Hi,
I would like to keep an encoder and decoder as seperate classes, bur i would also like to use maxpool & maxunpool.
When the network trains and I try and explore the latent domain by placing random vectors into the trained decoder section I get an error (no indices for the maxunpool). Removing these layers means that the network does not perform as well.
I have tried to replace with avgpool2d but this doesn’t improve the situation, so the question is there an alternative to Maxpool/unpool or is there a way to use these without passing the indices=true switch?
Can i save the indices from the training model, so that i can reload them in the trained model?
so many questions…
Thanks,
Chaslie