IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
a4239be verified
raw
history blame
8.4 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "openai-community/gpt2",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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,
"latency": true,
"memory": 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",
"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-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 958.312448,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6226214250000339,
"mean": 0.04447295892857385,
"stdev": 0.0006497683664670401,
"p50": 0.04445699649998858,
"p90": 0.04529145000000767,
"p95": 0.04560630480000612,
"p99": 0.045885101759996015,
"values": [
0.045954800999993495,
0.04446333299998173,
0.044494441000011875,
0.04426547500000311,
0.04376506200000563,
0.04499464299999545,
0.04426369099999761,
0.04452789300000859,
0.043635319999992817,
0.04387021799999502,
0.04445065999999542,
0.04541865300001291,
0.043626325000019506,
0.04489091000002077
]
},
"throughput": {
"unit": "tokens/s",
"value": 44.97114759582595
},
"energy": {
"unit": "kWh",
"cpu": 1.6963920155585101e-06,
"ram": 7.089398842205409e-08,
"gpu": 0.0,
"total": 1.767286003980564e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1131678.741016044
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 958.312448,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.3892796470000519,
"mean": 0.027805689071432278,
"stdev": 0.0009139966924691778,
"p50": 0.02751088150000669,
"p90": 0.028758083700014935,
"p95": 0.0293590112500155,
"p99": 0.030069515850009054,
"values": [
0.0284717760000035,
0.027489577000011423,
0.028459322999992764,
0.027429003000008834,
0.02726347500001225,
0.027557150999996338,
0.027213382000013553,
0.02688716399998725,
0.027532186000001957,
0.028088781999997536,
0.028880787000019836,
0.02703322499999672,
0.030247142000007443,
0.026726674000002504
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.963863273843685
},
"energy": {
"unit": "kWh",
"cpu": 1.0036530932366561e-06,
"ram": 4.1946113965940766e-08,
"gpu": 0.0,
"total": 1.0455992072025971e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 956389.4015139955
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 13,
"total": 0.9377388369999835,
"mean": 0.07213375669230643,
"stdev": 0.0007910113430319274,
"p50": 0.07195642499999622,
"p90": 0.0731509747999894,
"p95": 0.07340619199998741,
"p99": 0.07365363199999024,
"values": [
0.07198634099998458,
0.07295490600000676,
0.07172076599999855,
0.07105912399998715,
0.07256558100002053,
0.07149065799998766,
0.07143760900001439,
0.07115158700000279,
0.07195642499999622,
0.07319999199998506,
0.07267799000001673,
0.07371549199999095,
0.07182236599999214
]
},
"throughput": {
"unit": "tokens/s",
"value": 13.863134901812996
},
"energy": null,
"efficiency": null
}
}
}