Comments (3)
I also tried $ dev/dev-env-setup.sh -d .venvs/mlflow-dev -o 3.9
(#9754, #9751 cc @harupy )
but still got pydantic
and tensorflow-cpu
error.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
fastapi 0.89.1 requires pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2, but you have pydantic 2.6.0 which is incompatible.
ERROR: Could not find a version that satisfies the requirement tensorflow-cpu<=2.12.0 (from versions: none)
ERROR: No matching distribution found for tensorflow-cpu<=2.12.0
- pydantic is from
rstcheck==6.1.1
in lint-requirements.txt - tensorflow-cpu is from
tensorflow-cpu<=2.12.0
in doc-requirements.txt
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FYI, I just manually fixed this issue by
- explictly set rstcheck-core==1.0.3
- revert tensorflow-cpu to tensorflow (#9754 )
pip cache purge && rm -rf .venv/[MY ENV]
dev/dev-env-setup.sh -d .venvs/mlflow-dev -o 3.9
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@mlflow/mlflow-team Please assign a maintainer and start triaging this issue.
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