While @nemo's solution works fine, there is a pytorch internal routine, ... that padding your tensor with zeros and then multiplying it with ... ... <看更多>

I want to implment such padding operations within the pytorch framework. The traditional padding operations add zero at the boundary of the ... ... <看更多>

One thing that I found a bit lacking in my implementations of differentiable (neural) cellular automata is that, with zero-padding, ... ... <看更多>

Once the mask values for the pads are zeros the gradients would be zeroed, ... And if you use Pytorch you just input the reversed and padded ... ... <看更多>

Typically, we set the values of the extra pixels to zero. In :numref: img_conv_pad , we pad a $3 \times 3$ input, increasing its size to $5 \times 5$. ... <看更多>

Grasp the importance of Pack Padding feature. ... Multi-label classification is the task of assigning zero or more labels, from a fixed set to each data ... ... <看更多>