data_utils/functions.py [166:181]:
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            interpolation = transforms.RandomResizedCrop(224).interpolation
            train_dataset = datasets.ImageFolder(
                traindir,
                transforms.Compose(
                    [
                        transforms.Resize(256),  # ensures that the minimal size is 256
                        transforms.CenterCrop(224),
                        transforms.ToTensor(),  # torch.nn.functional.pad needs a tensor as input
                        transforms.RandomAffine(
                            0,
                            translate=(args.tvalues[0], args.tvalues[1]),
                            scale=None,
                            shear=None,
                            fill=0,
                            interpolation=interpolation,
                        ),  # translate
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data_utils/functions.py [310:325]:
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            interpolation = transforms.RandomResizedCrop(224).interpolation
            train_dataset = datasets.ImageFolder(
                traindir,
                transforms.Compose(
                    [
                        transforms.Resize(256),  # ensures that the minimal size is 256
                        transforms.CenterCrop(224),
                        transforms.ToTensor(),  # torch.nn.functional.pad needs a tensor as input
                        transforms.RandomAffine(
                            0,
                            translate=(args.tvalues[0], args.tvalues[1]),
                            scale=None,
                            shear=None,
                            fill=0,
                            interpolation=interpolation,
                        ),  # translate
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