IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
f0408d7 verified
raw
history blame
9.52 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": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "a7a97473b632c48148612a312a4eb89b241c78ba",
"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": 1103.949824,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 5.034189029999993,
"mean": 5.034189029999993,
"stdev": 0.0,
"p50": 5.034189029999993,
"p90": 5.034189029999993,
"p95": 5.034189029999993,
"p99": 5.034189029999993,
"values": [
5.034189029999993
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.776167551676433e-05,
"ram": 2.8322346144034326e-06,
"gpu": 0,
"total": 7.059391013116776e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 957.304832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6220744530000388,
"mean": 0.04443388950000277,
"stdev": 0.0017111831826938334,
"p50": 0.04419783150000001,
"p90": 0.04673925839999811,
"p95": 0.04713835214999591,
"p99": 0.0476757456299984,
"values": [
0.04677664499999423,
0.043974724999998216,
0.044390672000020004,
0.04339041500000462,
0.04456657000000064,
0.042820750999993606,
0.044140695000010055,
0.04605218300000047,
0.04665202300000715,
0.04244049199999722,
0.04425496799998996,
0.047810093999999026,
0.04201571900000545,
0.042788501000018186
]
},
"throughput": {
"unit": "tokens/s",
"value": 45.010689419837426
},
"energy": {
"unit": "kWh",
"cpu": 1.6958578773166827e-06,
"ram": 7.08719130409463e-08,
"gpu": 0.0,
"total": 1.7667297903576288e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1132035.0236439675
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 958.222336,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.38168505199993774,
"mean": 0.027263217999995554,
"stdev": 0.00111371870785759,
"p50": 0.02714446399998849,
"p90": 0.02826827360001971,
"p95": 0.028934908200005792,
"p99": 0.02976805843998818,
"values": [
0.02668853899999135,
0.027887004999996634,
0.026440244999974993,
0.025771275000010974,
0.027813457999997127,
0.028021266000024525,
0.02633259399999588,
0.029976345999983778,
0.027765016999978798,
0.02690320799999313,
0.026704939000012473,
0.02738571999998385,
0.028374134000017648,
0.025621305999976585
]
},
"throughput": {
"unit": "tokens/s",
"value": 36.67945581479644
},
"energy": {
"unit": "kWh",
"cpu": 1.011168922203175e-06,
"ram": 4.2259039674945595e-08,
"gpu": 0.0,
"total": 1.0534279618781202e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 949281.807763233
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.37625699899999177,
"mean": 0.02687549992857084,
"stdev": 0.0011185561196108778,
"p50": 0.02678810899999462,
"p90": 0.027887668600013172,
"p95": 0.02855098745000646,
"p99": 0.029374723089998722,
"values": [
0.026312797000002774,
0.027513838000004398,
0.026047331000000895,
0.02542254400000843,
0.027454658999999992,
0.027633612000016683,
0.02594478999998273,
0.02958065699999679,
0.02738783299997749,
0.02654921799998533,
0.026170672000006334,
0.02702700000000391,
0.027996550000011666,
0.02521549799999434
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.20861017126304
},
"energy": null,
"efficiency": null
}
}
}