 (as required by the frontalization model)     preprocess = transforms.Compose((transforms.ToPILImage(),                                      transforms.Resize(size = (128, 128)),                                      transforms.ToTensor()))     input_tensor = torch.unsqueeze(preprocess(image), 0)         