IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
7f857e9 verified
raw
history blame
7.22 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": 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": "0.4.0",
"optimum_benchmark_commit": "b502dde12931cbe71b3c4aa53e3850ce968529c8",
"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": 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": 941.948928,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.308966786999974,
"mean": 4.308966786999974,
"stdev": 0.0,
"p50": 4.308966786999974,
"p90": 4.308966786999974,
"p95": 4.308966786999974,
"p99": 4.308966786999974,
"values": [
4.308966786999974
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.811703901666565e-05,
"ram": 2.012212537826005e-06,
"gpu": 0,
"total": 5.0129251554491654e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 949.551104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 33,
"total": 1.0227409679999369,
"mean": 0.03099215054545263,
"stdev": 0.0012661898526460593,
"p50": 0.030637447000003704,
"p90": 0.032564264600023304,
"p95": 0.03353813780000792,
"p99": 0.035081157280001204,
"values": [
0.03101541799998131,
0.030304779000005055,
0.02985883299999159,
0.029836521999982324,
0.030090175999987423,
0.030374138000013318,
0.030607193999969695,
0.030694016000040847,
0.030243001999963326,
0.030120672999998988,
0.030151380999996036,
0.030811937000009948,
0.029864083000006758,
0.03054306000001361,
0.032482479000009334,
0.0325847110000268,
0.030784212999947158,
0.030856539000012617,
0.03091649100002769,
0.030637447000003704,
0.03163954800004376,
0.03404108300003372,
0.03320284099999071,
0.03196991699996943,
0.030893648000017038,
0.03051608999999189,
0.030149871999981315,
0.03066607099998464,
0.030890892999991593,
0.035570603999985906,
0.030436230000020714,
0.029922205999980633,
0.03006487299995797
]
},
"throughput": {
"unit": "samples/s",
"value": 32.26623459167232
},
"energy": {
"unit": "kWh",
"cpu": 1.1853705865319447e-06,
"ram": 4.9567121865676816e-08,
"gpu": 0.0,
"total": 1.2349377083976214e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 809757.4421770131
}
}
}
}