IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
6381b22 verified
raw
history blame
6.75 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "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": "6f7b069b4b0cde5708134b51a746a564e69874ce",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 965.464064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.440144271000008,
"mean": 4.440144271000008,
"stdev": 0.0,
"p50": 4.440144271000008,
"p90": 4.440144271000008,
"p95": 4.440144271000008,
"p99": 4.440144271000008,
"values": [
4.440144271000008
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.175666411717733e-05,
"ram": 2.1632150385880776e-06,
"gpu": 0,
"total": 5.391987915576541e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 879.681536,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.0131642400000942,
"mean": 0.04605292000000428,
"stdev": 0.0028891925246782068,
"p50": 0.04518826850002711,
"p90": 0.04985148219998337,
"p95": 0.05090705130002959,
"p99": 0.0550277064800008,
"values": [
0.045018523999999616,
0.04658871500004125,
0.04323728600002141,
0.04611630699997704,
0.050949954000031994,
0.04447413999997707,
0.0449497849999716,
0.0431102559999772,
0.043682912999997825,
0.04583729200004427,
0.04442106100003684,
0.04511924400003409,
0.04525729300002013,
0.045411271999967084,
0.04423463000000538,
0.04442342499999086,
0.05009189999998398,
0.04768772199997784,
0.044823417000031895,
0.04575656100001879,
0.045860876999995526,
0.05611166599999251
]
},
"throughput": {
"unit": "samples/s",
"value": 21.71414972166601
},
"energy": {
"unit": "kWh",
"cpu": 1.5581527815924753e-06,
"ram": 6.511609920344199e-08,
"gpu": 0.0,
"total": 1.623268880795917e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 616040.8862823037
}
}
}
}