Hi!
Is there a way to train a GAN without images, but rather numpy data/torch tensors? My data would be the equivalent of 5-6+ channel images, and I don’t know if such a format exists and whether torchvision would support the extension. So, is it possible to follow the generic DCGAN tutorial for example, but exchange images for arrays/tensors?
Thanks!