automate_training_data.json

{
    "initial_config": {
        "training_parameters": {
            "batch_size": 18,
            "loss": {"name": "DiceLoss"},
            "scheduler": {
                "initial_lr": 0.001
            }
        },
        "default_model":     {
            "name": "Unet",
            "dropout_rate": 0.3,
            "depth": 3
        },
        "path_output": "./tmp/",
        "gpu_ids": [1]
    },

    "expected_config_list_all_combin": [
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=2-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=3-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=4-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=2-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=3-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=4-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'DiceLoss'}-depth=2-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'DiceLoss'}-depth=3-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'DiceLoss'}-depth=4-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=2-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=3-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [2],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=4-gpu_ids=[2]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=2-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=3-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=4-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=2-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=3-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=2-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=4-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'DiceLoss'}-depth=2-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'DiceLoss'}-depth=3-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'DiceLoss'}-depth=4-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=2-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=3-gpu_ids=[5]"
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "gpu_ids": [5],
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=4-gpu_ids=[5]"
        }
    ],

    "expected_config_list_neither": [
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-batch_size=2",
            "gpu_ids": [1]
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-batch_size=64",
            "gpu_ids": [1]
        },

        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-loss={'name': 'DiceLoss'}",
            "gpu_ids": [1]
        },
        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}",
            "gpu_ids": [1]
         },
        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "path_output": "./tmp/-depth=2",
            "gpu_ids": [1]
        },
        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-depth=3",
            "gpu_ids": [1]
        },
        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 4
            },
            "path_output": "./tmp/-depth=4",
            "gpu_ids": [1]
        },
        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-gpu_ids=[2]",
            "gpu_ids": [2]
        },
        {
            "training_parameters": {
                "batch_size": 18,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-gpu_ids=[5]",
            "gpu_ids": [5]
        }
    ],
    "expected_config_list_multi_params": [
        {
            "training_parameters": {
                "batch_size": 2,
                "loss": {"name": "DiceLoss"},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 2
            },
            "path_output": "./tmp/-batch_size=2-loss={'name': 'DiceLoss'}-depth=2-gpu_ids=[2]",
            "gpu_ids": [2]
        },
        {
            "training_parameters": {
                "batch_size": 64,
                "loss": {"name": "FocalLoss", "gamma": 0.2, "alpha": 0.5},
                "scheduler": {"initial_lr": 0.001}
            },
            "default_model": {
                "name": "Unet",
                "dropout_rate": 0.3,
                "depth": 3
            },
            "path_output": "./tmp/-batch_size=64-loss={'name': 'FocalLoss', 'gamma': 0.2, 'alpha': 0.5}-depth=3-gpu_ids=[5]",
            "gpu_ids": [5]
        }
    ]
}