


unpool = nn.MaxUnpool3d(3, stride=2)
      >>> output, indices = pool(torch.randn(20, 16, 51, 33, 15))
      >>> unpooled_output = unpool(output, indices)
      >>> unpooled_output.size()
      torch.Size([20, 16, 51, 33, 15])


