es. If a 6-`tuple`, uses
            (:math:`\text{padding\_left}`, :math:`\text{padding\_right}`,
            :math:`\text{padding\_top}`, :math:`\text{padding\_bottom}`,
            :math:`\text{padding\_front}`, :math:`\text{padding\_back}`)

    Shape:
        - Input: :math:`(N, C, D_{in}, H_{in}, W_{in})` or :math:`(C, D_{in}, H_{in}, W_{in})`.
        - Output: :math:`(N, C, D_{out}, H_{out}, W_{out})` or :math:`(C, D_{out}, H_{out}, W_{out})`,
          where

          :math:`D_{out} = D_{in} + \text{padding\_front} + \text{padding\_back}`

          :math:`H_{out} = H_{in} + \text{padding\_top} + \text{padding\_bottom}`

          :math:`W_{out} = W_{in} + \text{padding\_left} + \text{padding\_right}`

    Examples::

        >>> # xdoctest: +IGNORE_WANT("not sure why xdoctest is choking on this")
        >>> m = nn.ReflectionPad3d(1)
        >>> input = torch.arange(8, dtype=torch.float).reshape(1, 1, 2, 2, 2)
        >>> m(input)
        tensor([[[[[7., 6., 7., 6.],
                   [5., 4., 5., 4.],
                   [7., 6., 7., 6.],
                   [5., 4., 5., 4.]],
                  [[3., 2., 3., 2.],
                   [1., 0., 1., 0.],
                   [3., 2., 3., 2.],
                   [1., 0., 1., 0.]],
                  [[7., 6., 7., 6.],
                   [5., 4., 5., 4.],
                   [7., 6., 7., 6.],
                   [5., 4., 5., 4.]],
                  [[3., 2., 3., 2.],
                   [1., 0., 1., 0.],
                   [3., 2., 3., 2.],
                   [1., 0., 1., 0.]]]]])
    r