xlogy_

[NiteshK84]

PR Description

adds xlogy_ function to torch frontend

Related Issue

Close #21868

Checklist

• Did you add a function?
• Did you add the tests?
• Did you follow the steps we provided?

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[github-actions]

Thanks for contributing to Ivy! 😊👏
Here are some of the important points from our Contributing Guidelines 📝:
1. Feel free to ignore the run_tests (1), run_tests (2), … jobs, and only look at the display_test_results job. 👀 It contains the following two sections:
- Combined Test Results: This shows the results of all the ivy tests that ran on the PR. ✔️
- New Failures Introduced: This lists the tests that are passing on main, but fail on the PR Fork. Please try to make sure that there are no such tests. 💪
2. The lint / Check formatting / check-formatting tests check for the formatting of your code. 📜 If it fails, please check the exact error message in the logs and fix the same. ⚠️🔧
3. Finally, the test-docstrings / run-docstring-tests check for the changes made in docstrings of the functions. This may be skipped, as well. 📚
Happy coding! 🎉👨‍💻

[Pchatain]

Hi @NiteshK84 nice work! Do you happen to know why the lint check formatting is failing? I can't immediately tell from looking at the code.

Edit: It actually looks like it's due to line 489 https://github.com/unifyai/ivy/blob/77b0bea53593f02940709c025a37a2d30fd69626/ivy/functional/frontends/torch/tensor.py#L489

ne = not_equal

and then it get's redefined in code that you did not write. So looks like an unrelated problem actually.

[NiteshK84]

@Pchatain, yeah because at line 1889
we are redefining the ne function again after aliasing it with not_equal function at line 489

[NiteshK84]

i think we should remove the redefinition of ne from here

[NiteshK84]

but anyways this code has is unrelated with that issue and is ready to merge.
thanks😊

[aparajith21]

Failures seem unrelated, LGTM, thanks for contributing!