Support Numpy ints in the torch.nn.functional.interpolate dtype check

[ezhang887]

In #99243, a check was added to ensure the size only contained integers.

This PR updates the check to also include numpy integers based on this comment (cc @kit1980): #99243 (comment). Similar to the other commenter, I also ran into issues where existing software broke due to this after upgrading to PT2.1:

                if not torch.jit.is_scripting():
                    if not all(_is_integer(x) for x in size):
>                       raise TypeError(
                            "expected size to be one of int or Tuple[int] or Tuple[int, int] or "
                            f"Tuple[int, int, int], but got size with types {[type(x) for x in size]}"
                        )
E                       TypeError: expected size to be one of int or Tuple[int] or Tuple[int, int] or Tuple[int, int, int], but got size with types [<class 'numpy.int64'>, <class 'numpy.int64'>]

/conda-env/lib/python3.8/site-packages/torch/nn/functional.py:3924: TypeError

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[mikaylagawarecki]

Looks ok since the linked comment mentioned that interpolate used to work with size as a tuples of numpy integers on 2.0.1

[ezhang887]

@pytorchbot merge -g

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[ezhang887]

@pytorchbot merge

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