torch-sla
sparsexlab

torch sparse linear algebra library
- Differentiable: gradients flow through solves, factorizations, and eigensolves via torch.autograd
- Six verified backends: pytorch native Krylov (CPU/CUDA/ROCm), scipy (CPU), cudss (NVIDIA CUDA), strumpack direct (CPU/CUDA/ROCm), pyamg (CPU), amgx (NVIDIA CUDA) — each checked to ‖Ax−b‖/‖b‖ at or near machine precision







