factorization methods are somewhat uncommonly used in deep learning (the likely target of this framework) and have compute properties (such as approximate outputs, non-deterministic number of iterations) that make them unlike the BLAS++ standard APIs.
einsum seems like a reasonable thing to request, but it's hard to be performant across the entire surface exposed by the operation.
einsum seems like a reasonable thing to request, but it's hard to be performant across the entire surface exposed by the operation.