482" to-port="0" />
+		<edge from-layer="4482" from-port="1" to-layer="4483" to-port="1" />
+		<edge from-layer="4483" from-port="2" to-layer="4485" to-port="0" />
+		<edge from-layer="4484" from-port="0" to-layer="4485" to-port="1" />
+		<edge from-layer="4485" from-port="2" to-layer="4487" to-port="0" />
+		<edge from-layer="4486" from-port="0" to-layer="4487" to-port="1" />
+		<edge from-layer="4487" from-port="2" to-layer="4488" to-port="1" />
+		<edge from-layer="4488" from-port="2" to-layer="4490" to-port="0" />
+		<edge from-layer="4489" from-port="0" to-layer="4490" to-port="1" />
+		<edge from-layer="4490" from-port="2" to-layer="4492" to-port="0" />
+		<edge from-layer="4491" from-port="0" to-layer="4492" to-port="1" />
+		<edge from-layer="4492" from-port="2" to-layer="4501" to-port="0" />
+		<edge from-layer="4493" from-port="0" to-layer="4494" to-port="0" />
+		<edge from-layer="4494" from-port="1" to-layer="4497" to-port="0" />
+		<edge from-layer="4495" from-port="0" to-layer="4496" to-port="0" />
+		<edge from-layer="4496" from-port="1" to-layer="4497" to-port="1" />
+		<edge from-layer="4497" from-port="2" to-layer="4499" to-port="0" />
+		<edge from-layer="4498" from-port="0" to-layer="4499" to-port="1" />
+		<edge from-layer="4499" from-port="2" to-layer="4500" to-port="0" />
+		<edge from-layer="4500" from-port="1" to-layer="4501" to-port="1" />
+		<edge from-layer="4501" from-port="2" to-layer="4502" to-port="1" />
+		<edge from-layer="4502" from-port="2" to-layer="4503" to-port="0" />
+		<edge from-layer="4503" from-port="2" to-layer="4505" to-port="0" />
+		<edge from-layer="4503" from-port="2" to-layer="4547" to-port="1" />
+		<edge from-layer="4504" from-port="0" to-layer="4505" to-port="1" />
+		<edge from-layer="4505" from-port="2" to-layer="4507" to-port="0" />
+		<edge from-layer="4506" from-port="0" to-layer="4507" to-port="1" />
+		<edge from-layer="4507" from-port="2" to-layer="4509" to-port="0" />
+		<edge from-layer="4508" from-port="0" to-layer="4509" to-port="1" />
+		<edge from-layer="4509" from-port="2" to-layer="4518" to-port="0" />
+		<edge from-layer="4510" from-port="0" to-layer="4511" to-port="0" />
+		<edge from-layer="4511" from-port="1" to-layer="4514" to-port="0" />
+		<edge from-layer="4512" from-port="0" to-layer="4513" to-port="0" />
+		<edge from-layer="4513" from-port="1" to-layer="4514" to-port="1" />
+		<edge from-layer="4514" from-port="2" to-layer="4516" to-port="0" />
+		<edge from-layer="4515" from-port="0" to-layer="4516" to-port="1" />
+		<edge from-layer="4516" from-port="2" to-layer="4517" to-port="0" />
+		<edge from-layer="4517" from-port="1" to-layer="4518" to-port="1" />
+		<edge from-layer="4518" from-port="2" to-layer="4519" to-port="1" />
+		<edge from-layer="4519" from-port="2" to-layer="4530" to-port="0" />
+		<edge from-layer="4519" from-port="2" to-layer="4534" to-port="0" />
+		<edge from-layer="4519" from-port="2" to-layer="4521" to-port="0" />
+		<edge from-layer="4520" from-port="0" to-layer="4530" to-port="1" />
+		<edge from-layer="4521" from-port="1" to-layer="4524" to-port="0" />
+		<edge from-layer="4522" from-port="0" to-layer="4534" to-port="4" />
+		<edge from-layer="4522" from-port="0" to-layer="4524" to-port="1" />
+		<edge from-layer="4522" from-port="0" to-layer="4530" to-port="4" />
+		<edge from-layer="4523" from-port="0" to-layer="4524" to-port="2" />
+		<edge from-layer="4524" from-port="3" to-layer="4526" to-port="0" />
+		<edge from-layer="4525" from-port="0" to-layer="4526" to-port="1" />
+		<edge from-layer="4526" from-port="2" to-layer="4528" to-port="0" />
+		<edge from-layer="4527" from-port="0" to-layer="4528" to-port="1" />
+		<edge from-layer="4528" from-port="2" to-layer="4532" to-port="0" />
+		<edge from-layer="4528" from-port="2" to-layer="4530" to-port="2" />
+		<edge from-layer="4528" from-port="2" to-layer="4534" to-port="1" />
+		<edge from-layer="4529" from-port="0" to-layer="4530" to-port="3" />
+		<edge from-layer="4530" from-port="5" to-layer="4536" to-port="0" />
+		<edge from-layer="4531" from-port="0" to-layer="4532" to-port="1" />
+		<edge from-layer="4532" from-port="2" to-layer="4534" to-port="2" />
+		<edge from-layer="4533" from-port="0" to-layer="4534" to-port="3" />
+		<edge from-layer="4534" from-port="5" to-layer="4535" to-port="0" />
+		<edge from-layer="4535" from-port="1" to-layer="4536" to-port="1" />
+		<edge from-layer="4536" from-port="2" to-layer="4545" to-port="0" />
+		<edge from-layer="4537" from-port="0" to-layer="4538" to-port="0" />
+		<edge from-layer="4538" from-port="1" to-layer="4541" to-port="0" />
+		<edge from-layer="4539" from-port="0" to-layer="4540" to-port="0" />
+		<edge from-layer="4540" from-port="1" to-layer="4541" to-port="1" />
+		<edge from-layer="4541" from-port="2" to-layer="4543" to-port="0" />
+		<edge from-layer="4542" from-port="0" to-layer="4543" to-port="1" />
+		<edge from-layer="4543" from-port="2" to-layer="4544" to-port="0" />
+		<edge from-layer="4544" from-port="1" to-layer="4545" to-port="1" />
+		<edge from-layer="4545" from-port="2" to-layer="4546" to-port="1" />
+		<edge from-layer="4546" from-port="2" to-layer="4547" to-port="0" />
+		<edge from-layer="4547" from-port="2" to-layer="4552" to-port="0" />
+		<edge from-layer="4548" from-port="0" to-layer="4552" to-port="1" />
+		<edge from-layer="4549" from-port="0" to-layer="4552" to-port="2" />
+		<edge from-layer="4550" from-port="0" to-layer="4552" to-port="3" />
+		<edge from-layer="4551" from-port="0" to-layer="4552" to-port="4" />
+		<edge from-layer="4552" from-port="5" to-layer="4554" to-port="0" />
+		<edge from-layer="4553" from-port="0" to-layer="4554" to-port="1" />
+		<edge from-layer="4554" from-port="2" to-layer="4556" to-port="0" />
+		<edge from-layer="4555" from-port="0" to-layer="4556" to-port="1" />
+		<edge from-layer="4556" from-port="2" to-layer="4561" to-port="0" />
+		<edge from-layer="4557" from-port="0" to-layer="4558" to-port="0" />
+		<edge from-layer="4558" from-port="1" to-layer="4560" to-port="0" />
+		<edge from-layer="4559" from-port="0" to-layer="4560" to-port="1" />
+		<edge from-layer="4560" from-port="2" to-layer="4561" to-port="1" />
+		<edge from-layer="4561" from-port="2" to-layer="4563" to-port="0" />
+		<edge from-layer="4562" from-port="0" to-layer="4563" to-port="1" />
+		<edge from-layer="4563" from-port="2" to-layer="4564" to-port="0" />
+		<edge from-layer="4564" from-port="2" to-layer="4565" to-port="0" />
+		<edge from-layer="4565" from-port="2" to-layer="4570" to-port="0" />
+		<edge from-layer="4565" from-port="2" to-layer="4579" to-port="0" />
+		<edge from-layer="4566" from-port="0" to-layer="4570" to-port="1" />
+		<edge from-layer="4567" from-port="0" to-layer="4570" to-port="2" />
+		<edge from-layer="4568" from-port="0" to-layer="4570" to-port="3" />
+		<edge from-layer="4569" from-port="0" to-layer="4570" to-port="4" />
+		<edge from-layer="4570" from-port="5" to-layer="4575" to-port="0" />
+		<edge from-layer="4571" from-port="0" to-layer="4572" to-port="0" />
+		<edge from-layer="4572" from-port="1" to-layer="4574" to-port="0" />
+		<edge from-layer="4573" from-port="0" to-layer="4574" to-port="1" />
+		<edge from-layer="4574" from-port="2" to-layer="4575" to-port="1" />
+		<edge from-layer="4575" from-port="2" to-layer="4577" to-port="0" />
+		<edge from-layer="4576" from-port="0" to-layer="4577" to-port="1" />
+		<edge from-layer="4577" from-port="2" to-layer="4640" to-port="0" />
+		<edge from-layer="4578" from-port="0" to-layer="4579" to-port="1" />
+		<edge from-layer="4579" from-port="2" to-layer="4581" to-port="0" />
+		<edge from-layer="4580" from-port="0" to-layer="4581" to-port="1" />
+		<edge from-layer="4581" from-port="2" to-layer="4583" to-port="0" />
+		<edge from-layer="4582" from-port="0" to-layer="4583" to-port="1" />
+		<edge from-layer="4583" from-port="2" to-layer="4585" to-port="0" />
+		<edge from-layer="4584" from-port="0" to-layer="4585" to-port="1" />
+		<edge from-layer="4585" from-port="2" to-layer="4587" to-port="0" />
+		<edge from-layer="4586" from-port="0" to-layer="4587" to-port="1" />
+		<edge from-layer="4587" from-port="2" to-layer="4588" to-port="0" />
+		<edge from-layer="4588" from-port="1" to-layer="4593" to-port="0" />
+		<edge from-layer="4589" from-port="0" to-layer="4593" to-port="1" />
+		<edge from-layer="4590" from-port="0" to-layer="4593" to-port="2" />
+		<edge from-layer="4591" from-port="0" to-layer="4593" to-port="3" />
+		<edge from-layer="4592" from-port="0" to-layer="4593" to-port="4" />
+		<edge from-layer="4593" from-port="5" to-layer="4598" to-port="0" />
+		<edge from-layer="4594" from-port="0" to-layer="4595" to-port="0" />
+		<edge from-layer="4595" from-port="1" to-layer="4597" to-port="0" />
+		<edge from-layer="4596" from-port="0" to-layer="4597" to-port="1" />
+		<edge from-layer="4597" from-port="2" to-layer="4598" to-port="1" />
+		<edge from-layer="4598" from-port="2" to-layer="4600" to-port="0" />
+		<edge from-layer="4599" from-port="0" to-layer="4600" to-port="1" />
+		<edge from-layer="4600" from-port="2" to-layer="4616" to-port="0" />
+		<edge from-layer="4601" from-port="0" to-layer="4602" to-port="0" />
+		<edge from-layer="4602" from-port="1" to-layer="4605" to-port="0" />
+		<edge from-layer="4603" from-port="0" to-layer="4604" to-port="0" />
+		<edge from-layer="4604" from-port="1" to-layer="4605" to-port="1" />
+		<edge from-layer="4605" from-port="2" to-layer="4607" to-port="0" />
+		<edge from-layer="4606" from-port="0" to-layer="4607" to-port="1" />
+		<edge from-layer="4607" from-port="2" to-layer="4608" to-port="0" />
+		<edge from-layer="4608" from-port="1" to-layer="4609" to-port="1" />
+		<edge from-layer="4609" from-port="2" to-layer="4611" to-port="0" />
+		<edge from-layer="4610" from-port="0" to-layer="4611" to-port="1" />
+		<edge from-layer="4611" from-port="2" to-layer="4613" to-port="0" />
+		<edge from-layer="4612" from-port="0" to-layer="4613" to-port="1" />
+		<edge from-layer="4613" from-port="2" to-layer="4615" to-port="0" />
+		<edge from-layer="4614" from-port="0" to-layer="4615" to-port="1" />
+		<edge from-layer="4615" from-port="2" to-layer="4616" to-port="1" />
+		<edge from-layer="4616" from-port="2" to-layer="4618" to-port="0" />
+		<edge from-layer="4617" from-port="0" to-layer="4618" to-port="1" />
+		<edge from-layer="4618" from-port="2" to-layer="4620" to-port="0" />
+		<edge from-layer="4619" from-port="0" to-layer="4620" to-port="1" />
+		<edge from-layer="4620" from-port="2" to-layer="4622" to-port="0" />
+		<edge from-layer="4621" from-port="0" to-layer="4622" to-port="1" />
+		<edge from-layer="4622" from-port="2" to-layer="4624" to-port="0" />
+		<edge from-layer="4623" from-port="0" to-layer="4624" to-port="1" />
+		<edge from-layer="4624" from-port="2" to-layer="4626" to-port="0" />
+		<edge from-layer="4625" from-port="0" to-layer="4626" to-port="1" />
+		<edge from-layer="4626" from-port="2" to-layer="4627" to-port="0" />
+		<edge from-layer="4627" from-port="1" to-layer="4632" to-port="0" />
+		<edge from-layer="4628" from-port="0" to-layer="4632" to-port="1" />
+		<edge from-layer="4629" from-port="0" to-layer="4632" to-port="2" />
+		<edge from-layer="4630" from-port="0" to-layer="4632" to-port="3" />
+		<edge from-layer="4631" from-port="0" to-layer="4632" to-port="4" />
+		<edge from-layer="4632" from-port="5" to-layer="4637" to-port="0" />
+		<edge from-layer="4633" from-port="0" to-layer="4634" to-port="0" />
+		<edge from-layer="4634" from-port="1" to-layer="4636" to-port="0" />
+		<edge from-layer="4635" from-port="0" to-layer="4636" to-port="1" />
+		<edge from-layer="4636" from-port="2" to-layer="4637" to-port="1" />
+		<edge from-layer="4637" from-port="2" to-layer="4639" to-port="0" />
+		<edge from-layer="4638" from-port="0" to-layer="4639" to-port="1" />
+		<edge from-layer="4639" from-port="2" to-layer="4640" to-port="1" />
+		<edge from-layer="4640" from-port="2" to-layer="4642" to-port="0" />
+		<edge from-layer="4640" from-port="2" to-layer="4899" to-port="1" />
+		<edge from-layer="4641" from-port="0" to-layer="4642" to-port="1" />
+		<edge from-layer="4642" from-port="2" to-layer="4644" to-port="0" />
+		<edge from-layer="4643" from-port="0" to-layer="4644" to-port="1" />
+		<edge from-layer="4644" from-port="2" to-layer="4646" to-port="0" />
+		<edge from-layer="4645" from-port="0" to-layer="4646" to-port="1" />
+		<edge from-layer="4646" from-port="2" to-layer="4648" to-port="0" />
+		<edge from-layer="4647" from-port="0" to-layer="4648" to-port="1" />
+		<edge from-layer="4648" from-port="2" to-layer="4650" to-port="0" />
+		<edge from-layer="4649" from-port="0" to-layer="4650" to-port="1" />
+		<edge from-layer="4650" from-port="2" to-layer="4655" to-port="0" />
+		<edge from-layer="4651" from-port="0" to-layer="4655" to-port="1" />
+		<edge from-layer="4652" from-port="0" to-layer="4655" to-port="2" />
+		<edge from-layer="4653" from-port="0" to-layer="4655" to-port="3" />
+		<edge from-layer="4654" from-port="0" to-layer="4655" to-port="4" />
+		<edge from-layer="4655" from-port="5" to-layer="4660" to-port="0" />
+		<edge from-layer="4656" from-port="0" to-layer="4657" to-port="0" />
+		<edge from-layer="4657" from-port="1" to-layer="4659" to-port="0" />
+		<edge from-layer="4658" from-port="0" to-layer="4659" to-port="1" />
+		<edge from-layer="4659" from-port="2" to-layer="4660" to-port="1" />
+		<edge from-layer="4660" from-port="2" to-layer="4662" to-port="0" />
+		<edge from-layer="4661" from-port="0" to-layer="4662" to-port="1" />
+		<edge from-layer="4662" from-port="2" to-layer="4664" to-port="0" />
+		<edge from-layer="4663" from-port="0" to-layer="4664" to-port="1" />
+		<edge from-layer="4664" from-port="2" to-layer="4666" to-port="0" />
+		<edge from-layer="4665" from-port="0" to-layer="4666" to-port="1" />
+		<edge from-layer="4666" from-port="2" to-layer="4668" to-port="0" />
+		<edge from-layer="4666" from-port="2" to-layer="4752" to-port="1" />
+		<edge from-layer="4667" from-port="0" to-layer="4668" to-port="1" />
+		<edge from-layer="4668" from-port="2" to-layer="4670" to-port="0" />
+		<edge from-layer="4669" from-port="0" to-layer="4670" to-port="1" />
+		<edge from-layer="4670" from-port="2" to-layer="4672" to-port="0" />
+		<edge from-layer="4671" from-port="0" to-layer="4672" to-port="1" />
+		<edge from-layer="4672" from-port="2" to-layer="4681" to-port="0" />
