IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
bc26e0c verified
raw
history blame
8.59 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"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": {},
"hub_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,
"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",
"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-6.5.0-1022-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "f6013cec1a849341c31271831560b1681406c092",
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"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": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 956.227584,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.6582488780000517,
"mean": 0.04388325853333678,
"stdev": 0.0005722848001915155,
"p50": 0.04402305800005024,
"p90": 0.04454082060000246,
"p95": 0.04463981630000831,
"p99": 0.044726320060025276,
"values": [
0.04446183900000733,
0.04408865099998138,
0.04403614199998174,
0.04393120600002476,
0.04339450999998462,
0.04429278200001363,
0.04367949399994586,
0.044256946000018615,
0.044747946000029515,
0.043903765000038675,
0.044593474999999216,
0.04402305800005024,
0.042879395999989356,
0.043051036999997905,
0.04290863099998887
]
},
"throughput": {
"unit": "tokens/s",
"value": 45.57546697405483
},
"energy": {
"unit": "kWh",
"cpu": 1.701655998322123e-06,
"ram": 7.111419136890617e-08,
"gpu": 0.0,
"total": 1.7727701896910291e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1128177.8155061228
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 956.227584,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.4052213800000004,
"mean": 0.027014758666666694,
"stdev": 0.0008578160564061737,
"p50": 0.026784146000011333,
"p90": 0.028234936800004107,
"p95": 0.02882755599998177,
"p99": 0.028988791199952856,
"values": [
0.02695477600002505,
0.026627852999979496,
0.026592237000045316,
0.02625107799997295,
0.026784146000011333,
0.027433040999994773,
0.02747557200001438,
0.027233027000022503,
0.026773015999992822,
0.02702958499997976,
0.028741179999997257,
0.02902909999994563,
0.026191546999996262,
0.026118460000020605,
0.025986762000002273
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.01680301271365
},
"energy": {
"unit": "kWh",
"cpu": 1.0031987196389414e-06,
"ram": 4.192712437611589e-08,
"gpu": 0.0,
"total": 1.0451258440150576e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 956822.5737852795
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 15,
"total": 0.39995003799998585,
"mean": 0.026663335866665725,
"stdev": 0.0008323215595912398,
"p50": 0.026445232000014585,
"p90": 0.027784852000013415,
"p95": 0.028374437799993758,
"p99": 0.02863351955997132,
"values": [
0.026620980000018335,
0.02628862799997478,
0.026259132999996382,
0.025917522999975517,
0.026445232000014585,
0.027089968999973735,
0.027108664000024874,
0.026893771000004563,
0.0264059790000033,
0.026651396999966437,
0.028235644000005777,
0.02869828999996571,
0.02586971400000948,
0.025789424000038252,
0.02567569000001413
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.50468452262162
},
"energy": null,
"efficiency": null
}
}
}