FileNotFoundError: Cannot find DGL C++ sparse library (but for dgl v2.5, pytorch v2.4.0)

[trilliverse]

🐛 Bug

To Reproduce

Steps to reproduce the behavior:

1. install from source according to https://www.dgl.ai/dgl_docs/install/index.html#windows
2. import dgl.sparse
3. FileNotFoundError: Cannot find DGL C++ sparse library at D:\Anaconda3\envs\pytorch\Lib\site-packages\dgl-2.5-py3.12-win-amd64.egg\dgl\dgl_sparse\dgl_sparse_pytorch_2.4.0.dll

(pytorch) C:\Users\Acref>python
Python 3.12.0 | packaged by Anaconda, Inc. | (main, Oct  2 2023, 17:20:38) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import dgl.sparse
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "D:\Anaconda3\envs\pytorch\Lib\site-packages\dgl-2.5-py3.12-win-amd64.egg\dgl\sparse\__init__.py", line 43, in <module>
    load_dgl_sparse()
  File "D:\Anaconda3\envs\pytorch\Lib\site-packages\dgl-2.5-py3.12-win-amd64.egg\dgl\sparse\__init__.py", line 35, in load_dgl_sparse
    raise FileNotFoundError(f"Cannot find DGL C++ sparse library at {path}")
FileNotFoundError: Cannot find DGL C++ sparse library at D:\Anaconda3\envs\pytorch\Lib\site-packages\dgl-2.5-py3.12-win-amd64.egg\dgl\dgl_sparse\dgl_sparse_pytorch_2.4.0.dll

but it is ok when import dgl

Expected behavior

Environment

• DGL Version : 2.5 (I have a question here since the latest version is v2.4, but when I install from source, it turns out that dgl v2.5)
• Backend Library & Version: Pytorch 2.4.0
• OS (e.g., Linux): Windows 11
• How you installed DGL (conda, pip, source): source
• Build command you used (if compiling from source): run the following in x64 Native Tools Command Prompt for VS 2022:

mkdir build
cd build
cmake -DCMAKE_CXX_FLAGS="/DDGL_EXPORTS" -DCMAKE_CONFIGURATION_TYPES="Release" -DDMLC_FORCE_SHARED_CRT=ON .. -G "Visual Studio 17 2022"
msbuild dgl.sln /m
cd ..\python
python setup.py install

• Python version: 3.12.0
• CUDA/cuDNN version (if applicable): no cuda
• GPU models and configuration (e.g. V100): no gpu
• Any other relevant information:

Additional context

the virtual environment is named as "pytorch" in anaconda;