IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
c6965eb
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.0+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": 16757.338112, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": "5db40d6ac008e1084f2d5d94bfa9d3c5d3529a27", | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.33.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 969.027584, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 4.472623319000007, | |
| "mean": 4.472623319000007, | |
| "stdev": 0.0, | |
| "p50": 4.472623319000007, | |
| "p90": 4.472623319000007, | |
| "p95": 4.472623319000007, | |
| "p99": 4.472623319000007, | |
| "values": [ | |
| 4.472623319000007 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 5.1548518116666746e-05, | |
| "ram": 2.1545001549193295e-06, | |
| "gpu": 0, | |
| "total": 5.370301827158608e-05 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 882.671616, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 26, | |
| "total": 1.026356251999971, | |
| "mean": 0.039475240461537345, | |
| "stdev": 0.0008680852766239873, | |
| "p50": 0.03908070050000845, | |
| "p90": 0.040606543499990266, | |
| "p95": 0.04077338000000452, | |
| "p99": 0.04225262475002012, | |
| "values": [ | |
| 0.039861961000013935, | |
| 0.03911518500001421, | |
| 0.03888882999999055, | |
| 0.03894753000000151, | |
| 0.03901163699998733, | |
| 0.03964538400001061, | |
| 0.038630734000008715, | |
| 0.038987814999984494, | |
| 0.038870825000003606, | |
| 0.03892070899999567, | |
| 0.04049954199999206, | |
| 0.04079332500000987, | |
| 0.03948452999998153, | |
| 0.03952953500001399, | |
| 0.03904621600000269, | |
| 0.038810139999981175, | |
| 0.03971605699999259, | |
| 0.03954880199998456, | |
| 0.03949396900000579, | |
| 0.03931616399998461, | |
| 0.0390241339999875, | |
| 0.03893727100000888, | |
| 0.04273905800002353, | |
| 0.04071354499998847, | |
| 0.038862810000011905, | |
| 0.03896054399999116 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 25.332334605392685 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.5134424876068295e-06, | |
| "ram": 6.324406654514368e-08, | |
| "gpu": 0.0, | |
| "total": 1.5766865541519732e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 634241.4713733979 | |
| } | |
| } | |
| } | |
| } |