1 #!/usr/bin/env python-for-pytorch
5 from torchvision import datasets
9 x = torch.ByteTensor(4, 5).fill_(0)
13 mylib.generate_sequence(8, x)
17 x = x.float().sub_(128).div_(128)
19 for s in range(0, x.size(0)):
20 torchvision.utils.save_image(x[s], 'example_' + str(s) + '.png')