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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Nit: It might be useful to provide an easy way to pass a cuda/cudnn path to cmake, maybe something like DCUDNN_LIBRARY_PATH=os.einviron.get("CUDA_LIBRARY_PATH, "")
Finally the flag --march=native might cause some issues especially for HPC. We removed it for our cluster and managed to reliably train on different machines.
The text was updated successfully, but these errors were encountered:
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it seems that
pip install -e .
does prepare the proper directories but does not include the built package. We solved by adding:here:
rlmeta/setup.py
Line 87 in c43d0f1
Nit: It might be useful to provide an easy way to pass a cuda/cudnn path to cmake, maybe something like
DCUDNN_LIBRARY_PATH=os.einviron.get("CUDA_LIBRARY_PATH, "")
Finally the flag
--march=native
might cause some issues especially for HPC. We removed it for our cluster and managed to reliably train on different machines.The text was updated successfully, but these errors were encountered: