I've gone through the official doc. I'm having a hard time understanding what this function is used for and how it works. Can someone explain this in Layman terms?
I get an error for the example they provide, although the Pytorch version I'm using matches the documentation. Perhaps fixing the error, which I did, is supposed to teach me something? The snippet given in the documentation is:
fold = nn.Fold(output_size=(4, 5), kernel_size=(2, 2))
input = torch.randn(1, 3 * 2 * 2, 1)
output = fold(input)
output.size()
and the fixed snippet is:
fold = nn.Fold(output_size=(4, 5), kernel_size=(2, 2))
input = torch.randn(1, 3 * 2 * 2, 3 * 2 * 2)
output = fold(input)
output.size()
Thanks!