IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
880eb78 verified
raw
history blame
9.53 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "5fb920708cddfa053b20bc358a29dcccc65d9215",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"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": 1122.746368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.846772704000017,
"mean": 4.846772704000017,
"stdev": 0.0,
"p50": 4.846772704000017,
"p90": 4.846772704000017,
"p95": 4.846772704000017,
"p99": 4.846772704000017,
"values": [
4.846772704000017
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.856007024999905e-05,
"ram": 2.865644416511742e-06,
"gpu": 0,
"total": 7.142571466651079e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 976.871424,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6568057470000213,
"mean": 0.04691469621428723,
"stdev": 0.0016598473749843893,
"p50": 0.047408099500003686,
"p90": 0.04782169569999155,
"p95": 0.048180877999995174,
"p99": 0.04870979080000353,
"values": [
0.04624087900000973,
0.047750570000005155,
0.04742376900000522,
0.04586735099999828,
0.04884201900000562,
0.04781426799999622,
0.04686815099998398,
0.0475270420000129,
0.04782487899998955,
0.04713750400000549,
0.04739243000000215,
0.047518946999986156,
0.04712793400000237,
0.041470004000018434
]
},
"throughput": {
"unit": "tokens/s",
"value": 42.63056486318944
},
"energy": {
"unit": "kWh",
"cpu": 1.6371956497685204e-06,
"ram": 6.84212404457829e-08,
"gpu": 0.0,
"total": 1.7056168902143032e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1172596.2679395773
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 977.002496,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.40253182200001447,
"mean": 0.028752273000001032,
"stdev": 0.0015278479634471052,
"p50": 0.029267891000003488,
"p90": 0.030072160299994266,
"p95": 0.03024137569999965,
"p99": 0.030381027940000818,
"values": [
0.029864860000003546,
0.02931091600001423,
0.028172348999987662,
0.029289406000003737,
0.029414661000004116,
0.030147378999998864,
0.029058775000009973,
0.030415941000001112,
0.028970369000006713,
0.028044800000003534,
0.029896649999983538,
0.029246376000003238,
0.025378549000009798,
0.02532079099998441
]
},
"throughput": {
"unit": "tokens/s",
"value": 34.77985896975742
},
"energy": {
"unit": "kWh",
"cpu": 9.794440117129754e-07,
"ram": 4.09296030919688e-08,
"gpu": 0.0,
"total": 1.0203736148049447e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 980033.1814647722
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.39587520299997436,
"mean": 0.028276800214283884,
"stdev": 0.0014733183418912206,
"p50": 0.028786711499989792,
"p90": 0.02953435630000456,
"p95": 0.029726920250004694,
"p99": 0.029886869649994877,
"values": [
0.029336242999988826,
0.028851567999993222,
0.027695477999998275,
0.02880266599999004,
0.028931327000009333,
0.029619262000011304,
0.02855809999999792,
0.029926856999992424,
0.028466578000006848,
0.027579089999989037,
0.029328367999994498,
0.028770756999989544,
0.025021301000009544,
0.024987608000003547
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.36468031820853
},
"energy": null,
"efficiency": null
}
}
}