Torch Scatter with Pytorch 2.4.1 and Cu118

Hey Team,

I have been trying to install the MeshCoder for inference and for some reason torch scatter does not have the supported version on torch 2.4.1 and Cuda 11.8. I am wondering how did you guys manage to make it work as I am getting errror by using the given pip install torch-scatter -f https://data.pyg.org/whl/torch-2.4.1%2Bcu118.html, as you look closely while installing, the screenshot shows that torch-scatter uses torch 2.4.0 as the cached version.

Could you help me figure my way out?

The error is

Traceback (most recent call last):
  File "/mnt/o/share/Tathya/MeshCoder/recipes/inference/local_inference/custom_inference/inference_shape2code_point_input.py", line 20, in <module>
    from llama_recipes.custom_models.modules.shape_tokenizer import ShapeTokenizer
  File "/mnt/o/share/Tathya/MeshCoder/src/llama_recipes/custom_models/modules/shape_tokenizer.py", line 1, in <module>
    from llama_recipes.custom_models.modules.pcd_proj.point_projection import PointTriplaneProjector
  File "/mnt/o/share/Tathya/MeshCoder/src/llama_recipes/custom_models/modules/pcd_proj/point_projection.py", line 4, in <module>
    from torch_scatter import scatter, scatter_mean, scatter_max
  File "/home/maint/miniforge3/envs/meshcoder/lib/python3.10/site-packages/torch_scatter/__init__.py", line 16, in <module>
    torch.ops.load_library(spec.origin)
  File "/home/maint/miniforge3/envs/meshcoder/lib/python3.10/site-packages/torch/_ops.py", line 1295, in load_library
    ctypes.CDLL(path)
  File "/home/maint/miniforge3/envs/meshcoder/lib/python3.10/ctypes/__init__.py", line 374, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: /home/maint/miniforge3/envs/meshcoder/lib/python3.10/site-packages/torch_scatter/_version_cuda.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSsb```

torch-scatter のインストールコマンドと src/llama_recipes/custom_models/modules/pcd_proj/point_projection.py の import から始め、recipes/inference/local_inference/custom_inference/inference_shape2code_point_input.py を実行して失敗を再現します。インストールされている PyTorch と torch-scatter のバージョンを、報告された未定義シンボルエラーと照合します。完了の条件は、torch_scatter の import が正常に行われ、推論のエントリーポイントが起動処理を先に進めることです。