IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
d870bad
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_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": {}, | |
| "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, | |
| "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": "33013b51e0268a2fd7f07c903783b994ac1e0021", | |
| "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": 963.198976, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 4.352177931999961, | |
| "mean": 4.352177931999961, | |
| "stdev": 0.0, | |
| "p50": 4.352177931999961, | |
| "p90": 4.352177931999961, | |
| "p95": 4.352177931999961, | |
| "p99": 4.352177931999961, | |
| "values": [ | |
| 4.352177931999961 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 5.1083918412526455e-05, | |
| "ram": 2.135096057775172e-06, | |
| "gpu": 0, | |
| "total": 5.3219014470301625e-05 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 876.941312, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 24, | |
| "total": 1.0279229290000558, | |
| "mean": 0.04283012204166899, | |
| "stdev": 0.0019246788466403865, | |
| "p50": 0.0432004809999853, | |
| "p90": 0.0444373321000171, | |
| "p95": 0.044739973850036564, | |
| "p99": 0.0448792903099968, | |
| "values": [ | |
| 0.043857488999947236, | |
| 0.04452256000001853, | |
| 0.04225450399997044, | |
| 0.044778341000039745, | |
| 0.0431085900000312, | |
| 0.04304060300000856, | |
| 0.04408195100000967, | |
| 0.04194681500001707, | |
| 0.043457287000023825, | |
| 0.04318220900000824, | |
| 0.04290418599998702, | |
| 0.04270935900001405, | |
| 0.04265712099999064, | |
| 0.043894763000025705, | |
| 0.042411314000048606, | |
| 0.04363866699998198, | |
| 0.043542172999991635, | |
| 0.04345961500001749, | |
| 0.04208258399995657, | |
| 0.04490944399998398, | |
| 0.04423846700001377, | |
| 0.04321875299996236, | |
| 0.03737579799997093, | |
| 0.03665033600003653 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 23.34805394733898 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.4528053287615994e-06, | |
| "ram": 6.071471406016826e-08, | |
| "gpu": 0.0, | |
| "total": 1.5135200428217677e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 660711.4354003703 | |
| } | |
| } | |
| } | |
| } |