Extrapolated on equiv between linalg @ and solve (#71769)
Summary:
Potentially fixes https://github.com/pytorch/pytorch/issues/71385 similar docstring could also fix https://github.com/pytorch/pytorch/issues/71384
Updated the doc to `torch.linalg.inv` to include nuance around equivalence to `torch.linalg.solve`:
Update is below:
```
.. note::
Consider using :func:`torch.linalg.solve` if possible for multiplying a matrix on the left by
the inverse, as::
linalg.solve(A, B) == linalg.inv(A) @ B # When B is a matrix
It is always prefered to use :func:`~solve` when possible, as it is faster and more
numerically stable than computing the inverse explicitly.
```
IvanYashchuk please inform if this the right direction or over-extrapolation. I can apply the same changes to the `tensorinv` doc to fix https://github.com/pytorch/pytorch/issues/71384. Also in https://github.com/pytorch/pytorch/issues/71384 there was a mention of updating `torch.matmul` error message to indicate the proper tensor shapes, I could also potentially do that in this PR if needed.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/71769
Reviewed By: H-Huang
Differential Revision: D34242541
Pulled By: mruberry
fbshipit-source-id: 40e98dad4d821928d1dea72d4512ee579b690a32
(cherry picked from commit a0321a5de9ddc5bbcd2203bba20cb6751e98f126)
