I have complex data which I would like to use to train the network in the torch. I have managed to create a net and all tensors.
However, as soon as I start training, I get the following error:
grad can be implicitly created only for real scalar outputs but got the torch.complex64
This happens during the call: loss.backward()
I wonder, is it possible to use the torch to perform training with complex data? If so, does anybody have experience with what has to be adjusted?
I wonder, is it possible to use the torch to perform training with complex data? If so, does anybody have experience with what has to be adjusted? Or how to reformulate the problem?