IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
1efe24e verified
raw
history blame
9.39 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "9a20da1f489402dd778fe1d26b97f74daf179458",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1110.700032,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.985544787999999,
"mean": 4.985544787999999,
"stdev": 0.0,
"p50": 4.985544787999999,
"p90": 4.985544787999999,
"p95": 4.985544787999999,
"p99": 4.985544787999999,
"values": [
4.985544787999999
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.800998442777833e-05,
"ram": 2.842646858687908e-06,
"gpu": 0,
"total": 7.085263128646624e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 964.042752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 13,
"total": 0.6267067390000136,
"mean": 0.04820821069230874,
"stdev": 0.0021459860148466967,
"p50": 0.04866667599998209,
"p90": 0.05023369680001224,
"p95": 0.05072652079999784,
"p99": 0.051186066559984054,
"values": [
0.047659333000012793,
0.049725910999995904,
0.04912055899998791,
0.047947160999996186,
0.05034356600000933,
0.05130095299998061,
0.049040923999996267,
0.04866667599998209,
0.04979422000002387,
0.042715979000007565,
0.0478101570000149,
0.0470463489999986,
0.045534951000007595
]
},
"throughput": {
"unit": "tokens/s",
"value": 41.48670882570394
},
"energy": {
"unit": "kWh",
"cpu": 1.6627967724537004e-06,
"ram": 6.949172502802344e-08,
"gpu": 0.0,
"total": 1.732288497481724e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1154542.1001798809
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 964.829184,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 13,
"total": 0.386703625999985,
"mean": 0.029746432769229614,
"stdev": 0.0017120197487387923,
"p50": 0.030086836999998923,
"p90": 0.031649524999994585,
"p95": 0.03174076799999739,
"p99": 0.03184991280000531,
"values": [
0.030281763999994382,
0.030534136999989414,
0.029945635000018456,
0.03164836900000978,
0.031649813999990783,
0.03084866800000441,
0.031877199000007295,
0.02999714899999617,
0.026491816999993034,
0.02757747299997959,
0.02695069300000341,
0.030086836999998923,
0.02881407099999933
]
},
"throughput": {
"unit": "tokens/s",
"value": 33.61747634608553
},
"energy": {
"unit": "kWh",
"cpu": 9.969289312499564e-07,
"ram": 4.166352117617076e-08,
"gpu": 0.0,
"total": 1.038592452426128e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 962841.5820508065
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 13,
"total": 0.38050565699995786,
"mean": 0.02926966592307368,
"stdev": 0.0016489780978953127,
"p50": 0.02967904499999463,
"p90": 0.031091859599990813,
"p95": 0.03118656919999694,
"p99": 0.03129772904000447,
"values": [
0.029761109999981272,
0.030029311999982156,
0.029394723000024214,
0.03108355399999141,
0.031093935999990663,
0.030328147000005856,
0.03132551900000635,
0.029520851000000903,
0.026133607999980768,
0.02715953300000251,
0.02656148599999142,
0.02967904499999463,
0.02843483300000571
]
},
"throughput": {
"unit": "tokens/s",
"value": 34.16506367473386
},
"energy": null,
"efficiency": null
}
}
}