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Package: onednn-devel (3.0.1-bp156.2.9)

Header files of Intel Math Kernel Library

Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an open-source performance library for deep-learning applications. The library accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces. This package includes the required headers and library files to develop software with the Intel MKL-DNN.

Other Packages Related to onednn-devel:

  • dep: [libdnnl3] (= 3.0.1)

    Header files of Intel Math Kernel Library

Download onednn-devel

ArchitecturePackage sizeInstalled sizeFilesPackage
aarch64108 KiB931 KiBlist of filesDownload
ppc64le108 KiB931 KiBlist of filesDownload
x86_64109 KiB936 KiBlist of filesDownload

Package file paths (46)

Paths come from the repository package-file index for the observed builds. They describe archive/package associations, not every file that will exist on a running system after maintainer scripts, alternatives, generated state, diversions, or installation choices.

  • /usr/include/dnnl_config.h
  • /usr/include/dnnl_debug.h
  • /usr/include/dnnl.h
  • /usr/include/dnnl.hpp
  • /usr/include/dnnl_ocl.h
  • /usr/include/dnnl_ocl.hpp
  • /usr/include/dnnl_sycl.h
  • /usr/include/dnnl_sycl.hpp
  • /usr/include/dnnl_sycl_types.h
  • /usr/include/dnnl_threadpool.h
  • /usr/include/dnnl_threadpool.hpp
  • /usr/include/dnnl_threadpool_iface.hpp
  • /usr/include/dnnl_types.h
  • /usr/include/dnnl_version.h
  • /usr/include/mkl-dnn
  • /usr/include/oneapi
  • /usr/include/oneapi/dnnl
  • /usr/include/oneapi/dnnl/dnnl_common.h
  • /usr/include/oneapi/dnnl/dnnl_common.hpp
  • /usr/include/oneapi/dnnl/dnnl_common_types.h
  • /usr/include/oneapi/dnnl/dnnl_config.h
  • /usr/include/oneapi/dnnl/dnnl_debug.h
  • /usr/include/oneapi/dnnl/dnnl.h
  • /usr/include/oneapi/dnnl/dnnl.hpp
  • /usr/include/oneapi/dnnl/dnnl_ocl.h
  • /usr/include/oneapi/dnnl/dnnl_ocl.hpp
  • /usr/include/oneapi/dnnl/dnnl_ocl_types.h
  • /usr/include/oneapi/dnnl/dnnl_sycl.h
  • /usr/include/oneapi/dnnl/dnnl_sycl.hpp
  • /usr/include/oneapi/dnnl/dnnl_sycl_types.h
  • /usr/include/oneapi/dnnl/dnnl_threadpool.h
  • /usr/include/oneapi/dnnl/dnnl_threadpool.hpp
  • /usr/include/oneapi/dnnl/dnnl_threadpool_iface.hpp
  • /usr/include/oneapi/dnnl/dnnl_types.h
  • /usr/include/oneapi/dnnl/dnnl_version.h
  • /usr/lib64/cmake/dnnl
  • /usr/lib64/cmake/dnnl/dnnl-config.cmake
  • /usr/lib64/cmake/dnnl/dnnl-config-version.cmake
  • /usr/lib64/cmake/dnnl/dnnl-targets.cmake
  • /usr/lib64/cmake/dnnl/dnnl-targets-relwithdebinfo.cmake
  • /usr/lib64/cmake/dnnl/FindOpenCL.cmake
  • /usr/lib64/libdnnl.so
  • /usr/share/doc/packages/onednn-devel
  • /usr/share/doc/packages/onednn-devel/README.md
  • /usr/share/licenses/onednn-devel
  • /usr/share/licenses/onednn-devel/LICENSE

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3.0.1-bp156.2.9leap-15.6 / ossaarch64openSUSE Leap 15.6 · OSS · multi-architecture108 KiB931 KiBaarch64/onednn-devel-3.0.1-bp156.2.9.aarch64.rpm
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3.0.1-bp156.2.9leap-15.6 / ossx86_64openSUSE Leap 15.6 · OSS · multi-architecture109 KiB936 KiBx86_64/onednn-devel-3.0.1-bp156.2.9.x86_64.rpm

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3.0.1-bp156.2.9 / aarch64Observed Sep 1, 2026sha512 5b055c356a79…0dda1eebSource-reported digest

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3.0.1-bp156.2.9 / ppc64leObserved Sep 1, 2026sha512 d5cd50ebb210…5ac6aeeeSource-reported digest

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3.0.1-bp156.2.9 / x86_64Observed Sep 1, 2026sha512 e2ea8e591aa9…7bace84fSource-reported digest

Metadata observed; artifact bytes were not independently fetched or hashed by this catalog import. The digest below is source-reported.

Source-reported digest (sha512): e2ea8e591aa9ba05c7af0ea23d16b572ca902cde25463c6802ca7b43c009b230b93baa4f87dcfc8ef6d3c598d881b41f383760e5e11096d22577d38b7bace84f

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