IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
d992938 verified
raw
history blame
7.01 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "ea76e356b5c355783ee27d2d429a010ded791f8b",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 945.487872,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.361496553999984,
"mean": 4.361496553999984,
"stdev": 0.0,
"p50": 4.361496553999984,
"p90": 4.361496553999984,
"p95": 4.361496553999984,
"p99": 4.361496553999984,
"values": [
4.361496553999984
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.773713392777824e-05,
"ram": 1.9951812499026055e-06,
"gpu": 0,
"total": 4.973231517768084e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 953.483264,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 28,
"total": 1.010719685999959,
"mean": 0.036097131642855676,
"stdev": 0.0008808251940908986,
"p50": 0.036241125999993073,
"p90": 0.03711308019997546,
"p95": 0.03741513789998976,
"p99": 0.03794573840000225,
"values": [
0.03704996199996913,
0.03656871000004003,
0.03524177200000622,
0.035132558000043446,
0.03811116200000697,
0.03623062599996274,
0.03662069599999995,
0.03628634000000375,
0.03484616100001858,
0.03436644099997466,
0.035548066999979255,
0.037260355999990225,
0.0365541929999722,
0.03616410099999712,
0.03612075000000914,
0.034846702000038476,
0.03749848199998951,
0.035477936000006594,
0.03665406999999732,
0.03625162600002341,
0.03598848199999338,
0.035800689999973656,
0.03436845499999208,
0.03670832199998131,
0.03639344099997288,
0.0363394610000114,
0.035783607999974265,
0.0365065160000313
]
},
"throughput": {
"unit": "samples/s",
"value": 27.703032193637455
},
"energy": {
"unit": "kWh",
"cpu": 1.2043607309764144e-06,
"ram": 5.0332450615973994e-08,
"gpu": 0.0,
"total": 1.2546931815923883e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 797007.5988863304
}
}
}
}