[cherry-pick] Fix numpy2.1 bug in py3.10

[risemeup1]

PR Category

Execute Infrastructure

PR Types

Others

Description

Fix the bug in PaddlePaddle under Python 3.10 and NumPy 2.1.

• For any __array__ method on a non-NumPy array-like object, dtype=None and copy=None keywords must be added to the signature - this will work with older NumPy versions as well (although older numpy versions will never pass in copy keyword). If the keywords are added to the __array__ signature, then for:

  copy=True and any dtype value always return a new copy,

  copy=None create a copy if required (for example by dtype),

  copy=False a copy must never be made. If a copy is needed to return a numpy array or satisfy dtype, then raise an exception (ValueError).

• Restricting numpy to version 1.21 or above is to fix the bug of not finding the ‘NDArray’ attribute when using the numpy.typing module. It's no need to cherry-pick to 2.6

To do：
Modify the logic in TensorToPyArray(self) according to the dtype and copy parameters.
pcard-67164

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