_th_addr_out not supported on CPUType for ComplexFloat
I am trying to use a customized loss function for my NN. I've implemented all operations in torch and I have complex numbers among my data.
I get the error while training a NN:
RuntimeError: _th_addr_out not supported on CPUType for ComplexFloat 

Do you know any possible solution to deal with it?

Well it seems Complex Autograd in PyTorch is currently in a prototype state, and the backward functionality for some of function is not included.
For example:  torch.sign, which is used in the backward computation of torch.abs, is not defined for complex tensors. same for torch.mv. So I debugged my code line by line to find the functions which are not included, and replaced them with a customized function :)
Hope for a lot more functions to be included in the next release of PyTorch.
