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(Cross-linking related issue from conda-forge/scikit-learn-feedstock#271)
There seems to be no way to have these 2 packages installed together with the current conda builds for pytorch:
scikit-learn >=1.4 (from the conda-forge channel) pytorch >=2.3 (from pytorch channel)
Test command:
mamba create --strict-channel-priority --override-channels -c pytorch -c conda-forge -n test --dry-run 'scikit-learn>=1.4' 'pytorch>=2.3'
The problem seems related to this package's very restrictive pinning on llvm-openmp<16 and the way this dependency is treated on conda-forge (c.f.: conda-forge/scikit-learn-feedstock#265, conda-forge/openmp-feedstock#126).
llvm-openmp<16
The offending line seems to come from: https://github.com/pytorch/builder/blob/main/conda/pytorch-nightly/meta.yaml#L49
I wonder if the issue is still present with versions 17 or 18 of LLVM, and if one could update this pin to allow for a more inclusive software stack.
The text was updated successfully, but these errors were encountered:
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(Cross-linking related issue from conda-forge/scikit-learn-feedstock#271)
There seems to be no way to have these 2 packages installed together with the current conda builds for pytorch:
scikit-learn >=1.4 (from the conda-forge channel)
pytorch >=2.3 (from pytorch channel)
Test command:
The problem seems related to this package's very restrictive pinning on
llvm-openmp<16
and the way this dependency is treated on conda-forge (c.f.: conda-forge/scikit-learn-feedstock#265, conda-forge/openmp-feedstock#126).The offending line seems to come from: https://github.com/pytorch/builder/blob/main/conda/pytorch-nightly/meta.yaml#L49
I wonder if the issue is still present with versions 17 or 18 of LLVM, and if one could update this pin to allow for a more inclusive software stack.
The text was updated successfully, but these errors were encountered: