Hi Tom and thank you for your quick reply,
Thanks for the links, but frankly, this seems to be out of my league.
Moreover, as far as I understand, pytorch-cpu-strided-complex would help me get complex type tensors, but not so much to getting complex operations. Am I wrong about that?
And without complex matrix multiplication, for instance, it is no use to me.
I am good for now using my rough Python implementation, while I am perfectly aware of the fact that it is far from optimal.
My question is them, from the two methods I proposed, which is the best? Is the slicing thing in the second forward implementation reasonable or does it create useless memory usage?