Ejaaz Merali
Ejaaz Merali
Tried creating a cplx-torch version of np.prod, didn't actually improve GPU performance (in fact it made it slightly slower) Implementation of cplx.prod was as so: - Calculate arg of every...
it's applicable for triangular/hexagonal/kagome as well probably also for higher dimensional bravais lattices, though i don't know how it'd be implemented in those cases
i'm not quite sure what you mean by flattening?
> Or if you have a periodic boundary for the square lattice, since Julia's iterator has a shape, it will return a matrix of edges if we collect it, then...
IMO it shouldn't warn *because* it's an internal method. It would be kind of annoying for the user to have to deal with these warnings every time the functions are...