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Request: Please create version with make USE_OPENMP=1
#79
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Done. |
For those who landed here and can not find the package during installation, try:
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Hi, I got this error: Thanks! |
@Zepeng-Mu would place single quotes ( |
Suggested at conda-forge/openblas-feedstock#79 (comment) Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
* concoct: pin scikit-learn to 1.1.3 Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org> * Try to fix the linux-aarch64 build by pinning Python to >=3.8,<=3.10 Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org> * concoct: Patch concoct/transform.py perform_pca() to work with newer scikit-learn than 1.1.3 Suggested-by: @jlanga at #48553 (comment) Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org> * Add libopenblas+openmp as a runtime dependency Suggested at conda-forge/openblas-feedstock#79 (comment) Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org> --------- Signed-off-by: Martin Tzvetanov Grigorov <mgrigorov@apache.org>
Is there a way to fix this via conda installation? I can't seem to get this to work.
Essnentially, I'm asking if there is a precompiled version I can install via conda that has USE_OPENMP=1?
I've posted a question on StackOverflow but I haven't gotten any bites:
https://stackoverflow.com/questions/57257712/how-to-fix-openblas-warning-detect-openmp-loop-and-this-application-may-hang
If I do a separate install via this post I fear that my conda environment will break.
These GitHub issues might help:
BinPro/CONCOCT#232
bxlab/metaWRAP#168
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