IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
6920bae
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.1+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": 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": null, | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16766.7712, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.15", | |
| "optimum_benchmark_version": "0.5.0", | |
| "optimum_benchmark_commit": "c1918e1b0948d4915a69908fd778b3f53a5aa600", | |
| "transformers_version": "4.45.1", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.3", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 969.60512, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 1.345379209999976 | |
| ], | |
| "count": 1, | |
| "total": 1.345379209999976, | |
| "mean": 1.345379209999976, | |
| "p50": 1.345379209999976, | |
| "p90": 1.345379209999976, | |
| "p95": 1.345379209999976, | |
| "p99": 1.345379209999976, | |
| "stdev": 0, | |
| "stdev_": 0 | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 883.621888, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.049347118000014234, | |
| 0.05010485799999742, | |
| 0.0474158760000023, | |
| 0.04547895600001084, | |
| 0.045899964999989606, | |
| 0.049931011000012404, | |
| 0.04510426399997414, | |
| 0.04375544499998796, | |
| 0.0437664049999853, | |
| 0.04628468599997859, | |
| 0.04544882000004691, | |
| 0.04564213199995493, | |
| 0.04582695800002057, | |
| 0.043818552999994154, | |
| 0.04393917900000588, | |
| 0.042750409999996464, | |
| 0.04430573600001253, | |
| 0.043489305999969474, | |
| 0.042554533999975774, | |
| 0.04523385599998164, | |
| 0.044188227000006464, | |
| 0.04585695499997655 | |
| ], | |
| "count": 22, | |
| "total": 1.0001432499998941, | |
| "mean": 0.045461056818177005, | |
| "p50": 0.045341338000014275, | |
| "p90": 0.04915399380001304, | |
| "p95": 0.04990181635001249, | |
| "p99": 0.05006835013000057, | |
| "stdev": 0.002081029084599479, | |
| "stdev_": 4.577608243738424 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 21.996848951390042 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.6962059299516576e-06, | |
| "ram": 7.092491758256037e-08, | |
| "gpu": 0.0, | |
| "total": 1.7671308475342181e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 565889.0519597679 | |
| } | |
| } | |
| } | |
| } |