IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
94a2c13 verified
raw
history blame
6.8 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.763008,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "da7a7adc61c6bf2e65157851160ed1216b6a5c9b",
"transformers_version": "4.45.0",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"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": 967.868416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.5321050759999935,
"mean": 4.5321050759999935,
"stdev": 0.0,
"p50": 4.5321050759999935,
"p90": 4.5321050759999935,
"p95": 4.5321050759999935,
"p99": 4.5321050759999935,
"values": [
4.5321050759999935
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.097320429444432e-05,
"ram": 2.131650853405977e-06,
"gpu": 0,
"total": 5.3104855147850296e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 882.016256,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 23,
"total": 1.022909397000035,
"mean": 0.04447432160869717,
"stdev": 0.0008713588980913881,
"p50": 0.04460097899999482,
"p90": 0.045186547799994516,
"p95": 0.04584775460000969,
"p99": 0.04636124757997777,
"values": [
0.0435992390000024,
0.04461510599998064,
0.04297392700004821,
0.046485681999968165,
0.04392317100001719,
0.044055076000006466,
0.04514511100001073,
0.042387727000004816,
0.0437578639999856,
0.04491164699999217,
0.04427648699999054,
0.04490063700001201,
0.0439477360000069,
0.04592007100001183,
0.04384261000001288,
0.044931223999981285,
0.044458646000009594,
0.04460097899999482,
0.044280585000024075,
0.04519690699999046,
0.04504669899995406,
0.044675218000008954,
0.044977048000021114
]
},
"throughput": {
"unit": "samples/s",
"value": 22.484884846550308
},
"energy": {
"unit": "kWh",
"cpu": 1.5060774465812412e-06,
"ram": 6.297440990218991e-08,
"gpu": 0.0,
"total": 1.5690518564834311e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 637327.5656046233
}
}
}
}