IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
81d4ef6 verified
raw
history blame
6.92 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": 16757.338112,
"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": "5d46f86e41f222edc00e7cd49069aba0547a6c3d",
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"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": 945.553408,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.620740566999984,
"mean": 4.620740566999984,
"stdev": 0.0,
"p50": 4.620740566999984,
"p90": 4.620740566999984,
"p95": 4.620740566999984,
"p99": 4.620740566999984,
"values": [
4.620740566999984
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.7827557905555475e-05,
"ram": 1.998898403061842e-06,
"gpu": 0,
"total": 4.9826456308617316e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 956.379136,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 26,
"total": 1.0359688640002673,
"mean": 0.039844956307702586,
"stdev": 0.0012703718690701498,
"p50": 0.039339181000030976,
"p90": 0.04141694500000881,
"p95": 0.04232209549999766,
"p99": 0.04348423700000126,
"values": [
0.041036861999998564,
0.03917118300000766,
0.04018028500001947,
0.04038205099999459,
0.0413451360000181,
0.04046437499999911,
0.03948912500004553,
0.03903691299996126,
0.03881457900001806,
0.039295354000046245,
0.039854968000042845,
0.03906881200003909,
0.039385523000021294,
0.0390663779999727,
0.039121279999960734,
0.03891612800003941,
0.03908951099998603,
0.04001116900002444,
0.03926863500004174,
0.03903408700000455,
0.03938300800001571,
0.04259987599999704,
0.043779024000002664,
0.04148875399999952,
0.03843939900002624,
0.03824644899998475
]
},
"throughput": {
"unit": "samples/s",
"value": 25.09727937150946
},
"energy": {
"unit": "kWh",
"cpu": 1.5075011762820819e-06,
"ram": 6.30015983814508e-08,
"gpu": 0.0,
"total": 1.5705027746635327e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 636738.7668030333
}
}
}
}