Commit
•
4a40536
1
Parent(s):
6186b99
Upload cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub
Browse files
cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json
CHANGED
@@ -6,19 +6,17 @@
|
|
6 |
"version": "2.3.0+cpu",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "stable-diffusion",
|
9 |
-
"model": "CompVis/stable-diffusion-v1-4",
|
10 |
"library": "diffusers",
|
|
|
|
|
11 |
"device": "cpu",
|
12 |
"device_ids": null,
|
13 |
"seed": 42,
|
14 |
"inter_op_num_threads": null,
|
15 |
"intra_op_num_threads": null,
|
16 |
-
"
|
17 |
-
|
18 |
-
|
19 |
-
"local_files_only": false,
|
20 |
-
"trust_remote_code": false
|
21 |
-
},
|
22 |
"no_weights": false,
|
23 |
"device_map": null,
|
24 |
"torch_dtype": null,
|
@@ -73,14 +71,14 @@
|
|
73 |
"environment": {
|
74 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
75 |
"cpu_count": 4,
|
76 |
-
"cpu_ram_mb": 16757.
|
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": "
|
84 |
"transformers_version": "4.40.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.30.0",
|
@@ -99,7 +97,7 @@
|
|
99 |
"call": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram":
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
@@ -108,31 +106,31 @@
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
-
"total":
|
112 |
-
"mean":
|
113 |
"stdev": 0.0,
|
114 |
-
"p50":
|
115 |
-
"p90":
|
116 |
-
"p95":
|
117 |
-
"p99":
|
118 |
"values": [
|
119 |
-
|
120 |
]
|
121 |
},
|
122 |
"throughput": {
|
123 |
"unit": "images/s",
|
124 |
-
"value": 0.
|
125 |
},
|
126 |
"energy": {
|
127 |
"unit": "kWh",
|
128 |
-
"cpu": 0.
|
129 |
-
"ram": 7.
|
130 |
"gpu": 0.0,
|
131 |
-
"total": 0.
|
132 |
},
|
133 |
"efficiency": {
|
134 |
"unit": "images/kWh",
|
135 |
-
"value":
|
136 |
}
|
137 |
}
|
138 |
}
|
|
|
6 |
"version": "2.3.0+cpu",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "stable-diffusion",
|
|
|
9 |
"library": "diffusers",
|
10 |
+
"model": "CompVis/stable-diffusion-v1-4",
|
11 |
+
"processor": "CompVis/stable-diffusion-v1-4",
|
12 |
"device": "cpu",
|
13 |
"device_ids": null,
|
14 |
"seed": 42,
|
15 |
"inter_op_num_threads": null,
|
16 |
"intra_op_num_threads": null,
|
17 |
+
"model_kwargs": {},
|
18 |
+
"processor_kwargs": {},
|
19 |
+
"hub_kwargs": {},
|
|
|
|
|
|
|
20 |
"no_weights": false,
|
21 |
"device_map": null,
|
22 |
"torch_dtype": null,
|
|
|
71 |
"environment": {
|
72 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
73 |
"cpu_count": 4,
|
74 |
+
"cpu_ram_mb": 16757.342208,
|
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": "a8ccb91469272f9f38883fbf3e14bffcd5e95f2d",
|
82 |
"transformers_version": "4.40.2",
|
83 |
"transformers_commit": null,
|
84 |
"accelerate_version": "0.30.0",
|
|
|
97 |
"call": {
|
98 |
"memory": {
|
99 |
"unit": "MB",
|
100 |
+
"max_ram": 6975.717376,
|
101 |
"max_global_vram": null,
|
102 |
"max_process_vram": null,
|
103 |
"max_reserved": null,
|
|
|
106 |
"latency": {
|
107 |
"unit": "s",
|
108 |
"count": 1,
|
109 |
+
"total": 48.97958618500002,
|
110 |
+
"mean": 48.97958618500002,
|
111 |
"stdev": 0.0,
|
112 |
+
"p50": 48.97958618500002,
|
113 |
+
"p90": 48.97958618500002,
|
114 |
+
"p95": 48.97958618500002,
|
115 |
+
"p99": 48.97958618500002,
|
116 |
"values": [
|
117 |
+
48.97958618500002
|
118 |
]
|
119 |
},
|
120 |
"throughput": {
|
121 |
"unit": "images/s",
|
122 |
+
"value": 0.02041666902253759
|
123 |
},
|
124 |
"energy": {
|
125 |
"unit": "kWh",
|
126 |
+
"cpu": 0.0019007245130009125,
|
127 |
+
"ram": 7.945564455040767e-05,
|
128 |
"gpu": 0.0,
|
129 |
+
"total": 0.0019801801575513203
|
130 |
},
|
131 |
"efficiency": {
|
132 |
"unit": "images/kWh",
|
133 |
+
"value": 505.0045553615659
|
134 |
}
|
135 |
}
|
136 |
}
|