Description

For elemwise functions that are idempotent at 0 such that f(0) = 0, it is safe to always use astructured_ function, rather than converting back to dense.

Such functions aresinh,tanh,arcsin,arctan,arcsinh,deg2rad,rad2deg,expm1, andlog1p.

I also removed the dense_override on.transpose, which now callsself.T. I think this is fine for now, since we're only supporting sparse matrices, not general sparse arrays. Previously,sparse.T returned a sparse, butsparse.transpose returned a dense, which is baffling.

copy seems like another low-hanging fruit, but I'm leaving it for another time because it was slightly harder to reason about than the functions in this PR.

Related Issue

• Closes #
• Related toSparse TensorVariables are not using the Sparse Elemwise methods #272

Checklist

• Checked thatthe pre-commit linting/style checks pass
• Included tests that prove the fix is effective or that the new feature works
• Added necessary documentation (docstrings and/or example notebooks)
• If you are a pro: each commit corresponds to arelevant logical change

Type of change

• New feature / enhancement
• Bug fix
• Documentation
• Maintenance
• Other (please specify):