IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
62bc133 verified
raw
history blame
9.53 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_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": 16757.346304,
"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": "ba7db8be4ae5965d5e6183075f0edd30672dab7b",
"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": 1105.907712,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.828384176000014,
"mean": 4.828384176000014,
"stdev": 0.0,
"p50": 4.828384176000014,
"p90": 4.828384176000014,
"p95": 4.828384176000014,
"p99": 4.828384176000014,
"values": [
4.828384176000014
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.906812323464289e-05,
"ram": 2.8868256306193035e-06,
"gpu": 0,
"total": 7.19549488652622e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 959.115264,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6450821170000154,
"mean": 0.04607729407142967,
"stdev": 0.0016765819274539608,
"p50": 0.04679848749999849,
"p90": 0.047243375500008254,
"p95": 0.047514098350004016,
"p99": 0.047831600469998535,
"values": [
0.04616728100000955,
0.04791097599999716,
0.046325625000008586,
0.045003436000001784,
0.0468583090000152,
0.04700736800000982,
0.04686742699999513,
0.04730039500000771,
0.04673866599998178,
0.047110330000009526,
0.047072118999977874,
0.04594711800001505,
0.04322847099999194,
0.04154459599999427
]
},
"throughput": {
"unit": "tokens/s",
"value": 43.40532664308741
},
"energy": {
"unit": "kWh",
"cpu": 1.5813750161064998e-06,
"ram": 6.608878372508873e-08,
"gpu": 0.0,
"total": 1.6474637998315885e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1213987.2209662206
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 960.032768,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.39904321299997036,
"mean": 0.028503086642855027,
"stdev": 0.0014589327432799524,
"p50": 0.029063882999992074,
"p90": 0.02972551059999944,
"p95": 0.029843324750002863,
"p99": 0.029844606549999923,
"values": [
0.029280392000003985,
0.02892587100001265,
0.028415107000000717,
0.029100485999975945,
0.029149818999997024,
0.029452623999986827,
0.02984492699999919,
0.029202416999993375,
0.028546521999999186,
0.02791046400000141,
0.029027280000008204,
0.029842462000004844,
0.025637859999989132,
0.02470698199999788
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.083919595447526
},
"energy": {
"unit": "kWh",
"cpu": 9.600913723309832e-07,
"ram": 4.012165362526714e-08,
"gpu": 0.0,
"total": 1.000213025956251e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 999787.019414142
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.39254265200000305,
"mean": 0.028038760857143075,
"stdev": 0.0014169013176732286,
"p50": 0.028589932499997417,
"p90": 0.029243011000011167,
"p95": 0.02939295715000867,
"p99": 0.029448529029997415,
"values": [
0.02876651200000424,
0.02845630400000232,
0.027922326000009434,
0.028627281999973775,
0.028632642999980362,
0.028980412999999317,
0.029355553000016243,
0.02864520700001094,
0.02807323800001882,
0.027398758999993333,
0.02855258300002106,
0.029462421999994604,
0.025318422999987433,
0.024350986999991164
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.66491419128613
},
"energy": null,
"efficiency": null
}
}
}