+		<edge from-layer="4672" from-port="2" to-layer="4732" to-port="0" />
+		<edge from-layer="4672" from-port="2" to-layer="4711" to-port="0" />
+		<edge from-layer="4673" from-port="0" to-layer="4674" to-port="0" />
+		<edge from-layer="4674" from-port="1" to-layer="4677" to-port="0" />
+		<edge from-layer="4675" from-port="0" to-layer="4676" to-port="0" />
+		<edge from-layer="4676" from-port="1" to-layer="4677" to-port="1" />
+		<edge from-layer="4677" from-port="2" to-layer="4679" to-port="0" />
+		<edge from-layer="4678" from-port="0" to-layer="4679" to-port="1" />
+		<edge from-layer="4679" from-port="2" to-layer="4680" to-port="0" />
+		<edge from-layer="4680" from-port="1" to-layer="4681" to-port="1" />
+		<edge from-layer="4681" from-port="2" to-layer="4683" to-port="0" />
+		<edge from-layer="4682" from-port="0" to-layer="4683" to-port="1" />
+		<edge from-layer="4683" from-port="2" to-layer="4685" to-port="0" />
+		<edge from-layer="4684" from-port="0" to-layer="4685" to-port="1" />
+		<edge from-layer="4685" from-port="2" to-layer="4687" to-port="0" />
+		<edge from-layer="4685" from-port="2" to-layer="4697" to-port="0" />
+		<edge from-layer="4686" from-port="0" to-layer="4695" to-port="0" />
+		<edge from-layer="4687" from-port="1" to-layer="4692" to-port="0" />
+		<edge from-layer="4688" from-port="0" to-layer="4692" to-port="1" />
+		<edge from-layer="4689" from-port="0" to-layer="4692" to-port="2" />
+		<edge from-layer="4690" from-port="0" to-layer="4692" to-port="3" />
+		<edge from-layer="4691" from-port="0" to-layer="4692" to-port="4" />
+		<edge from-layer="4692" from-port="5" to-layer="4693" to-port="0" />
+		<edge from-layer="4693" from-port="1" to-layer="4694" to-port="0" />
+		<edge from-layer="4694" from-port="1" to-layer="4695" to-port="1" />
+		<edge from-layer="4695" from-port="2" to-layer="4696" to-port="0" />
+		<edge from-layer="4696" from-port="1" to-layer="4716" to-port="1" />
+		<edge from-layer="4696" from-port="1" to-layer="4697" to-port="1" />
+		<edge from-layer="4697" from-port="2" to-layer="4702" to-port="0" />
+		<edge from-layer="4698" from-port="0" to-layer="4702" to-port="1" />
+		<edge from-layer="4699" from-port="0" to-layer="4702" to-port="2" />
+		<edge from-layer="4700" from-port="0" to-layer="4702" to-port="3" />
+		<edge from-layer="4701" from-port="0" to-layer="4702" to-port="4" />
+		<edge from-layer="4702" from-port="5" to-layer="4722" to-port="0" />
+		<edge from-layer="4703" from-port="0" to-layer="4704" to-port="0" />
+		<edge from-layer="4704" from-port="1" to-layer="4707" to-port="0" />
+		<edge from-layer="4705" from-port="0" to-layer="4706" to-port="0" />
+		<edge from-layer="4706" from-port="1" to-layer="4707" to-port="1" />
+		<edge from-layer="4707" from-port="2" to-layer="4709" to-port="0" />
+		<edge from-layer="4708" from-port="0" to-layer="4709" to-port="1" />
+		<edge from-layer="4709" from-port="2" to-layer="4710" to-port="0" />
+		<edge from-layer="4710" from-port="1" to-layer="4711" to-port="1" />
+		<edge from-layer="4711" from-port="2" to-layer="4713" to-port="0" />
+		<edge from-layer="4712" from-port="0" to-layer="4713" to-port="1" />
+		<edge from-layer="4713" from-port="2" to-layer="4715" to-port="0" />
+		<edge from-layer="4714" from-port="0" to-layer="4715" to-port="1" />
+		<edge from-layer="4715" from-port="2" to-layer="4716" to-port="0" />
+		<edge from-layer="4716" from-port="2" to-layer="4721" to-port="0" />
+		<edge from-layer="4717" from-port="0" to-layer="4721" to-port="1" />
+		<edge from-layer="4718" from-port="0" to-layer="4721" to-port="2" />
+		<edge from-layer="4719" from-port="0" to-layer="4721" to-port="3" />
+		<edge from-layer="4720" from-port="0" to-layer="4721" to-port="4" />
+		<edge from-layer="4721" from-port="5" to-layer="4722" to-port="1" />
+		<edge from-layer="4722" from-port="2" to-layer="4723" to-port="0" />
+		<edge from-layer="4723" from-port="1" to-layer="4737" to-port="0" />
+		<edge from-layer="4724" from-port="0" to-layer="4725" to-port="0" />
+		<edge from-layer="4725" from-port="1" to-layer="4728" to-port="0" />
+		<edge from-layer="4726" from-port="0" to-layer="4727" to-port="0" />
+		<edge from-layer="4727" from-port="1" to-layer="4728" to-port="1" />
+		<edge from-layer="4728" from-port="2" to-layer="4730" to-port="0" />
+		<edge from-layer="4729" from-port="0" to-layer="4730" to-port="1" />
+		<edge from-layer="4730" from-port="2" to-layer="4731" to-port="0" />
+		<edge from-layer="4731" from-port="1" to-layer="4732" to-port="1" />
+		<edge from-layer="4732" from-port="2" to-layer="4734" to-port="0" />
+		<edge from-layer="4733" from-port="0" to-layer="4734" to-port="1" />
+		<edge from-layer="4734" from-port="2" to-layer="4736" to-port="0" />
+		<edge from-layer="4735" from-port="0" to-layer="4736" to-port="1" />
+		<edge from-layer="4736" from-port="2" to-layer="4737" to-port="1" />
+		<edge from-layer="4737" from-port="2" to-layer="4739" to-port="0" />
+		<edge from-layer="4738" from-port="0" to-layer="4739" to-port="1" />
+		<edge from-layer="4739" from-port="2" to-layer="4741" to-port="0" />
+		<edge from-layer="4740" from-port="0" to-layer="4741" to-port="1" />
+		<edge from-layer="4741" from-port="2" to-layer="4750" to-port="0" />
+		<edge from-layer="4742" from-port="0" to-layer="4743" to-port="0" />
+		<edge from-layer="4743" from-port="1" to-layer="4746" to-port="0" />
+		<edge from-layer="4744" from-port="0" to-layer="4745" to-port="0" />
+		<edge from-layer="4745" from-port="1" to-layer="4746" to-port="1" />
+		<edge from-layer="4746" from-port="2" to-layer="4748" to-port="0" />
+		<edge from-layer="4747" from-port="0" to-layer="4748" to-port="1" />
+		<edge from-layer="4748" from-port="2" to-layer="4749" to-port="0" />
+		<edge from-layer="4749" from-port="1" to-layer="4750" to-port="1" />
+		<edge from-layer="4750" from-port="2" to-layer="4751" to-port="1" />
+		<edge from-layer="4751" from-port="2" to-layer="4752" to-port="0" />
+		<edge from-layer="4752" from-port="2" to-layer="4838" to-port="1" />
+		<edge from-layer="4752" from-port="2" to-layer="4754" to-port="0" />
+		<edge from-layer="4753" from-port="0" to-layer="4754" to-port="1" />
+		<edge from-layer="4754" from-port="2" to-layer="4756" to-port="0" />
+		<edge from-layer="4755" from-port="0" to-layer="4756" to-port="1" />
+		<edge from-layer="4756" from-port="2" to-layer="4758" to-port="0" />
+		<edge from-layer="4757" from-port="0" to-layer="4758" to-port="1" />
+		<edge from-layer="4758" from-port="2" to-layer="4767" to-port="0" />
+		<edge from-layer="4759" from-port="0" to-layer="4760" to-port="0" />
+		<edge from-layer="4760" from-port="1" to-layer="4763" to-port="0" />
+		<edge from-layer="4761" from-port="0" to-layer="4762" to-port="0" />
+		<edge from-layer="4762" from-port="1" to-layer="4763" to-port="1" />
+		<edge from-layer="4763" from-port="2" to-layer="4765" to-port="0" />
+		<edge from-layer="4764" from-port="0" to-layer="4765" to-port="1" />
+		<edge from-layer="4765" from-port="2" to-layer="4766" to-port="0" />
+		<edge from-layer="4766" from-port="1" to-layer="4767" to-port="1" />
+		<edge from-layer="4767" from-port="2" to-layer="4769" to-port="0" />
+		<edge from-layer="4768" from-port="0" to-layer="4769" to-port="1" />
+		<edge from-layer="4769" from-port="2" to-layer="4771" to-port="0" />
+		<edge from-layer="4770" from-port="0" to-layer="4771" to-port="1" />
+		<edge from-layer="4771" from-port="2" to-layer="4783" to-port="0" />
+		<edge from-layer="4771" from-port="2" to-layer="4773" to-port="0" />
+		<edge from-layer="4772" from-port="0" to-layer="4781" to-port="0" />
+		<edge from-layer="4773" from-port="1" to-layer="4778" to-port="0" />
+		<edge from-layer="4774" from-port="0" to-layer="4778" to-port="1" />
+		<edge from-layer="4775" from-port="0" to-layer="4778" to-port="2" />
+		<edge from-layer="4776" from-port="0" to-layer="4778" to-port="3" />
+		<edge from-layer="4777" from-port="0" to-layer="4778" to-port="4" />
+		<edge from-layer="4778" from-port="5" to-layer="4779" to-port="0" />
+		<edge from-layer="4779" from-port="1" to-layer="4780" to-port="0" />
+		<edge from-layer="4780" from-port="1" to-layer="4781" to-port="1" />
+		<edge from-layer="4781" from-port="2" to-layer="4782" to-port="0" />
+		<edge from-layer="4782" from-port="1" to-layer="4802" to-port="1" />
+		<edge from-layer="4782" from-port="1" to-layer="4783" to-port="1" />
+		<edge from-layer="4783" from-port="2" to-layer="4788" to-port="0" />
+		<edge from-layer="4784" from-port="0" to-layer="4788" to-port="1" />
+		<edge from-layer="4785" from-port="0" to-layer="4788" to-port="2" />
+		<edge from-layer="4786" from-port="0" to-layer="4788" to-port="3" />
+		<edge from-layer="4787" from-port="0" to-layer="4788" to-port="4" />
+		<edge from-layer="4788" from-port="5" to-layer="4808" to-port="0" />
+		<edge from-layer="4789" from-port="0" to-layer="4790" to-port="0" />
+		<edge from-layer="4790" from-port="1" to-layer="4793" to-port="0" />
+		<edge from-layer="4791" from-port="0" to-layer="4792" to-port="0" />
+		<edge from-layer="4792" from-port="1" to-layer="4793" to-port="1" />
+		<edge from-layer="4793" from-port="2" to-layer="4795" to-port="0" />
+		<edge from-layer="4794" from-port="0" to-layer="4795" to-port="1" />
+		<edge from-layer="4795" from-port="2" to-layer="4796" to-port="0" />
+		<edge from-layer="4796" from-port="1" to-layer="4797" to-port="1" />
+		<edge from-layer="4797" from-port="2" to-layer="4799" to-port="0" />
+		<edge from-layer="4798" from-port="0" to-layer="4799" to-port="1" />
+		<edge from-layer="4799" from-port="2" to-layer="4801" to-port="0" />
+		<edge from-layer="4800" from-port="0" to-layer="4801" to-port="1" />
+		<edge from-layer="4801" from-port="2" to-layer="4802" to-port="0" />
+		<edge from-layer="4802" from-port="2" to-layer="4807" to-port="0" />
+		<edge from-layer="4803" from-port="0" to-layer="4807" to-port="1" />
+		<edge from-layer="4804" from-port="0" to-layer="4807" to-port="2" />
+		<edge from-layer="4805" from-port="0" to-layer="4807" to-port="3" />
+		<edge from-layer="4806" from-port="0" to-layer="4807" to-port="4" />
+		<edge from-layer="4807" from-port="5" to-layer="4808" to-port="1" />
+		<edge from-layer="4808" from-port="2" to-layer="4809" to-port="0" />
+		<edge from-layer="4809" from-port="1" to-layer="4823" to-port="0" />
+		<edge from-layer="4810" from-port="0" to-layer="4811" to-port="0" />
+		<edge from-layer="4811" from-port="1" to-layer="4814" to-port="0" />
+		<edge from-layer="4812" from-port="0" to-layer="4813" to-port="0" />
+		<edge from-layer="4813" from-port="1" to-layer="4814" to-port="1" />
+		<edge from-layer="4814" from-port="2" to-layer="4816" to-port="0" />
+		<edge from-layer="4815" from-port="0" to-layer="4816" to-port="1" />
+		<edge from-layer="4816" from-port="2" to-layer="4817" to-port="0" />
+		<edge from-layer="4817" from-port="1" to-layer="4818" to-port="1" />
+		<edge from-layer="4818" from-port="2" to-layer="4820" to-port="0" />
+		<edge from-layer="4819" from-port="0" to-layer="4820" to-port="1" />
+		<edge from-layer="4820" from-port="2" to-layer="4822" to-port="0" />
+		<edge from-layer="4821" from-port="0" to-layer="4822" to-port="1" />
+		<edge from-layer="4822" from-port="2" to-layer="4823" to-port="1" />
+		<edge from-layer="4823" from-port="2" to-layer="4825" to-port="0" />
+		<edge from-layer="4824" from-port="0" to-layer="4825" to-port="1" />
+		<edge from-layer="4825" from-port="2" to-layer="4827" to-port="0" />
+		<edge from-layer="4826" from-port="0" to-layer="4827" to-port="1" />
+		<edge from-layer="4827" from-port="2" to-layer="4836" to-port="0" />
+		<edge from-layer="4828" from-port="0" to-layer="4829" to-port="0" />
+		<edge from-layer="4829" from-port="1" to-layer="4832" to-port="0" />
+		<edge from-layer="4830" from-port="0" to-layer="4831" to-port="0" />
+		<edge from-layer="4831" from-port="1" to-layer="4832" to-port="1" />
+		<edge from-layer="4832" from-port="2" to-layer="4834" to-port="0" />
+		<edge from-layer="4833" from-port="0" to-layer="4834" to-port="1" />
+		<edge from-layer="4834" from-port="2" to-layer="4835" to-port="0" />
+		<edge from-layer="4835" from-port="1" to-layer="4836" to-port="1" />
+		<edge from-layer="4836" from-port="2" to-layer="4837" to-port="1" />
+		<edge from-layer="4837" from-port="2" to-layer="4838" to-port="0" />
+		<edge from-layer="4838" from-port="2" to-layer="4840" to-port="0" />
+		<edge from-layer="4838" from-port="2" to-layer="4882" to-port="1" />
+		<edge from-layer="4839" from-port="0" to-layer="4840" to-port="1" />
+		<edge from-layer="4840" from-port="2" to-layer="4842" to-port="0" />
+		<edge from-layer="4841" from-port="0" to-layer="4842" to-port="1" />
+		<edge from-layer="4842" from-port="2" to-layer="4844" to-port="0" />
+		<edge from-layer="4843" from-port="0" to-layer="4844" to-port="1" />
+		<edge from-layer="4844" from-port="2" to-layer="4853" to-port="0" />
+		<edge from-layer="4845" from-port="0" to-layer="4846" to-port="0" />
+		<edge from-layer="4846" from-port="1" to-layer="4849" to-port="0" />
+		<edge from-layer="4847" from-port="0" to-layer="4848" to-port="0" />
+		<edge from-layer="4848" from-port="1" to-layer="4849" to-port="1" />
+		<edge from-layer="4849" from-port="2" to-layer="4851" to-port="0" />
+		<edge from-layer="4850" from-port="0" to-layer="4851" to-port="1" />
+		<edge from-layer="4851" from-port="2" to-layer="4852" to-port="0" />
+		<edge from-layer="4852" from-port="1" to-layer="4853" to-port="1" />
+		<edge from-layer="4853" from-port="2" to-layer="4854" to-port="1" />
+		<edge from-layer="4854" from-port="2" to-layer="4856" to-port="0" />
+		<edge from-layer="4854" from-port="2" to-layer="4865" to-port="0" />
+		<edge from-layer="4854" from-port="2" to-layer="4869" to-port="0" />
+		<edge from-layer="4855" from-port="0" to-layer="4865" to-port="1" />
+		<edge from-layer="4856" from-port="1" to-layer="4859" to-port="0" />
+		<edge from-layer="4857" from-port="0" to-layer="4869" to-port="4" />
+		<edge from-layer="4857" from-port="0" to-layer="4859" to-port="1" />
+		<edge from-layer="4857" from-port="0" to-layer="4865" to-port="4" />
+		<edge from-layer="4858" from-port="0" to-layer="4859" to-port="2" />
+		<edge from-layer="4859" from-port="3" to-layer="4861" to-port="0" />
+		<edge from-layer="4860" from-port="0" to-layer="4861" to-port="1" />
+		<edge from-layer="4861" from-port="2" to-layer="4863" to-port="0" />
