Hi!
I’m using ATen and cpp-extensions with PyTorch to work with sparse matrices on GPU.
But I have faced the problem: CUDA functions assume matrices to have fortran-style ordering, when PyTorch (ATen) tensors are stored in C-style.
Could you tell me how can I change PyTorch tensor ordering?