diff --git "a/vae_decoder/openvino_model.xml" "b/vae_decoder/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/vae_decoder/openvino_model.xml"
@@ -0,0 +1,11340 @@
+<?xml version="1.0"?>
+<net name="Model9" version="11">
+	<layers>
+		<layer id="0" name="latent_sample" type="Parameter" version="opset1">
+			<data shape="1,4,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="latent_sample">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_449221" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.post_quant_conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="4, 4, 1, 1" offset="4" size="64" />
+			<output>
+				<port id="0" precision="FP32" names="161,self.post_quant_conv.weight">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.post_quant_conv/aten::_convolution/Convolution" 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>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 4, 1, 1" offset="68" 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="5" name="__module.post_quant_conv/aten::_convolution/Add_3" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</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="163,input.1">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.decoder.conv_in.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 4, 3, 3" offset="84" size="73728" />
+			<output>
+				<port id="0" precision="FP32" names="159,self.decoder.conv_in.weight">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.decoder.conv_in/aten::_convolution/Convolution" 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>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="73812" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.decoder.conv_in/aten::_convolution/Add_7" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="164,input.3">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_10" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_11" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape_12" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Constant_449212" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="75876" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Constant_449213" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="77924" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="165,input.5">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="166,input.7">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="79972" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="155,self.decoder.mid_block.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="9517156" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Add_17" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="167,input.9">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_20" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_21" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape_22" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_449214" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="9519204" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Constant_449215" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="9521252" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="168,input.11">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_24" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="169,input.13">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="9523300" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="151,self.decoder.mid_block.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="18960484" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Add_28" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="170,hidden_states.1">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="__module.decoder.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="171,172,hidden_states.3">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="Constant_448536" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="__module.decoder.mid_block.attentions.0/aten::size/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="44" name="__module.decoder.mid_block.attentions.0/aten::size/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="173">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_38/Reshape_0" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="18962532" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="5" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32" names="5" />
+			</output>
+		</layer>
+		<layer id="47" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_33" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="48" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_34" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="175" />
+			</output>
+		</layer>
+		<layer id="49" name="6" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="18962536" size="4" />
+			<output>
+				<port id="0" precision="I32" names="6" />
+			</output>
+		</layer>
+		<layer id="50" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_36" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="51" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_37" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="177" />
+			</output>
+		</layer>
+		<layer id="52" name="__module.decoder.mid_block.attentions.0/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32" names="179,180" />
+			</output>
+		</layer>
+		<layer id="53" name="Constant_494830" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_38/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_38/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32" names="181">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="182">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="18962548" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="183,hidden_states.5">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_69" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="18962548" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_70" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="185,input.17">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant_73" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant_74" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape_75" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="Constant_449216" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1" offset="18962560" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="Constant_449217" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1" offset="18964608" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="186">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512" offset="18966656" size="1048576" />
+			<output>
+				<port id="0" precision="FP32" names="147,self.decoder.mid_block.attentions.0.to_q.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/MatMul_97" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="Constant_449218" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="20015232" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="74" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="188,tensor.1">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_100" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="20" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" names="20" />
+			</output>
+		</layer>
+		<layer id="77" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_101" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="78" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_102" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="191,201,202" />
+			</output>
+		</layer>
+		<layer id="79" name="Constant_494831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_112/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Constant_448539" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_104" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="83" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_105" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="193">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_112/Reshape_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_107" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="86" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_108" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="194" />
+			</output>
+		</layer>
+		<layer id="87" name="__module.decoder.mid_block.attentions.0/aten::floor_divide/Floor" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="196,197" />
+			</output>
+		</layer>
+		<layer id="88" name="Constant_494832" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_112/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_112/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="198">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="91" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="199,tensor.3">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="Constant_449109" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20017284" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="93" name="__module.decoder.mid_block.attentions.0/aten::permute/Transpose" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="200,tensor.5">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_117/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32" names="203">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_118" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="204,query">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512" offset="20017316" size="1048576" />
+			<output>
+				<port id="0" precision="FP32" names="145,self.decoder.mid_block.attentions.0.to_k.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/MatMul_98" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="Constant_449219" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="21065892" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="189,tensor.7">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_119" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_120" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="102" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_121" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="205,215,216" />
+			</output>
+		</layer>
+		<layer id="103" name="Constant_494833" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_133/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="Constant_448548" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_123" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="107" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_124" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="207">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_133/Reshape_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_126" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="110" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_127" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="208" />
+			</output>
+		</layer>
+		<layer id="111" name="__module.decoder.mid_block.attentions.0/aten::floor_divide/Floor_129" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="210,211" />
+			</output>
+		</layer>
+		<layer id="112" name="Constant_494834" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_133/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_133/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="212">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_134" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="213,tensor.9">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Constant_449111" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20017284" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="__module.decoder.mid_block.attentions.0/aten::permute/Transpose_135" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="214,tensor.11">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_140/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32" names="217">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_141" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="218,key">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="Constant_449220" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="21067940" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="Multiply_449115" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="__module.decoder.mid_block.attentions.0/aten::baddbmm/Multiply_198" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="Add_448876" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="ShapeOf_448877" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="Constant_448807" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="21067944" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_165" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="Constant_448562" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="21067956" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="Constant_448563" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="21067964" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="129" name="Gather_448564" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_171" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="Constant_448551" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_172" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="133" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_173" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="235">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_176/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="236">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="Maximum_448808" type="Maximum" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="Maximum_448878" type="Maximum" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="__module.decoder.mid_block.attentions.0/aten::baddbmm/Add" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="239,240,attention_scores,attention_scores.1">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="138" name="__module.decoder.mid_block.attentions.0/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="241,242,attention_probs,attention_probs.1">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512" offset="21067972" size="1048576" />
+			<output>
+				<port id="0" precision="FP32" names="143,self.decoder.mid_block.attentions.0.to_v.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/MatMul_99" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="Constant_449222" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="22116548" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="190,tensor.13">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_142" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_143" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="145" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_144" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="219,229,230" />
+			</output>
+		</layer>
+		<layer id="146" name="Constant_494835" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_156/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="Constant_448554" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_146" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="150" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_147" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="221">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_156/Reshape_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_149" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="153" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_150" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="222" />
+			</output>
+		</layer>
+		<layer id="154" name="__module.decoder.mid_block.attentions.0/aten::floor_divide/Floor_152" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="224,225" />
+			</output>
+		</layer>
+		<layer id="155" name="Constant_494836" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_156/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_156/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="226">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_157" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="227,tensor.15">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="Constant_449113" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="20017284" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="__module.decoder.mid_block.attentions.0/aten::permute/Transpose_158" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="228,tensor.17">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_163/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32" names="231">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_164" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="232,value">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="__module.decoder.mid_block.attentions.0/aten::bmm/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="243,tensor.19">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_200" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_201" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="166" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_202" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="244" />
+			</output>
+		</layer>
+		<layer id="167" name="__module.decoder.mid_block.attentions.0/aten::floor_divide/Floor_210" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="I32" names="249,250" />
+			</output>
+		</layer>
+		<layer id="168" name="Constant_494837" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_214/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_214/Reshape_0" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="Constant_448557" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="20017280" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_204" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="173" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_205" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="246">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_207" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="175" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_208" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="247,254,255" />
+			</output>
+		</layer>
+		<layer id="176" name="Constant_494838" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_214/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_214/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="251">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_215" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="252,tensor">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="4" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="22118596" size="16" />
+			<output>
+				<port id="0" precision="I32" names="4">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="__module.decoder.mid_block.attentions.0/aten::permute/Transpose_216" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="253">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_221/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I32" names="256">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_222" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="257,input.21">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512" offset="22118612" size="1048576" />
+			<output>
+				<port id="0" precision="FP32" names="141,self.decoder.mid_block.attentions.0.to_out.0.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/MatMul_223" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="Constant_449223" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="23167188" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="258,input.23">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_242" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="18962548" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_243" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="259">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_48" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="Constant_448560" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_49" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="193" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_50" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32" names="184">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_246/Reshape_0" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="18962532" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="195" name="Constant_494839" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="196" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_246/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="197" name="Constant_494840" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18962540" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_246/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct_246/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="260">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_247" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="261,hidden_states.9">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="__module.decoder.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="262,263,hidden_states.11,input.25">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="202" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant_250" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="203" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="204" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant_251" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Reshape_252" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="Constant_449224" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="23169236" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="209" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="Constant_449225" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="23171284" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="264,input.27">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="212" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_254" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="265,input.29">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="213" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="23173332" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="137,self.decoder.mid_block.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="32610516" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="216" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Add_258" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="266,input.31">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_261" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_262" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape_263" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="Constant_449226" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="32612564" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="Constant_449227" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="32614612" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="267,input.33">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_265" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="268,input.35">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="32616660" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="133,self.decoder.mid_block.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="42053844" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Add_269" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="269,hidden_states.13">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="__module.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="270,271,272,input.39,sample">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant_272" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant_273" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Reshape_274" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="Constant_449228" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="42055892" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="Constant_449229" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="42057940" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="273,input.41">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_276" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="274,input.43">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="244" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="42059988" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="129,self.decoder.up_blocks.0.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="51497172" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Add_280" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="275,input.45">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant_283" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant_284" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape_285" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="Constant_449230" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="51499220" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="Constant_449231" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="51501268" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="276,input.47">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_287" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="277,input.49">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="51503316" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="125,self.decoder.up_blocks.0.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="60940500" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Add_291" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="278,hidden_states.15">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="__module.decoder.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="279,280,input.53">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant_294" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant_295" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape_296" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="Constant_449232" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="60942548" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="Constant_449233" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="60944596" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="281,input.55">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_298" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="282,input.57">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="60946644" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="121,self.decoder.up_blocks.0.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="70383828" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Add_302" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="283,input.59">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant_305" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant_306" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape_307" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="Constant_449234" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="70385876" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="Constant_449235" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="70387924" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="284,input.61">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_309" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="285,input.63">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="70389972" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="117,self.decoder.up_blocks.0.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="79827156" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Add_313" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="286,hidden_states.17">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="__module.decoder.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="287,288,input.67">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant_316" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant_317" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Reshape_318" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="Constant_449236" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="79829204" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="Constant_449237" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="79831252" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="289,input.69">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_320" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="290,input.71">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="79833300" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="113,self.decoder.up_blocks.0.resnets.2.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="89270484" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Add_324" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="291,input.73">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant_327" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant_328" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Reshape_329" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="Constant_449238" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="89272532" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="Constant_449239" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="89274580" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="292,input.75">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_331" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="293,input.77">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="89276628" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="109,self.decoder.up_blocks.0.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="98713812" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Add_335" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="294,hidden_states.19">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="__module.decoder.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="295,296,hidden_states.21">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="98715860" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="Constant_435754" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="98715868" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="297,input.81">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="98715876" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="107,self.decoder.up_blocks.0.upsamplers.0.conv.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="108153060" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="332" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Add_340" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="298,input.83">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant_343" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant_344" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Reshape_345" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="Constant_449240" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="108155108" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="Constant_449241" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="108157156" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="299,input.85">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_347" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="300,input.87">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="344" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="108159204" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="103,self.decoder.up_blocks.1.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="117596388" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="347" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Add_351" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="301,input.89">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant_354" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="350" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant_355" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Reshape_356" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="354" name="Constant_449242" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="117598436" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="356" name="Constant_449243" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="117600484" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="357" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="302,input.91">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_358" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="303,input.93">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="117602532" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="99,self.decoder.up_blocks.1.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="127039716" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Add_362" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="304,hidden_states.23">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="__module.decoder.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="305,306,input.97">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant_365" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant_366" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Reshape_367" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="Constant_449244" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="127041764" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="Constant_449245" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="127043812" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="307,input.99">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_369" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="308,input.101">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="127045860" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="95,self.decoder.up_blocks.1.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="136483044" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Add_373" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="309,input.103">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant_376" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant_377" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="384" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Reshape_378" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="Constant_449246" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="136485092" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="Constant_449247" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="136487140" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="310,input.105">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_380" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="311,input.107">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="390" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="136489188" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="91,self.decoder.up_blocks.1.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="145926372" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="393" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Add_384" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="312,hidden_states.25">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="394" name="__module.decoder.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="313,314,input.111">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="395" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant_387" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant_388" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="400" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape_389" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="Constant_449248" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="145928420" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="402" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="403" name="Constant_449249" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="145930468" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="315,input.113">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="405" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_391" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="316,input.115">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="406" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="145932516" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="87,self.decoder.up_blocks.1.resnets.2.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="408" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="155369700" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="409" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Add_395" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="317,input.117">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_398" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="412" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_399" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="414" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape_400" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="Constant_449250" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="155371748" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="417" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="Constant_449251" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="155373796" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="318,input.119">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_402" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="319,input.121">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="155375844" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="83,self.decoder.up_blocks.1.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="164813028" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Add_406" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="320,hidden_states.27">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="425" name="__module.decoder.up_blocks.1.resnets.2/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="321,322,hidden_states.29">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="98715860" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="Constant_436007" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="98715868" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="323,input.125">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="512, 512, 3, 3" offset="164815076" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="81,self.decoder.up_blocks.1.upsamplers.0.conv.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="430" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="174252260" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add_411" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="324,input.127">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 512, 1, 1" offset="174254308" size="524288" />
+			<output>
+				<port id="0" precision="FP32" names="71,self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="174778596" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add_437" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="331,input_tensor.1">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant_414" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant_415" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_416" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="Constant_449252" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="174779620" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="445" name="Constant_449253" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="174781668" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="325,input.129">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_418" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="326,input.131">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 512, 3, 3" offset="174783716" size="4718592" />
+			<output>
+				<port id="0" precision="FP32" names="77,self.decoder.up_blocks.2.resnets.0.conv1.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" 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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="179502308" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Add_422" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="327,input.133">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant_425" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="454" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant_426" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="455" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="456" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="457" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape_427" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="458" name="Constant_449254" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="179503332" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="Constant_449255" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="179504356" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="328,input.135">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_429" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="329,input.137">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 256, 3, 3" offset="179505380" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="73,self.decoder.up_blocks.2.resnets.0.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="181864676" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Add_433" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="330,hidden_states.31">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="__module.decoder.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="332,333,input.141">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="468" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_440" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_441" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="471" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape_442" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="Constant_449256" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="181865700" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="Constant_449257" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="181866724" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="334,input.143">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_444" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="335,input.145">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 256, 3, 3" offset="181867748" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="67,self.decoder.up_blocks.2.resnets.1.conv1.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="184227044" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Add_448" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="336,input.147">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant_451" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant_452" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Reshape_453" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="Constant_449258" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="184228068" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="491" name="Constant_449259" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="184229092" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="492" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="337,input.149">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_455" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="338,input.151">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 256, 3, 3" offset="184230116" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="63,self.decoder.up_blocks.2.resnets.1.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="495" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="186589412" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Add_459" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="339,hidden_states.33">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="498" name="__module.decoder.up_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="340,341,input.155">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="499" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant_462" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant_463" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Reshape_464" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="Constant_449260" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="186590436" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="506" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="Constant_449261" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="186591460" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="508" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="342,input.157">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_466" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="343,input.159">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="510" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 256, 3, 3" offset="186592484" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="59,self.decoder.up_blocks.2.resnets.2.conv1.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="511" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="188951780" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Add_470" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="344,input.161">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant_473" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="515" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant_474" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="517" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="518" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="519" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape_475" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="520" name="Constant_449262" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="188952804" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="522" name="Constant_449263" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="188953828" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="523" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="345,input.163">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="524" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_477" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="346,input.165">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 256, 3, 3" offset="188954852" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="55,self.decoder.up_blocks.2.resnets.2.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="191314148" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="528" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Add_481" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="347,hidden_states.35">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="529" name="__module.decoder.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="348,349,hidden_states.37">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="98715860" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="531" name="Constant_436282" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="98715868" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="350,input.169">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 256, 3, 3" offset="191315172" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="53,self.decoder.up_blocks.2.upsamplers.0.conv.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="534" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="193674468" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add_486" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="351,input.171">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 256, 1, 1" offset="193675492" size="131072" />
+			<output>
+				<port id="0" precision="FP32" names="43,self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="538" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="539" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="193806564" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Add_512" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="358,input_tensor">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant_489" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant_490" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="544" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape_491" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="Constant_449264" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="193807076" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="549" name="Constant_449265" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="193808100" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="352,input.173">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_493" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="353,input.175">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 256, 3, 3" offset="193809124" size="1179648" />
+			<output>
+				<port id="0" precision="FP32" names="49,self.decoder.up_blocks.3.resnets.0.conv1.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" 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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="194988772" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Add_497" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="354,input.177">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant_500" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="557" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant_501" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Reshape_502" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="Constant_449266" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="194989284" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="564" name="Constant_449267" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="194989796" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="565" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="355,input.179">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="566" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_504" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="356,input.181">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 128, 3, 3" offset="194990308" size="589824" />
+			<output>
+				<port id="0" precision="FP32" names="45,self.decoder.up_blocks.3.resnets.0.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" 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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="195580132" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Add_508" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="357,hidden_states.39">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="__module.decoder.up_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="359,360,input.185">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="572" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant_515" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="573" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant_516" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_517" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="Constant_449268" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="195580644" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="Constant_449269" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="195581156" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="581" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="361,input.187">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_519" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="362,input.189">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="583" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 128, 3, 3" offset="195581668" size="589824" />
+			<output>
+				<port id="0" precision="FP32" names="39,self.decoder.up_blocks.3.resnets.1.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="584" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" 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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="196171492" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="586" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Add_523" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="363,input.191">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="587" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_526" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="588" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_527" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="591" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="592" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_528" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="Constant_449270" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="196172004" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="595" name="Constant_449271" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="196172516" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="364,input.193">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_530" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="365,input.195">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 128, 3, 3" offset="196173028" size="589824" />
+			<output>
+				<port id="0" precision="FP32" names="35,self.decoder.up_blocks.3.resnets.1.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" 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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="196762852" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Add_534" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="366,hidden_states.41">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="602" name="__module.decoder.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="367,368,input.199">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="603" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant_537" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant_538" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="606" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="607" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape_539" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="609" name="Constant_449272" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="196763364" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="611" name="Constant_449273" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="196763876" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="369,input.201">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_541" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="370,input.203">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="614" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 128, 3, 3" offset="196764388" size="589824" />
+			<output>
+				<port id="0" precision="FP32" names="31,self.decoder.up_blocks.3.resnets.2.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" 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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="616" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="197354212" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Add_545" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="371,input.205">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="618" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_548" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_549" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="621" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="623" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape_550" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="624" name="Constant_449274" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="197354724" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="625" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="Constant_449275" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="197355236" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="372,input.207">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_552" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="373,input.209">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 128, 3, 3" offset="197355748" size="589824" />
+			<output>
+				<port id="0" precision="FP32" names="27,self.decoder.up_blocks.3.resnets.2.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" 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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="197945572" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Add_556" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="374,hidden_states">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="633" name="__module.decoder.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="375,376,input.213">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_559" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="75860" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="635" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_560" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="75872" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="637" name="__module.decoder.conv_norm_out/aten::group_norm/MVN" 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>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="__module.decoder.conv_norm_out/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape_561" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="640" name="Constant_449276" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="197946084" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="__module.decoder.conv_norm_out/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="642" name="Constant_449277" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="197946596" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="643" name="__module.decoder.conv_norm_out/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="377,input.215">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="378,input">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="self.decoder.conv_out.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="3, 128, 3, 3" offset="197947108" size="13824" />
+			<output>
+				<port id="0" precision="FP32" names="23,self.decoder.conv_out.weight">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="__module.decoder.conv_out/aten::_convolution/Convolution" 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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="647" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 3, 1, 1" offset="197960932" size="12" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="648" name="__module.decoder.conv_out/aten::_convolution/Add_566" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="sample">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="Result_441053" type="Result" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
+		<edge from-layer="1" from-port="0" to-layer="123" to-port="0" />
+		<edge from-layer="2" from-port="0" to-layer="3" to-port="1" />
+		<edge from-layer="3" from-port="2" to-layer="5" to-port="0" />
+		<edge from-layer="4" from-port="0" to-layer="5" to-port="1" />
+		<edge from-layer="5" from-port="2" to-layer="7" to-port="0" />
+		<edge from-layer="6" from-port="0" to-layer="7" to-port="1" />
+		<edge from-layer="7" from-port="2" to-layer="9" to-port="0" />
+		<edge from-layer="8" from-port="0" to-layer="9" to-port="1" />
+		<edge from-layer="9" from-port="2" to-layer="40" to-port="0" />
+		<edge from-layer="9" from-port="2" to-layer="14" to-port="0" />
+		<edge from-layer="9" from-port="2" to-layer="11" to-port="0" />
+		<edge from-layer="10" from-port="0" to-layer="11" to-port="1" />
+		<edge from-layer="11" from-port="2" to-layer="13" to-port="0" />
+		<edge from-layer="12" from-port="0" to-layer="13" to-port="1" />
+		<edge from-layer="13" from-port="2" to-layer="15" to-port="0" />
+		<edge from-layer="14" from-port="1" to-layer="15" to-port="1" />
+		<edge from-layer="15" from-port="2" to-layer="17" to-port="0" />
+		<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
+		<edge from-layer="17" from-port="2" to-layer="19" to-port="0" />
+		<edge from-layer="18" from-port="0" to-layer="19" to-port="1" />
+		<edge from-layer="19" from-port="2" to-layer="20" to-port="0" />
+		<edge from-layer="20" from-port="1" to-layer="22" to-port="0" />
+		<edge from-layer="21" from-port="0" to-layer="22" to-port="1" />
+		<edge from-layer="22" from-port="2" to-layer="24" to-port="0" />
+		<edge from-layer="23" from-port="0" to-layer="24" to-port="1" />
+		<edge from-layer="24" from-port="2" to-layer="29" to-port="0" />
+		<edge from-layer="24" from-port="2" to-layer="26" to-port="0" />
+		<edge from-layer="25" from-port="0" to-layer="26" to-port="1" />
+		<edge from-layer="26" from-port="2" to-layer="28" to-port="0" />
+		<edge from-layer="27" from-port="0" to-layer="28" to-port="1" />
+		<edge from-layer="28" from-port="2" to-layer="30" to-port="0" />
+		<edge from-layer="29" from-port="1" to-layer="30" to-port="1" />
+		<edge from-layer="30" from-port="2" to-layer="32" to-port="0" />
+		<edge from-layer="31" from-port="0" to-layer="32" to-port="1" />
+		<edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
+		<edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
+		<edge from-layer="34" from-port="2" to-layer="35" to-port="0" />
+		<edge from-layer="35" from-port="1" to-layer="37" to-port="0" />
+		<edge from-layer="36" from-port="0" to-layer="37" to-port="1" />
+		<edge from-layer="37" from-port="2" to-layer="39" to-port="0" />
+		<edge from-layer="38" from-port="0" to-layer="39" to-port="1" />
+		<edge from-layer="39" from-port="2" to-layer="40" to-port="1" />
+		<edge from-layer="40" from-port="2" to-layer="41" to-port="0" />
+		<edge from-layer="40" from-port="2" to-layer="201" to-port="1" />
+		<edge from-layer="40" from-port="2" to-layer="56" to-port="0" />
+		<edge from-layer="41" from-port="1" to-layer="44" to-port="0" />
+		<edge from-layer="41" from-port="1" to-layer="48" to-port="0" />
+		<edge from-layer="41" from-port="1" to-layer="51" to-port="0" />
+		<edge from-layer="42" from-port="0" to-layer="44" to-port="1" />
+		<edge from-layer="43" from-port="0" to-layer="44" to-port="2" />
+		<edge from-layer="44" from-port="3" to-layer="55" to-port="0" />
+		<edge from-layer="45" from-port="0" to-layer="55" to-port="1" />
+		<edge from-layer="46" from-port="0" to-layer="175" to-port="1" />
+		<edge from-layer="46" from-port="0" to-layer="153" to-port="1" />
+		<edge from-layer="46" from-port="0" to-layer="86" to-port="1" />
+		<edge from-layer="46" from-port="0" to-layer="110" to-port="1" />
+		<edge from-layer="46" from-port="0" to-layer="48" to-port="1" />
+		<edge from-layer="47" from-port="0" to-layer="48" to-port="2" />
+		<edge from-layer="48" from-port="3" to-layer="52" to-port="0" />
+		<edge from-layer="48" from-port="3" to-layer="196" to-port="0" />
+		<edge from-layer="49" from-port="0" to-layer="51" to-port="1" />
+		<edge from-layer="50" from-port="0" to-layer="51" to-port="2" />
+		<edge from-layer="51" from-port="3" to-layer="52" to-port="1" />
+		<edge from-layer="51" from-port="3" to-layer="198" to-port="0" />
+		<edge from-layer="52" from-port="2" to-layer="54" to-port="0" />
+		<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
+		<edge from-layer="54" from-port="2" to-layer="55" to-port="2" />
+		<edge from-layer="55" from-port="3" to-layer="56" to-port="1" />
+		<edge from-layer="56" from-port="2" to-layer="58" to-port="0" />
+		<edge from-layer="57" from-port="0" to-layer="58" to-port="1" />
+		<edge from-layer="58" from-port="2" to-layer="190" to-port="0" />
+		<edge from-layer="58" from-port="2" to-layer="60" to-port="0" />
+		<edge from-layer="59" from-port="0" to-layer="60" to-port="1" />
+		<edge from-layer="60" from-port="2" to-layer="62" to-port="0" />
+		<edge from-layer="60" from-port="2" to-layer="65" to-port="0" />
+		<edge from-layer="61" from-port="0" to-layer="62" to-port="1" />
+		<edge from-layer="62" from-port="2" to-layer="64" to-port="0" />
+		<edge from-layer="63" from-port="0" to-layer="64" to-port="1" />
+		<edge from-layer="64" from-port="2" to-layer="66" to-port="0" />
+		<edge from-layer="65" from-port="1" to-layer="66" to-port="1" />
+		<edge from-layer="66" from-port="2" to-layer="68" to-port="0" />
+		<edge from-layer="67" from-port="0" to-layer="68" to-port="1" />
+		<edge from-layer="68" from-port="2" to-layer="70" to-port="0" />
+		<edge from-layer="69" from-port="0" to-layer="70" to-port="1" />
+		<edge from-layer="70" from-port="2" to-layer="97" to-port="0" />
+		<edge from-layer="70" from-port="2" to-layer="140" to-port="0" />
+		<edge from-layer="70" from-port="2" to-layer="72" to-port="0" />
+		<edge from-layer="71" from-port="0" to-layer="72" to-port="1" />
+		<edge from-layer="72" from-port="2" to-layer="74" to-port="0" />
+		<edge from-layer="73" from-port="0" to-layer="74" to-port="1" />
+		<edge from-layer="74" from-port="2" to-layer="91" to-port="0" />
+		<edge from-layer="74" from-port="2" to-layer="75" to-port="0" />
+		<edge from-layer="75" from-port="1" to-layer="78" to-port="0" />
+		<edge from-layer="75" from-port="1" to-layer="83" to-port="0" />
+		<edge from-layer="75" from-port="1" to-layer="86" to-port="0" />
+		<edge from-layer="76" from-port="0" to-layer="78" to-port="1" />
+		<edge from-layer="76" from-port="0" to-layer="166" to-port="1" />
+		<edge from-layer="76" from-port="0" to-layer="145" to-port="1" />
+		<edge from-layer="76" from-port="0" to-layer="102" to-port="1" />
+		<edge from-layer="77" from-port="0" to-layer="78" to-port="2" />
+		<edge from-layer="78" from-port="3" to-layer="80" 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="90" to-port="0" />
+		<edge from-layer="80" from-port="2" to-layer="94" to-port="0" />
+		<edge from-layer="81" from-port="0" to-layer="83" to-port="1" />
+		<edge from-layer="82" from-port="0" to-layer="83" to-port="2" />
+		<edge from-layer="83" from-port="3" to-layer="90" to-port="1" />
+		<edge from-layer="83" from-port="3" to-layer="94" to-port="1" />
+		<edge from-layer="84" from-port="0" to-layer="90" to-port="2" />
+		<edge from-layer="85" from-port="0" to-layer="86" to-port="2" />
+		<edge from-layer="86" from-port="3" to-layer="87" to-port="0" />
+		<edge from-layer="87" from-port="1" to-layer="89" to-port="0" />
+		<edge from-layer="88" from-port="0" to-layer="89" to-port="1" />
+		<edge from-layer="89" from-port="2" to-layer="90" to-port="3" />
+		<edge from-layer="89" from-port="2" to-layer="94" to-port="2" />
+		<edge from-layer="90" from-port="4" to-layer="91" to-port="1" />
+		<edge from-layer="91" from-port="2" to-layer="93" to-port="0" />
+		<edge from-layer="92" from-port="0" to-layer="93" to-port="1" />
+		<edge from-layer="93" from-port="2" to-layer="95" to-port="0" />
+		<edge from-layer="94" from-port="3" to-layer="95" to-port="1" />
+		<edge from-layer="95" from-port="2" to-layer="126" to-port="0" />
+		<edge from-layer="95" from-port="2" to-layer="122" to-port="0" />
+		<edge from-layer="96" from-port="0" to-layer="97" to-port="1" />
+		<edge from-layer="97" from-port="2" to-layer="99" to-port="0" />
+		<edge from-layer="98" from-port="0" to-layer="99" to-port="1" />
+		<edge from-layer="99" from-port="2" to-layer="100" to-port="0" />
+		<edge from-layer="99" from-port="2" to-layer="115" to-port="0" />
+		<edge from-layer="100" from-port="1" to-layer="110" to-port="0" />
+		<edge from-layer="100" from-port="1" to-layer="107" to-port="0" />
+		<edge from-layer="100" from-port="1" to-layer="102" to-port="0" />
+		<edge from-layer="101" from-port="0" to-layer="102" to-port="2" />
+		<edge from-layer="102" from-port="3" to-layer="104" to-port="0" />
+		<edge from-layer="103" from-port="0" to-layer="104" to-port="1" />
+		<edge from-layer="104" from-port="2" to-layer="118" to-port="0" />
+		<edge from-layer="104" from-port="2" to-layer="114" to-port="0" />
+		<edge from-layer="105" from-port="0" to-layer="107" to-port="1" />
+		<edge from-layer="106" from-port="0" to-layer="107" to-port="2" />
+		<edge from-layer="107" from-port="3" to-layer="114" to-port="1" />
+		<edge from-layer="107" from-port="3" to-layer="118" to-port="1" />
+		<edge from-layer="108" from-port="0" to-layer="114" to-port="2" />
+		<edge from-layer="109" from-port="0" to-layer="110" to-port="2" />
+		<edge from-layer="110" from-port="3" to-layer="111" to-port="0" />
+		<edge from-layer="111" from-port="1" to-layer="113" to-port="0" />
+		<edge from-layer="112" from-port="0" to-layer="113" to-port="1" />
+		<edge from-layer="113" from-port="2" to-layer="114" to-port="3" />
+		<edge from-layer="113" from-port="2" to-layer="118" to-port="2" />
+		<edge from-layer="114" from-port="4" to-layer="115" to-port="1" />
+		<edge from-layer="115" from-port="2" to-layer="117" to-port="0" />
+		<edge from-layer="116" from-port="0" to-layer="117" to-port="1" />
+		<edge from-layer="117" from-port="2" to-layer="119" to-port="0" />
+		<edge from-layer="118" from-port="3" to-layer="119" to-port="1" />
+		<edge from-layer="119" from-port="2" to-layer="121" to-port="0" />
+		<edge from-layer="119" from-port="2" to-layer="130" to-port="0" />
+		<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
+		<edge from-layer="121" from-port="2" to-layer="122" to-port="1" />
+		<edge from-layer="122" from-port="2" to-layer="123" to-port="1" />
+		<edge from-layer="123" from-port="2" to-layer="137" to-port="0" />
+		<edge from-layer="123" from-port="2" to-layer="124" to-port="0" />
+		<edge from-layer="124" from-port="1" to-layer="136" to-port="0" />
+		<edge from-layer="125" from-port="0" to-layer="135" to-port="0" />
+		<edge from-layer="126" from-port="1" to-layer="129" to-port="0" />
+		<edge from-layer="127" from-port="0" to-layer="129" to-port="1" />
+		<edge from-layer="128" from-port="0" to-layer="129" to-port="2" />
+		<edge from-layer="129" from-port="3" to-layer="134" to-port="0" />
+		<edge from-layer="130" from-port="1" to-layer="133" to-port="0" />
+		<edge from-layer="131" from-port="0" to-layer="133" to-port="1" />
+		<edge from-layer="132" from-port="0" to-layer="133" to-port="2" />
+		<edge from-layer="133" from-port="3" to-layer="134" to-port="1" />
+		<edge from-layer="134" from-port="2" to-layer="135" to-port="1" />
+		<edge from-layer="135" from-port="2" to-layer="136" to-port="1" />
+		<edge from-layer="136" from-port="2" to-layer="137" to-port="1" />
+		<edge from-layer="137" from-port="2" to-layer="138" to-port="0" />
+		<edge from-layer="138" from-port="1" to-layer="163" to-port="0" />
+		<edge from-layer="139" from-port="0" 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="158" to-port="0" />
+		<edge from-layer="142" from-port="2" to-layer="143" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="153" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="150" to-port="0" />
+		<edge from-layer="143" from-port="1" to-layer="145" to-port="0" />
+		<edge from-layer="144" from-port="0" to-layer="145" to-port="2" />
+		<edge from-layer="145" from-port="3" to-layer="147" to-port="0" />
+		<edge from-layer="146" from-port="0" to-layer="147" to-port="1" />
+		<edge from-layer="147" from-port="2" to-layer="157" to-port="0" />
+		<edge from-layer="147" from-port="2" to-layer="161" to-port="0" />
+		<edge from-layer="148" from-port="0" to-layer="150" to-port="1" />
+		<edge from-layer="149" from-port="0" to-layer="150" to-port="2" />
+		<edge from-layer="150" from-port="3" to-layer="157" to-port="1" />
+		<edge from-layer="150" from-port="3" to-layer="161" to-port="1" />
+		<edge from-layer="151" from-port="0" to-layer="157" to-port="2" />
+		<edge from-layer="152" from-port="0" to-layer="153" to-port="2" />
+		<edge from-layer="153" from-port="3" to-layer="154" to-port="0" />
+		<edge from-layer="154" from-port="1" 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="161" to-port="2" />
+		<edge from-layer="156" from-port="2" to-layer="157" to-port="3" />
+		<edge from-layer="157" from-port="4" to-layer="158" to-port="1" />
+		<edge from-layer="158" from-port="2" to-layer="160" to-port="0" />
+		<edge from-layer="159" from-port="0" to-layer="160" to-port="1" />
+		<edge from-layer="160" from-port="2" to-layer="162" to-port="0" />
+		<edge from-layer="161" from-port="3" to-layer="162" to-port="1" />
+		<edge from-layer="162" from-port="2" to-layer="163" to-port="1" />
+		<edge from-layer="163" from-port="2" to-layer="164" to-port="0" />
+		<edge from-layer="163" from-port="2" to-layer="179" to-port="0" />
+		<edge from-layer="164" from-port="1" to-layer="173" to-port="0" />
+		<edge from-layer="164" from-port="1" to-layer="175" to-port="0" />
+		<edge from-layer="164" from-port="1" to-layer="166" to-port="0" />
+		<edge from-layer="165" from-port="0" to-layer="166" to-port="2" />
+		<edge from-layer="166" from-port="3" to-layer="167" to-port="0" />
+		<edge from-layer="167" from-port="1" 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="178" to-port="0" />
+		<edge from-layer="169" from-port="2" to-layer="182" to-port="0" />
+		<edge from-layer="170" from-port="0" to-layer="178" to-port="1" />
+		<edge from-layer="171" from-port="0" to-layer="173" to-port="1" />
+		<edge from-layer="172" from-port="0" to-layer="173" to-port="2" />
+		<edge from-layer="173" from-port="3" to-layer="182" to-port="1" />
+		<edge from-layer="173" from-port="3" to-layer="178" to-port="2" />
+		<edge from-layer="174" from-port="0" to-layer="175" to-port="2" />
+		<edge from-layer="175" from-port="3" to-layer="177" to-port="0" />
+		<edge from-layer="176" from-port="0" to-layer="177" to-port="1" />
+		<edge from-layer="177" from-port="2" to-layer="182" to-port="2" />
+		<edge from-layer="177" from-port="2" to-layer="178" to-port="3" />
+		<edge from-layer="178" from-port="4" to-layer="179" to-port="1" />
+		<edge from-layer="179" from-port="2" to-layer="181" to-port="0" />
+		<edge from-layer="180" from-port="0" to-layer="181" to-port="1" />
+		<edge from-layer="181" from-port="2" to-layer="183" to-port="0" />
+		<edge from-layer="182" from-port="3" to-layer="183" to-port="1" />
+		<edge from-layer="183" from-port="2" to-layer="185" to-port="0" />
+		<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="0" to-layer="189" to-port="1" />
+		<edge from-layer="189" from-port="2" to-layer="200" to-port="0" />
+		<edge from-layer="190" from-port="1" to-layer="193" to-port="0" />
+		<edge from-layer="191" from-port="0" to-layer="193" to-port="1" />
+		<edge from-layer="192" from-port="0" to-layer="193" to-port="2" />
+		<edge from-layer="193" from-port="3" to-layer="199" to-port="0" />
+		<edge from-layer="194" from-port="0" to-layer="199" to-port="1" />
+		<edge from-layer="195" from-port="0" to-layer="196" to-port="1" />
+		<edge from-layer="196" from-port="2" to-layer="199" to-port="2" />
+		<edge from-layer="197" from-port="0" to-layer="198" to-port="1" />
+		<edge from-layer="198" from-port="2" to-layer="199" to-port="3" />
+		<edge from-layer="199" from-port="4" to-layer="200" to-port="1" />
+		<edge from-layer="200" from-port="2" to-layer="201" to-port="0" />
+		<edge from-layer="201" from-port="2" to-layer="232" to-port="0" />
+		<edge from-layer="201" from-port="2" to-layer="206" to-port="0" />
+		<edge from-layer="201" from-port="2" to-layer="203" to-port="0" />
+		<edge from-layer="202" from-port="0" 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="1" 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="210" from-port="0" to-layer="211" to-port="1" />
+		<edge from-layer="211" from-port="2" to-layer="212" to-port="0" />
+		<edge from-layer="212" from-port="1" to-layer="214" to-port="0" />
+		<edge from-layer="213" from-port="0" to-layer="214" to-port="1" />
+		<edge from-layer="214" from-port="2" to-layer="216" to-port="0" />
+		<edge from-layer="215" from-port="0" to-layer="216" to-port="1" />
+		<edge from-layer="216" from-port="2" to-layer="221" to-port="0" />
+		<edge from-layer="216" from-port="2" to-layer="218" to-port="0" />
+		<edge from-layer="217" from-port="0" to-layer="218" to-port="1" />
+		<edge from-layer="218" from-port="2" to-layer="220" to-port="0" />
+		<edge from-layer="219" from-port="0" 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="1" to-layer="222" to-port="1" />
+		<edge from-layer="222" from-port="2" to-layer="224" to-port="0" />
+		<edge from-layer="223" from-port="0" 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="227" to-port="0" />
+		<edge from-layer="227" from-port="1" to-layer="229" to-port="0" />
+		<edge from-layer="228" from-port="0" to-layer="229" to-port="1" />
+		<edge from-layer="229" from-port="2" to-layer="231" to-port="0" />
+		<edge from-layer="230" from-port="0" to-layer="231" to-port="1" />
+		<edge from-layer="231" from-port="2" to-layer="232" to-port="1" />
+		<edge from-layer="232" from-port="2" to-layer="263" to-port="0" />
+		<edge from-layer="232" from-port="2" to-layer="234" to-port="0" />
+		<edge from-layer="232" from-port="2" to-layer="237" to-port="0" />
+		<edge from-layer="233" from-port="0" to-layer="234" to-port="1" />
+		<edge from-layer="234" from-port="2" to-layer="236" to-port="0" />
+		<edge from-layer="235" from-port="0" to-layer="236" to-port="1" />
+		<edge from-layer="236" from-port="2" to-layer="238" 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="240" to-port="0" />
+		<edge from-layer="239" from-port="0" to-layer="240" to-port="1" />
+		<edge from-layer="240" from-port="2" to-layer="242" to-port="0" />
+		<edge from-layer="241" from-port="0" to-layer="242" to-port="1" />
+		<edge from-layer="242" from-port="2" to-layer="243" to-port="0" />
+		<edge from-layer="243" from-port="1" to-layer="245" to-port="0" />
+		<edge from-layer="244" from-port="0" to-layer="245" to-port="1" />
+		<edge from-layer="245" from-port="2" to-layer="247" to-port="0" />
+		<edge from-layer="246" from-port="0" to-layer="247" to-port="1" />
+		<edge from-layer="247" from-port="2" to-layer="249" to-port="0" />
+		<edge from-layer="247" from-port="2" to-layer="252" to-port="0" />
+		<edge from-layer="248" from-port="0" to-layer="249" to-port="1" />
+		<edge from-layer="249" from-port="2" to-layer="251" to-port="0" />
+		<edge from-layer="250" from-port="0" to-layer="251" to-port="1" />
+		<edge from-layer="251" from-port="2" to-layer="253" to-port="0" />
+		<edge from-layer="252" from-port="1" to-layer="253" to-port="1" />
+		<edge from-layer="253" from-port="2" to-layer="255" to-port="0" />
+		<edge from-layer="254" from-port="0" to-layer="255" to-port="1" />
+		<edge from-layer="255" from-port="2" to-layer="257" to-port="0" />
+		<edge from-layer="256" from-port="0" to-layer="257" to-port="1" />
+		<edge from-layer="257" from-port="2" to-layer="258" to-port="0" />
+		<edge from-layer="258" from-port="1" to-layer="260" to-port="0" />
+		<edge from-layer="259" from-port="0" to-layer="260" to-port="1" />
+		<edge from-layer="260" from-port="2" to-layer="262" to-port="0" />
+		<edge from-layer="261" from-port="0" to-layer="262" to-port="1" />
+		<edge from-layer="262" from-port="2" to-layer="263" to-port="1" />
+		<edge from-layer="263" from-port="2" to-layer="294" to-port="0" />
+		<edge from-layer="263" from-port="2" to-layer="268" to-port="0" />
+		<edge from-layer="263" from-port="2" to-layer="265" to-port="0" />
+		<edge from-layer="264" from-port="0" to-layer="265" to-port="1" />
+		<edge from-layer="265" from-port="2" to-layer="267" to-port="0" />
+		<edge from-layer="266" from-port="0" to-layer="267" to-port="1" />
+		<edge from-layer="267" from-port="2" to-layer="269" to-port="0" />
+		<edge from-layer="268" from-port="1" to-layer="269" to-port="1" />
+		<edge from-layer="269" from-port="2" to-layer="271" to-port="0" />
+		<edge from-layer="270" from-port="0" 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="276" to-port="0" />
+		<edge from-layer="275" from-port="0" to-layer="276" to-port="1" />
+		<edge from-layer="276" from-port="2" to-layer="278" to-port="0" />
+		<edge from-layer="277" from-port="0" to-layer="278" to-port="1" />
+		<edge from-layer="278" from-port="2" to-layer="280" to-port="0" />
+		<edge from-layer="278" from-port="2" to-layer="283" to-port="0" />
+		<edge from-layer="279" from-port="0" 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="1" to-layer="284" to-port="1" />
+		<edge from-layer="284" from-port="2" to-layer="286" to-port="0" />
+		<edge from-layer="285" from-port="0" to-layer="286" to-port="1" />
+		<edge from-layer="286" from-port="2" to-layer="288" to-port="0" />
+		<edge from-layer="287" from-port="0" to-layer="288" to-port="1" />
+		<edge from-layer="288" from-port="2" to-layer="289" to-port="0" />
+		<edge from-layer="289" from-port="1" 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="293" to-port="0" />
+		<edge from-layer="292" from-port="0" 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="299" to-port="0" />
+		<edge from-layer="294" from-port="2" to-layer="296" to-port="0" />
+		<edge from-layer="294" from-port="2" to-layer="325" to-port="0" />
+		<edge from-layer="295" from-port="0" to-layer="296" to-port="1" />
+		<edge from-layer="296" from-port="2" to-layer="298" to-port="0" />
+		<edge from-layer="297" from-port="0" to-layer="298" to-port="1" />
+		<edge from-layer="298" from-port="2" to-layer="300" to-port="0" />
+		<edge from-layer="299" from-port="1" to-layer="300" to-port="1" />
+		<edge from-layer="300" from-port="2" to-layer="302" to-port="0" />
+		<edge from-layer="301" from-port="0" to-layer="302" to-port="1" />
+		<edge from-layer="302" from-port="2" to-layer="304" to-port="0" />
+		<edge from-layer="303" from-port="0" to-layer="304" to-port="1" />
+		<edge from-layer="304" from-port="2" to-layer="305" to-port="0" />
+		<edge from-layer="305" from-port="1" to-layer="307" to-port="0" />
+		<edge from-layer="306" from-port="0" to-layer="307" to-port="1" />
+		<edge from-layer="307" from-port="2" to-layer="309" to-port="0" />
+		<edge from-layer="308" from-port="0" to-layer="309" to-port="1" />
+		<edge from-layer="309" from-port="2" to-layer="311" to-port="0" />
+		<edge from-layer="309" from-port="2" to-layer="314" to-port="0" />
+		<edge from-layer="310" from-port="0" to-layer="311" to-port="1" />
+		<edge from-layer="311" from-port="2" to-layer="313" to-port="0" />
+		<edge from-layer="312" from-port="0" to-layer="313" to-port="1" />
+		<edge from-layer="313" from-port="2" to-layer="315" to-port="0" />
+		<edge from-layer="314" from-port="1" to-layer="315" to-port="1" />
+		<edge from-layer="315" from-port="2" to-layer="317" to-port="0" />
+		<edge from-layer="316" from-port="0" to-layer="317" to-port="1" />
+		<edge from-layer="317" from-port="2" to-layer="319" to-port="0" />
+		<edge from-layer="318" from-port="0" to-layer="319" to-port="1" />
+		<edge from-layer="319" from-port="2" to-layer="320" to-port="0" />
+		<edge from-layer="320" from-port="1" to-layer="322" to-port="0" />
+		<edge from-layer="321" from-port="0" to-layer="322" to-port="1" />
+		<edge from-layer="322" from-port="2" to-layer="324" to-port="0" />
+		<edge from-layer="323" from-port="0" to-layer="324" to-port="1" />
+		<edge from-layer="324" from-port="2" to-layer="325" to-port="1" />
+		<edge from-layer="325" from-port="2" to-layer="328" to-port="0" />
+		<edge from-layer="326" from-port="0" to-layer="328" to-port="1" />
+		<edge from-layer="327" from-port="0" to-layer="328" to-port="2" />
+		<edge from-layer="328" from-port="3" to-layer="330" to-port="0" />
+		<edge from-layer="329" from-port="0" to-layer="330" to-port="1" />
+		<edge from-layer="330" from-port="2" to-layer="332" to-port="0" />
+		<edge from-layer="331" from-port="0" to-layer="332" to-port="1" />
+		<edge from-layer="332" from-port="2" to-layer="363" to-port="0" />
+		<edge from-layer="332" from-port="2" to-layer="337" to-port="0" />
+		<edge from-layer="332" from-port="2" to-layer="334" to-port="0" />
+		<edge from-layer="333" from-port="0" to-layer="334" to-port="1" />
+		<edge from-layer="334" from-port="2" to-layer="336" to-port="0" />
+		<edge from-layer="335" from-port="0" 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="1" to-layer="338" to-port="1" />
+		<edge from-layer="338" from-port="2" to-layer="340" to-port="0" />
+		<edge from-layer="339" from-port="0" 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="343" to-port="0" />
+		<edge from-layer="343" from-port="1" to-layer="345" to-port="0" />
+		<edge from-layer="344" from-port="0" to-layer="345" to-port="1" />
+		<edge from-layer="345" from-port="2" to-layer="347" to-port="0" />
+		<edge from-layer="346" from-port="0" to-layer="347" to-port="1" />
+		<edge from-layer="347" from-port="2" to-layer="349" to-port="0" />
+		<edge from-layer="347" from-port="2" to-layer="352" to-port="0" />
+		<edge from-layer="348" from-port="0" to-layer="349" to-port="1" />
+		<edge from-layer="349" from-port="2" to-layer="351" to-port="0" />
+		<edge from-layer="350" from-port="0" to-layer="351" to-port="1" />
+		<edge from-layer="351" from-port="2" to-layer="353" to-port="0" />
+		<edge from-layer="352" from-port="1" to-layer="353" to-port="1" />
+		<edge from-layer="353" from-port="2" to-layer="355" to-port="0" />
+		<edge from-layer="354" from-port="0" to-layer="355" to-port="1" />
+		<edge from-layer="355" from-port="2" to-layer="357" to-port="0" />
+		<edge from-layer="356" from-port="0" to-layer="357" to-port="1" />
+		<edge from-layer="357" from-port="2" to-layer="358" to-port="0" />
+		<edge from-layer="358" from-port="1" to-layer="360" to-port="0" />
+		<edge from-layer="359" from-port="0" to-layer="360" to-port="1" />
+		<edge from-layer="360" from-port="2" to-layer="362" to-port="0" />
+		<edge from-layer="361" from-port="0" to-layer="362" to-port="1" />
+		<edge from-layer="362" from-port="2" to-layer="363" to-port="1" />
+		<edge from-layer="363" from-port="2" to-layer="394" to-port="0" />
+		<edge from-layer="363" from-port="2" to-layer="368" to-port="0" />
+		<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="367" to-port="0" />
+		<edge from-layer="366" from-port="0" to-layer="367" to-port="1" />
+		<edge from-layer="367" from-port="2" to-layer="369" to-port="0" />
+		<edge from-layer="368" from-port="1" to-layer="369" to-port="1" />
+		<edge from-layer="369" from-port="2" to-layer="371" to-port="0" />
+		<edge from-layer="370" from-port="0" to-layer="371" to-port="1" />
+		<edge from-layer="371" from-port="2" to-layer="373" to-port="0" />
+		<edge from-layer="372" from-port="0" to-layer="373" to-port="1" />
+		<edge from-layer="373" from-port="2" to-layer="374" to-port="0" />
+		<edge from-layer="374" from-port="1" to-layer="376" to-port="0" />
+		<edge from-layer="375" from-port="0" to-layer="376" to-port="1" />
+		<edge from-layer="376" from-port="2" to-layer="378" to-port="0" />
+		<edge from-layer="377" from-port="0" to-layer="378" to-port="1" />
+		<edge from-layer="378" from-port="2" to-layer="383" to-port="0" />
+		<edge from-layer="378" from-port="2" to-layer="380" to-port="0" />
+		<edge from-layer="379" from-port="0" to-layer="380" to-port="1" />
+		<edge from-layer="380" from-port="2" to-layer="382" to-port="0" />
+		<edge from-layer="381" from-port="0" to-layer="382" to-port="1" />
+		<edge from-layer="382" from-port="2" to-layer="384" to-port="0" />
+		<edge from-layer="383" from-port="1" to-layer="384" to-port="1" />
+		<edge from-layer="384" from-port="2" to-layer="386" to-port="0" />
+		<edge from-layer="385" from-port="0" to-layer="386" to-port="1" />
+		<edge from-layer="386" from-port="2" to-layer="388" to-port="0" />
+		<edge from-layer="387" from-port="0" to-layer="388" to-port="1" />
+		<edge from-layer="388" from-port="2" to-layer="389" to-port="0" />
+		<edge from-layer="389" from-port="1" to-layer="391" to-port="0" />
+		<edge from-layer="390" from-port="0" to-layer="391" to-port="1" />
+		<edge from-layer="391" from-port="2" to-layer="393" to-port="0" />
+		<edge from-layer="392" from-port="0" to-layer="393" to-port="1" />
+		<edge from-layer="393" from-port="2" to-layer="394" to-port="1" />
+		<edge from-layer="394" from-port="2" to-layer="399" to-port="0" />
+		<edge from-layer="394" from-port="2" to-layer="425" to-port="0" />
+		<edge from-layer="394" from-port="2" to-layer="396" to-port="0" />
+		<edge from-layer="395" from-port="0" to-layer="396" to-port="1" />
+		<edge from-layer="396" from-port="2" to-layer="398" to-port="0" />
+		<edge from-layer="397" from-port="0" to-layer="398" to-port="1" />
+		<edge from-layer="398" from-port="2" to-layer="400" to-port="0" />
+		<edge from-layer="399" from-port="1" to-layer="400" to-port="1" />
+		<edge from-layer="400" from-port="2" to-layer="402" to-port="0" />
+		<edge from-layer="401" from-port="0" to-layer="402" to-port="1" />
+		<edge from-layer="402" from-port="2" 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="405" to-port="0" />
+		<edge from-layer="405" from-port="1" to-layer="407" to-port="0" />
+		<edge from-layer="406" from-port="0" to-layer="407" to-port="1" />
+		<edge from-layer="407" from-port="2" to-layer="409" to-port="0" />
+		<edge from-layer="408" from-port="0" to-layer="409" to-port="1" />
+		<edge from-layer="409" from-port="2" to-layer="414" to-port="0" />
+		<edge from-layer="409" from-port="2" to-layer="411" to-port="0" />
+		<edge from-layer="410" from-port="0" to-layer="411" to-port="1" />
+		<edge from-layer="411" from-port="2" to-layer="413" to-port="0" />
+		<edge from-layer="412" from-port="0" to-layer="413" to-port="1" />
+		<edge from-layer="413" from-port="2" to-layer="415" to-port="0" />
+		<edge from-layer="414" from-port="1" to-layer="415" to-port="1" />
+		<edge from-layer="415" from-port="2" to-layer="417" to-port="0" />
+		<edge from-layer="416" from-port="0" to-layer="417" to-port="1" />
+		<edge from-layer="417" from-port="2" to-layer="419" to-port="0" />
+		<edge from-layer="418" from-port="0" to-layer="419" to-port="1" />
+		<edge from-layer="419" from-port="2" to-layer="420" to-port="0" />
+		<edge from-layer="420" from-port="1" to-layer="422" to-port="0" />
+		<edge from-layer="421" from-port="0" to-layer="422" to-port="1" />
+		<edge from-layer="422" from-port="2" to-layer="424" to-port="0" />
+		<edge from-layer="423" from-port="0" to-layer="424" to-port="1" />
+		<edge from-layer="424" from-port="2" to-layer="425" to-port="1" />
+		<edge from-layer="425" from-port="2" to-layer="428" to-port="0" />
+		<edge from-layer="426" from-port="0" to-layer="428" to-port="1" />
+		<edge from-layer="427" from-port="0" to-layer="428" to-port="2" />
+		<edge from-layer="428" from-port="3" to-layer="430" to-port="0" />
+		<edge from-layer="429" from-port="0" to-layer="430" to-port="1" />
+		<edge from-layer="430" from-port="2" 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="441" to-port="0" />
+		<edge from-layer="432" from-port="2" to-layer="438" to-port="0" />
+		<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="436" to-port="0" />
+		<edge from-layer="435" from-port="0" to-layer="436" to-port="1" />
+		<edge from-layer="436" from-port="2" to-layer="467" 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="440" to-port="0" />
+		<edge from-layer="439" from-port="0" to-layer="440" to-port="1" />
+		<edge from-layer="440" from-port="2" to-layer="442" to-port="0" />
+		<edge from-layer="441" from-port="1" to-layer="442" to-port="1" />
+		<edge from-layer="442" from-port="2" to-layer="444" 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="447" to-port="0" />
+		<edge from-layer="447" from-port="1" to-layer="449" to-port="0" />
+		<edge from-layer="448" from-port="0" to-layer="449" to-port="1" />
+		<edge from-layer="449" from-port="2" to-layer="451" to-port="0" />
+		<edge from-layer="450" from-port="0" to-layer="451" to-port="1" />
+		<edge from-layer="451" from-port="2" to-layer="453" to-port="0" />
+		<edge from-layer="451" from-port="2" to-layer="456" to-port="0" />
+		<edge from-layer="452" from-port="0" to-layer="453" to-port="1" />
+		<edge from-layer="453" from-port="2" to-layer="455" to-port="0" />
+		<edge from-layer="454" from-port="0" to-layer="455" to-port="1" />
+		<edge from-layer="455" from-port="2" to-layer="457" to-port="0" />
+		<edge from-layer="456" from-port="1" to-layer="457" to-port="1" />
+		<edge from-layer="457" from-port="2" to-layer="459" to-port="0" />
+		<edge from-layer="458" from-port="0" to-layer="459" to-port="1" />
+		<edge from-layer="459" from-port="2" to-layer="461" to-port="0" />
+		<edge from-layer="460" from-port="0" to-layer="461" to-port="1" />
+		<edge from-layer="461" from-port="2" to-layer="462" to-port="0" />
+		<edge from-layer="462" from-port="1" to-layer="464" to-port="0" />
+		<edge from-layer="463" from-port="0" to-layer="464" to-port="1" />
+		<edge from-layer="464" from-port="2" to-layer="466" to-port="0" />
+		<edge from-layer="465" from-port="0" to-layer="466" to-port="1" />
+		<edge from-layer="466" from-port="2" to-layer="467" to-port="1" />
+		<edge from-layer="467" from-port="2" to-layer="498" to-port="0" />
+		<edge from-layer="467" from-port="2" to-layer="472" to-port="0" />
+		<edge from-layer="467" from-port="2" to-layer="469" to-port="0" />
+		<edge from-layer="468" from-port="0" to-layer="469" to-port="1" />
+		<edge from-layer="469" from-port="2" to-layer="471" to-port="0" />
+		<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
+		<edge from-layer="471" from-port="2" to-layer="473" to-port="0" />
+		<edge from-layer="472" from-port="1" to-layer="473" to-port="1" />
+		<edge from-layer="473" from-port="2" to-layer="475" to-port="0" />
+		<edge from-layer="474" from-port="0" to-layer="475" to-port="1" />
+		<edge from-layer="475" from-port="2" to-layer="477" to-port="0" />
+		<edge from-layer="476" from-port="0" to-layer="477" to-port="1" />
+		<edge from-layer="477" from-port="2" to-layer="478" to-port="0" />
+		<edge from-layer="478" from-port="1" 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="482" to-port="0" />
+		<edge from-layer="481" from-port="0" to-layer="482" to-port="1" />
+		<edge from-layer="482" from-port="2" to-layer="487" to-port="0" />
+		<edge from-layer="482" from-port="2" to-layer="484" to-port="0" />
+		<edge from-layer="483" from-port="0" to-layer="484" to-port="1" />
+		<edge from-layer="484" from-port="2" to-layer="486" to-port="0" />
+		<edge from-layer="485" from-port="0" to-layer="486" to-port="1" />
+		<edge from-layer="486" from-port="2" to-layer="488" to-port="0" />
+		<edge from-layer="487" from-port="1" to-layer="488" to-port="1" />
+		<edge from-layer="488" from-port="2" to-layer="490" to-port="0" />
+		<edge from-layer="489" from-port="0" to-layer="490" to-port="1" />
+		<edge from-layer="490" from-port="2" to-layer="492" to-port="0" />
+		<edge from-layer="491" from-port="0" to-layer="492" to-port="1" />
+		<edge from-layer="492" from-port="2" to-layer="493" to-port="0" />
+		<edge from-layer="493" from-port="1" to-layer="495" to-port="0" />
+		<edge from-layer="494" from-port="0" to-layer="495" to-port="1" />
+		<edge from-layer="495" from-port="2" to-layer="497" to-port="0" />
+		<edge from-layer="496" from-port="0" to-layer="497" to-port="1" />
+		<edge from-layer="497" from-port="2" to-layer="498" to-port="1" />
+		<edge from-layer="498" from-port="2" to-layer="529" to-port="0" />
+		<edge from-layer="498" from-port="2" to-layer="503" to-port="0" />
+		<edge from-layer="498" from-port="2" to-layer="500" to-port="0" />
+		<edge from-layer="499" from-port="0" to-layer="500" to-port="1" />
+		<edge from-layer="500" from-port="2" to-layer="502" to-port="0" />
+		<edge from-layer="501" from-port="0" 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="1" to-layer="504" to-port="1" />
+		<edge from-layer="504" from-port="2" to-layer="506" to-port="0" />
+		<edge from-layer="505" from-port="0" to-layer="506" to-port="1" />
+		<edge from-layer="506" from-port="2" to-layer="508" to-port="0" />
+		<edge from-layer="507" from-port="0" to-layer="508" to-port="1" />
+		<edge from-layer="508" from-port="2" to-layer="509" to-port="0" />
+		<edge from-layer="509" from-port="1" 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="513" from-port="2" to-layer="518" 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="517" to-port="0" />
+		<edge from-layer="516" from-port="0" to-layer="517" to-port="1" />
+		<edge from-layer="517" from-port="2" to-layer="519" to-port="0" />
+		<edge from-layer="518" from-port="1" to-layer="519" to-port="1" />
+		<edge from-layer="519" from-port="2" to-layer="521" to-port="0" />
+		<edge from-layer="520" from-port="0" to-layer="521" to-port="1" />
+		<edge from-layer="521" from-port="2" to-layer="523" to-port="0" />
+		<edge from-layer="522" from-port="0" to-layer="523" to-port="1" />
+		<edge from-layer="523" from-port="2" to-layer="524" to-port="0" />
+		<edge from-layer="524" from-port="1" to-layer="526" to-port="0" />
+		<edge from-layer="525" from-port="0" to-layer="526" to-port="1" />
+		<edge from-layer="526" from-port="2" to-layer="528" to-port="0" />
+		<edge from-layer="527" from-port="0" to-layer="528" to-port="1" />
+		<edge from-layer="528" from-port="2" to-layer="529" to-port="1" />
+		<edge from-layer="529" from-port="2" to-layer="532" to-port="0" />
+		<edge from-layer="530" from-port="0" to-layer="532" to-port="1" />
+		<edge from-layer="531" from-port="0" to-layer="532" to-port="2" />
+		<edge from-layer="532" from-port="3" to-layer="534" to-port="0" />
+		<edge from-layer="533" from-port="0" to-layer="534" to-port="1" />
+		<edge from-layer="534" from-port="2" to-layer="536" to-port="0" />
+		<edge from-layer="535" from-port="0" to-layer="536" to-port="1" />
+		<edge from-layer="536" from-port="2" to-layer="538" to-port="0" />
+		<edge from-layer="536" from-port="2" to-layer="542" to-port="0" />
+		<edge from-layer="536" from-port="2" to-layer="545" to-port="0" />
+		<edge from-layer="537" from-port="0" to-layer="538" to-port="1" />
+		<edge from-layer="538" from-port="2" to-layer="540" to-port="0" />
+		<edge from-layer="539" from-port="0" to-layer="540" to-port="1" />
+		<edge from-layer="540" from-port="2" to-layer="571" to-port="0" />
+		<edge from-layer="541" from-port="0" 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="546" 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="551" to-port="0" />
+		<edge from-layer="551" from-port="1" to-layer="553" to-port="0" />
+		<edge from-layer="552" from-port="0" to-layer="553" to-port="1" />
+		<edge from-layer="553" from-port="2" to-layer="555" to-port="0" />
+		<edge from-layer="554" from-port="0" to-layer="555" to-port="1" />
+		<edge from-layer="555" from-port="2" to-layer="557" to-port="0" />
+		<edge from-layer="555" from-port="2" to-layer="560" to-port="0" />
+		<edge from-layer="556" from-port="0" to-layer="557" to-port="1" />
+		<edge from-layer="557" from-port="2" to-layer="559" to-port="0" />
+		<edge from-layer="558" from-port="0" to-layer="559" to-port="1" />
+		<edge from-layer="559" from-port="2" to-layer="561" to-port="0" />
+		<edge from-layer="560" from-port="1" to-layer="561" to-port="1" />
+		<edge from-layer="561" from-port="2" to-layer="563" to-port="0" />
+		<edge from-layer="562" from-port="0" to-layer="563" to-port="1" />
+		<edge from-layer="563" from-port="2" to-layer="565" to-port="0" />
+		<edge from-layer="564" from-port="0" to-layer="565" to-port="1" />
+		<edge from-layer="565" from-port="2" to-layer="566" to-port="0" />
+		<edge from-layer="566" from-port="1" to-layer="568" to-port="0" />
+		<edge from-layer="567" from-port="0" to-layer="568" to-port="1" />
+		<edge from-layer="568" from-port="2" to-layer="570" to-port="0" />
+		<edge from-layer="569" from-port="0" to-layer="570" to-port="1" />
+		<edge from-layer="570" from-port="2" to-layer="571" to-port="1" />
+		<edge from-layer="571" from-port="2" to-layer="602" to-port="0" />
+		<edge from-layer="571" from-port="2" to-layer="576" to-port="0" />
+		<edge from-layer="571" from-port="2" to-layer="573" to-port="0" />
+		<edge from-layer="572" from-port="0" to-layer="573" to-port="1" />
+		<edge from-layer="573" from-port="2" to-layer="575" to-port="0" />
+		<edge from-layer="574" from-port="0" to-layer="575" to-port="1" />
+		<edge from-layer="575" from-port="2" to-layer="577" to-port="0" />
+		<edge from-layer="576" from-port="1" to-layer="577" to-port="1" />
+		<edge from-layer="577" from-port="2" to-layer="579" to-port="0" />
+		<edge from-layer="578" from-port="0" to-layer="579" to-port="1" />
+		<edge from-layer="579" from-port="2" to-layer="581" to-port="0" />
+		<edge from-layer="580" from-port="0" to-layer="581" to-port="1" />
+		<edge from-layer="581" from-port="2" to-layer="582" to-port="0" />
+		<edge from-layer="582" from-port="1" to-layer="584" to-port="0" />
+		<edge from-layer="583" from-port="0" to-layer="584" to-port="1" />
+		<edge from-layer="584" from-port="2" to-layer="586" to-port="0" />
+		<edge from-layer="585" from-port="0" to-layer="586" to-port="1" />
+		<edge from-layer="586" from-port="2" to-layer="588" to-port="0" />
+		<edge from-layer="586" from-port="2" to-layer="591" to-port="0" />
+		<edge from-layer="587" from-port="0" to-layer="588" to-port="1" />
+		<edge from-layer="588" from-port="2" to-layer="590" to-port="0" />
+		<edge from-layer="589" from-port="0" to-layer="590" to-port="1" />
+		<edge from-layer="590" from-port="2" to-layer="592" to-port="0" />
+		<edge from-layer="591" from-port="1" to-layer="592" to-port="1" />
+		<edge from-layer="592" from-port="2" to-layer="594" to-port="0" />
+		<edge from-layer="593" from-port="0" to-layer="594" to-port="1" />
+		<edge from-layer="594" from-port="2" to-layer="596" to-port="0" />
+		<edge from-layer="595" from-port="0" to-layer="596" to-port="1" />
+		<edge from-layer="596" from-port="2" to-layer="597" to-port="0" />
+		<edge from-layer="597" from-port="1" 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="602" from-port="2" to-layer="607" to-port="0" />
+		<edge from-layer="602" from-port="2" to-layer="633" 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="608" to-port="0" />
+		<edge from-layer="607" from-port="1" to-layer="608" to-port="1" />
+		<edge from-layer="608" from-port="2" to-layer="610" to-port="0" />
+		<edge from-layer="609" from-port="0" to-layer="610" to-port="1" />
+		<edge from-layer="610" from-port="2" to-layer="612" to-port="0" />
+		<edge from-layer="611" from-port="0" to-layer="612" to-port="1" />
+		<edge from-layer="612" from-port="2" to-layer="613" to-port="0" />
+		<edge from-layer="613" from-port="1" to-layer="615" to-port="0" />
+		<edge from-layer="614" from-port="0" to-layer="615" to-port="1" />
+		<edge from-layer="615" from-port="2" to-layer="617" to-port="0" />
+		<edge from-layer="616" from-port="0" to-layer="617" to-port="1" />
+		<edge from-layer="617" from-port="2" to-layer="619" to-port="0" />
+		<edge from-layer="617" from-port="2" to-layer="622" 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="1" to-layer="623" to-port="1" />
+		<edge from-layer="623" from-port="2" to-layer="625" to-port="0" />
+		<edge from-layer="624" from-port="0" to-layer="625" to-port="1" />
+		<edge from-layer="625" from-port="2" to-layer="627" to-port="0" />
+		<edge from-layer="626" from-port="0" to-layer="627" to-port="1" />
+		<edge from-layer="627" from-port="2" to-layer="628" to-port="0" />
+		<edge from-layer="628" from-port="1" 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="632" to-port="0" />
+		<edge from-layer="631" from-port="0" to-layer="632" to-port="1" />
+		<edge from-layer="632" from-port="2" to-layer="633" to-port="1" />
+		<edge from-layer="633" from-port="2" to-layer="635" to-port="0" />
+		<edge from-layer="633" from-port="2" to-layer="638" to-port="0" />
+		<edge from-layer="634" from-port="0" to-layer="635" to-port="1" />
+		<edge from-layer="635" from-port="2" to-layer="637" to-port="0" />
+		<edge from-layer="636" from-port="0" to-layer="637" to-port="1" />
+		<edge from-layer="637" from-port="2" to-layer="639" to-port="0" />
+		<edge from-layer="638" from-port="1" to-layer="639" to-port="1" />
+		<edge from-layer="639" from-port="2" to-layer="641" to-port="0" />
+		<edge from-layer="640" from-port="0" to-layer="641" to-port="1" />
+		<edge from-layer="641" from-port="2" to-layer="643" to-port="0" />
+		<edge from-layer="642" from-port="0" to-layer="643" to-port="1" />
+		<edge from-layer="643" from-port="2" to-layer="644" to-port="0" />
+		<edge from-layer="644" from-port="1" to-layer="646" to-port="0" />
+		<edge from-layer="645" from-port="0" to-layer="646" to-port="1" />
+		<edge from-layer="646" from-port="2" to-layer="648" to-port="0" />
+		<edge from-layer="647" from-port="0" to-layer="648" to-port="1" />
+		<edge from-layer="648" from-port="2" to-layer="649" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2023.2.0-13089-cfd42bd2cb0-HEAD" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+	</rt_info>
+</net>