+		<edge from-layer="4862" from-port="0" to-layer="4863" to-port="1" />
+		<edge from-layer="4863" from-port="2" to-layer="4865" to-port="2" />
+		<edge from-layer="4863" from-port="2" to-layer="4867" to-port="0" />
+		<edge from-layer="4863" from-port="2" to-layer="4869" to-port="1" />
+		<edge from-layer="4864" from-port="0" to-layer="4865" to-port="3" />
+		<edge from-layer="4865" from-port="5" to-layer="4871" to-port="0" />
+		<edge from-layer="4866" from-port="0" to-layer="4867" to-port="1" />
+		<edge from-layer="4867" from-port="2" to-layer="4869" to-port="2" />
+		<edge from-layer="4868" from-port="0" to-layer="4869" to-port="3" />
+		<edge from-layer="4869" from-port="5" to-layer="4870" to-port="0" />
+		<edge from-layer="4870" from-port="1" to-layer="4871" to-port="1" />
+		<edge from-layer="4871" from-port="2" to-layer="4880" to-port="0" />
+		<edge from-layer="4872" from-port="0" to-layer="4873" to-port="0" />
+		<edge from-layer="4873" from-port="1" to-layer="4876" to-port="0" />
+		<edge from-layer="4874" from-port="0" to-layer="4875" to-port="0" />
+		<edge from-layer="4875" from-port="1" to-layer="4876" to-port="1" />
+		<edge from-layer="4876" from-port="2" to-layer="4878" to-port="0" />
+		<edge from-layer="4877" from-port="0" to-layer="4878" to-port="1" />
+		<edge from-layer="4878" from-port="2" to-layer="4879" to-port="0" />
+		<edge from-layer="4879" from-port="1" to-layer="4880" to-port="1" />
+		<edge from-layer="4880" from-port="2" to-layer="4881" to-port="1" />
+		<edge from-layer="4881" from-port="2" to-layer="4882" to-port="0" />
+		<edge from-layer="4882" from-port="2" to-layer="4887" to-port="0" />
+		<edge from-layer="4883" from-port="0" to-layer="4887" to-port="1" />
+		<edge from-layer="4884" from-port="0" to-layer="4887" to-port="2" />
+		<edge from-layer="4885" from-port="0" to-layer="4887" to-port="3" />
+		<edge from-layer="4886" from-port="0" to-layer="4887" to-port="4" />
+		<edge from-layer="4887" from-port="5" to-layer="4889" to-port="0" />
+		<edge from-layer="4888" from-port="0" to-layer="4889" to-port="1" />
+		<edge from-layer="4889" from-port="2" to-layer="4891" to-port="0" />
+		<edge from-layer="4890" from-port="0" to-layer="4891" to-port="1" />
+		<edge from-layer="4891" from-port="2" to-layer="4896" to-port="0" />
+		<edge from-layer="4892" from-port="0" to-layer="4893" to-port="0" />
+		<edge from-layer="4893" from-port="1" to-layer="4895" to-port="0" />
+		<edge from-layer="4894" from-port="0" to-layer="4895" to-port="1" />
+		<edge from-layer="4895" from-port="2" to-layer="4896" to-port="1" />
+		<edge from-layer="4896" from-port="2" to-layer="4898" to-port="0" />
+		<edge from-layer="4897" from-port="0" to-layer="4898" to-port="1" />
+		<edge from-layer="4898" from-port="2" to-layer="4899" to-port="0" />
+		<edge from-layer="4899" from-port="2" to-layer="4904" to-port="0" />
+		<edge from-layer="4900" from-port="0" to-layer="4904" to-port="1" />
+		<edge from-layer="4901" from-port="0" to-layer="4904" to-port="2" />
+		<edge from-layer="4902" from-port="0" to-layer="4904" to-port="3" />
+		<edge from-layer="4903" from-port="0" to-layer="4904" to-port="4" />
+		<edge from-layer="4904" from-port="5" to-layer="4906" to-port="0" />
+		<edge from-layer="4905" from-port="0" to-layer="4906" to-port="1" />
+		<edge from-layer="4906" from-port="2" to-layer="4911" to-port="0" />
+		<edge from-layer="4907" from-port="0" to-layer="4911" to-port="1" />
+		<edge from-layer="4908" from-port="0" to-layer="4911" to-port="2" />
+		<edge from-layer="4909" from-port="0" to-layer="4911" to-port="3" />
+		<edge from-layer="4910" from-port="0" to-layer="4911" to-port="4" />
+		<edge from-layer="4911" from-port="5" to-layer="4916" to-port="0" />
+		<edge from-layer="4912" from-port="0" to-layer="4913" to-port="0" />
+		<edge from-layer="4913" from-port="1" to-layer="4915" to-port="0" />
+		<edge from-layer="4914" from-port="0" to-layer="4915" to-port="1" />
+		<edge from-layer="4915" from-port="2" to-layer="4916" to-port="1" />
+		<edge from-layer="4916" from-port="2" to-layer="4918" to-port="0" />
+		<edge from-layer="4917" from-port="0" to-layer="4918" to-port="1" />
+		<edge from-layer="4918" from-port="2" to-layer="4919" to-port="0" />
+		<edge from-layer="4919" from-port="2" to-layer="4924" to-port="0" />
+		<edge from-layer="4919" from-port="2" to-layer="4933" to-port="0" />
+		<edge from-layer="4920" from-port="0" to-layer="4924" to-port="1" />
+		<edge from-layer="4921" from-port="0" to-layer="4924" to-port="2" />
+		<edge from-layer="4922" from-port="0" to-layer="4924" to-port="3" />
+		<edge from-layer="4923" from-port="0" to-layer="4924" to-port="4" />
+		<edge from-layer="4924" from-port="5" to-layer="4929" to-port="0" />
+		<edge from-layer="4925" from-port="0" to-layer="4926" to-port="0" />
+		<edge from-layer="4926" from-port="1" to-layer="4928" to-port="0" />
+		<edge from-layer="4927" from-port="0" to-layer="4928" to-port="1" />
+		<edge from-layer="4928" from-port="2" to-layer="4929" to-port="1" />
+		<edge from-layer="4929" from-port="2" to-layer="4931" to-port="0" />
+		<edge from-layer="4930" from-port="0" to-layer="4931" to-port="1" />
+		<edge from-layer="4931" from-port="2" to-layer="4994" to-port="0" />
+		<edge from-layer="4932" from-port="0" to-layer="4933" to-port="1" />
+		<edge from-layer="4933" from-port="2" to-layer="4935" to-port="0" />
+		<edge from-layer="4934" from-port="0" to-layer="4935" to-port="1" />
+		<edge from-layer="4935" from-port="2" to-layer="4937" to-port="0" />
+		<edge from-layer="4936" from-port="0" to-layer="4937" to-port="1" />
+		<edge from-layer="4937" from-port="2" to-layer="4939" to-port="0" />
+		<edge from-layer="4938" from-port="0" to-layer="4939" to-port="1" />
+		<edge from-layer="4939" from-port="2" to-layer="4941" to-port="0" />
+		<edge from-layer="4940" from-port="0" to-layer="4941" to-port="1" />
+		<edge from-layer="4941" from-port="2" to-layer="4942" to-port="0" />
+		<edge from-layer="4942" from-port="1" to-layer="4947" to-port="0" />
+		<edge from-layer="4943" from-port="0" to-layer="4947" to-port="1" />
+		<edge from-layer="4944" from-port="0" to-layer="4947" to-port="2" />
+		<edge from-layer="4945" from-port="0" to-layer="4947" to-port="3" />
+		<edge from-layer="4946" from-port="0" to-layer="4947" to-port="4" />
+		<edge from-layer="4947" from-port="5" to-layer="4952" to-port="0" />
+		<edge from-layer="4948" from-port="0" to-layer="4949" to-port="0" />
+		<edge from-layer="4949" from-port="1" to-layer="4951" to-port="0" />
+		<edge from-layer="4950" from-port="0" to-layer="4951" to-port="1" />
+		<edge from-layer="4951" from-port="2" to-layer="4952" to-port="1" />
+		<edge from-layer="4952" from-port="2" to-layer="4954" to-port="0" />
+		<edge from-layer="4953" from-port="0" to-layer="4954" to-port="1" />
+		<edge from-layer="4954" from-port="2" to-layer="4970" to-port="0" />
+		<edge from-layer="4955" from-port="0" to-layer="4956" to-port="0" />
+		<edge from-layer="4956" from-port="1" to-layer="4959" to-port="0" />
+		<edge from-layer="4957" from-port="0" to-layer="4958" to-port="0" />
+		<edge from-layer="4958" from-port="1" to-layer="4959" to-port="1" />
+		<edge from-layer="4959" from-port="2" to-layer="4961" to-port="0" />
+		<edge from-layer="4960" from-port="0" to-layer="4961" to-port="1" />
+		<edge from-layer="4961" from-port="2" to-layer="4962" to-port="0" />
+		<edge from-layer="4962" from-port="1" to-layer="4963" to-port="1" />
+		<edge from-layer="4963" from-port="2" to-layer="4965" to-port="0" />
+		<edge from-layer="4964" from-port="0" to-layer="4965" to-port="1" />
+		<edge from-layer="4965" from-port="2" to-layer="4967" to-port="0" />
+		<edge from-layer="4966" from-port="0" to-layer="4967" to-port="1" />
+		<edge from-layer="4967" from-port="2" to-layer="4969" to-port="0" />
+		<edge from-layer="4968" from-port="0" to-layer="4969" to-port="1" />
+		<edge from-layer="4969" from-port="2" to-layer="4970" to-port="1" />
+		<edge from-layer="4970" from-port="2" to-layer="4972" to-port="0" />
+		<edge from-layer="4971" from-port="0" to-layer="4972" to-port="1" />
+		<edge from-layer="4972" from-port="2" to-layer="4974" to-port="0" />
+		<edge from-layer="4973" from-port="0" to-layer="4974" to-port="1" />
+		<edge from-layer="4974" from-port="2" to-layer="4976" to-port="0" />
+		<edge from-layer="4975" from-port="0" to-layer="4976" to-port="1" />
+		<edge from-layer="4976" from-port="2" to-layer="4978" to-port="0" />
+		<edge from-layer="4977" from-port="0" to-layer="4978" to-port="1" />
+		<edge from-layer="4978" from-port="2" to-layer="4980" to-port="0" />
+		<edge from-layer="4979" from-port="0" to-layer="4980" to-port="1" />
+		<edge from-layer="4980" from-port="2" to-layer="4981" to-port="0" />
+		<edge from-layer="4981" from-port="1" to-layer="4986" to-port="0" />
+		<edge from-layer="4982" from-port="0" to-layer="4986" to-port="1" />
+		<edge from-layer="4983" from-port="0" to-layer="4986" to-port="2" />
+		<edge from-layer="4984" from-port="0" to-layer="4986" to-port="3" />
+		<edge from-layer="4985" from-port="0" to-layer="4986" to-port="4" />
+		<edge from-layer="4986" from-port="5" to-layer="4991" to-port="0" />
+		<edge from-layer="4987" from-port="0" to-layer="4988" to-port="0" />
+		<edge from-layer="4988" from-port="1" to-layer="4990" to-port="0" />
+		<edge from-layer="4989" from-port="0" to-layer="4990" to-port="1" />
+		<edge from-layer="4990" from-port="2" to-layer="4991" to-port="1" />
+		<edge from-layer="4991" from-port="2" to-layer="4993" to-port="0" />
+		<edge from-layer="4992" from-port="0" to-layer="4993" to-port="1" />
+		<edge from-layer="4993" from-port="2" to-layer="4994" to-port="1" />
+		<edge from-layer="4994" from-port="2" to-layer="5253" to-port="1" />
+		<edge from-layer="4994" from-port="2" to-layer="4996" to-port="0" />
+		<edge from-layer="4995" from-port="0" to-layer="4996" to-port="1" />
+		<edge from-layer="4996" from-port="2" to-layer="4998" to-port="0" />
+		<edge from-layer="4997" from-port="0" to-layer="4998" to-port="1" />
+		<edge from-layer="4998" from-port="2" to-layer="5000" to-port="0" />
+		<edge from-layer="4999" from-port="0" to-layer="5000" to-port="1" />
+		<edge from-layer="5000" from-port="2" to-layer="5002" to-port="0" />
+		<edge from-layer="5001" from-port="0" to-layer="5002" to-port="1" />
+		<edge from-layer="5002" from-port="2" to-layer="5004" to-port="0" />
+		<edge from-layer="5003" from-port="0" to-layer="5004" to-port="1" />
+		<edge from-layer="5004" from-port="2" to-layer="5009" to-port="0" />
+		<edge from-layer="5005" from-port="0" to-layer="5009" to-port="1" />
+		<edge from-layer="5006" from-port="0" to-layer="5009" to-port="2" />
+		<edge from-layer="5007" from-port="0" to-layer="5009" to-port="3" />
+		<edge from-layer="5008" from-port="0" to-layer="5009" to-port="4" />
+		<edge from-layer="5009" from-port="5" to-layer="5014" to-port="0" />
+		<edge from-layer="5010" from-port="0" to-layer="5011" to-port="0" />
+		<edge from-layer="5011" from-port="1" to-layer="5013" to-port="0" />
+		<edge from-layer="5012" from-port="0" to-layer="5013" to-port="1" />
+		<edge from-layer="5013" from-port="2" to-layer="5014" to-port="1" />
+		<edge from-layer="5014" from-port="2" to-layer="5016" to-port="0" />
+		<edge from-layer="5015" from-port="0" to-layer="5016" to-port="1" />
+		<edge from-layer="5016" from-port="2" to-layer="5018" to-port="0" />
+		<edge from-layer="5017" from-port="0" to-layer="5018" to-port="1" />
+		<edge from-layer="5018" from-port="2" to-layer="5020" to-port="0" />
+		<edge from-layer="5019" from-port="0" to-layer="5020" to-port="1" />
+		<edge from-layer="5020" from-port="2" to-layer="5106" to-port="1" />
+		<edge from-layer="5020" from-port="2" to-layer="5022" to-port="0" />
+		<edge from-layer="5021" from-port="0" to-layer="5022" to-port="1" />
+		<edge from-layer="5022" from-port="2" to-layer="5024" to-port="0" />
+		<edge from-layer="5023" from-port="0" to-layer="5024" to-port="1" />
+		<edge from-layer="5024" from-port="2" to-layer="5026" to-port="0" />
+		<edge from-layer="5025" from-port="0" to-layer="5026" to-port="1" />
+		<edge from-layer="5026" from-port="2" to-layer="5065" to-port="0" />
+		<edge from-layer="5026" from-port="2" to-layer="5086" to-port="0" />
+		<edge from-layer="5026" from-port="2" to-layer="5035" to-port="0" />
+		<edge from-layer="5027" from-port="0" to-layer="5028" to-port="0" />
+		<edge from-layer="5028" from-port="1" to-layer="5031" to-port="0" />
+		<edge from-layer="5029" from-port="0" to-layer="5030" to-port="0" />
+		<edge from-layer="5030" from-port="1" to-layer="5031" to-port="1" />
+		<edge from-layer="5031" from-port="2" to-layer="5033" to-port="0" />
+		<edge from-layer="5032" from-port="0" to-layer="5033" to-port="1" />
+		<edge from-layer="5033" from-port="2" to-layer="5034" to-port="0" />
+		<edge from-layer="5034" from-port="1" to-layer="5035" to-port="1" />
+		<edge from-layer="5035" from-port="2" to-layer="5037" to-port="0" />
+		<edge from-layer="5036" from-port="0" to-layer="5037" to-port="1" />
+		<edge from-layer="5037" from-port="2" to-layer="5039" to-port="0" />
+		<edge from-layer="5038" from-port="0" to-layer="5039" to-port="1" />
+		<edge from-layer="5039" from-port="2" to-layer="5051" to-port="0" />
+		<edge from-layer="5039" from-port="2" to-layer="5041" to-port="0" />
+		<edge from-layer="5040" from-port="0" to-layer="5049" to-port="0" />
+		<edge from-layer="5041" from-port="1" to-layer="5046" to-port="0" />
+		<edge from-layer="5042" from-port="0" to-layer="5046" to-port="1" />
+		<edge from-layer="5043" from-port="0" to-layer="5046" to-port="2" />
+		<edge from-layer="5044" from-port="0" to-layer="5046" to-port="3" />
+		<edge from-layer="5045" from-port="0" to-layer="5046" to-port="4" />
+		<edge from-layer="5046" from-port="5" to-layer="5047" to-port="0" />
+		<edge from-layer="5047" from-port="1" to-layer="5048" to-port="0" />
+		<edge from-layer="5048" from-port="1" to-layer="5049" to-port="1" />
+		<edge from-layer="5049" from-port="2" to-layer="5050" to-port="0" />
+		<edge from-layer="5050" from-port="1" to-layer="5070" to-port="1" />
+		<edge from-layer="5050" from-port="1" to-layer="5051" to-port="1" />
+		<edge from-layer="5051" from-port="2" to-layer="5056" to-port="0" />
+		<edge from-layer="5052" from-port="0" to-layer="5056" to-port="1" />
+		<edge from-layer="5053" from-port="0" to-layer="5056" to-port="2" />
