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