Hi Vishak,
To understand the problem, you have a Tensor with this dim [B, N, X, Y]
, where B=Batch size
, N=Length of the data
, and X, Y=dim of your input
.
The issue that you are trying to solve is that every N
-element has a different X, Y
size.
If that is the problem and the issue that you are having, I would suggest padding using pad_sequence
module, so every N
-element has a constant size which is the max size in your dataset. Look into this post for more information.
Then, you will be using the stack
module to stack those tensors on the second dimension.