According to this link, we need to give the input to the layer in the format of (Batch x the_size). But what I have worked with Pytorch, it is always able to recognize the difference between Batched-Input and Non-Batched Input(also as you said).
- So why it this point we need to define an extra dimension for batch before passing to the layer.
- If it can already create the distinct output for
Batched(4D Input)andNon-Batched(3D Input), then why it is throwing aValue Error. - If it can process both the
4D Inputand3D Input,why it expecting 4D Input.
The specific Layer I was getting Issue with was Batch Norm 2d
Sorry for replying Late : )