Comments (1)
I apologize for very late response. The CUDA version that Google Colab uses has been updated to 12, while the previous notebook installed dependencies with CUDA 11. I created a branch cuda-12 and set latest versions for dgl
and torch
to use with CUDA 12. I did not tested the notebook extensively, so these change may cause some issues.
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Related Issues (12)
- Possible error in PDBset in libdata.py HOT 1
- Error installing cg2all HOT 2
- Error when converting a DCD trajectory file HOT 4
- Batch size needs to be a divisor of the number of frames
- Error while running tests HOT 4
- Martini3 model HOT 1
- atom renaming not consistent with IUPAC nomenclature HOT 5
- error in runing cg2all
- missing ORCID in CITATION.cff
- magic_number = pickle_module.load(f, **pickle_load_args) EOFError: Ran out of input HOT 2
- NOTICE: please expect slower responses
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