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The repo is using windows cuda dll lib , which can't run on linux gpu marchine
Is there any roadmap to support linux training hosts? otherwise we need to adapt the code ourselves
Thanks
The text was updated successfully, but these errors were encountered:
The repo is using windows cuda dll lib , which can't run on linux gpu marchine Is there any roadmap to support linux training hosts? otherwise we need to adapt the code ourselves Thanks
Currently, I have also encountered this problem. May I ask how you resolved it?
Sorry, something went wrong.
I comment the
import os os.add_dll_directory('c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin') os.add_dll_directory(os.path.dirname(__file__))
in model_rd.py, and install
model_rd.py
torch 1.9.0+cu111 torch_geometric 2.0.2 torch-scatter 2.0.7 torch-sparse 0.6.10
, then it works for my linux server.
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The repo is using windows cuda dll lib , which can't run on linux gpu marchine
Is there any roadmap to support linux training hosts? otherwise we need to adapt the code ourselves
Thanks
The text was updated successfully, but these errors were encountered: