Commit
•
19cbfee
1
Parent(s):
4b7d104
Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json
CHANGED
@@ -6,17 +6,19 @@
|
|
6 |
"version": "2.3.0+cpu",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "image-classification",
|
9 |
-
"library": "transformers",
|
10 |
"model": "google/vit-base-patch16-224",
|
11 |
-
"
|
12 |
"device": "cpu",
|
13 |
"device_ids": null,
|
14 |
"seed": 42,
|
15 |
"inter_op_num_threads": null,
|
16 |
"intra_op_num_threads": null,
|
17 |
-
"
|
18 |
-
|
19 |
-
|
|
|
|
|
|
|
20 |
"no_weights": true,
|
21 |
"device_map": null,
|
22 |
"torch_dtype": null,
|
@@ -71,17 +73,17 @@
|
|
71 |
"environment": {
|
72 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
73 |
"cpu_count": 4,
|
74 |
-
"cpu_ram_mb": 16757.
|
75 |
"system": "Linux",
|
76 |
"machine": "x86_64",
|
77 |
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
|
78 |
"processor": "x86_64",
|
79 |
"python_version": "3.10.14",
|
80 |
"optimum_benchmark_version": "0.2.0",
|
81 |
-
"optimum_benchmark_commit": "
|
82 |
"transformers_version": "4.40.2",
|
83 |
"transformers_commit": null,
|
84 |
-
"accelerate_version": "0.30.
|
85 |
"accelerate_commit": null,
|
86 |
"diffusers_version": "0.27.2",
|
87 |
"diffusers_commit": null,
|
@@ -97,7 +99,7 @@
|
|
97 |
"forward": {
|
98 |
"memory": {
|
99 |
"unit": "MB",
|
100 |
-
"max_ram":
|
101 |
"max_global_vram": null,
|
102 |
"max_process_vram": null,
|
103 |
"max_reserved": null,
|
@@ -105,34 +107,35 @@
|
|
105 |
},
|
106 |
"latency": {
|
107 |
"unit": "s",
|
108 |
-
"count":
|
109 |
-
"total": 1.
|
110 |
-
"mean": 0.
|
111 |
-
"stdev": 0.
|
112 |
-
"p50": 0.
|
113 |
-
"p90": 0.
|
114 |
-
"p95": 0.
|
115 |
-
"p99": 0.
|
116 |
"values": [
|
117 |
-
0.
|
118 |
-
0.
|
119 |
-
0.
|
|
|
120 |
]
|
121 |
},
|
122 |
"throughput": {
|
123 |
"unit": "samples/s",
|
124 |
-
"value":
|
125 |
},
|
126 |
"energy": {
|
127 |
"unit": "kWh",
|
128 |
-
"cpu":
|
129 |
-
"ram":
|
130 |
"gpu": 0.0,
|
131 |
-
"total":
|
132 |
},
|
133 |
"efficiency": {
|
134 |
"unit": "samples/kWh",
|
135 |
-
"value":
|
136 |
}
|
137 |
}
|
138 |
}
|
|
|
6 |
"version": "2.3.0+cpu",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "image-classification",
|
|
|
9 |
"model": "google/vit-base-patch16-224",
|
10 |
+
"library": "transformers",
|
11 |
"device": "cpu",
|
12 |
"device_ids": null,
|
13 |
"seed": 42,
|
14 |
"inter_op_num_threads": null,
|
15 |
"intra_op_num_threads": null,
|
16 |
+
"hub_kwargs": {
|
17 |
+
"revision": "main",
|
18 |
+
"force_download": false,
|
19 |
+
"local_files_only": false,
|
20 |
+
"trust_remote_code": false
|
21 |
+
},
|
22 |
"no_weights": true,
|
23 |
"device_map": null,
|
24 |
"torch_dtype": null,
|
|
|
73 |
"environment": {
|
74 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
75 |
"cpu_count": 4,
|
76 |
+
"cpu_ram_mb": 16757.346304,
|
77 |
"system": "Linux",
|
78 |
"machine": "x86_64",
|
79 |
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.2.0",
|
83 |
+
"optimum_benchmark_commit": "217063f5c507ed7cc255df7e1f64c4333a0b4dfe",
|
84 |
"transformers_version": "4.40.2",
|
85 |
"transformers_commit": null,
|
86 |
+
"accelerate_version": "0.30.1",
|
87 |
"accelerate_commit": null,
|
88 |
"diffusers_version": "0.27.2",
|
89 |
"diffusers_commit": null,
|
|
|
99 |
"forward": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 798.343168,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
107 |
},
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
+
"count": 4,
|
111 |
+
"total": 1.0533364399999527,
|
112 |
+
"mean": 0.2633341099999882,
|
113 |
+
"stdev": 0.004784268207993718,
|
114 |
+
"p50": 0.2642811754999741,
|
115 |
+
"p90": 0.26785946090000723,
|
116 |
+
"p95": 0.2683951734500141,
|
117 |
+
"p99": 0.26882374349001964,
|
118 |
"values": [
|
119 |
+
0.268930886000021,
|
120 |
+
0.2632028819999732,
|
121 |
+
0.265359468999975,
|
122 |
+
0.25584320299998353
|
123 |
]
|
124 |
},
|
125 |
"throughput": {
|
126 |
"unit": "samples/s",
|
127 |
+
"value": 3.7974571543353988
|
128 |
},
|
129 |
"energy": {
|
130 |
"unit": "kWh",
|
131 |
+
"cpu": 8.968959914313423e-06,
|
132 |
+
"ram": 3.7483027633929093e-07,
|
133 |
"gpu": 0.0,
|
134 |
+
"total": 9.343790190652713e-06
|
135 |
},
|
136 |
"efficiency": {
|
137 |
"unit": "samples/kWh",
|
138 |
+
"value": 107022.95102905609
|
139 |
}
|
140 |
}
|
141 |
}
|