IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
af97db0
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.5.1+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": 2, | |
| "sequence_length": 16, | |
| "num_choices": 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": 16766.779392, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39", | |
| "processor": "x86_64", | |
| "python_version": "3.10.15", | |
| "optimum_benchmark_version": "0.5.0.dev0", | |
| "optimum_benchmark_commit": "b28613edd07775950ebcafe798ccfb9a5b1d3c5b", | |
| "transformers_version": "4.47.0", | |
| "transformers_commit": null, | |
| "accelerate_version": "1.2.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.31.0", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.12", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "load_model": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 988.389376, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 1.308467114999985 | |
| ], | |
| "count": 1, | |
| "total": 1.308467114999985, | |
| "mean": 1.308467114999985, | |
| "p50": 1.308467114999985, | |
| "p90": 1.308467114999985, | |
| "p95": 1.308467114999985, | |
| "p99": 1.308467114999985, | |
| "stdev": 0, | |
| "stdev_": 0 | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 0.0001792446601166669, | |
| "ram": 7.496704147435626e-06, | |
| "gpu": 0, | |
| "total": 0.00018674136426410253 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 922.46016, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.08840659599999867, | |
| 0.0876185850000013, | |
| 0.08710188099999527, | |
| 0.08676952999999799, | |
| 0.08771311099999934, | |
| 0.08771128800000838, | |
| 0.08813504899998748, | |
| 0.08650458599998956, | |
| 0.08685944900000209, | |
| 0.08760871600000542, | |
| 0.08849993000001177, | |
| 0.08230108199998654 | |
| ], | |
| "count": 12, | |
| "total": 1.0452298029999838, | |
| "mean": 0.08710248358333199, | |
| "p50": 0.08761365050000336, | |
| "p90": 0.08837944129999756, | |
| "p95": 0.08844859630000457, | |
| "p99": 0.08848966326001033, | |
| "stdev": 0.0015696804494167178, | |
| "stdev_": 1.802107568970735 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 22.961457787671186 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 3.4170772287036026e-06, | |
| "ram": 1.4287729989421092e-07, | |
| "gpu": 0.0, | |
| "total": 3.5599545285978143e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 561804.9286679386 | |
| } | |
| } | |
| } | |
| } |