Home: https://github.com/refraction-ray/numkl
Package license: MIT
Feedstock license: BSD 3-Clause
Summary: A thin cython/python wrapper on some routines from Intel MKL
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Installing numkl from the refraction-ray channel can be achieved by adding refraction-ray to your channels with:
conda config --add channels refraction-ray
Once the refraction-ray channel has been enabled, numkl can be installed with:
conda install numkl
It is possible to list all of the versions of numkl available on your platform with:
conda search numkl --channel refraction-ray
If you would like to improve the numkl recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
refraction-ray channel, whereupon the built conda packages will be available for
everybody to install and use from the refraction-ray channel.
Note that all branches in the conda-forge/numkl-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
the
build/number. - If the version of a package is being increased, please remember to return
the
build/numberback to 0.