Environment setup #1
Description
Hi ml4bio Team,
When setting up the virtual environment via Conda, I received the error: the version of python was not suitable for DGL 2.4.0+cu118, but when I updated python to 3.10, it brought more problems.
Steps Attempted:
Added dglteam channels.
Tried both Conda (dgl=2.4.0=cuda118*) and Pip (dgl-cu118==2.4.0).
Could you please clarify:
Is DGL 2.4.0 with CUDA 11.8 officially supported for Python 3.9?
Are there known workarounds for this installation issue?
Should I adjust dependency versions (e.g., PyTorch/CUDA) for compatibility?
Thanks!
Best
Ankh