IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
d01ba67 verified
raw
history blame
No virus
6.95 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "3878a484586671dc5d651a3d7832a31a5aaf4796",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": "1.22.0",
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 971.93984,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
4.586199890999978
],
"count": 1,
"total": 4.586199890999978,
"mean": 4.586199890999978,
"p50": 4.586199890999978,
"p90": 4.586199890999978,
"p95": 4.586199890999978,
"p99": 4.586199890999978,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.242267006666611e-05,
"ram": 2.1922896709450107e-06,
"gpu": 0,
"total": 5.4614959737611116e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 886.480896,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.044693262999999206,
0.04507297399999288,
0.04333312100004605,
0.04477048799998329,
0.0446980520000011,
0.044977113999948415,
0.045301029999961884,
0.03966512499999908,
0.03935151799998948,
0.03866310199998679,
0.03941330399999288,
0.039044445000001815,
0.04084577100002207,
0.03906218800000261,
0.03869092399997953,
0.03995209100003194,
0.039498261999995066,
0.03956286300001466,
0.03964399599999524,
0.039761976000022514,
0.03937434099998427,
0.03938892799999394,
0.039217307000001256,
0.041565345999970305,
0.04054760499997201
],
"count": 25,
"total": 1.0260951339998883,
"mean": 0.04104380535999553,
"p50": 0.03966512499999908,
"p90": 0.04489446359996237,
"p95": 0.04505380199998399,
"p99": 0.045246296559969326,
"stdev": 0.0023746746968090204,
"stdev_": 5.785707918602407
},
"throughput": {
"unit": "samples/s",
"value": 24.36421260721301
},
"energy": {
"unit": "kWh",
"cpu": 1.5323462688034055e-06,
"ram": 6.407557269558866e-08,
"gpu": 0.0,
"total": 1.596421841498994e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 626400.8509561789
}
}
}
}