Added support for atleast_1d, atleast_2d, atleast_3d

[hinriksnaer]

Proposed changes

Feature addition for the following issue. The code is based on the numpy implementation. PyTorch provides similar functionality but is limited to only Tensors and implements it in the C++ backend. Perhaps this is a good place to start?

Any feedback regarding the documentation, tests and implementation would be much appreciated.

Checklist

Put an x in the boxes that apply.

• I have read the CONTRIBUTING document
• I have run pre-commit run --all-files to format my code / installed pre-commit prior to committing changes
• I have added tests that prove my fix is effective or that my feature works
• I have updated the necessary documentation (if needed)

[awni]

Don't need a separate page in the docs for this, I would just put them in the ops.rst list.

[awni]

These should be implemented in C++ not Python and then bound to Python via Pybind (the same as all the rest of our ops).

[awni]

These should follow the implementation of all of our other ops (C++ and then bound to Python). Are you up for doing the C++ implementation?

[hinriksnaer]

Thanks for the feedback! Yes, I'll get started on implementing the functionality using C++. Just to be sure, I presume that you want the functionality to be added here, correct?

Please let me know if there is anything else you would want me to know before getting started.

[awni]

That's exactly right!