data_utils/functions.py [195:208]:
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                        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
                        RandomSizeResizedCenterCropSquaredUniformInv(224, ratio = (1.,1.),interpolation=interpolation),
                        normalize,
                    ]
                ),
            )
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data_utils/functions.py [215:228]:
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                        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
                        RandomSizeResizedCenterCropSquaredUniformInv(224, ratio = (1.,1.),interpolation=interpolation),
                        normalize,
                    ]
                ),
            )
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