IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
523542b
verified
{ | |
"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": "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": {}, | |
"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": 16757.338112, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.1", | |
"optimum_benchmark_commit": "074fc31a7e13e70facbebbf8b363a0c312f75f69", | |
"transformers_version": "4.42.3", | |
"transformers_commit": null, | |
"accelerate_version": "0.31.0", | |
"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": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 866.267136, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 23, | |
"total": 1.0090392529999122, | |
"mean": 0.0438712718695614, | |
"stdev": 0.0020863587321919247, | |
"p50": 0.044674987000007604, | |
"p90": 0.0451680291999935, | |
"p95": 0.045296805699985045, | |
"p99": 0.045947590599991484, | |
"values": [ | |
0.04530820899998389, | |
0.04456476100000373, | |
0.0450252710000143, | |
0.04418310899998801, | |
0.04439805000001229, | |
0.04398079000000621, | |
0.0450634419999858, | |
0.04296769999999128, | |
0.04487713399998938, | |
0.04378512599998885, | |
0.044674987000007604, | |
0.04468192999999587, | |
0.043704244999986486, | |
0.04519417599999542, | |
0.04612792899999363, | |
0.044912600999992947, | |
0.044689664000003404, | |
0.045021002999988013, | |
0.044612389999997504, | |
0.04501403099999379, | |
0.03948202300000503, | |
0.03851636100000633, | |
0.03825432099998238 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 22.793959632016417 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.5313759828225162e-06, | |
"ram": 6.399302376830719e-08, | |
"gpu": 0.0, | |
"total": 1.5953690065908233e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 626814.2328632298 | |
} | |
} | |
} | |
} |