import numpy as np
import torch


def tensor2im(input_image, imtype=np.uint8):
    if isinstance(input_image, torch.Tensor):
        input_image = torch.clamp(input_image, -1.0, 1.0)
        image_tensor = input_image.data
    else:
        return input_image.reshape(3, 512, 512).transpose()
    image_numpy = image_tensor[0].cpu().float().numpy()
    if image_numpy.shape[0] == 1:
        image_numpy = np.tile(image_numpy, (3, 1, 1))
    image_numpy = (np.transpose(image_numpy, (1, 2, 0)) + 1) / 2.0 * 255.0
    return image_numpy.astype(imtype)