IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
c27d29c verified
raw
history blame
8.4 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": "0.2.1",
"optimum_benchmark_commit": "f85421c91b2a2b1bc0a30ceba32f9580499bf023",
"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": 956.485632,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6631392349999032,
"mean": 0.047367088214278805,
"stdev": 0.0018567794314982196,
"p50": 0.04688193900000215,
"p90": 0.050500270799983586,
"p95": 0.050989113499980476,
"p99": 0.051011613899976285,
"values": [
0.04723268100002542,
0.04848425199998019,
0.046664858000042386,
0.04642622199997959,
0.04709901999996191,
0.0459951049999745,
0.045254389999968225,
0.04939497499998424,
0.051017238999975234,
0.0509739689999833,
0.04739707700002782,
0.045059476000005816,
0.04588531000001694,
0.04625466099997766
]
},
"throughput": {
"unit": "tokens/s",
"value": 42.22341029181313
},
"energy": {
"unit": "kWh",
"cpu": 1.818288335896502e-06,
"ram": 7.598500345641862e-08,
"gpu": 0.0,
"total": 1.8942733393529205e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1055813.8355487785
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 956.485632,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.40755572500006565,
"mean": 0.029111123214290404,
"stdev": 0.001426597778332552,
"p50": 0.028622850500028107,
"p90": 0.03139698610000892,
"p95": 0.03165521325000782,
"p99": 0.03190958424999962,
"values": [
0.02949103399998876,
0.028605528000014147,
0.028484881999986555,
0.028399842999988323,
0.02864017300004207,
0.029520700000034594,
0.02798283000004176,
0.031484002000013334,
0.03197317699999758,
0.03119394899999861,
0.02743047899997464,
0.02714351299999862,
0.028884759999982634,
0.02832085500000403
]
},
"throughput": {
"unit": "tokens/s",
"value": 34.3511307564082
},
"energy": {
"unit": "kWh",
"cpu": 1.0542290379302673e-06,
"ram": 4.4061355000001764e-08,
"gpu": 0.0,
"total": 1.0982903929302686e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 910506.0068239083
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 13,
"total": 0.994253824999987,
"mean": 0.07648106346153746,
"stdev": 0.0032515038066005513,
"p50": 0.07515090300000793,
"p90": 0.08192981380002493,
"p95": 0.0825456231999965,
"p99": 0.08292924543996605,
"values": [
0.07714477199999692,
0.07515090300000793,
0.07483810700000504,
0.07575853999998117,
0.07551517399997465,
0.07325420099999747,
0.08074531700003718,
0.08302515099995844,
0.08222593800002187,
0.07500976699998319,
0.07224853299999268,
0.07463676100002203,
0.0747006610000085
]
},
"throughput": {
"unit": "tokens/s",
"value": 13.075131996600737
},
"energy": null,
"efficiency": null
}
}
}