Co-authored-by: Max Schanner <arthus@gfz-potsdam.de>

Introduced in f9dfe702

* Add Pytorch support for Cum Op

* Modify test for Cum op

* Raise TypeError if axis not int or None

* Fix init method of CumOp

* Extend tutorial on documentation for Pytorch

* Add tab for Numba

* Add intersphinx mapping

* Parametrize dtype

Otherwise we end up with multiple RVs if the RNGs are an output / used elsewhere in the function

* Added det-diag rewrite

* fixed pt.diagonal error

* Added test for rewrite

* Added test for rewrite

* fixed test

* added check for verifying rewrite

* fixed other failing test

* added docstring

* updated docstring

* fixed mypy error

* added det_diag_from_diag and test

* fixed node rewriter name

* added row/col tests

* updated check for eye

* updated rewrite and tests

* added check for eye_input and new test for cases where not to apply rewrite

* does not apply rewrite to specific cases

* typecasted test variable

* typecast variables

* removed shape known check; fails for rectangle eye

* added new tests for (1,1) eye and rectangle eye

* added helper function for diag from eye_mul

* updated case for no rewrite which was failing tests

* cleaned code; updated rectangle_eye test which is an invalid rewrite

* add check for k in pt.eye

* Update pytensor/tensor/rewriting/linalg.py
Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

* typecasted det_val

* fixed final typecasting

* fixed merge

* fixed failing rectangle eye test

* fixed typo

---------
Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

The check was failing incorrectly for cases that are supported such as constant Boolean arrays.
Besides that, user may dispatch without necessarily jitting the graph. There is no reason to fail eagerly.

Co-authored-by: HarshvirSandhu <harshvir2173@gmail.com>

Co-authored-by: Jesse Grabowski <48652735+jessegrabowski@users.noreply.github.com>

Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>