IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
a2ffe98 verified
raw
history blame
8.28 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",
"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": 16757.354496,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "5e9beea10942a9d4b3bee05550004817630e3d7e",
"transformers_version": "4.41.0",
"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": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 955.686912,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 13,
"total": 0.6316409749999252,
"mean": 0.048587767307686554,
"stdev": 0.0020453623775024367,
"p50": 0.04959141299997327,
"p90": 0.050212717800013705,
"p95": 0.05030110580000837,
"p99": 0.050357494759982725,
"values": [
0.05000617300004251,
0.05025411500002974,
0.050047128999949564,
0.04983384299998761,
0.04783427799998208,
0.04905352299999777,
0.049327643000026455,
0.04959141299997327,
0.05037159199997632,
0.04969687799996336,
0.0458892440000227,
0.04631692999998904,
0.0434182139999848
]
},
"throughput": {
"unit": "tokens/s",
"value": 41.16262406821071
},
"energy": {
"unit": "kWh",
"cpu": 1.6749868790308638e-06,
"ram": 6.999970397079854e-08,
"gpu": 0.0,
"total": 1.7449865830016623e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1146140.617631382
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 955.686912,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 13,
"total": 0.38924255900013804,
"mean": 0.029941735307702926,
"stdev": 0.001446514681541612,
"p50": 0.030516825999995945,
"p90": 0.03097372700002552,
"p95": 0.03128560020002169,
"p99": 0.031640494440011935,
"values": [
0.030719160999979067,
0.029373530999976083,
0.03098985500002982,
0.030785023000021283,
0.030909215000008317,
0.030516825999995945,
0.02921459499998491,
0.029860506000034093,
0.031729218000009496,
0.030892453000035403,
0.027263892000007672,
0.03039169200002334,
0.026596592000032615
]
},
"throughput": {
"unit": "tokens/s",
"value": 33.398197857381234
},
"energy": {
"unit": "kWh",
"cpu": 9.991020405734029e-07,
"ram": 4.1750833485195935e-08,
"gpu": 0.0,
"total": 1.0408528740585994e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 960750.577649556
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 12,
"total": 0.9405181589999643,
"mean": 0.07837651324999702,
"stdev": 0.003301421703867533,
"p50": 0.07955189400001927,
"p90": 0.08098435920000498,
"p95": 0.08147899295001082,
"p99": 0.08192913539001268,
"values": [
0.07967351999997163,
0.08101862000000892,
0.08063941400001795,
0.07872141199999305,
0.07964803300001222,
0.07856301699996493,
0.07945575500002633,
0.08204167100001314,
0.08067601199996943,
0.07330637100000104,
0.07653828700000531,
0.07023604699998032
]
},
"throughput": {
"unit": "tokens/s",
"value": 12.758924306957965
},
"energy": null,
"efficiency": null
}
}
}