IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
ac1ae96 verified
raw
history blame
8.49 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": {},
"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-6.5.0-1023-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "f837debaab7bc93d6490c10e065312a52e57b795",
"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": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 958.619648,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6482270169999822,
"mean": 0.046301929785713014,
"stdev": 0.004546878962071299,
"p50": 0.04411083949999295,
"p90": 0.05217969889999097,
"p95": 0.05523648269998631,
"p99": 0.058336858939984776,
"values": [
0.04501018000001977,
0.04491730399999483,
0.059111952999984396,
0.04744947999998317,
0.044143773999991254,
0.04390131900001393,
0.04354293000000098,
0.05314969099998734,
0.049916383999999425,
0.044077904999994644,
0.04356663100000446,
0.04301663399999711,
0.04346193300000323,
0.04296089900000766
]
},
"throughput": {
"unit": "tokens/s",
"value": 43.19474391793326
},
"energy": {
"unit": "kWh",
"cpu": 1.868257699189363e-06,
"ram": 7.807683591457655e-08,
"gpu": 0.0,
"total": 1.9463345351039398e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1027572.580113107
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 958.619648,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.4167471049999847,
"mean": 0.029767650357141764,
"stdev": 0.003983805536416375,
"p50": 0.02779229149999196,
"p90": 0.03572732599998574,
"p95": 0.03726574339999473,
"p99": 0.03854114948001296,
"values": [
0.028787558000004765,
0.036407296999982464,
0.03293798400000014,
0.03886000100001752,
0.02699971699999537,
0.026944831999998087,
0.034140726999993376,
0.029912273999997296,
0.027663182999987157,
0.027921399999996765,
0.02672232800000529,
0.02680142799999885,
0.026216204000007792,
0.02643217199999981
]
},
"throughput": {
"unit": "tokens/s",
"value": 33.59351470480044
},
"energy": {
"unit": "kWh",
"cpu": 1.2666384039441406e-06,
"ram": 5.293570562251581e-08,
"gpu": 0.0,
"total": 1.3195741095666566e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 757820.2639398528
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.41132615199995826,
"mean": 0.029380439428568446,
"stdev": 0.003971546727600507,
"p50": 0.027399070000001302,
"p90": 0.03530498859998943,
"p95": 0.03685198904999538,
"p99": 0.038154673810007575,
"values": [
0.02824434299998302,
0.03597518199998717,
0.03255706499999178,
0.03848034500001063,
0.02663903699999537,
0.026591725999992377,
0.033741203999994696,
0.02954118499999936,
0.02727188500000466,
0.027526254999997946,
0.026380122999995592,
0.026414748999997073,
0.025873738000001367,
0.026089315000007218
]
},
"throughput": {
"unit": "tokens/s",
"value": 34.03625062964978
},
"energy": null,
"efficiency": null
}
}
}