IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
ffbdd8a
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": 16757.334016, | |
| "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": "bc977b19adf337e8eb02985f3cceb35e1a783a1c", | |
| "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": 960.303104, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 4.324924635000002, | |
| "mean": 4.324924635000002, | |
| "stdev": 0.0, | |
| "p50": 4.324924635000002, | |
| "p90": 4.324924635000002, | |
| "p95": 4.324924635000002, | |
| "p99": 4.324924635000002, | |
| "values": [ | |
| 4.324924635000002 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 5.0664571921030684e-05, | |
| "ram": 2.1175487599574204e-06, | |
| "gpu": 0, | |
| "total": 5.27821206809881e-05 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 874.213376, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 23, | |
| "total": 1.024896239999805, | |
| "mean": 0.044560706086948045, | |
| "stdev": 0.001703458453244127, | |
| "p50": 0.044417064000015216, | |
| "p90": 0.04676811659995792, | |
| "p95": 0.04747324170000979, | |
| "p99": 0.048084412080004316, | |
| "values": [ | |
| 0.04397235199996885, | |
| 0.04823778200000106, | |
| 0.04362385799998947, | |
| 0.044742082999960076, | |
| 0.04388662100001284, | |
| 0.04306275799996229, | |
| 0.04419326499998988, | |
| 0.04222821399997656, | |
| 0.04435029999996232, | |
| 0.04545762399999376, | |
| 0.045275963999984015, | |
| 0.04754064600001584, | |
| 0.044661722000000736, | |
| 0.0456377909999901, | |
| 0.04367803000002368, | |
| 0.044417064000015216, | |
| 0.04368104599996059, | |
| 0.04450388700001895, | |
| 0.04450662200002853, | |
| 0.046866602999955376, | |
| 0.0463741709999681, | |
| 0.044116417999987334, | |
| 0.039881419000039386 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 22.441296106232546 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.5084392494625516e-06, | |
| "ram": 6.303886292017344e-08, | |
| "gpu": 0.0, | |
| "total": 1.571478112382725e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 636343.5749568082 | |
| } | |
| } | |
| } | |
| } |