Pads the input tensor boundaries with a constant value.

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: $(N, C, D_{in}, H_{in}, W_{in})$

• Output: $(N, C, D_{out}, H_{out}, W_{out})$ 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: