About intel_repack-feedstock
Feedstock license: BSD-3-Clause
About intel_repack
Home: https://github.com/conda-forge/intel_repack-feedstock
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Repackaged Intel libraries
About dal
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneDAL runtime libraries
Documentation: http://oneapi-src.github.io/oneDAL/
Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About dal-include
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Headers for building against Intel® oneDAL libraries
Documentation: http://oneapi-src.github.io/oneDAL/
Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About impi_rt
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® MPI Library
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html
Intel® MPI Library is a multifabric message-passing library that implements the open source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on HPC clusters based on Intel® and compatible processors. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About mkl
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About mkl-include
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Headers for building against Intel® oneMKL libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library headers for developing software that uses oneMKL This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onedpl-devel
Home: https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html
Package license: Apache-2.0
Summary: Intel® oneAPI DPC++ Library
Documentation: https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html
The Intel® oneAPI DPC++ Library (oneDPL) is a companion to the Intel® oneAPI DPC++/C++ Compiler and provides an alternative for C++ developers who create heterogeneous applications and solutions. Its APIs are based on familiar standards—C++ STL, Parallel STL (PSTL), Boost.Compute, and SYCL*—to maximize productivity and performance across CPUs, GPUs, and FPGAs. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About dal-devel
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Devel package for building against Intel® oneDAL shared libraries
Documentation: http://oneapi-src.github.io/oneDAL/
Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About dal-static
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Static libraries for Intel® oneDAL
Documentation: http://oneapi-src.github.io/oneDAL/
Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About impi-devel
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Devel package for building against Intel® MPI libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html
Intel® MPI Library is a multifabric message-passing library that implements the open source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on HPC clusters based on Intel® and compatible processors. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About mkl-devel
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Devel package for building against Intel® oneMKL libraries
Intel® oneAPI Math Kernel Library headers and libraries for developing software that uses oneMKL This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About mkl-static
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Static libraries for Intel® oneMKL libraries
Intel® oneAPI Math Kernel Library static libraries for developing software that uses oneMKL This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-blas
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-datafitting
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-dft
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-rng
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-stats
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-vm
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-lapack
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About onemkl-sycl-sparse
Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Math Kernel Library runtime libraries
Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
About intel-openmp
Home: https://www.intel.com/content/www/us/en/developer/tools/overview.html
Package license: LicenseRef-IntelSimplifiedSoftwareOct2022
Summary: Intel® oneAPI Compiler OpenMP runtime
Documentation: https://www.intel.com/content/www/us/en/developer/tools/overview.html
Intel® oneAPI Compiler OpenMP runtime implementation This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
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Installing intel_repack
Installing intel_repack from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge
conda config --set channel_priority strictOnce the conda-forge channel has been enabled, dal, dal-devel, dal-include, dal-static, impi-devel, impi_rt, intel-openmp, mkl, mkl-devel, mkl-include, mkl-static, onedpl-devel, onemkl-sycl-blas, onemkl-sycl-datafitting, onemkl-sycl-dft, onemkl-sycl-lapack, onemkl-sycl-rng, onemkl-sycl-sparse, onemkl-sycl-stats, onemkl-sycl-vm can be installed with conda:
conda install dal dal-devel dal-include dal-static impi-devel impi_rt intel-openmp mkl mkl-devel mkl-include mkl-static onedpl-devel onemkl-sycl-blas onemkl-sycl-datafitting onemkl-sycl-dft onemkl-sycl-lapack onemkl-sycl-rng onemkl-sycl-sparse onemkl-sycl-stats onemkl-sycl-vmor with mamba:
mamba install dal dal-devel dal-include dal-static impi-devel impi_rt intel-openmp mkl mkl-devel mkl-include mkl-static onedpl-devel onemkl-sycl-blas onemkl-sycl-datafitting onemkl-sycl-dft onemkl-sycl-lapack onemkl-sycl-rng onemkl-sycl-sparse onemkl-sycl-stats onemkl-sycl-vmIt is possible to list all of the versions of dal available on your platform with conda:
conda search dal --channel conda-forgeor with mamba:
mamba search dal --channel conda-forgeAlternatively, mamba repoquery may provide more information:
# Search all versions available on your platform:
mamba repoquery search dal --channel conda-forge
# List packages depending on `dal`:
mamba repoquery whoneeds dal --channel conda-forge
# List dependencies of `dal`:
mamba repoquery depends dal --channel conda-forgeAbout conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance
conda-smithy has been developed.
Using the conda-forge.yml within this repository, it is possible to re-render all of
this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.
For more information please check the conda-forge documentation.
Terminology
feedstock - the conda recipe (raw material), supporting scripts and CI configuration.
conda-smithy - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI .yml files
and simplify the management of many feedstocks.
conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)
Updating intel_repack-feedstock
If you would like to improve the intel_repack 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
conda-forge channel, whereupon the built conda packages will be available for
everybody to install and use from the conda-forge channel.
Note that all branches in the conda-forge/intel_repack-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.