METIS causes jupyter kernel crashed

[RX28666]

😵 Describe the installation problem

Hello,

I followed the discussion in #1313 and used pip install torch-sparse==0.6.18 -f https://data.pyg.org/whl/torch-2.4.1+cu124.html to install torch-sparse. Then when I run perm, ptr = metis(data.adj_t, num_parts=40, log=True), the kernel crashed every time, it reported:

The Kernel crashed while executing code in the current cell or a previous cell. 
Please review the code in the cell(s) to identify a possible cause of the failure. 

Any help would be appreciated.

Environment

• PyG version: 2.6.1
• PyTorch version: 2.4.1
• OS: Linux
• Python version: 3.12
• CUDA/cuDNN version: 12.4
• How you installed PyTorch and PyG (conda, pip, source): pip
• Any other relevant information (e.g., version of torch-scatter):
• version of torch-scatter: 2.1.2
• version of torch-sparse: 0.6.18+pt24cu124