IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
393ec92 verified
raw
history blame
No virus
6.75 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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": "error",
"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-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "65fa416fd503cfe9a2be7637ee30c70a4a1f96f1",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 947.593216,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.438886996000008,
"mean": 4.438886996000008,
"stdev": 0.0,
"p50": 4.438886996000008,
"p90": 4.438886996000008,
"p95": 4.438886996000008,
"p99": 4.438886996000008,
"values": [
4.438886996000008
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.8114279905955e-05,
"ram": 2.0109435560380006e-06,
"gpu": 0,
"total": 5.0125223461993e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 958.455808,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.022140663999835,
"mean": 0.04646093927271977,
"stdev": 0.0008941272007847811,
"p50": 0.04661014699999555,
"p90": 0.04718166249995761,
"p95": 0.04812315665000995,
"p99": 0.048241308469986845,
"values": [
0.04662255499999901,
0.045805014999984905,
0.04486642599999868,
0.04708320800000365,
0.04659773899999209,
0.046880117999990034,
0.045614637000028324,
0.04537531900001568,
0.046479637999993884,
0.04817218900001308,
0.04709274700002197,
0.04685693400000446,
0.045548002999964865,
0.048259681999979875,
0.04719154199995046,
0.047001434999970115,
0.046634358000005705,
0.04575101199998244,
0.044841379999979836,
0.04707420199997614,
0.04636964200000193,
0.04602288299997781
]
},
"throughput": {
"unit": "samples/s",
"value": 21.523456384084874
},
"energy": {
"unit": "kWh",
"cpu": 1.5518549670521011e-06,
"ram": 6.485508740354361e-08,
"gpu": 0.0,
"total": 1.6167100544556446e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 618540.1007707011
}
}
}
}