Adds an example ipynb that showcases some basic functionality of LinearOperator and compares the speedups/memory savings compared to a dense tensor approach.
A couple of things are broken that worked on a previuos version, presumably we need to do some more __torch_function__ updates to deal with some of the deprecations on the pytorch end.
Adds an example ipynb that showcases some basic functionality of LinearOperator and compares the speedups/memory savings compared to a dense tensor approach.
A couple of things are broken that worked on a previuos version, presumably we need to do some more
__torch_function__updates to deal with some of the deprecations on the pytorch end.