+		<edge from-layer="5054" from-port="0" to-layer="5056" to-port="3" />
+		<edge from-layer="5055" from-port="0" to-layer="5056" to-port="4" />
+		<edge from-layer="5056" from-port="5" to-layer="5076" to-port="0" />
+		<edge from-layer="5057" from-port="0" to-layer="5058" to-port="0" />
+		<edge from-layer="5058" from-port="1" to-layer="5061" to-port="0" />
+		<edge from-layer="5059" from-port="0" to-layer="5060" to-port="0" />
+		<edge from-layer="5060" from-port="1" to-layer="5061" to-port="1" />
+		<edge from-layer="5061" from-port="2" to-layer="5063" to-port="0" />
+		<edge from-layer="5062" from-port="0" to-layer="5063" to-port="1" />
+		<edge from-layer="5063" from-port="2" to-layer="5064" to-port="0" />
+		<edge from-layer="5064" from-port="1" to-layer="5065" to-port="1" />
+		<edge from-layer="5065" from-port="2" to-layer="5067" to-port="0" />
+		<edge from-layer="5066" from-port="0" to-layer="5067" to-port="1" />
+		<edge from-layer="5067" from-port="2" to-layer="5069" to-port="0" />
+		<edge from-layer="5068" from-port="0" to-layer="5069" to-port="1" />
+		<edge from-layer="5069" from-port="2" to-layer="5070" to-port="0" />
+		<edge from-layer="5070" from-port="2" to-layer="5075" to-port="0" />
+		<edge from-layer="5071" from-port="0" to-layer="5075" to-port="1" />
+		<edge from-layer="5072" from-port="0" to-layer="5075" to-port="2" />
+		<edge from-layer="5073" from-port="0" to-layer="5075" to-port="3" />
+		<edge from-layer="5074" from-port="0" to-layer="5075" to-port="4" />
+		<edge from-layer="5075" from-port="5" to-layer="5076" to-port="1" />
+		<edge from-layer="5076" from-port="2" to-layer="5077" to-port="0" />
+		<edge from-layer="5077" from-port="1" to-layer="5091" to-port="0" />
+		<edge from-layer="5078" from-port="0" to-layer="5079" to-port="0" />
+		<edge from-layer="5079" from-port="1" to-layer="5082" to-port="0" />
+		<edge from-layer="5080" from-port="0" to-layer="5081" to-port="0" />
+		<edge from-layer="5081" from-port="1" to-layer="5082" to-port="1" />
+		<edge from-layer="5082" from-port="2" to-layer="5084" to-port="0" />
+		<edge from-layer="5083" from-port="0" to-layer="5084" to-port="1" />
+		<edge from-layer="5084" from-port="2" to-layer="5085" to-port="0" />
+		<edge from-layer="5085" from-port="1" to-layer="5086" to-port="1" />
+		<edge from-layer="5086" from-port="2" to-layer="5088" to-port="0" />
+		<edge from-layer="5087" from-port="0" to-layer="5088" to-port="1" />
+		<edge from-layer="5088" from-port="2" to-layer="5090" to-port="0" />
+		<edge from-layer="5089" from-port="0" to-layer="5090" to-port="1" />
+		<edge from-layer="5090" from-port="2" to-layer="5091" to-port="1" />
+		<edge from-layer="5091" from-port="2" to-layer="5093" to-port="0" />
+		<edge from-layer="5092" from-port="0" to-layer="5093" to-port="1" />
+		<edge from-layer="5093" from-port="2" to-layer="5095" to-port="0" />
+		<edge from-layer="5094" from-port="0" to-layer="5095" to-port="1" />
+		<edge from-layer="5095" from-port="2" to-layer="5104" to-port="0" />
+		<edge from-layer="5096" from-port="0" to-layer="5097" to-port="0" />
+		<edge from-layer="5097" from-port="1" to-layer="5100" to-port="0" />
+		<edge from-layer="5098" from-port="0" to-layer="5099" to-port="0" />
+		<edge from-layer="5099" from-port="1" to-layer="5100" to-port="1" />
+		<edge from-layer="5100" from-port="2" to-layer="5102" to-port="0" />
+		<edge from-layer="5101" from-port="0" to-layer="5102" to-port="1" />
+		<edge from-layer="5102" from-port="2" to-layer="5103" to-port="0" />
+		<edge from-layer="5103" from-port="1" to-layer="5104" to-port="1" />
+		<edge from-layer="5104" from-port="2" to-layer="5105" to-port="1" />
+		<edge from-layer="5105" from-port="2" to-layer="5106" to-port="0" />
+		<edge from-layer="5106" from-port="2" to-layer="5192" to-port="1" />
+		<edge from-layer="5106" from-port="2" to-layer="5108" to-port="0" />
+		<edge from-layer="5107" from-port="0" to-layer="5108" to-port="1" />
+		<edge from-layer="5108" from-port="2" to-layer="5110" to-port="0" />
+		<edge from-layer="5109" from-port="0" to-layer="5110" to-port="1" />
+		<edge from-layer="5110" from-port="2" to-layer="5112" to-port="0" />
+		<edge from-layer="5111" from-port="0" to-layer="5112" to-port="1" />
+		<edge from-layer="5112" from-port="2" to-layer="5121" to-port="0" />
+		<edge from-layer="5113" from-port="0" to-layer="5114" to-port="0" />
+		<edge from-layer="5114" from-port="1" to-layer="5117" to-port="0" />
+		<edge from-layer="5115" from-port="0" to-layer="5116" to-port="0" />
+		<edge from-layer="5116" from-port="1" to-layer="5117" to-port="1" />
+		<edge from-layer="5117" from-port="2" to-layer="5119" to-port="0" />
+		<edge from-layer="5118" from-port="0" to-layer="5119" to-port="1" />
+		<edge from-layer="5119" from-port="2" to-layer="5120" to-port="0" />
+		<edge from-layer="5120" from-port="1" to-layer="5121" to-port="1" />
+		<edge from-layer="5121" from-port="2" to-layer="5123" to-port="0" />
+		<edge from-layer="5122" from-port="0" to-layer="5123" to-port="1" />
+		<edge from-layer="5123" from-port="2" to-layer="5125" to-port="0" />
+		<edge from-layer="5124" from-port="0" to-layer="5125" to-port="1" />
+		<edge from-layer="5125" from-port="2" to-layer="5127" to-port="0" />
+		<edge from-layer="5125" from-port="2" to-layer="5137" to-port="0" />
+		<edge from-layer="5126" from-port="0" to-layer="5135" to-port="0" />
+		<edge from-layer="5127" from-port="1" to-layer="5132" to-port="0" />
+		<edge from-layer="5128" from-port="0" to-layer="5132" to-port="1" />
+		<edge from-layer="5129" from-port="0" to-layer="5132" to-port="2" />
+		<edge from-layer="5130" from-port="0" to-layer="5132" to-port="3" />
+		<edge from-layer="5131" from-port="0" to-layer="5132" to-port="4" />
+		<edge from-layer="5132" from-port="5" to-layer="5133" to-port="0" />
+		<edge from-layer="5133" from-port="1" to-layer="5134" to-port="0" />
+		<edge from-layer="5134" from-port="1" to-layer="5135" to-port="1" />
+		<edge from-layer="5135" from-port="2" to-layer="5136" to-port="0" />
+		<edge from-layer="5136" from-port="1" to-layer="5156" to-port="1" />
+		<edge from-layer="5136" from-port="1" to-layer="5137" to-port="1" />
+		<edge from-layer="5137" from-port="2" to-layer="5142" to-port="0" />
+		<edge from-layer="5138" from-port="0" to-layer="5142" to-port="1" />
+		<edge from-layer="5139" from-port="0" to-layer="5142" to-port="2" />
+		<edge from-layer="5140" from-port="0" to-layer="5142" to-port="3" />
+		<edge from-layer="5141" from-port="0" to-layer="5142" to-port="4" />
+		<edge from-layer="5142" from-port="5" to-layer="5162" to-port="0" />
+		<edge from-layer="5143" from-port="0" to-layer="5144" to-port="0" />
+		<edge from-layer="5144" from-port="1" to-layer="5147" to-port="0" />
+		<edge from-layer="5145" from-port="0" to-layer="5146" to-port="0" />
+		<edge from-layer="5146" from-port="1" to-layer="5147" to-port="1" />
+		<edge from-layer="5147" from-port="2" to-layer="5149" to-port="0" />
+		<edge from-layer="5148" from-port="0" to-layer="5149" to-port="1" />
+		<edge from-layer="5149" from-port="2" to-layer="5150" to-port="0" />
+		<edge from-layer="5150" from-port="1" to-layer="5151" to-port="1" />
+		<edge from-layer="5151" from-port="2" to-layer="5153" to-port="0" />
+		<edge from-layer="5152" from-port="0" to-layer="5153" to-port="1" />
+		<edge from-layer="5153" from-port="2" to-layer="5155" to-port="0" />
+		<edge from-layer="5154" from-port="0" to-layer="5155" to-port="1" />
+		<edge from-layer="5155" from-port="2" to-layer="5156" to-port="0" />
+		<edge from-layer="5156" from-port="2" to-layer="5161" to-port="0" />
+		<edge from-layer="5157" from-port="0" to-layer="5161" to-port="1" />
+		<edge from-layer="5158" from-port="0" to-layer="5161" to-port="2" />
+		<edge from-layer="5159" from-port="0" to-layer="5161" to-port="3" />
+		<edge from-layer="5160" from-port="0" to-layer="5161" to-port="4" />
+		<edge from-layer="5161" from-port="5" to-layer="5162" to-port="1" />
+		<edge from-layer="5162" from-port="2" to-layer="5163" to-port="0" />
+		<edge from-layer="5163" from-port="1" to-layer="5177" to-port="0" />
+		<edge from-layer="5164" from-port="0" to-layer="5165" to-port="0" />
+		<edge from-layer="5165" from-port="1" to-layer="5168" to-port="0" />
+		<edge from-layer="5166" from-port="0" to-layer="5167" to-port="0" />
+		<edge from-layer="5167" from-port="1" to-layer="5168" to-port="1" />
+		<edge from-layer="5168" from-port="2" to-layer="5170" to-port="0" />
+		<edge from-layer="5169" from-port="0" to-layer="5170" to-port="1" />
+		<edge from-layer="5170" from-port="2" to-layer="5171" to-port="0" />
+		<edge from-layer="5171" from-port="1" to-layer="5172" to-port="1" />
+		<edge from-layer="5172" from-port="2" to-layer="5174" to-port="0" />
+		<edge from-layer="5173" from-port="0" to-layer="5174" to-port="1" />
+		<edge from-layer="5174" from-port="2" to-layer="5176" to-port="0" />
+		<edge from-layer="5175" from-port="0" to-layer="5176" to-port="1" />
+		<edge from-layer="5176" from-port="2" to-layer="5177" to-port="1" />
+		<edge from-layer="5177" from-port="2" to-layer="5179" to-port="0" />
+		<edge from-layer="5178" from-port="0" to-layer="5179" to-port="1" />
+		<edge from-layer="5179" from-port="2" to-layer="5181" to-port="0" />
+		<edge from-layer="5180" from-port="0" to-layer="5181" to-port="1" />
+		<edge from-layer="5181" from-port="2" to-layer="5190" to-port="0" />
+		<edge from-layer="5182" from-port="0" to-layer="5183" to-port="0" />
+		<edge from-layer="5183" from-port="1" to-layer="5186" to-port="0" />
+		<edge from-layer="5184" from-port="0" to-layer="5185" to-port="0" />
+		<edge from-layer="5185" from-port="1" to-layer="5186" to-port="1" />
+		<edge from-layer="5186" from-port="2" to-layer="5188" to-port="0" />
+		<edge from-layer="5187" from-port="0" to-layer="5188" to-port="1" />
+		<edge from-layer="5188" from-port="2" to-layer="5189" to-port="0" />
+		<edge from-layer="5189" from-port="1" to-layer="5190" to-port="1" />
+		<edge from-layer="5190" from-port="2" to-layer="5191" to-port="1" />
+		<edge from-layer="5191" from-port="2" to-layer="5192" to-port="0" />
+		<edge from-layer="5192" from-port="2" to-layer="5236" to-port="1" />
+		<edge from-layer="5192" from-port="2" to-layer="5194" to-port="0" />
+		<edge from-layer="5193" from-port="0" to-layer="5194" to-port="1" />
+		<edge from-layer="5194" from-port="2" to-layer="5196" to-port="0" />
+		<edge from-layer="5195" from-port="0" to-layer="5196" to-port="1" />
+		<edge from-layer="5196" from-port="2" to-layer="5198" to-port="0" />
+		<edge from-layer="5197" from-port="0" to-layer="5198" to-port="1" />
+		<edge from-layer="5198" from-port="2" to-layer="5207" to-port="0" />
+		<edge from-layer="5199" from-port="0" to-layer="5200" to-port="0" />
+		<edge from-layer="5200" from-port="1" to-layer="5203" to-port="0" />
+		<edge from-layer="5201" from-port="0" to-layer="5202" to-port="0" />
+		<edge from-layer="5202" from-port="1" to-layer="5203" to-port="1" />
+		<edge from-layer="5203" from-port="2" to-layer="5205" to-port="0" />
+		<edge from-layer="5204" from-port="0" to-layer="5205" to-port="1" />
+		<edge from-layer="5205" from-port="2" to-layer="5206" to-port="0" />
+		<edge from-layer="5206" from-port="1" to-layer="5207" to-port="1" />
+		<edge from-layer="5207" from-port="2" to-layer="5208" to-port="1" />
+		<edge from-layer="5208" from-port="2" to-layer="5210" to-port="0" />
+		<edge from-layer="5208" from-port="2" to-layer="5223" to-port="0" />
+		<edge from-layer="5208" from-port="2" to-layer="5219" to-port="0" />
+		<edge from-layer="5209" from-port="0" to-layer="5219" to-port="1" />
+		<edge from-layer="5210" from-port="1" to-layer="5213" to-port="0" />
+		<edge from-layer="5211" from-port="0" to-layer="5223" to-port="4" />
+		<edge from-layer="5211" from-port="0" to-layer="5213" to-port="1" />
+		<edge from-layer="5211" from-port="0" to-layer="5219" to-port="4" />
+		<edge from-layer="5212" from-port="0" to-layer="5213" to-port="2" />
+		<edge from-layer="5213" from-port="3" to-layer="5215" to-port="0" />
+		<edge from-layer="5214" from-port="0" to-layer="5215" to-port="1" />
+		<edge from-layer="5215" from-port="2" to-layer="5217" to-port="0" />
+		<edge from-layer="5216" from-port="0" to-layer="5217" to-port="1" />
+		<edge from-layer="5217" from-port="2" to-layer="5221" to-port="0" />
+		<edge from-layer="5217" from-port="2" to-layer="5219" to-port="2" />
+		<edge from-layer="5217" from-port="2" to-layer="5223" to-port="1" />
+		<edge from-layer="5218" from-port="0" to-layer="5219" to-port="3" />
+		<edge from-layer="5219" from-port="5" to-layer="5225" to-port="0" />
+		<edge from-layer="5220" from-port="0" to-layer="5221" to-port="1" />
+		<edge from-layer="5221" from-port="2" to-layer="5223" to-port="2" />
+		<edge from-layer="5222" from-port="0" to-layer="5223" to-port="3" />
+		<edge from-layer="5223" from-port="5" to-layer="5224" to-port="0" />
+		<edge from-layer="5224" from-port="1" to-layer="5225" to-port="1" />
+		<edge from-layer="5225" from-port="2" to-layer="5234" to-port="0" />
+		<edge from-layer="5226" from-port="0" to-layer="5227" to-port="0" />
+		<edge from-layer="5227" from-port="1" to-layer="5230" to-port="0" />
+		<edge from-layer="5228" from-port="0" to-layer="5229" to-port="0" />
+		<edge from-layer="5229" from-port="1" to-layer="5230" to-port="1" />
+		<edge from-layer="5230" from-port="2" to-layer="5232" to-port="0" />
+		<edge from-layer="5231" from-port="0" to-layer="5232" to-port="1" />
+		<edge from-layer="5232" from-port="2" to-layer="5233" to-port="0" />
+		<edge from-layer="5233" from-port="1" to-layer="5234" to-port="1" />
+		<edge from-layer="5234" from-port="2" to-layer="5235" to-port="1" />
+		<edge from-layer="5235" from-port="2" to-layer="5236" to-port="0" />
+		<edge from-layer="5236" from-port="2" to-layer="5241" to-port="0" />
+		<edge from-layer="5237" from-port="0" to-layer="5241" to-port="1" />
+		<edge from-layer="5238" from-port="0" to-layer="5241" to-port="2" />
+		<edge from-layer="5239" from-port="0" to-layer="5241" to-port="3" />
+		<edge from-layer="5240" from-port="0" to-layer="5241" to-port="4" />
+		<edge from-layer="5241" from-port="5" to-layer="5243" to-port="0" />
+		<edge from-layer="5242" from-port="0" to-layer="5243" to-port="1" />
+		<edge from-layer="5243" from-port="2" to-layer="5245" to-port="0" />
+		<edge from-layer="5244" from-port="0" to-layer="5245" to-port="1" />
