Hi @Nikronic - Thanks for your reply. I’m aware of the convolutional convention. As per the PyTorch documentation dilation add spaces between the kernel elements. So it’s effectively inflating the kernel size.
Getting back to my main point, is there any way to convolve an image without dilation in PyTorch? Some of early papers (specifically 2012-2016) on ConvNet, authors just used pain convolution. I want to recreate some of the papers. That’s why I need to convolve an image with out dilation. Any help will be appreciated.
Thanks,
Tomojit