As inverse indices from np.unique() are flattened when axis=None (the default), the related array_api set functions (xp.unique_inverse/xp.unique_all) don't return shape-sharing indices as the Array API specifies. This PR fixes this by internally reshaping the inverse indices.
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Backport of #20791.
As inverse indices from np.unique() are flattened when axis=None (the default), the related array_api set functions (xp.unique_inverse/xp.unique_all) don't return shape-sharing indices as the Array API specifies. This PR fixes this by internally reshaping the inverse indices.
Tested in array-api-tests , specifically https://github.com/data-apis/array-api-tests/blob/master/array_api_tests/test_set_functions.py. Note these tests will fail due to unrelated NaN-uniqueness issues.
Related #20638