+		<edge from-layer="5245" from-port="2" to-layer="5250" to-port="0" />
+		<edge from-layer="5246" from-port="0" to-layer="5247" to-port="0" />
+		<edge from-layer="5247" from-port="1" to-layer="5249" to-port="0" />
+		<edge from-layer="5248" from-port="0" to-layer="5249" to-port="1" />
+		<edge from-layer="5249" from-port="2" to-layer="5250" to-port="1" />
+		<edge from-layer="5250" from-port="2" to-layer="5252" to-port="0" />
+		<edge from-layer="5251" from-port="0" to-layer="5252" to-port="1" />
+		<edge from-layer="5252" from-port="2" to-layer="5253" to-port="0" />
+		<edge from-layer="5253" from-port="2" to-layer="5254" to-port="0" />
+		<edge from-layer="5254" from-port="2" to-layer="5268" to-port="0" />
+		<edge from-layer="5254" from-port="2" to-layer="5259" to-port="0" />
+		<edge from-layer="5255" from-port="0" to-layer="5259" to-port="1" />
+		<edge from-layer="5256" from-port="0" to-layer="5259" to-port="2" />
+		<edge from-layer="5257" from-port="0" to-layer="5259" to-port="3" />
+		<edge from-layer="5258" from-port="0" to-layer="5259" to-port="4" />
+		<edge from-layer="5259" from-port="5" to-layer="5264" to-port="0" />
+		<edge from-layer="5260" from-port="0" to-layer="5261" to-port="0" />
+		<edge from-layer="5261" from-port="1" to-layer="5263" to-port="0" />
+		<edge from-layer="5262" from-port="0" to-layer="5263" to-port="1" />
+		<edge from-layer="5263" from-port="2" to-layer="5264" to-port="1" />
+		<edge from-layer="5264" from-port="2" to-layer="5266" to-port="0" />
+		<edge from-layer="5265" from-port="0" to-layer="5266" to-port="1" />
+		<edge from-layer="5266" from-port="2" to-layer="5329" to-port="0" />
+		<edge from-layer="5267" from-port="0" to-layer="5268" to-port="1" />
+		<edge from-layer="5268" from-port="2" to-layer="5270" to-port="0" />
+		<edge from-layer="5269" from-port="0" to-layer="5270" to-port="1" />
+		<edge from-layer="5270" from-port="2" to-layer="5272" to-port="0" />
+		<edge from-layer="5271" from-port="0" to-layer="5272" to-port="1" />
+		<edge from-layer="5272" from-port="2" to-layer="5274" to-port="0" />
+		<edge from-layer="5273" from-port="0" to-layer="5274" to-port="1" />
+		<edge from-layer="5274" from-port="2" to-layer="5276" to-port="0" />
+		<edge from-layer="5275" from-port="0" to-layer="5276" to-port="1" />
+		<edge from-layer="5276" from-port="2" to-layer="5277" to-port="0" />
+		<edge from-layer="5277" from-port="1" to-layer="5282" to-port="0" />
+		<edge from-layer="5278" from-port="0" to-layer="5282" to-port="1" />
+		<edge from-layer="5279" from-port="0" to-layer="5282" to-port="2" />
+		<edge from-layer="5280" from-port="0" to-layer="5282" to-port="3" />
+		<edge from-layer="5281" from-port="0" to-layer="5282" to-port="4" />
+		<edge from-layer="5282" from-port="5" to-layer="5287" to-port="0" />
+		<edge from-layer="5283" from-port="0" to-layer="5284" to-port="0" />
+		<edge from-layer="5284" from-port="1" to-layer="5286" to-port="0" />
+		<edge from-layer="5285" from-port="0" to-layer="5286" to-port="1" />
+		<edge from-layer="5286" from-port="2" to-layer="5287" to-port="1" />
+		<edge from-layer="5287" from-port="2" to-layer="5289" to-port="0" />
+		<edge from-layer="5288" from-port="0" to-layer="5289" to-port="1" />
+		<edge from-layer="5289" from-port="2" to-layer="5305" to-port="0" />
+		<edge from-layer="5290" from-port="0" to-layer="5291" to-port="0" />
+		<edge from-layer="5291" from-port="1" to-layer="5294" to-port="0" />
+		<edge from-layer="5292" from-port="0" to-layer="5293" to-port="0" />
+		<edge from-layer="5293" from-port="1" to-layer="5294" to-port="1" />
+		<edge from-layer="5294" from-port="2" to-layer="5296" to-port="0" />
+		<edge from-layer="5295" from-port="0" to-layer="5296" to-port="1" />
+		<edge from-layer="5296" from-port="2" to-layer="5297" to-port="0" />
+		<edge from-layer="5297" from-port="1" to-layer="5298" to-port="1" />
+		<edge from-layer="5298" from-port="2" to-layer="5300" to-port="0" />
+		<edge from-layer="5299" from-port="0" to-layer="5300" to-port="1" />
+		<edge from-layer="5300" from-port="2" to-layer="5302" to-port="0" />
+		<edge from-layer="5301" from-port="0" to-layer="5302" to-port="1" />
+		<edge from-layer="5302" from-port="2" to-layer="5304" to-port="0" />
+		<edge from-layer="5303" from-port="0" to-layer="5304" to-port="1" />
+		<edge from-layer="5304" from-port="2" to-layer="5305" to-port="1" />
+		<edge from-layer="5305" from-port="2" to-layer="5307" to-port="0" />
+		<edge from-layer="5306" from-port="0" to-layer="5307" to-port="1" />
+		<edge from-layer="5307" from-port="2" to-layer="5309" to-port="0" />
+		<edge from-layer="5308" from-port="0" to-layer="5309" to-port="1" />
+		<edge from-layer="5309" from-port="2" to-layer="5311" to-port="0" />
+		<edge from-layer="5310" from-port="0" to-layer="5311" to-port="1" />
+		<edge from-layer="5311" from-port="2" to-layer="5313" to-port="0" />
+		<edge from-layer="5312" from-port="0" to-layer="5313" to-port="1" />
+		<edge from-layer="5313" from-port="2" to-layer="5315" to-port="0" />
+		<edge from-layer="5314" from-port="0" to-layer="5315" to-port="1" />
+		<edge from-layer="5315" from-port="2" to-layer="5316" to-port="0" />
+		<edge from-layer="5316" from-port="1" to-layer="5321" to-port="0" />
+		<edge from-layer="5317" from-port="0" to-layer="5321" to-port="1" />
+		<edge from-layer="5318" from-port="0" to-layer="5321" to-port="2" />
+		<edge from-layer="5319" from-port="0" to-layer="5321" to-port="3" />
+		<edge from-layer="5320" from-port="0" to-layer="5321" to-port="4" />
+		<edge from-layer="5321" from-port="5" to-layer="5326" to-port="0" />
+		<edge from-layer="5322" from-port="0" to-layer="5323" to-port="0" />
+		<edge from-layer="5323" from-port="1" to-layer="5325" to-port="0" />
+		<edge from-layer="5324" from-port="0" to-layer="5325" to-port="1" />
+		<edge from-layer="5325" from-port="2" to-layer="5326" to-port="1" />
+		<edge from-layer="5326" from-port="2" to-layer="5328" to-port="0" />
+		<edge from-layer="5327" from-port="0" to-layer="5328" to-port="1" />
+		<edge from-layer="5328" from-port="2" to-layer="5329" to-port="1" />
+		<edge from-layer="5329" from-port="2" to-layer="5588" to-port="1" />
+		<edge from-layer="5329" from-port="2" to-layer="5331" to-port="0" />
+		<edge from-layer="5330" from-port="0" to-layer="5331" to-port="1" />
+		<edge from-layer="5331" from-port="2" to-layer="5333" to-port="0" />
+		<edge from-layer="5332" from-port="0" to-layer="5333" to-port="1" />
+		<edge from-layer="5333" from-port="2" to-layer="5335" to-port="0" />
+		<edge from-layer="5334" from-port="0" to-layer="5335" to-port="1" />
+		<edge from-layer="5335" from-port="2" to-layer="5337" to-port="0" />
+		<edge from-layer="5336" from-port="0" to-layer="5337" to-port="1" />
+		<edge from-layer="5337" from-port="2" to-layer="5339" to-port="0" />
+		<edge from-layer="5338" from-port="0" to-layer="5339" to-port="1" />
+		<edge from-layer="5339" from-port="2" to-layer="5344" to-port="0" />
+		<edge from-layer="5340" from-port="0" to-layer="5344" to-port="1" />
+		<edge from-layer="5341" from-port="0" to-layer="5344" to-port="2" />
+		<edge from-layer="5342" from-port="0" to-layer="5344" to-port="3" />
+		<edge from-layer="5343" from-port="0" to-layer="5344" to-port="4" />
+		<edge from-layer="5344" from-port="5" to-layer="5349" to-port="0" />
+		<edge from-layer="5345" from-port="0" to-layer="5346" to-port="0" />
+		<edge from-layer="5346" from-port="1" to-layer="5348" to-port="0" />
+		<edge from-layer="5347" from-port="0" to-layer="5348" to-port="1" />
+		<edge from-layer="5348" from-port="2" to-layer="5349" to-port="1" />
+		<edge from-layer="5349" from-port="2" to-layer="5351" to-port="0" />
+		<edge from-layer="5350" from-port="0" to-layer="5351" to-port="1" />
+		<edge from-layer="5351" from-port="2" to-layer="5353" to-port="0" />
+		<edge from-layer="5352" from-port="0" to-layer="5353" to-port="1" />
+		<edge from-layer="5353" from-port="2" to-layer="5355" to-port="0" />
+		<edge from-layer="5354" from-port="0" to-layer="5355" to-port="1" />
+		<edge from-layer="5355" from-port="2" to-layer="5441" to-port="1" />
+		<edge from-layer="5355" from-port="2" to-layer="5357" to-port="0" />
+		<edge from-layer="5356" from-port="0" to-layer="5357" to-port="1" />
+		<edge from-layer="5357" from-port="2" to-layer="5359" to-port="0" />
+		<edge from-layer="5358" from-port="0" to-layer="5359" to-port="1" />
+		<edge from-layer="5359" from-port="2" to-layer="5361" to-port="0" />
+		<edge from-layer="5360" from-port="0" to-layer="5361" to-port="1" />
+		<edge from-layer="5361" from-port="2" to-layer="5400" to-port="0" />
+		<edge from-layer="5361" from-port="2" to-layer="5421" to-port="0" />
+		<edge from-layer="5361" from-port="2" to-layer="5370" to-port="0" />
+		<edge from-layer="5362" from-port="0" to-layer="5363" to-port="0" />
+		<edge from-layer="5363" from-port="1" to-layer="5366" to-port="0" />
+		<edge from-layer="5364" from-port="0" to-layer="5365" to-port="0" />
+		<edge from-layer="5365" from-port="1" to-layer="5366" to-port="1" />
+		<edge from-layer="5366" from-port="2" to-layer="5368" to-port="0" />
+		<edge from-layer="5367" from-port="0" to-layer="5368" to-port="1" />
+		<edge from-layer="5368" from-port="2" to-layer="5369" to-port="0" />
+		<edge from-layer="5369" from-port="1" to-layer="5370" to-port="1" />
+		<edge from-layer="5370" from-port="2" to-layer="5372" to-port="0" />
+		<edge from-layer="5371" from-port="0" to-layer="5372" to-port="1" />
+		<edge from-layer="5372" from-port="2" to-layer="5374" to-port="0" />
+		<edge from-layer="5373" from-port="0" to-layer="5374" to-port="1" />
+		<edge from-layer="5374" from-port="2" to-layer="5386" to-port="0" />
+		<edge from-layer="5374" from-port="2" to-layer="5376" to-port="0" />
+		<edge from-layer="5375" from-port="0" to-layer="5384" to-port="0" />
+		<edge from-layer="5376" from-port="1" to-layer="5381" to-port="0" />
+		<edge from-layer="5377" from-port="0" to-layer="5381" to-port="1" />
+		<edge from-layer="5378" from-port="0" to-layer="5381" to-port="2" />
+		<edge from-layer="5379" from-port="0" to-layer="5381" to-port="3" />
+		<edge from-layer="5380" from-port="0" to-layer="5381" to-port="4" />
+		<edge from-layer="5381" from-port="5" to-layer="5382" to-port="0" />
+		<edge from-layer="5382" from-port="1" to-layer="5383" to-port="0" />
+		<edge from-layer="5383" from-port="1" to-layer="5384" to-port="1" />
+		<edge from-layer="5384" from-port="2" to-layer="5385" to-port="0" />
+		<edge from-layer="5385" from-port="1" to-layer="5405" to-port="1" />
+		<edge from-layer="5385" from-port="1" to-layer="5386" to-port="1" />
+		<edge from-layer="5386" from-port="2" to-layer="5391" to-port="0" />
+		<edge from-layer="5387" from-port="0" to-layer="5391" to-port="1" />
+		<edge from-layer="5388" from-port="0" to-layer="5391" to-port="2" />
+		<edge from-layer="5389" from-port="0" to-layer="5391" to-port="3" />
+		<edge from-layer="5390" from-port="0" to-layer="5391" to-port="4" />
+		<edge from-layer="5391" from-port="5" to-layer="5411" to-port="0" />
+		<edge from-layer="5392" from-port="0" to-layer="5393" to-port="0" />
+		<edge from-layer="5393" from-port="1" to-layer="5396" to-port="0" />
+		<edge from-layer="5394" from-port="0" to-layer="5395" to-port="0" />
+		<edge from-layer="5395" from-port="1" to-layer="5396" to-port="1" />
+		<edge from-layer="5396" from-port="2" to-layer="5398" to-port="0" />
+		<edge from-layer="5397" from-port="0" to-layer="5398" to-port="1" />
+		<edge from-layer="5398" from-port="2" to-layer="5399" to-port="0" />
+		<edge from-layer="5399" from-port="1" to-layer="5400" to-port="1" />
+		<edge from-layer="5400" from-port="2" to-layer="5402" to-port="0" />
+		<edge from-layer="5401" from-port="0" to-layer="5402" to-port="1" />
+		<edge from-layer="5402" from-port="2" to-layer="5404" to-port="0" />
+		<edge from-layer="5403" from-port="0" to-layer="5404" to-port="1" />
+		<edge from-layer="5404" from-port="2" to-layer="5405" to-port="0" />
+		<edge from-layer="5405" from-port="2" to-layer="5410" to-port="0" />
+		<edge from-layer="5406" from-port="0" to-layer="5410" to-port="1" />
+		<edge from-layer="5407" from-port="0" to-layer="5410" to-port="2" />
+		<edge from-layer="5408" from-port="0" to-layer="5410" to-port="3" />
+		<edge from-layer="5409" from-port="0" to-layer="5410" to-port="4" />
+		<edge from-layer="5410" from-port="5" to-layer="5411" to-port="1" />
+		<edge from-layer="5411" from-port="2" to-layer="5412" to-port="0" />
+		<edge from-layer="5412" from-port="1" to-layer="5426" to-port="0" />
+		<edge from-layer="5413" from-port="0" to-layer="5414" to-port="0" />
+		<edge from-layer="5414" from-port="1" to-layer="5417" to-port="0" />
+		<edge from-layer="5415" from-port="0" to-layer="5416" to-port="0" />
+		<edge from-layer="5416" from-port="1" to-layer="5417" to-port="1" />
+		<edge from-layer="5417" from-port="2" to-layer="5419" to-port="0" />
+		<edge from-layer="5418" from-port="0" to-layer="5419" to-port="1" />
+		<edge from-layer="5419" from-port="2" to-layer="5420" to-port="0" />
+		<edge from-layer="5420" from-port="1" to-layer="5421" to-port="1" />
+		<edge from-layer="5421" from-port="2" to-layer="5423" to-port="0" />
+		<edge from-layer="5422" from-port="0" to-layer="5423" to-port="1" />
+		<edge from-layer="5423" from-port="2" to-layer="5425" to-port="0" />
+		<edge from-layer="5424" from-port="0" to-layer="5425" to-port="1" />
+		<edge from-layer="5425" from-port="2" to-layer="5426" to-port="1" />
+		<edge from-layer="5426" from-port="2" to-layer="5428" to-port="0" />
+		<edge from-layer="5427" from-port="0" to-layer="5428" to-port="1" />
+		<edge from-layer="5428" from-port="2" to-layer="5430" to-port="0" />
+		<edge from-layer="5429" from-port="0" to-layer="5430" to-port="1" />
+		<edge from-layer="5430" from-port="2" to-layer="5439" to-port="0" />
+		<edge from-layer="5431" from-port="0" to-layer="5432" to-port="0" />
+		<edge from-layer="5432" from-port="1" to-layer="5435" to-port="0" />
+		<edge from-layer="5433" from-port="0" to-layer="5434" to-port="0" />
+		<edge from-layer="5434" from-port="1" to-layer="5435" to-port="1" />
+		<edge from-layer="5435" from-port="2" to-layer="5437" to-port="0" />
+		<edge from-layer="5436" from-port="0" to-layer="5437" to-port="1" />
+		<edge from-layer="5437" from-port="2" to-layer="5438" to-port="0" />
+		<edge from-layer="5438" from-port="1" to-layer="5439" to-port="1" />
