ConstantPad3d
class torch.nn.ConstantPad3d(padding, value)
Pads the input tensor boundaries with a constant value.
For N-dimensional padding, use "torch.nn.functional.pad()".
Parameters:
      padding (int, tuple) -- the size of the padding. If is
      int, uses the same padding in all boundaries. If a 6-tuple,
      uses (\text{padding_left}, \text{padding_right},
      \text{padding_top}, \text{padding_bottom},
      \text{padding_front}, \text{padding_back})
Shape:
      * Input: (N, C, D_{in}, H_{in}, W_{in}) or (C, D_{in}, H_{in},
        W_{in}).
  * Output: (N, C, D_{out}, H_{out}, W_{out}) or (C, D_{out},
    H_{out}, W_{out}), where

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

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

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

Examples:
  >>> m = nn.ConstantPad3d(3, 3.5)
