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Add nanquantile to PyTorch Frontend #17408

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Add nanquantile to PyTorch Frontend #17408

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srinivasmuzumdar
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Close #17063

@srinivasmuzumdar
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srinivasmuzumdar commented Jun 20, 2023

Frontend Task Checklist

IMPORTANT NOTICE 🚨:

The Ivy Docs represent the ground truth for the task descriptions and this checklist should only be used as a supplementary item to aid with the review process.

LEGEND 🗺:

  • ❌ : Check item is not completed.
  • ✅ : Check item is ready for review.
  • 🆘 : Stuck/Doubting implementation (PR author should add comments explaining why).
  • ⏩ : Check is not applicable to function (skip).
  • 🆗 : Check item is implemented and does not require any edits.

CHECKS 📑:

    • ❌: The function/method definition is not missing any of the original arguments.
    • ❌: In case the function/method to be implemented is an alias of an existing function/method:
        • ❌: It is being declared as such by setting fun1 = fun2, rather than being re-implemented from scratch.
        • ❌: The alias is added to the existing function/method's test in the aliases parameter of handle_frontend_test/handle_frontend_method.
    • ❌: The naming of the function/method and its arguments exactly matches the original.
    • ❌: No defined argument is being ignored in the function/method's implementation.
    • ❌: In special cases where an argument's implementation should be pending due to an incomplete superset of an ivy function:
        • ❌: A ToDo comment has been added prompting to pass the frontend argument to the ivy function whose behavior is to be extended.
    • ❌: In case a frontend function is being added:
        • ❌: It is a composition of ivy functions.
        • ❌: In case the needed composition is long (using numerous ivy functions), a Missing Function Suggestion issue has been opened to suggest a new ivy function should be added to shorten the frontend implementation.
        • ❌: @to_ivy_arrays_and_back has been added to the function.
    • ❌: In case a frontend method is being added:
        • ❌: It is composed of existing frontend functions or methods.
        • ❌: If a required frontend function has not yet been added, the method may be implemented as a composition of ivy functions, making sure that:
          • ❌: @to_ivy_arrays_and_back has been added to the method.
          • ❌: A ToDo comment has been made prompting to remove the decorator and update the implementation as soon as the missing function has been added.
    • ❌: The function/method's test has been added (except in the alias case mentioned in <2>):
        • ❌: All supported arguments are being generated in handle_frontend_test/handle_frontend_method and passed to test_frontend_function/test_frontend_method.
        • ❌: The argument generation covers all possible supported values. Array sizes, dimensions, and axes adhere to the full supported set of the original function/method.
        • ❌: The available_dtypes parameter passed to the helper generating the function/method's input array is set to helpers.get_dtypes("valid"). If there are unsupported dtypes that cause the test to fail, they should be handled by adding @with_supported_dtypes/@with_unsupported_dtype to the function/method.
    • ❌: The PR is not introducing any test failures.
        • ❌: The lint checks are passing.
        • ❌: The implemented test is passing for all backends.
    • ❌: The PR closes a Sub Task issue linked to one of the open frontend ToDo lists.
    • ❌: The function/method and its test have been added to the correct .py files corresponding to the addressed ToDo list.
    • ❌: The PR only contains changes relevant to the addressed subtask.

@ivy-leaves ivy-leaves added the PyTorch Frontend Developing the PyTorch Frontend, checklist triggered by commenting add_frontend_checklist label Jun 20, 2023
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nanquantile
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