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[Source: onednn]

Package: onednn-devel (3.5.3-bp160.1.11)

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] (= 3.5.3)

    Header files of Intel Math Kernel Library

Download onednn-devel

ArchitecturePackage sizeInstalled sizeFilesPackage
aarch64138 KiB1.2 MiBlist of filesDownload
ppc64le138 KiB1.2 MiBlist of filesDownload
x86_64139 KiB1.2 MiBlist of filesDownload

Package file paths (56)

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_graph.h
  • /usr/include/oneapi/dnnl/dnnl_graph.hpp
  • /usr/include/oneapi/dnnl/dnnl_graph_ocl.h
  • /usr/include/oneapi/dnnl/dnnl_graph_ocl.hpp
  • /usr/include/oneapi/dnnl/dnnl_graph_sycl.h
  • /usr/include/oneapi/dnnl/dnnl_graph_sycl.hpp
  • /usr/include/oneapi/dnnl/dnnl_graph_types.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_ukernel.h
  • /usr/include/oneapi/dnnl/dnnl_ukernel.hpp
  • /usr/include/oneapi/dnnl/dnnl_ukernel_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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3.5.3-bp160.1.11leap-16.0 / ossaarch64openSUSE Leap 16.0 · OSS · multi-architecture138 KiB1.2 MiBaarch64/onednn-devel-3.5.3-bp160.1.11.aarch64.rpm
3.5.3-bp160.1.11leap-16.0 / ossppc64leopenSUSE Leap 16.0 · OSS · multi-architecture138 KiB1.2 MiBppc64le/onednn-devel-3.5.3-bp160.1.11.ppc64le.rpm
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3.5.3-bp160.1.11 / aarch64Observed Sep 1, 2026sha512 11899859a585…ac5c106eSource-reported digest

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Source-reported digest (sha512): 11899859a585b2f9148d2255ee7bac2d34c669dd2ab6a6844cfdb516fb535f55ae8ac2dfadfbf7a47055643079fe136996b121c89e9eec6ab1079c9dac5c106e

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3.5.3-bp160.1.11 / ppc64leObserved Sep 1, 2026sha512 88b965facdad…b5ae91b1Source-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): 88b965facdad9f129692cafacf84ca7ad9ea537e040b3966f4eed9e186be47fe44d2c9c33c035aaad8347f012104525d719c394bb120be4d9335d867b5ae91b1

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3.5.3-bp160.1.11 / x86_64Observed Sep 1, 2026sha512 142ac9115e66…9db43f04Source-reported digest

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Source-reported digest (sha512): 142ac9115e6635d1b4859cb3f79718f5fdc4fc55aa230bf3d5407ba8db90b4b0dfb8d81cc425e61c5ac452dd9eab06dee9fd1849648aa107fd20163f9db43f04

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