IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
525e7f5 verified
raw
history blame
8.52 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": 16757.342208,
"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": "6d219cab8dced45685ef7bd31a9c5490c58b944d",
"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": 947.744768,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.6550434540000083,
"mean": 0.04366956360000055,
"stdev": 0.0009442459726971205,
"p50": 0.043400093999991896,
"p90": 0.044969158799989375,
"p95": 0.04538049639999997,
"p99": 0.045608600080012704,
"values": [
0.04525829799999315,
0.04428805899999588,
0.0428263849999837,
0.04390361200000825,
0.04338282200001231,
0.04297925999998142,
0.04453544999998371,
0.04566562600001589,
0.04285856500001728,
0.043400093999991896,
0.04267416100000787,
0.04332208899998591,
0.04397669900001233,
0.04386326700000609,
0.0421090670000126
]
},
"throughput": {
"unit": "tokens/s",
"value": 45.79848835494145
},
"energy": {
"unit": "kWh",
"cpu": 1.6926123324223765e-06,
"ram": 7.073598642250544e-08,
"gpu": 0.0,
"total": 1.763348318844882e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1134205.862010372
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 947.744768,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.40758571699998924,
"mean": 0.027172381133332615,
"stdev": 0.0007936533300877572,
"p50": 0.027156305000005432,
"p90": 0.027633397600010313,
"p95": 0.02823210800000595,
"p99": 0.02923892080000485,
"values": [
0.0273950090000028,
0.02769274400000654,
0.026746371000001545,
0.027282119999995302,
0.026782006999980013,
0.027544378000015968,
0.02733710100000053,
0.02697282299999415,
0.02730594399997699,
0.027156305000005432,
0.02711542899999131,
0.0269145940000044,
0.029490624000004573,
0.025966307000004463,
0.02588396100000523
]
},
"throughput": {
"unit": "tokens/s",
"value": 36.802074690954875
},
"energy": {
"unit": "kWh",
"cpu": 1.069803164968936e-06,
"ram": 4.4709171178965335e-08,
"gpu": 0.0,
"total": 1.1145123361479018e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 897253.4152975895
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.9902306230000022,
"mean": 0.07073075878571444,
"stdev": 0.0013561517202880726,
"p50": 0.07039625000000171,
"p90": 0.07246276519998958,
"p95": 0.07294918259999009,
"p99": 0.07338348452000332,
"values": [
0.07200986800000919,
0.06957833599997798,
0.07116524400001367,
0.07022016299998768,
0.07051648399999522,
0.07190438100002439,
0.07265686399998117,
0.07019123899999613,
0.07054194200000552,
0.06980548999999314,
0.07027601600000821,
0.07349206000000663,
0.0698707119999824,
0.06800182400002086
]
},
"throughput": {
"unit": "tokens/s",
"value": 14.138120630510908
},
"energy": null,
"efficiency": null
}
}
}