[BUG]: Pyproject.toml creates broken environment on GPU instance

[deprit]

Description of the bug

The virtual environment defined by the dependencies inlibrary/pyproject.toml produces an error when evaluating import torch.

Steps To Reproduce

1. In Armory-Library root, create venv and install packages

$ python3.12 -m venv ./venv
$ source ./venv/bin/activate
$ ./dev-install.sh

2. Start Python interpreter and import torch package

$ python
Python 3.12.3 | packaged by Anaconda, Inc. | (main, May  6 2024, 19:46:43) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/etienne.deprit/projects/armory-library-test/venv/lib/python3.12/site-packages/torch/__init__.py", line 368, in <module>
    from torch._C import *  # noqa: F403
    ^^^^^^^^^^^^^^^^^^^^^^
ImportError: /home/etienne.deprit/projects/armory-library-test/venv/lib/python3.12/site-packages/torch/lib/../../nvidia/cusparse/lib/libcusparse.so.12: undefined symbol: __nvJitLinkComplete_12_4, version libnvJitLink.so.12
>>> 

Additional Information

The project dependencies appeared to work until the release of torch version 2.5.0 on 10/17/2024. Note that the new torch version works correctly in CPU environments and only fails on GPU-enabled machines. Changing the dependency to torch<2.5.0 seemed to resolve the issue.