Lines Matching +full:3 +full:aopen

28     >>> torch.zeros(2, 3, names=('N', 'C'))
54     >>> imgs = torch.randn(1, 2, 2, 3 , names=('N', 'C', 'H', 'W'))
69     >>> imgs = torch.randn(1, 2, 2, 3 , names=(None, 'C', 'H', 'W'))
88     >>> x = torch.randn(3, 3, names=('N', 'C'))
119     x = torch.randn(3, names=('X',))
120     y = torch.randn(3)
121     z = torch.randn(3, names=('Z',))
167     >>> num_channels = 3
169     >>> imgs = torch.rand(3, 3, 3, num_channels, names=('N', 'H', 'W', 'C'))
170     >>> more_imgs = torch.rand(3, num_channels, 3, 3, names=('N', 'C', 'H', 'W'))
171     >>> videos = torch.randn(3, num_channels, 3, 3, 3, names=('N', 'C', 'H', 'W', 'D')
190     >>> tensor.permute(5, 4, 0, 1, 2, 3)
199     >>> imgs = torch.randn(32, 3, 128, 128)
207 …>>> unflattened_named_imgs = named_flat_imgs.unflatten('features', [('C', 3), ('H', 128), ('W', 12…
222     >>> x = torch.randn(3, names=('D',))
223     >>> weight = torch.randn(3, names=('D',), requires_grad=True)
225     >>> grad_loss = torch.randn(3)
282 …een filed <https://github.com/pytorch/pytorch/issues?q=is%3Aopen+is%3Aissue+label%3A%22module%3A+n…
313           >>> imgs = torch.randn(32, 3, 128, 128, names=('N', 'C', 'H', 'W'))