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?