{
    "config": {
        "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+cu124",
            "_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": "cuda",
            "device_ids": "0",
            "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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.261056,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "NVIDIA A10G"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 24146608128,
            "optimum_benchmark_version": "0.5.0",
            "optimum_benchmark_commit": null,
            "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": "0.13.0",
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 1629.814784,
                "max_global_vram": 2618.81856,
                "max_process_vram": 0.0,
                "max_reserved": 1956.642816,
                "max_allocated": 1755.291648
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.3367874450683594,
                    0.040586238861083986,
                    0.040548351287841795,
                    0.04043161773681641,
                    0.040220672607421876
                ],
                "count": 5,
                "total": 0.4985743255615235,
                "mean": 0.0997148651123047,
                "p50": 0.040548351287841795,
                "p90": 0.21830696258544924,
                "p95": 0.27754720382690423,
                "p99": 0.32493939682006834,
                "stdev": 0.11853635841268978,
                "stdev_": 118.8753134040619
            },
            "throughput": {
                "unit": "samples/s",
                "value": 100.28595023156694
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1647872386111086e-05,
                "ram": 6.363946366132188e-06,
                "gpu": 2.4253352736000253e-05,
                "total": 4.226517148824353e-05
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 236601.4296849972
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1629.814784,
                "max_global_vram": 2618.81856,
                "max_process_vram": 0.0,
                "max_reserved": 1956.642816,
                "max_allocated": 1755.291648
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.3367874450683594,
                    0.040586238861083986
                ],
                "count": 2,
                "total": 0.37737368392944337,
                "mean": 0.18868684196472169,
                "p50": 0.18868684196472169,
                "p90": 0.30716732444763184,
                "p95": 0.3219773847579956,
                "p99": 0.33382543300628664,
                "stdev": 0.1481006031036377,
                "stdev_": 78.49015944171015
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.199146471209
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1629.814784,
                "max_global_vram": 2618.81856,
                "max_process_vram": 0.0,
                "max_reserved": 1956.642816,
                "max_allocated": 1755.291648
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.040548351287841795,
                    0.04043161773681641,
                    0.040220672607421876
                ],
                "count": 3,
                "total": 0.12120064163208008,
                "mean": 0.04040021387736003,
                "p50": 0.04043161773681641,
                "p90": 0.04052500457763672,
                "p95": 0.040536677932739254,
                "p99": 0.040546016616821286,
                "stdev": 0.0001356047717744528,
                "stdev_": 0.33565359873118067
            },
            "throughput": {
                "unit": "samples/s",
                "value": 148.51406525256922
            },
            "energy": null,
            "efficiency": null
        }
    }
}