transforms=tfms.Compose([tfms.Resize((256,256)),tfms.Grayscale(num_output_channels=1),
tfms.RandomHorizontalFlip(),tfms.RandomCrop(256, padding=4),
tfms.ToTensor(), tfms.Normalize([0.55],[1])
]))
is there any other preprocessing functions in pytorch other than mention above