Make `Numpy` args compitable with `torch` function.

[akshatvishu]

Close #17950

Also, fixed squeeze method not getting properly called at torch_frontend.median implementation.

As discussed with @AnnaTz ; to provide the same compatibility that torch offers within its framework to allow Numpy args as an alias for torch args, we want to add the same functionality to ivy.

Currently, this checks compatibility for all functions at ivy/functional/frontends/torch/reduction_ops.py

[AnnaTz]

I'd say you can go ahead and add the decorator to all torch frontend functions that have an aliased argument.

[AnnaTz]

One ore thing, ideally we would like to have a test for the decorator as well. You can have a look at the rest of the func_wrapper tests I have implemented if you'd like to do this yourself. Otherwise I can do this.

[akshatvishu]

One ore thing, ideally we would like to have a test for the decorator as well. You can have a look at the rest of the func_wrapper tests I have implemented if you'd like to do this yourself. Otherwise I can do this.

The test for it should be added at ivy_tests/test_ivy/test_misc/test_func_wrapper.py ?

[AnnaTz]

One ore thing, ideally we would like to have a test for the decorator as well. You can have a look at the rest of the func_wrapper tests I have implemented if you'd like to do this yourself. Otherwise I can do this.

The test for it should be added at ivy_tests/test_ivy/test_misc/test_func_wrapper.py ?

ivy_tests/test_ivy/test_frontends/test_torch/test_func_wrapper.py

[akshatvishu]

Hey @AnnaTz , thanks for the review and all the suggestions! Had a blast working on this one. Going to do a double-check on the rest of the files at torch_frontend to make sure I didn't skip over anything. Catch you in the next PR!