Solved by ptrblck in post #2 
              
              
                This code might help: 
x = torch.randn(1, 256, 1, 3, 3)
conv = nn.ConvTranspose3d(in_channels=256,
                          out_channels=64,
                          kernel_size=(1, 4, 4),
                          stride=(1, 2, 2),
                          padding=(0, 1, 1),
                    …