In Pytorch’s nn.ConvTranspose2d module, we can set the stride to be larger than the kernel_size.
For example:
- Input matrix of size 2x2
- Kernel of size 2x2 (
kernel_size=2) - Stride of 4 (
stride=4).
The output image will have dimensions 6x6.
What is going on here?