reshaping a tensor with padding in pytorch

Question

I have a tensor with dimensions (30, 35, 49). I want to reshape it to (30, 35, 512) in order to be able to multiply with another tensor which has also

Answer 1

The simplest solution is to allocate a tensor with your padding value and the target dimensions and assign the portion for which you have data:

target = torch.zeros(30, 35, 512)
source = torch.ones(30, 35, 49)
target[:, :, :49] = source

Note that there is no guarantee that padding your tensor with zeros and then multiplying it with another tensor makes sense in the end, that is up to you.