{
    "config": {
        "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "image-classification",
            "library": "transformers",
            "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": {},
            "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": "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",
                "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": false
        },
        "launcher": {
            "name": "process",
            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
            "device_isolation": true,
            "device_isolation_action": "error",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 128,
            "cpu_ram_mb": 1082015.236096,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "Advanced Micro Devices, Inc. [AMD/ATI]"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 68702699520,
            "optimum_benchmark_version": "0.2.1",
            "optimum_benchmark_commit": "1ba65d84c92c93ea19ab2d2293c92bced987bae2",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.1",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.3",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 2193.301504,
                "max_global_vram": 3407.745024,
                "max_process_vram": 475798.401024,
                "max_reserved": 1935.671296,
                "max_allocated": 1738.014208
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 2.937231994628906,
                "mean": 0.5874463989257812,
                "stdev": 1.0908563911056588,
                "p50": 0.0416140251159668,
                "p90": 1.6799850402832033,
                "p95": 2.224569668579101,
                "p99": 2.6602373712158203,
                "values": [
                    2.769154296875,
                    0.0416140251159668,
                    0.040980262756347655,
                    0.04623115539550781,
                    0.039252254486083986
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 17.02282968843837
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 2193.301504,
                "max_global_vram": 3407.745024,
                "max_process_vram": 475798.401024,
                "max_reserved": 1935.671296,
                "max_allocated": 1738.014208
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 2.8107683219909667,
                "mean": 1.4053841609954834,
                "stdev": 1.3637701358795167,
                "p50": 1.4053841609954834,
                "p90": 2.496400269699097,
                "p95": 2.6327772832870484,
                "p99": 2.7418788941574097,
                "values": [
                    2.769154296875,
                    0.0416140251159668
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 2.8461968698769584
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 2193.301504,
                "max_global_vram": 3407.745024,
                "max_process_vram": 475798.401024,
                "max_reserved": 1935.671296,
                "max_allocated": 1738.014208
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 0.12646367263793945,
                "mean": 0.04215455754597982,
                "stdev": 0.002967657961603965,
                "p50": 0.040980262756347655,
                "p90": 0.045180976867675776,
                "p95": 0.0457060661315918,
                "p99": 0.046126137542724606,
                "values": [
                    0.040980262756347655,
                    0.04623115539550781,
                    0.039252254486083986
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 142.3333643925817
            },
            "energy": null,
            "efficiency": null
        }
    }
}