Comments (2)
bdzyubak
commented on June 22, 2024
This is caused by a transformer dependency chardet not being installed. Also, the version of transformers is old 2.x instead of 4.x. Likely, another dependency of nnunet is causing the version to be reduced. Time to split off the nlp environment from nnunet!
Additionally, going to switch to yml files to control dependencies as I do not need to maintain compatibility with requirements.txt files and procedurally generate the ymls unlike in previous projects.
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bdzyubak
commented on June 22, 2024
Dependency issues resolved. Shared dependencies (like huge Pytorch) are now installed via a requirements.txt to the base environment. Separate conda envs are created with yml files. If those cannot install some of the dependencies, the run_setup_all.py script will fallback to pip.
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Related Issues (20)
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