Numpy deprecating alias np.bool when running 'python imagenet_inference.py'

Bug Report

Which model does this pertain to?

https://github.com/onnx/models/tree/main/validated/vision/classification/squeezenet

Describe the bug

Describe the problem with the model and the results you are seeing.

Reproduction instructions

Convert https://github.com/onnx/models/blob/main/validated/vision/classification/imagenet_inference.ipynb into a python file and then run 'python imagenet_inference.py' you receive the following error:

Admin:~/environment/squeezenet1.1 $ python3 imagenet_inference.py
/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/numpy/utils.py:37: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.
  bool = onp.bool
Traceback (most recent call last):
  File "/home/ec2-user/environment/squeezenet1.1/imagenet_inference.py", line 34, in <module>
    import mxnet as mx
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/__init__.py", line 33, in <module>
    from . import contrib
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
    from . import text
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
    from . import embedding
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/contrib/text/embedding.py", line 36, in <module>
    from ... import numpy as _mx_np
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/numpy/__init__.py", line 23, in <module>
    from .multiarray import *  # pylint: disable=wildcard-import
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/numpy/multiarray.py", line 47, in <module>
    from .utils import _get_np_op
  File "/home/ec2-user/.local/lib/python3.9/site-packages/mxnet/numpy/utils.py", line 37, in <module>
    bool = onp.bool
  File "/home/ec2-user/.local/lib/python3.9/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

System Information

OS Platform and Distribution (e.g. Linux Ubuntu 16.04): Amazon Linux 2023
ONNX version (e.g. 1.6): 1.7
Backend/Runtime version (e.g. ONNX Runtime 1.1, PyTorch 1.2):

Provide a code snippet to reproduce your errors.

import onnx
model = onnx.load('model.onnx')
...

Notes

Any additional information

Start with validated/vision/classification/imagenet_inference.ipynb, convert it as described, and run python imagenet_inference.py. Trace the NumPy/MXNet compatibility failure shown in the report; done means the SqueezeNet inference example runs without the np.bool AttributeError.