IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
2791373 verified
raw
history blame
7.17 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "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-6.5.0-1023-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "d0c0a5c5918412583a4f2490ab7e3d1b48375998",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 939.941888,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.321444974999963,
"mean": 4.321444974999963,
"stdev": 0.0,
"p50": 4.321444974999963,
"p90": 4.321444974999963,
"p95": 4.321444974999963,
"p99": 4.321444974999963,
"values": [
4.321444974999963
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.858833948771159e-05,
"ram": 2.0307652589840097e-06,
"gpu": 0,
"total": 5.06191047466956e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 947.806208,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 32,
"total": 1.0275006769999209,
"mean": 0.03210939615624753,
"stdev": 0.0009549843357225671,
"p50": 0.03186252899999431,
"p90": 0.033411313299995984,
"p95": 0.03406328819998237,
"p99": 0.03451358646000472,
"values": [
0.03335595599997987,
0.03227589900001249,
0.033407742999997936,
0.03197004499998002,
0.03193985899997642,
0.032206960000053186,
0.03196565799999007,
0.032378051000023333,
0.032715343999996094,
0.03158772799997678,
0.031990894999978536,
0.0320682500000089,
0.031606703999955243,
0.03217171300002519,
0.03177884799998765,
0.03168838699997423,
0.03164901400003828,
0.03166683599999942,
0.0312955699999975,
0.03164308200001642,
0.03141693800000667,
0.031505976000005376,
0.03173640599999317,
0.0317851990000122,
0.0313179229999605,
0.03458864800001038,
0.033411709999995765,
0.03434651399999211,
0.03383155799997439,
0.03064993999998933,
0.030938539999965542,
0.03060878300004788
]
},
"throughput": {
"unit": "samples/s",
"value": 31.143531791563447
},
"energy": {
"unit": "kWh",
"cpu": 1.209244904694734e-06,
"ram": 5.0536832149963164e-08,
"gpu": 0.0,
"total": 1.2597817368446968e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 793788.2974114569
}
}
}
}