+		<edge from-layer="5439" from-port="2" to-layer="5440" to-port="1" />
+		<edge from-layer="5440" from-port="2" to-layer="5441" to-port="0" />
+		<edge from-layer="5441" from-port="2" to-layer="5527" to-port="1" />
+		<edge from-layer="5441" from-port="2" to-layer="5443" to-port="0" />
+		<edge from-layer="5442" from-port="0" to-layer="5443" to-port="1" />
+		<edge from-layer="5443" from-port="2" to-layer="5445" to-port="0" />
+		<edge from-layer="5444" from-port="0" to-layer="5445" to-port="1" />
+		<edge from-layer="5445" from-port="2" to-layer="5447" to-port="0" />
+		<edge from-layer="5446" from-port="0" to-layer="5447" to-port="1" />
+		<edge from-layer="5447" from-port="2" to-layer="5456" to-port="0" />
+		<edge from-layer="5448" from-port="0" to-layer="5449" to-port="0" />
+		<edge from-layer="5449" from-port="1" to-layer="5452" to-port="0" />
+		<edge from-layer="5450" from-port="0" to-layer="5451" to-port="0" />
+		<edge from-layer="5451" from-port="1" to-layer="5452" to-port="1" />
+		<edge from-layer="5452" from-port="2" to-layer="5454" to-port="0" />
+		<edge from-layer="5453" from-port="0" to-layer="5454" to-port="1" />
+		<edge from-layer="5454" from-port="2" to-layer="5455" to-port="0" />
+		<edge from-layer="5455" from-port="1" to-layer="5456" to-port="1" />
+		<edge from-layer="5456" from-port="2" to-layer="5458" to-port="0" />
+		<edge from-layer="5457" from-port="0" to-layer="5458" to-port="1" />
+		<edge from-layer="5458" from-port="2" to-layer="5460" to-port="0" />
+		<edge from-layer="5459" from-port="0" to-layer="5460" to-port="1" />
+		<edge from-layer="5460" from-port="2" to-layer="5472" to-port="0" />
+		<edge from-layer="5460" from-port="2" to-layer="5462" to-port="0" />
+		<edge from-layer="5461" from-port="0" to-layer="5470" to-port="0" />
+		<edge from-layer="5462" from-port="1" to-layer="5467" to-port="0" />
+		<edge from-layer="5463" from-port="0" to-layer="5467" to-port="1" />
+		<edge from-layer="5464" from-port="0" to-layer="5467" to-port="2" />
+		<edge from-layer="5465" from-port="0" to-layer="5467" to-port="3" />
+		<edge from-layer="5466" from-port="0" to-layer="5467" to-port="4" />
+		<edge from-layer="5467" from-port="5" to-layer="5468" to-port="0" />
+		<edge from-layer="5468" from-port="1" to-layer="5469" to-port="0" />
+		<edge from-layer="5469" from-port="1" to-layer="5470" to-port="1" />
+		<edge from-layer="5470" from-port="2" to-layer="5471" to-port="0" />
+		<edge from-layer="5471" from-port="1" to-layer="5472" to-port="1" />
+		<edge from-layer="5471" from-port="1" to-layer="5491" to-port="1" />
+		<edge from-layer="5472" from-port="2" to-layer="5477" to-port="0" />
+		<edge from-layer="5473" from-port="0" to-layer="5477" to-port="1" />
+		<edge from-layer="5474" from-port="0" to-layer="5477" to-port="2" />
+		<edge from-layer="5475" from-port="0" to-layer="5477" to-port="3" />
+		<edge from-layer="5476" from-port="0" to-layer="5477" to-port="4" />
+		<edge from-layer="5477" from-port="5" to-layer="5497" to-port="0" />
+		<edge from-layer="5478" from-port="0" to-layer="5479" to-port="0" />
+		<edge from-layer="5479" from-port="1" to-layer="5482" to-port="0" />
+		<edge from-layer="5480" from-port="0" to-layer="5481" to-port="0" />
+		<edge from-layer="5481" from-port="1" to-layer="5482" to-port="1" />
+		<edge from-layer="5482" from-port="2" to-layer="5484" to-port="0" />
+		<edge from-layer="5483" from-port="0" to-layer="5484" to-port="1" />
+		<edge from-layer="5484" from-port="2" to-layer="5485" to-port="0" />
+		<edge from-layer="5485" from-port="1" to-layer="5486" to-port="1" />
+		<edge from-layer="5486" from-port="2" to-layer="5488" to-port="0" />
+		<edge from-layer="5487" from-port="0" to-layer="5488" to-port="1" />
+		<edge from-layer="5488" from-port="2" to-layer="5490" to-port="0" />
+		<edge from-layer="5489" from-port="0" to-layer="5490" to-port="1" />
+		<edge from-layer="5490" from-port="2" to-layer="5491" to-port="0" />
+		<edge from-layer="5491" from-port="2" to-layer="5496" to-port="0" />
+		<edge from-layer="5492" from-port="0" to-layer="5496" to-port="1" />
+		<edge from-layer="5493" from-port="0" to-layer="5496" to-port="2" />
+		<edge from-layer="5494" from-port="0" to-layer="5496" to-port="3" />
+		<edge from-layer="5495" from-port="0" to-layer="5496" to-port="4" />
+		<edge from-layer="5496" from-port="5" to-layer="5497" to-port="1" />
+		<edge from-layer="5497" from-port="2" to-layer="5498" to-port="0" />
+		<edge from-layer="5498" from-port="1" to-layer="5512" to-port="0" />
+		<edge from-layer="5499" from-port="0" to-layer="5500" to-port="0" />
+		<edge from-layer="5500" from-port="1" to-layer="5503" to-port="0" />
+		<edge from-layer="5501" from-port="0" to-layer="5502" to-port="0" />
+		<edge from-layer="5502" from-port="1" to-layer="5503" to-port="1" />
+		<edge from-layer="5503" from-port="2" to-layer="5505" to-port="0" />
+		<edge from-layer="5504" from-port="0" to-layer="5505" to-port="1" />
+		<edge from-layer="5505" from-port="2" to-layer="5506" to-port="0" />
+		<edge from-layer="5506" from-port="1" to-layer="5507" to-port="1" />
+		<edge from-layer="5507" from-port="2" to-layer="5509" to-port="0" />
+		<edge from-layer="5508" from-port="0" to-layer="5509" to-port="1" />
+		<edge from-layer="5509" from-port="2" to-layer="5511" to-port="0" />
+		<edge from-layer="5510" from-port="0" to-layer="5511" to-port="1" />
+		<edge from-layer="5511" from-port="2" to-layer="5512" to-port="1" />
+		<edge from-layer="5512" from-port="2" to-layer="5514" to-port="0" />
+		<edge from-layer="5513" from-port="0" to-layer="5514" to-port="1" />
+		<edge from-layer="5514" from-port="2" to-layer="5516" to-port="0" />
+		<edge from-layer="5515" from-port="0" to-layer="5516" to-port="1" />
+		<edge from-layer="5516" from-port="2" to-layer="5525" to-port="0" />
+		<edge from-layer="5517" from-port="0" to-layer="5518" to-port="0" />
+		<edge from-layer="5518" from-port="1" to-layer="5521" to-port="0" />
+		<edge from-layer="5519" from-port="0" to-layer="5520" to-port="0" />
+		<edge from-layer="5520" from-port="1" to-layer="5521" to-port="1" />
+		<edge from-layer="5521" from-port="2" to-layer="5523" to-port="0" />
+		<edge from-layer="5522" from-port="0" to-layer="5523" to-port="1" />
+		<edge from-layer="5523" from-port="2" to-layer="5524" to-port="0" />
+		<edge from-layer="5524" from-port="1" to-layer="5525" to-port="1" />
+		<edge from-layer="5525" from-port="2" to-layer="5526" to-port="1" />
+		<edge from-layer="5526" from-port="2" to-layer="5527" to-port="0" />
+		<edge from-layer="5527" from-port="2" to-layer="5571" to-port="1" />
+		<edge from-layer="5527" from-port="2" to-layer="5529" to-port="0" />
+		<edge from-layer="5528" from-port="0" to-layer="5529" to-port="1" />
+		<edge from-layer="5529" from-port="2" to-layer="5531" to-port="0" />
+		<edge from-layer="5530" from-port="0" to-layer="5531" to-port="1" />
+		<edge from-layer="5531" from-port="2" to-layer="5533" to-port="0" />
+		<edge from-layer="5532" from-port="0" to-layer="5533" to-port="1" />
+		<edge from-layer="5533" from-port="2" to-layer="5542" to-port="0" />
+		<edge from-layer="5534" from-port="0" to-layer="5535" to-port="0" />
+		<edge from-layer="5535" from-port="1" to-layer="5538" to-port="0" />
+		<edge from-layer="5536" from-port="0" to-layer="5537" to-port="0" />
+		<edge from-layer="5537" from-port="1" to-layer="5538" to-port="1" />
+		<edge from-layer="5538" from-port="2" to-layer="5540" to-port="0" />
+		<edge from-layer="5539" from-port="0" to-layer="5540" to-port="1" />
+		<edge from-layer="5540" from-port="2" to-layer="5541" to-port="0" />
+		<edge from-layer="5541" from-port="1" to-layer="5542" to-port="1" />
+		<edge from-layer="5542" from-port="2" to-layer="5543" to-port="1" />
+		<edge from-layer="5543" from-port="2" to-layer="5554" to-port="0" />
+		<edge from-layer="5543" from-port="2" to-layer="5558" to-port="0" />
+		<edge from-layer="5543" from-port="2" to-layer="5545" to-port="0" />
+		<edge from-layer="5544" from-port="0" to-layer="5554" to-port="1" />
+		<edge from-layer="5545" from-port="1" to-layer="5548" to-port="0" />
+		<edge from-layer="5546" from-port="0" to-layer="5554" to-port="4" />
+		<edge from-layer="5546" from-port="0" to-layer="5558" to-port="4" />
+		<edge from-layer="5546" from-port="0" to-layer="5548" to-port="1" />
+		<edge from-layer="5547" from-port="0" to-layer="5548" to-port="2" />
+		<edge from-layer="5548" from-port="3" to-layer="5550" to-port="0" />
+		<edge from-layer="5549" from-port="0" to-layer="5550" to-port="1" />
+		<edge from-layer="5550" from-port="2" to-layer="5552" to-port="0" />
+		<edge from-layer="5551" from-port="0" to-layer="5552" to-port="1" />
+		<edge from-layer="5552" from-port="2" to-layer="5554" to-port="2" />
+		<edge from-layer="5552" from-port="2" to-layer="5556" to-port="0" />
+		<edge from-layer="5552" from-port="2" to-layer="5558" to-port="1" />
+		<edge from-layer="5553" from-port="0" to-layer="5554" to-port="3" />
+		<edge from-layer="5554" from-port="5" to-layer="5560" to-port="0" />
+		<edge from-layer="5555" from-port="0" to-layer="5556" to-port="1" />
+		<edge from-layer="5556" from-port="2" to-layer="5558" to-port="2" />
+		<edge from-layer="5557" from-port="0" to-layer="5558" to-port="3" />
+		<edge from-layer="5558" from-port="5" to-layer="5559" to-port="0" />
+		<edge from-layer="5559" from-port="1" to-layer="5560" to-port="1" />
+		<edge from-layer="5560" from-port="2" to-layer="5569" to-port="0" />
+		<edge from-layer="5561" from-port="0" to-layer="5562" to-port="0" />
+		<edge from-layer="5562" from-port="1" to-layer="5565" to-port="0" />
+		<edge from-layer="5563" from-port="0" to-layer="5564" to-port="0" />
+		<edge from-layer="5564" from-port="1" to-layer="5565" to-port="1" />
+		<edge from-layer="5565" from-port="2" to-layer="5567" to-port="0" />
+		<edge from-layer="5566" from-port="0" to-layer="5567" to-port="1" />
+		<edge from-layer="5567" from-port="2" to-layer="5568" to-port="0" />
+		<edge from-layer="5568" from-port="1" to-layer="5569" to-port="1" />
+		<edge from-layer="5569" from-port="2" to-layer="5570" to-port="1" />
+		<edge from-layer="5570" from-port="2" to-layer="5571" to-port="0" />
+		<edge from-layer="5571" from-port="2" to-layer="5576" to-port="0" />
+		<edge from-layer="5572" from-port="0" to-layer="5576" to-port="1" />
+		<edge from-layer="5573" from-port="0" to-layer="5576" to-port="2" />
+		<edge from-layer="5574" from-port="0" to-layer="5576" to-port="3" />
+		<edge from-layer="5575" from-port="0" to-layer="5576" to-port="4" />
+		<edge from-layer="5576" from-port="5" to-layer="5578" to-port="0" />
+		<edge from-layer="5577" from-port="0" to-layer="5578" to-port="1" />
+		<edge from-layer="5578" from-port="2" to-layer="5580" to-port="0" />
+		<edge from-layer="5579" from-port="0" to-layer="5580" to-port="1" />
+		<edge from-layer="5580" from-port="2" to-layer="5585" to-port="0" />
+		<edge from-layer="5581" from-port="0" to-layer="5582" to-port="0" />
+		<edge from-layer="5582" from-port="1" to-layer="5584" to-port="0" />
+		<edge from-layer="5583" from-port="0" to-layer="5584" to-port="1" />
+		<edge from-layer="5584" from-port="2" to-layer="5585" to-port="1" />
+		<edge from-layer="5585" from-port="2" to-layer="5587" to-port="0" />
+		<edge from-layer="5586" from-port="0" to-layer="5587" to-port="1" />
+		<edge from-layer="5587" from-port="2" to-layer="5588" to-port="0" />
+		<edge from-layer="5588" from-port="2" to-layer="5589" to-port="0" />
+		<edge from-layer="5589" from-port="2" to-layer="5603" to-port="0" />
+		<edge from-layer="5589" from-port="2" to-layer="5594" to-port="0" />
+		<edge from-layer="5590" from-port="0" to-layer="5594" to-port="1" />
+		<edge from-layer="5591" from-port="0" to-layer="5594" to-port="2" />
+		<edge from-layer="5592" from-port="0" to-layer="5594" to-port="3" />
+		<edge from-layer="5593" from-port="0" to-layer="5594" to-port="4" />
+		<edge from-layer="5594" from-port="5" to-layer="5599" to-port="0" />
+		<edge from-layer="5595" from-port="0" to-layer="5596" to-port="0" />
+		<edge from-layer="5596" from-port="1" to-layer="5598" to-port="0" />
+		<edge from-layer="5597" from-port="0" to-layer="5598" to-port="1" />
+		<edge from-layer="5598" from-port="2" to-layer="5599" to-port="1" />
+		<edge from-layer="5599" from-port="2" to-layer="5601" to-port="0" />
+		<edge from-layer="5600" from-port="0" to-layer="5601" to-port="1" />
+		<edge from-layer="5601" from-port="2" to-layer="5664" to-port="0" />
+		<edge from-layer="5602" from-port="0" to-layer="5603" to-port="1" />
+		<edge from-layer="5603" from-port="2" to-layer="5605" to-port="0" />
+		<edge from-layer="5604" from-port="0" to-layer="5605" to-port="1" />
+		<edge from-layer="5605" from-port="2" to-layer="5607" to-port="0" />
+		<edge from-layer="5606" from-port="0" to-layer="5607" to-port="1" />
+		<edge from-layer="5607" from-port="2" to-layer="5609" to-port="0" />
+		<edge from-layer="5608" from-port="0" to-layer="5609" to-port="1" />
+		<edge from-layer="5609" from-port="2" to-layer="5611" to-port="0" />
+		<edge from-layer="5610" from-port="0" to-layer="5611" to-port="1" />
+		<edge from-layer="5611" from-port="2" to-layer="5612" to-port="0" />
+		<edge from-layer="5612" from-port="1" to-layer="5617" to-port="0" />
+		<edge from-layer="5613" from-port="0" to-layer="5617" to-port="1" />
+		<edge from-layer="5614" from-port="0" to-layer="5617" to-port="2" />
+		<edge from-layer="5615" from-port="0" to-layer="5617" to-port="3" />
+		<edge from-layer="5616" from-port="0" to-layer="5617" to-port="4" />
+		<edge from-layer="5617" from-port="5" to-layer="5622" to-port="0" />
+		<edge from-layer="5618" from-port="0" to-layer="5619" to-port="0" />
+		<edge from-layer="5619" from-port="1" to-layer="5621" to-port="0" />
+		<edge from-layer="5620" from-port="0" to-layer="5621" to-port="1" />
+		<edge from-layer="5621" from-port="2" to-layer="5622" to-port="1" />
+		<edge from-layer="5622" from-port="2" to-layer="5624" to-port="0" />
+		<edge from-layer="5623" from-port="0" to-layer="5624" to-port="1" />
+		<edge from-layer="5624" from-port="2" to-layer="5640" to-port="0" />
+		<edge from-layer="5625" from-port="0" to-layer="5626" to-port="0" />
+		<edge from-layer="5626" from-port="1" to-layer="5629" to-port="0" />
+		<edge from-layer="5627" from-port="0" to-layer="5628" to-port="0" />
+		<edge from-layer="5628" from-port="1" to-layer="5629" to-port="1" />
+		<edge from-layer="5629" from-port="2" to-layer="5631" to-port="0" />
+		<edge from-layer="5630" from-port="0" to-layer="5631" to-port="1" />
+		<edge from-layer="5631" from-port="2" to-layer="5632" to-port="0" />
+		<edge from-layer="5632" from-port="1" to-layer="5633" to-port="1" />
+		<edge from-layer="5633" from-port="2" to-layer="5635" to-port="0" />
+		<edge from-layer="5634" from-port="0" to-layer="5635" to-port="1" />
+		<edge from-layer="5635" from-port="2" to-layer="5637" to-port="0" />
+		<edge from-layer="5636" from-port="0" to-layer="5637" to-port="1" />
+		<edge from-layer="5637" from-port="2" to-layer="5639" to-port="0" />
+		<edge from-layer="5638" from-port="0" to-layer="5639" to-port="1" />
+		<edge from-layer="5639" from-port="2" to-layer="5640" to-port="1" />
+		<edge from-layer="5640" from-port="2" to-layer="5642" to-port="0" />
+		<edge from-layer="5641" from-port="0" to-layer="5642" to-port="1" />
+		<edge from-layer="5642" from-port="2" to-layer="5644" to-port="0" />
+		<edge from-layer="5643" from-port="0" to-layer="5644" to-port="1" />
+		<edge from-layer="5644" from-port="2" to-layer="5646" to-port="0" />
+		<edge from-layer="5645" from-port="0" to-layer="5646" to-port="1" />
+		<edge from-layer="5646" from-port="2" to-layer="5648" to-port="0" />
+		<edge from-layer="5647" from-port="0" to-layer="5648" to-port="1" />
+		<edge from-layer="5648" from-port="2" to-layer="5650" to-port="0" />
+		<edge from-layer="5649" from-port="0" to-layer="5650" to-port="1" />
+		<edge from-layer="5650" from-port="2" to-layer="5651" to-port="0" />
+		<edge from-layer="5651" from-port="1" to-layer="5656" to-port="0" />
+		<edge from-layer="5652" from-port="0" to-layer="5656" to-port="1" />
+		<edge from-layer="5653" from-port="0" to-layer="5656" to-port="2" />
+		<edge from-layer="5654" from-port="0" to-layer="5656" to-port="3" />
+		<edge from-layer="5655" from-port="0" to-layer="5656" to-port="4" />
+		<edge from-layer="5656" from-port="5" to-layer="5661" to-port="0" />
+		<edge from-layer="5657" from-port="0" to-layer="5658" to-port="0" />
+		<edge from-layer="5658" from-port="1" to-layer="5660" to-port="0" />
+		<edge from-layer="5659" from-port="0" to-layer="5660" to-port="1" />
+		<edge from-layer="5660" from-port="2" to-layer="5661" to-port="1" />
+		<edge from-layer="5661" from-port="2" to-layer="5663" to-port="0" />
+		<edge from-layer="5662" from-port="0" to-layer="5663" to-port="1" />
+		<edge from-layer="5663" from-port="2" to-layer="5664" to-port="1" />
+		<edge from-layer="5664" from-port="2" to-layer="5923" to-port="1" />
+		<edge from-layer="5664" from-port="2" to-layer="5666" to-port="0" />
+		<edge from-layer="5665" from-port="0" to-layer="5666" to-port="1" />
+		<edge from-layer="5666" from-port="2" to-layer="5668" to-port="0" />
+		<edge from-layer="5667" from-port="0" to-layer="5668" to-port="1" />
+		<edge from-layer="5668" from-port="2" to-layer="5670" to-port="0" />
+		<edge from-layer="5669" from-port="0" to-layer="5670" to-port="1" />
+		<edge from-layer="5670" from-port="2" to-layer="5672" to-port="0" />
+		<edge from-layer="5671" from-port="0" to-layer="5672" to-port="1" />
+		<edge from-layer="5672" from-port="2" to-layer="5674" to-port="0" />
+		<edge from-layer="5673" from-port="0" to-layer="5674" to-port="1" />
+		<edge from-layer="5674" from-port="2" to-layer="5679" to-port="0" />
+		<edge from-layer="5675" from-port="0" to-layer="5679" to-port="1" />
+		<edge from-layer="5676" from-port="0" to-layer="5679" to-port="2" />
+		<edge from-layer="5677" from-port="0" to-layer="5679" to-port="3" />
+		<edge from-layer="5678" from-port="0" to-layer="5679" to-port="4" />
+		<edge from-layer="5679" from-port="5" to-layer="5684" to-port="0" />
+		<edge from-layer="5680" from-port="0" to-layer="5681" to-port="0" />
+		<edge from-layer="5681" from-port="1" to-layer="5683" to-port="0" />
+		<edge from-layer="5682" from-port="0" to-layer="5683" to-port="1" />
+		<edge from-layer="5683" from-port="2" to-layer="5684" to-port="1" />
+		<edge from-layer="5684" from-port="2" to-layer="5686" to-port="0" />
+		<edge from-layer="5685" from-port="0" to-layer="5686" to-port="1" />
+		<edge from-layer="5686" from-port="2" to-layer="5688" to-port="0" />
+		<edge from-layer="5687" from-port="0" to-layer="5688" to-port="1" />
+		<edge from-layer="5688" from-port="2" to-layer="5690" to-port="0" />
+		<edge from-layer="5689" from-port="0" to-layer="5690" to-port="1" />
+		<edge from-layer="5690" from-port="2" to-layer="5692" to-port="0" />
+		<edge from-layer="5690" from-port="2" to-layer="5776" to-port="1" />
+		<edge from-layer="5691" from-port="0" to-layer="5692" to-port="1" />
+		<edge from-layer="5692" from-port="2" to-layer="5694" to-port="0" />
+		<edge from-layer="5693" from-port="0" to-layer="5694" to-port="1" />
+		<edge from-layer="5694" from-port="2" to-layer="5696" to-port="0" />
+		<edge from-layer="5695" from-port="0" to-layer="5696" to-port="1" />
+		<edge from-layer="5696" from-port="2" to-layer="5756" to-port="0" />
+		<edge from-layer="5696" from-port="2" to-layer="5735" to-port="0" />
+		<edge from-layer="5696" from-port="2" to-layer="5705" to-port="0" />
+		<edge from-layer="5697" from-port="0" to-layer="5698" to-port="0" />
+		<edge from-layer="5698" from-port="1" to-layer="5701" to-port="0" />
+		<edge from-layer="5699" from-port="0" to-layer="5700" to-port="0" />
+		<edge from-layer="5700" from-port="1" to-layer="5701" to-port="1" />
+		<edge from-layer="5701" from-port="2" to-layer="5703" to-port="0" />
+		<edge from-layer="5702" from-port="0" to-layer="5703" to-port="1" />
+		<edge from-layer="5703" from-port="2" to-layer="5704" to-port="0" />
+		<edge from-layer="5704" from-port="1" to-layer="5705" to-port="1" />
+		<edge from-layer="5705" from-port="2" to-layer="5707" to-port="0" />
+		<edge from-layer="5706" from-port="0" to-layer="5707" to-port="1" />
+		<edge from-layer="5707" from-port="2" to-layer="5709" to-port="0" />
+		<edge from-layer="5708" from-port="0" to-layer="5709" to-port="1" />
+		<edge from-layer="5709" from-port="2" to-layer="5711" to-port="0" />
+		<edge from-layer="5709" from-port="2" to-layer="5721" to-port="0" />
+		<edge from-layer="5710" from-port="0" to-layer="5719" to-port="0" />
+		<edge from-layer="5711" from-port="1" to-layer="5716" to-port="0" />
+		<edge from-layer="5712" from-port="0" to-layer="5716" to-port="1" />
+		<edge from-layer="5713" from-port="0" to-layer="5716" to-port="2" />
+		<edge from-layer="5714" from-port="0" to-layer="5716" to-port="3" />
+		<edge from-layer="5715" from-port="0" to-layer="5716" to-port="4" />
+		<edge from-layer="5716" from-port="5" to-layer="5717" to-port="0" />
+		<edge from-layer="5717" from-port="1" to-layer="5718" to-port="0" />
+		<edge from-layer="5718" from-port="1" to-layer="5719" to-port="1" />
+		<edge from-layer="5719" from-port="2" to-layer="5720" to-port="0" />
+		<edge from-layer="5720" from-port="1" to-layer="5721" to-port="1" />
+		<edge from-layer="5720" from-port="1" to-layer="5740" to-port="1" />
+		<edge from-layer="5721" from-port="2" to-layer="5726" to-port="0" />
+		<edge from-layer="5722" from-port="0" to-layer="5726" to-port="1" />
+		<edge from-layer="5723" from-port="0" to-layer="5726" to-port="2" />
+		<edge from-layer="5724" from-port="0" to-layer="5726" to-port="3" />
+		<edge from-layer="5725" from-port="0" to-layer="5726" to-port="4" />
+		<edge from-layer="5726" from-port="5" to-layer="5746" to-port="0" />
+		<edge from-layer="5727" from-port="0" to-layer="5728" to-port="0" />
+		<edge from-layer="5728" from-port="1" to-layer="5731" to-port="0" />
+		<edge from-layer="5729" from-port="0" to-layer="5730" to-port="0" />
+		<edge from-layer="5730" from-port="1" to-layer="5731" to-port="1" />
+		<edge from-layer="5731" from-port="2" to-layer="5733" to-port="0" />
+		<edge from-layer="5732" from-port="0" to-layer="5733" to-port="1" />
+		<edge from-layer="5733" from-port="2" to-layer="5734" to-port="0" />
+		<edge from-layer="5734" from-port="1" to-layer="5735" to-port="1" />
+		<edge from-layer="5735" from-port="2" to-layer="5737" to-port="0" />
+		<edge from-layer="5736" from-port="0" to-layer="5737" to-port="1" />
+		<edge from-layer="5737" from-port="2" to-layer="5739" to-port="0" />
+		<edge from-layer="5738" from-port="0" to-layer="5739" to-port="1" />
+		<edge from-layer="5739" from-port="2" to-layer="5740" to-port="0" />
+		<edge from-layer="5740" from-port="2" to-layer="5745" to-port="0" />
+		<edge from-layer="5741" from-port="0" to-layer="5745" to-port="1" />
+		<edge from-layer="5742" from-port="0" to-layer="5745" to-port="2" />
+		<edge from-layer="5743" from-port="0" to-layer="5745" to-port="3" />
+		<edge from-layer="5744" from-port="0" to-layer="5745" to-port="4" />
+		<edge from-layer="5745" from-port="5" to-layer="5746" to-port="1" />
+		<edge from-layer="5746" from-port="2" to-layer="5747" to-port="0" />
+		<edge from-layer="5747" from-port="1" to-layer="5761" to-port="0" />
+		<edge from-layer="5748" from-port="0" to-layer="5749" to-port="0" />
+		<edge from-layer="5749" from-port="1" to-layer="5752" to-port="0" />
+		<edge from-layer="5750" from-port="0" to-layer="5751" to-port="0" />
+		<edge from-layer="5751" from-port="1" to-layer="5752" to-port="1" />
+		<edge from-layer="5752" from-port="2" to-layer="5754" to-port="0" />
+		<edge from-layer="5753" from-port="0" to-layer="5754" to-port="1" />
+		<edge from-layer="5754" from-port="2" to-layer="5755" to-port="0" />
+		<edge from-layer="5755" from-port="1" to-layer="5756" to-port="1" />
+		<edge from-layer="5756" from-port="2" to-layer="5758" to-port="0" />
+		<edge from-layer="5757" from-port="0" to-layer="5758" to-port="1" />
+		<edge from-layer="5758" from-port="2" to-layer="5760" to-port="0" />
+		<edge from-layer="5759" from-port="0" to-layer="5760" to-port="1" />
+		<edge from-layer="5760" from-port="2" to-layer="5761" to-port="1" />
+		<edge from-layer="5761" from-port="2" to-layer="5763" to-port="0" />
+		<edge from-layer="5762" from-port="0" to-layer="5763" to-port="1" />
+		<edge from-layer="5763" from-port="2" to-layer="5765" to-port="0" />
+		<edge from-layer="5764" from-port="0" to-layer="5765" to-port="1" />
+		<edge from-layer="5765" from-port="2" to-layer="5774" to-port="0" />
+		<edge from-layer="5766" from-port="0" to-layer="5767" to-port="0" />
+		<edge from-layer="5767" from-port="1" to-layer="5770" to-port="0" />
+		<edge from-layer="5768" from-port="0" to-layer="5769" to-port="0" />
+		<edge from-layer="5769" from-port="1" to-layer="5770" to-port="1" />
+		<edge from-layer="5770" from-port="2" to-layer="5772" to-port="0" />
+		<edge from-layer="5771" from-port="0" to-layer="5772" to-port="1" />
+		<edge from-layer="5772" from-port="2" to-layer="5773" to-port="0" />
+		<edge from-layer="5773" from-port="1" to-layer="5774" to-port="1" />
+		<edge from-layer="5774" from-port="2" to-layer="5775" to-port="1" />
+		<edge from-layer="5775" from-port="2" to-layer="5776" to-port="0" />
+		<edge from-layer="5776" from-port="2" to-layer="5778" to-port="0" />
+		<edge from-layer="5776" from-port="2" to-layer="5862" to-port="1" />
+		<edge from-layer="5777" from-port="0" to-layer="5778" to-port="1" />
+		<edge from-layer="5778" from-port="2" to-layer="5780" to-port="0" />
+		<edge from-layer="5779" from-port="0" to-layer="5780" to-port="1" />
+		<edge from-layer="5780" from-port="2" to-layer="5782" to-port="0" />
+		<edge from-layer="5781" from-port="0" to-layer="5782" to-port="1" />
+		<edge from-layer="5782" from-port="2" to-layer="5791" to-port="0" />
+		<edge from-layer="5783" from-port="0" to-layer="5784" to-port="0" />
+		<edge from-layer="5784" from-port="1" to-layer="5787" to-port="0" />
+		<edge from-layer="5785" from-port="0" to-layer="5786" to-port="0" />
+		<edge from-layer="5786" from-port="1" to-layer="5787" to-port="1" />
+		<edge from-layer="5787" from-port="2" to-layer="5789" to-port="0" />
+		<edge from-layer="5788" from-port="0" to-layer="5789" to-port="1" />
+		<edge from-layer="5789" from-port="2" to-layer="5790" to-port="0" />
+		<edge from-layer="5790" from-port="1" to-layer="5791" to-port="1" />
+		<edge from-layer="5791" from-port="2" to-layer="5793" to-port="0" />
+		<edge from-layer="5792" from-port="0" to-layer="5793" to-port="1" />
+		<edge from-layer="5793" from-port="2" to-layer="5795" to-port="0" />
+		<edge from-layer="5794" from-port="0" to-layer="5795" to-port="1" />
+		<edge from-layer="5795" from-port="2" to-layer="5807" to-port="0" />
+		<edge from-layer="5795" from-port="2" to-layer="5797" to-port="0" />
+		<edge from-layer="5796" from-port="0" to-layer="5805" to-port="0" />
+		<edge from-layer="5797" from-port="1" to-layer="5802" to-port="0" />
+		<edge from-layer="5798" from-port="0" to-layer="5802" to-port="1" />
+		<edge from-layer="5799" from-port="0" to-layer="5802" to-port="2" />
+		<edge from-layer="5800" from-port="0" to-layer="5802" to-port="3" />
+		<edge from-layer="5801" from-port="0" to-layer="5802" to-port="4" />
+		<edge from-layer="5802" from-port="5" to-layer="5803" to-port="0" />
+		<edge from-layer="5803" from-port="1" to-layer="5804" to-port="0" />
+		<edge from-layer="5804" from-port="1" to-layer="5805" to-port="1" />
+		<edge from-layer="5805" from-port="2" to-layer="5806" to-port="0" />
+		<edge from-layer="5806" from-port="1" to-layer="5807" to-port="1" />
+		<edge from-layer="5806" from-port="1" to-layer="5826" to-port="1" />
+		<edge from-layer="5807" from-port="2" to-layer="5812" to-port="0" />
+		<edge from-layer="5808" from-port="0" to-layer="5812" to-port="1" />
+		<edge from-layer="5809" from-port="0" to-layer="5812" to-port="2" />
+		<edge from-layer="5810" from-port="0" to-layer="5812" to-port="3" />
+		<edge from-layer="5811" from-port="0" to-layer="5812" to-port="4" />
+		<edge from-layer="5812" from-port="5" to-layer="5832" to-port="0" />
+		<edge from-layer="5813" from-port="0" to-layer="5814" to-port="0" />
+		<edge from-layer="5814" from-port="1" to-layer="5817" to-port="0" />
+		<edge from-layer="5815" from-port="0" to-layer="5816" to-port="0" />
+		<edge from-layer="5816" from-port="1" to-layer="5817" to-port="1" />
+		<edge from-layer="5817" from-port="2" to-layer="5819" to-port="0" />
+		<edge from-layer="5818" from-port="0" to-layer="5819" to-port="1" />
+		<edge from-layer="5819" from-port="2" to-layer="5820" to-port="0" />
+		<edge from-layer="5820" from-port="1" to-layer="5821" to-port="1" />
+		<edge from-layer="5821" from-port="2" to-layer="5823" to-port="0" />
+		<edge from-layer="5822" from-port="0" to-layer="5823" to-port="1" />
+		<edge from-layer="5823" from-port="2" to-layer="5825" to-port="0" />
+		<edge from-layer="5824" from-port="0" to-layer="5825" to-port="1" />
+		<edge from-layer="5825" from-port="2" to-layer="5826" to-port="0" />
+		<edge from-layer="5826" from-port="2" to-layer="5831" to-port="0" />
+		<edge from-layer="5827" from-port="0" to-layer="5831" to-port="1" />
+		<edge from-layer="5828" from-port="0" to-layer="5831" to-port="2" />
+		<edge from-layer="5829" from-port="0" to-layer="5831" to-port="3" />
+		<edge from-layer="5830" from-port="0" to-layer="5831" to-port="4" />
+		<edge from-layer="5831" from-port="5" to-layer="5832" to-port="1" />
+		<edge from-layer="5832" from-port="2" to-layer="5833" to-port="0" />
+		<edge from-layer="5833" from-port="1" to-layer="5847" to-port="0" />
+		<edge from-layer="5834" from-port="0" to-layer="5835" to-port="0" />
+		<edge from-layer="5835" from-port="1" to-layer="5838" to-port="0" />
+		<edge from-layer="5836" from-port="0" to-layer="5837" to-port="0" />
+		<edge from-layer="5837" from-port="1" to-layer="5838" to-port="1" />
+		<edge from-layer="5838" from-port="2" to-layer="5840" to-port="0" />
+		<edge from-layer="5839" from-port="0" to-layer="5840" to-port="1" />
+		<edge from-layer="5840" from-port="2" to-layer="5841" to-port="0" />
+		<edge from-layer="5841" from-port="1" to-layer="5842" to-port="1" />
+		<edge from-layer="5842" from-port="2" to-layer="5844" to-port="0" />
+		<edge from-layer="5843" from-port="0" to-layer="5844" to-port="1" />
+		<edge from-layer="5844" from-port="2" to-layer="5846" to-port="0" />
+		<edge from-layer="5845" from-port="0" to-layer="5846" to-port="1" />
+		<edge from-layer="5846" from-port="2" to-layer="5847" to-port="1" />
+		<edge from-layer="5847" from-port="2" to-layer="5849" to-port="0" />
+		<edge from-layer="5848" from-port="0" to-layer="5849" to-port="1" />
+		<edge from-layer="5849" from-port="2" to-layer="5851" to-port="0" />
+		<edge from-layer="5850" from-port="0" to-layer="5851" to-port="1" />
+		<edge from-layer="5851" from-port="2" to-layer="5860" to-port="0" />
+		<edge from-layer="5852" from-port="0" to-layer="5853" to-port="0" />
+		<edge from-layer="5853" from-port="1" to-layer="5856" to-port="0" />
+		<edge from-layer="5854" from-port="0" to-layer="5855" to-port="0" />
+		<edge from-layer="5855" from-port="1" to-layer="5856" to-port="1" />
+		<edge from-layer="5856" from-port="2" to-layer="5858" to-port="0" />
+		<edge from-layer="5857" from-port="0" to-layer="5858" to-port="1" />
+		<edge from-layer="5858" from-port="2" to-layer="5859" to-port="0" />
+		<edge from-layer="5859" from-port="1" to-layer="5860" to-port="1" />
+		<edge from-layer="5860" from-port="2" to-layer="5861" to-port="1" />
+		<edge from-layer="5861" from-port="2" to-layer="5862" to-port="0" />
+		<edge from-layer="5862" from-port="2" to-layer="5906" to-port="1" />
+		<edge from-layer="5862" from-port="2" to-layer="5864" to-port="0" />
+		<edge from-layer="5863" from-port="0" to-layer="5864" to-port="1" />
+		<edge from-layer="5864" from-port="2" to-layer="5866" to-port="0" />
+		<edge from-layer="5865" from-port="0" to-layer="5866" to-port="1" />
+		<edge from-layer="5866" from-port="2" to-layer="5868" to-port="0" />
+		<edge from-layer="5867" from-port="0" to-layer="5868" to-port="1" />
+		<edge from-layer="5868" from-port="2" to-layer="5877" to-port="0" />
+		<edge from-layer="5869" from-port="0" to-layer="5870" to-port="0" />
+		<edge from-layer="5870" from-port="1" to-layer="5873" to-port="0" />
+		<edge from-layer="5871" from-port="0" to-layer="5872" to-port="0" />
+		<edge from-layer="5872" from-port="1" to-layer="5873" to-port="1" />
+		<edge from-layer="5873" from-port="2" to-layer="5875" to-port="0" />
+		<edge from-layer="5874" from-port="0" to-layer="5875" to-port="1" />
+		<edge from-layer="5875" from-port="2" to-layer="5876" to-port="0" />
+		<edge from-layer="5876" from-port="1" to-layer="5877" to-port="1" />
+		<edge from-layer="5877" from-port="2" to-layer="5878" to-port="1" />
+		<edge from-layer="5878" from-port="2" to-layer="5893" to-port="0" />
+		<edge from-layer="5878" from-port="2" to-layer="5889" to-port="0" />
+		<edge from-layer="5878" from-port="2" to-layer="5880" to-port="0" />
+		<edge from-layer="5879" from-port="0" to-layer="5889" to-port="1" />
+		<edge from-layer="5880" from-port="1" to-layer="5883" to-port="0" />
+		<edge from-layer="5881" from-port="0" to-layer="5893" to-port="4" />
+		<edge from-layer="5881" from-port="0" to-layer="5883" to-port="1" />
+		<edge from-layer="5881" from-port="0" to-layer="5889" to-port="4" />
+		<edge from-layer="5882" from-port="0" to-layer="5883" to-port="2" />
+		<edge from-layer="5883" from-port="3" to-layer="5885" to-port="0" />
+		<edge from-layer="5884" from-port="0" to-layer="5885" to-port="1" />
+		<edge from-layer="5885" from-port="2" to-layer="5887" to-port="0" />
+		<edge from-layer="5886" from-port="0" to-layer="5887" to-port="1" />
+		<edge from-layer="5887" from-port="2" to-layer="5891" to-port="0" />
+		<edge from-layer="5887" from-port="2" to-layer="5889" to-port="2" />
+		<edge from-layer="5887" from-port="2" to-layer="5893" to-port="1" />
+		<edge from-layer="5888" from-port="0" to-layer="5889" to-port="3" />
+		<edge from-layer="5889" from-port="5" to-layer="5895" to-port="0" />
+		<edge from-layer="5890" from-port="0" to-layer="5891" to-port="1" />
+		<edge from-layer="5891" from-port="2" to-layer="5893" to-port="2" />
+		<edge from-layer="5892" from-port="0" to-layer="5893" to-port="3" />
+		<edge from-layer="5893" from-port="5" to-layer="5894" to-port="0" />
+		<edge from-layer="5894" from-port="1" to-layer="5895" to-port="1" />
+		<edge from-layer="5895" from-port="2" to-layer="5904" to-port="0" />
+		<edge from-layer="5896" from-port="0" to-layer="5897" to-port="0" />
+		<edge from-layer="5897" from-port="1" to-layer="5900" to-port="0" />
+		<edge from-layer="5898" from-port="0" to-layer="5899" to-port="0" />
+		<edge from-layer="5899" from-port="1" to-layer="5900" to-port="1" />
+		<edge from-layer="5900" from-port="2" to-layer="5902" to-port="0" />
+		<edge from-layer="5901" from-port="0" to-layer="5902" to-port="1" />
+		<edge from-layer="5902" from-port="2" to-layer="5903" to-port="0" />
+		<edge from-layer="5903" from-port="1" to-layer="5904" to-port="1" />
+		<edge from-layer="5904" from-port="2" to-layer="5905" to-port="1" />
+		<edge from-layer="5905" from-port="2" to-layer="5906" to-port="0" />
+		<edge from-layer="5906" from-port="2" to-layer="5911" to-port="0" />
+		<edge from-layer="5907" from-port="0" to-layer="5911" to-port="1" />
+		<edge from-layer="5908" from-port="0" to-layer="5911" to-port="2" />
+		<edge from-layer="5909" from-port="0" to-layer="5911" to-port="3" />
+		<edge from-layer="5910" from-port="0" to-layer="5911" to-port="4" />
+		<edge from-layer="5911" from-port="5" to-layer="5913" to-port="0" />
+		<edge from-layer="5912" from-port="0" to-layer="5913" to-port="1" />
+		<edge from-layer="5913" from-port="2" to-layer="5915" to-port="0" />
+		<edge from-layer="5914" from-port="0" to-layer="5915" to-port="1" />
+		<edge from-layer="5915" from-port="2" to-layer="5920" to-port="0" />
+		<edge from-layer="5916" from-port="0" to-layer="5917" to-port="0" />
+		<edge from-layer="5917" from-port="1" to-layer="5919" to-port="0" />
+		<edge from-layer="5918" from-port="0" to-layer="5919" to-port="1" />
+		<edge from-layer="5919" from-port="2" to-layer="5920" to-port="1" />
+		<edge from-layer="5920" from-port="2" to-layer="5922" to-port="0" />
+		<edge from-layer="5921" from-port="0" to-layer="5922" to-port="1" />
+		<edge from-layer="5922" from-port="2" to-layer="5923" to-port="0" />
+		<edge from-layer="5923" from-port="2" to-layer="5925" to-port="0" />
+		<edge from-layer="5924" from-port="0" to-layer="5925" to-port="1" />
+		<edge from-layer="5925" from-port="2" to-layer="5927" to-port="0" />
+		<edge from-layer="5926" from-port="0" to-layer="5927" to-port="1" />
+		<edge from-layer="5927" from-port="2" to-layer="5929" to-port="0" />
+		<edge from-layer="5928" from-port="0" to-layer="5929" to-port="1" />
+		<edge from-layer="5929" from-port="2" to-layer="5931" to-port="0" />
+		<edge from-layer="5930" from-port="0" to-layer="5931" to-port="1" />
+		<edge from-layer="5931" from-port="2" to-layer="5933" to-port="0" />
+		<edge from-layer="5932" from-port="0" to-layer="5933" to-port="1" />
+		<edge from-layer="5933" from-port="2" to-layer="5934" to-port="0" />
+		<edge from-layer="5934" from-port="1" to-layer="5939" to-port="0" />
+		<edge from-layer="5935" from-port="0" to-layer="5939" to-port="1" />
+		<edge from-layer="5936" from-port="0" to-layer="5939" to-port="2" />
+		<edge from-layer="5937" from-port="0" to-layer="5939" to-port="3" />
+		<edge from-layer="5938" from-port="0" to-layer="5939" to-port="4" />
+		<edge from-layer="5939" from-port="5" to-layer="5944" to-port="0" />
+		<edge from-layer="5940" from-port="0" to-layer="5941" to-port="0" />
+		<edge from-layer="5941" from-port="1" to-layer="5943" to-port="0" />
+		<edge from-layer="5942" from-port="0" to-layer="5943" to-port="1" />
+		<edge from-layer="5943" from-port="2" to-layer="5944" to-port="1" />
+		<edge from-layer="5944" from-port="2" to-layer="5946" to-port="0" />
+		<edge from-layer="5945" from-port="0" to-layer="5946" to-port="1" />
+		<edge from-layer="5946" from-port="2" to-layer="5947" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2024.4.0-16028-fe423b97163" />
+		<conversion_parameters>
+			<is_python_object value="False" />
+		</conversion_parameters>
+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<quantization>
+				<advanced_parameters value="{'overflow_fix': None, 'quantize_outputs': False, 'inplace_statistics': True, 'disable_channel_alignment': True, 'disable_bias_correction': False, 'batchwise_statistics': None, 'activations_quantization_params': None, 'weights_quantization_params': None, 'activations_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'weights_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'bias_correction_params': {'apply_for_all_nodes': False, 'threshold': None}, 'smooth_quant_alphas': {'convolution': -1, 'matmul': -1}, 'smooth_quant_alpha': -1, 'backend_params': {}}" />
+				<fast_bias_correction value="True" />
+				<ignored_scope>
+					<names value="['/up_blocks.3/resnets.2/time_emb_proj/Gemm/WithoutBiases', '/time_embedding/linear_2/Gemm/WithoutBiases', '/time_embedding/linear_1/Gemm/WithoutBiases', '/up_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/down_blocks.0/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.3/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_v/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_q/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn1/to_k/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_v/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_q/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/attn2/to_k/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.2/MatMul', '/down_blocks.0/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.2/resnets.2/time_emb_proj/Gemm/WithoutBiases', '/up_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.1/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/down_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.2/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.1/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul', '/down_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.1/resnets.2/time_emb_proj/Gemm/WithoutBiases', '/up_blocks.1/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.2/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/down_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.1/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.2/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul', '/down_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.0/resnets.2/time_emb_proj/Gemm/WithoutBiases', '/up_blocks.0/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.3/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/up_blocks.0/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/down_blocks.3/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/mid_block/resnets.1/time_emb_proj/Gemm/WithoutBiases', '/mid_block/resnets.0/time_emb_proj/Gemm/WithoutBiases', '/mid_block/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/mid_block/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/mid_block/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/mid_block/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.1/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.1/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.1/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.2/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.2/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.2/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.3/attentions.0/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.3/attentions.1/transformer_blocks.0/ff/net.0/proj/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_out.0/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_v/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_q/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn1/to_k/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_out.0/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_v/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_q/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/attn2/to_k/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.2/MatMul', '/up_blocks.3/attentions.2/transformer_blocks.0/ff/net.0/proj/MatMul']" />
+				</ignored_scope>
+				<model_type value="transformer" />
+				<preset value="None" />
+				<subset_size value="300" />
+				<target_device value="ANY" />
+			</quantization>
+			<weight_compression>
+				<all_layers value="False" />
+				<awq value="False" />
+				<gptq value="False" />
+				<group_size value="-1" />
+				<ignored_scope>
+					<types value="['Convolution']" />
+				</ignored_scope>
+				<mode value="int8_asym" />
+				<ratio value="1" />
+				<scale_estimation value="False" />
+				<sensitivity_metric value="weight_quantization_error" />
+			</weight_compression>
+		</nncf>
+	</rt_info>
+</net>