{ "config": { "name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224", "backend": { "name": "pytorch", "version": "2.4.1+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "image-classification", "library": "transformers", "model_type": "vit", "model": "google/vit-base-patch16-224", "processor": "google/vit-base-patch16-224", "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": "training", "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario", "max_steps": 5, "warmup_steps": 2, "dataset_shapes": { "dataset_size": 500, "sequence_length": 16, "num_choices": 1 }, "training_arguments": { "per_device_train_batch_size": 2, "gradient_accumulation_steps": 1, "output_dir": "./trainer_output", "evaluation_strategy": "no", "eval_strategy": "no", "save_strategy": "no", "do_train": true, "use_cpu": false, "max_steps": 5, "do_eval": false, "do_predict": false, "report_to": "none", "skip_memory_metrics": true, "ddp_find_unused_parameters": false }, "latency": true, "memory": true, "energy": true }, "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": "11fc1578907ddfc66a9a7fb8f19815e001677ad1", "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": "0.30.3", "diffusers_commit": null, "optimum_version": "1.22.0", "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 2504.97024, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.652965982000012, 1.5356038349999608, 1.5328970349999622, 1.5431180680000125, 1.5567133079999849 ], "count": 5, "total": 7.821298227999932, "mean": 1.5642596455999864, "p50": 1.5431180680000125, "p90": 1.6144649124000012, "p95": 1.6337154472000066, "p99": 1.649115875040011, "stdev": 0.04511650796969267, "stdev_": 2.8842083919123165 }, "throughput": { "unit": "samples/s", "value": 6.392800599394358 }, "energy": { "unit": "kWh", "cpu": 0.0003202928187277789, "ram": 1.3396336385569056e-05, "gpu": 0, "total": 0.00033368915511334797 }, "efficiency": { "unit": "samples/kWh", "value": 29968.010187814427 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 2504.97024, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.652965982000012, 1.5356038349999608 ], "count": 2, "total": 3.1885698169999728, "mean": 1.5942849084999864, "p50": 1.5942849084999864, "p90": 1.641229767300007, "p95": 1.6470978746500093, "p99": 1.6517923605300115, "stdev": 0.058681073500025605, "stdev_": 3.6807143558322224 }, "throughput": { "unit": "samples/s", "value": 2.5089618415590955 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2504.97024, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.5328970349999622, 1.5431180680000125, 1.5567133079999849 ], "count": 3, "total": 4.63272841099996, "mean": 1.5442428036666531, "p50": 1.5431180680000125, "p90": 1.5539942599999903, "p95": 1.5553537839999876, "p99": 1.5564414031999854, "stdev": 0.009755425418462017, "stdev_": 0.631728727846341 }, "throughput": { "unit": "samples/s", "value": 3.8853993593193947 }, "energy": null, "efficiency": null } } }