in utils/mytransforms.py [0:0]
def _setup_size(size, error_msg): #from torchvision.transforms.transforms (for Pytorch compatibility)
if isinstance(size, numbers.Number):
return int(size), int(size)
if isinstance(size, Sequence) and len(size) == 1:
return size[0], size[0]
if len(size) != 2:
raise ValueError(error_msg)
return size