{
    "import": [
        "$import glob",
        "$import os",
        "$import torchvision"
    ],
    "bundle_root": ".",
    "model_dir": "$@bundle_root + '/models'",
    "output_dir": "$@bundle_root + '/output'",
    "data": {
        "_target_": "scripts.createList.CreateImageLabelList",
        "filename": "./configs/sample_image_data.json"
    },
    "test_imagelist": "$@data.create_dataset('Test')[0]",
    "test_labellist": "$@data.create_dataset('Test')[1]",
    "dataset": {
        "_target_": "CacheDataset",
        "data": "$[{'image': i, 'label': l} for i, l in zip(@test_imagelist, @test_labellist)]",
        "transform": "@preprocessing",
        "cache_rate": 1,
        "num_workers": 4
    },
    "dataloader": {
        "_target_": "DataLoader",
        "dataset": "@dataset",
        "batch_size": 4,
        "shuffle": false,
        "num_workers": 4
    },
    "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",
    "network_def": {
        "_target_": "TorchVisionFCModel",
        "model_name": "inception_v3",
        "num_classes": 4,
        "pool": null,
        "use_conv": false,
        "bias": true,
        "pretrained": true
    },
    "network": "$@network_def.to(@device)",
    "preprocessing": {
        "_target_": "Compose",
        "transforms": [
            {
                "_target_": "LoadImaged",
                "keys": "image"
            },
            {
                "_target_": "EnsureChannelFirstd",
                "keys": "image",
                "channel_dim": 2
            },
            {
                "_target_": "ScaleIntensityd",
                "keys": "image",
                "minv": 0.0,
                "maxv": 1.0
            },
            {
                "_target_": "Resized",
                "keys": "image",
                "spatial_size": [
                    299,
                    299
                ]
            }
        ]
    },
    "inferer": {
        "_target_": "SimpleInferer"
    },
    "postprocessing": {
        "_target_": "Compose",
        "transforms": [
            {
                "_target_": "Activationsd",
                "keys": "pred",
                "sigmoid": true
            }
        ]
    },
    "handlers": [
        {
            "_target_": "CheckpointLoader",
            "load_path": "$@model_dir + '/model.pt'",
            "load_dict": {
                "model": "@network"
            }
        },
        {
            "_target_": "StatsHandler",
            "iteration_log": false,
            "output_transform": "$lambda x: None"
        },
        {
            "_target_": "ClassificationSaver",
            "output_dir": "@output_dir",
            "batch_transform": "$monai.handlers.from_engine(['image_meta_dict'])",
            "output_transform": "$monai.handlers.from_engine(['pred'])"
        }
    ],
    "evaluator": {
        "_target_": "SupervisedEvaluator",
        "device": "@device",
        "val_data_loader": "@dataloader",
        "network": "@network",
        "inferer": "@inferer",
        "postprocessing": "@postprocessing",
        "val_handlers": "@handlers",
        "amp": true
    },
    "evaluating": [
        "$setattr(torch.backends.cudnn, 'benchmark', True)",
        "$@evaluator.run()"
    ]
}