IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
41dce48 verified
raw
history blame
5.68 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"model": "google-bert/bert-base-uncased",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "b41c364fc95b27c894c71df85ec2bf4c8adb0e4d",
"transformers_version": "4.40.2",
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 867.131392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.010072556999944,
"mean": 0.04591238895454291,
"stdev": 0.000741654596927033,
"p50": 0.04598284399999386,
"p90": 0.04681734029998665,
"p95": 0.046944741899993404,
"p99": 0.04696967587000756,
"values": [
0.04677967800000715,
0.046373734000013656,
0.046425309999989395,
0.044644935999997415,
0.0469745800000112,
0.04625857100000985,
0.04567000900001972,
0.04618612599998073,
0.0456451019999804,
0.04466718699998751,
0.04695122699999388,
0.04571304799998188,
0.04577956200000699,
0.045187091999991935,
0.046821524999984376,
0.04471590700001116,
0.045676510999982156,
0.04647119599999883,
0.04533552700002019,
0.044921794000003956,
0.04620265699998072,
0.046671277999990934
]
},
"throughput": {
"unit": "samples/s",
"value": 21.780613528738034
},
"energy": {
"unit": "kWh",
"cpu": 1.5466506155128154e-06,
"ram": 6.46363973020724e-08,
"gpu": 0.0,
"total": 1.611287012814888e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 620621.8954455662
}
}
}
}