feat: Add frontend jax.numpy.fft.ifftn

[Medo072]

PR Description

Related Issue

• jax.numpy.fft.ifftn #28549

Closes #28549

Checklist

• Did you add a function?
• Did you add the tests?
• Did you run your tests and are your tests passing?
• Did pre-commit not fail on any check?
• Did you follow the steps we provided?

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[Ishticode]

Hi @Medo072
Thank you very much for the PR.
Currently the test_jax_numpy_ifftn seems to fail with torch and numpy backends. You can check the ci logs here https://github.com/unifyai/ivy/actions/runs/8235689979/job/22521391264?pr=28550 under combined test result by searching for test_jax_numpy_ifftn. Alternatively you can run the tests locally with --backend torch and --num-examples 200 to catch the failures. Hope that helps. Let me know if something is unclear. :)

[Medo072]

there was an issue in the _x_and_ifftn function in test_layers.py as Jax only accept axes of max size = 3 but the function doesn't handle this case, so, I added a new function to handle this case in test_layers.py.

[Ishticode]

looks good and passing the test. Thank you very much @Medo072 for the effort put in this contribution :)