img = input[i].clone()
img.sub_(img.min())
img.div_(img.max())
- filename = mistake_filename_pattern.format(b + i, target[i])
+ k = b * data_set.batch_size + i
+ filename = mistake_filename_pattern.format(k, target[i])
torchvision.utils.save_image(img, filename)
print(Fore.RED + 'Wrote ' + filename + Style.RESET_ALL)
return ne