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+ _target_ : nimrod.image.datasets.ImageDataModule
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+ name : " fashion_mnist"
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+ data_dir : " ../data/image"
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+ train_val_split : [0.8, 0.2]
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+ batch_size : 128
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+ num_workers : 0
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+ pin_memory : False
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+ persistent_workers : False
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+ transforms :
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+ _target_ : torchvision.transforms.Compose
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+ transforms :
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+ - _target_ : torchvision.transforms.ToTensor
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+ - _target_ : torchvision.transforms.Resize
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+ size : 32
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+
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+ _target_ : nimrod.image.datasets.ImageDataModule
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+ name : " huggan/smithsonian_butterflies_subset"
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+ data_dir : " ../data/image"
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+ train_val_split : [0.8, 0.2]
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+ batch_size : 128
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+ num_workers : 0
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+ pin_memory : False
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+ persistent_workers : False
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+ transforms :
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+ _target_ : torchvision.transforms.Compose
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+ transforms :
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+ - _target_ : torchvision.transforms.ToTensor
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+ - _target_ : torchvision.transforms.Resize
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+ size : [32,32]
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+ - _target_ : torchvision.transforms.Normalize
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+ mean : [0.5]
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+ std : [0.5]
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+ defaults :
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+ - _self_
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+
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+ model :
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+ - _target_ : nimrod.models.conv.ConvLayer
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+ in_channels : 1
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+ out_channels : 16
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+ kernel_size : 3
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+ bias : true
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+ normalization :
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+ _target_ : hydra.utils.get_class
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+ path : torch.nn.BatchNorm2d
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+ activation :
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+ _target_ : hydra.utils.get_class
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+ path : torch.nn.ReLU
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+
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+ - _target_ : nimrod.models.conv.ConvLayer
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+ in_channels : 16
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+ out_channels : 32
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+ kernel_size : 3
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+ bias : true
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+ normalization :
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+ _target_ : hydra.utils.get_class
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+ path : torch.nn.BatchNorm2d
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+ activation :
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+ _target_ : hydra.utils.get_class
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+ path : torch.nn.ReLU
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