Hi,

I have a tensor, t = torch.Size([71, 32, 1])

This means I have 32 , 71 dimensional vectors or 32 x 71, 1 dimensional vectors.

I want to create 32, 100 dimensional vectors i.e. 32 x 100, 1 dimensional vectors.

The padding, F.pad, how should it be used in this case?

I Keep getting:

AssertionError: Padding length must be divisible by 2.