numpy version warnings

[jiangjun0105]

 × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [45 lines of output]

      A module that was compiled using NumPy 1.x cannot be run in
      NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
      versions of NumPy, modules must be compiled with NumPy 2.0.
      Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

      If you are a user of the module, the easiest solution will be to
      downgrade to 'numpy<2' or try to upgrade the affected module.
      We expect that some modules will need time to support NumPy 2.

I think the easiest way is to limit the numpy version to <2?

[jiangjun0105]

otherwise got error like

Python 3.10.14 (main, May  6 2024, 19:42:50) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "<stdin>", line 1, in <module>
  File "/data/home/jun/miniconda3/envs/cuda121/lib/python3.10/site-packages/torch/__init__.py", line 1382, in <module>
    from .functional import *  # noqa: F403
  File "/data/home/jun/miniconda3/envs/cuda121/lib/python3.10/site-packages/torch/functional.py", line 7, in <module>
    import torch.nn.functional as F
  File "/data/home/jun/miniconda3/envs/cuda121/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module>
    from .modules import *  # noqa: F403
  File "/data/home/jun/miniconda3/envs/cuda121/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module>
    from .transformer import TransformerEncoder, TransformerDecoder, \
  File "/data/home/jun/miniconda3/envs/cuda121/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module>
    device: torch.device = torch.device(torch._C._get_default_device()),  # torch.device('cpu'),
/data/home/jun/miniconda3/envs/cuda121/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.)
  device: torch.device = torch.device(torch._C._get_default_device()),  # torch.device('cpu'),

>>>