config.json

{
    "name": "Mnist_Adapt",
    "SOURCE_DATA": "/mnt/c/Users/PC/Documents/GitHub/Dataset/CVPPP_img_lbl_dict.pkl",
    "TARGET_DATA": "/mnt/c/Users/PC/Documents/GitHub/Dataset/komatsuna_ds.pkl",
    "n_gpu": 1,
    "MNIST_arch": {
        "type": "MnistAdapt",
        "args": {}
    },
    "UNET_ADAPT_arch": {
        "type": "CountAdapt",
        "args": {}
    },
    "data_loader_CVPPP": {
        "type": "CVPPP_DataLoader",
        "args": {
            "data_dir": "data/",
            "batch_size": 2,
            "shuffle": true,
            "validation_split": 0.1,
            "num_workers": 2
        }
    },
    "data_loader_KOMATSUNA": {
        "type": "KOMATSUNA_DataLoader",
        "args": {
            "data_dir": "data/",
            "batch_size": 2,
            "shuffle": true,
            "validation_split": 0.1,
            "num_workers": 2
        }
    },
    "data_loader_MNISTM": {
        "type": "Mnist_M_DataLoader",
        "args": {
            "data_dir": "data/",
            "batch_size": 128,
            "shuffle": true,
            "validation_split": 0.1,
            "num_workers": 2
        }
    },
    "data_loader_MNIST": {
        "type": "MnistDataLoader",
        "args": {
            "data_dir": "data/",
            "batch_size": 128,
            "shuffle": true,
            "validation_split": 0.1,
            "num_workers": 2
        }
    },
    "optimizer_MNIST": {
        "type": "Adam",
        "args": {
            "lr": 0.001,
            "weight_decay": 0,
            "amsgrad": true
        }
    },
    "optimizer_CVPPP": {
        "type": "Adam",
        "args": {
            "lr": 0.001,
            "weight_decay": 0,
            "amsgrad": true
        }
    },
    "density_loss": "mse_loss",
    "class_loss": "nll_loss",
    "domain_loss": "bce_loss",
    "metrics": [],
    "lr_scheduler": {
        "type": "StepLR",
        "args": {
            "step_size": 10,
            "gamma": 0.1
        }
    },
    "trainer": {
        "epochs": 30,
        "save_dir": "saved/",
        "save_period": 2,
        "verbosity": 2,
        "monitor": "min val_loss",
        "early_stop": 10,
        "tensorboard": true
    }
}