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mkl-dnn-devel-1.4-lp152.1.2 RPM for x86_64

From OpenSuSE Leap 15.2 for x86_64

Name: mkl-dnn-devel Distribution: openSUSE Leap 15.2
Version: 1.4 Vendor: openSUSE
Release: lp152.1.2 Build date: Sat May 16 20:52:19 2020
Group: Unspecified Build host: lamb25
Size: 803163 Source RPM: mkl-dnn-1.4-lp152.1.2.src.rpm
Packager: https://bugs.opensuse.org
Url: https://01.org/mkl-dnn
Summary: Header files of Intel(R) Math Kernel Library
 
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) 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(R) MKL-DNN.

Provides

Requires

License

Apache-2.0

Changelog

* Tue May 05 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Update to 1.4:
    * Performance improvements all over the board
  - Rebase patch cmake-no-install-ocl-cmake.patch
* Tue Mar 24 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Add constraints to not crash during testing on OOM
* Thu Feb 27 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Do not disable LTO there is no actual reason for that
  - Export LD_LIBRARY_PATH to fix older releases build
* Wed Feb 26 2020 Tomáš Chvátal <tchvatal@suse.com>
  - There is no actual reason to not use github tag for tarball
    fetching -> remove the service
  - Format with spec-cleaner
  - Use proper %cmake macros everywhere
  - Add configure options for cmake to set it up in a way we really
    want
  - Add patch from Debian to not install OpenCL cmake finder:
    * cmake-no-install-ocl-cmake.patch
* Thu Feb 20 2020 Christian Goll <cgoll@suse.com>
  - enabled tests
* Thu Jan 30 2020 Christian Goll <cgoll@suse.com>
  - packaged separate benchnn packae with its input files
  - updated to v1.1.3 which includes
    * Fixed the mean and variance memory descriptors in layer
    normalization (65f1908)
    * Fixed the layer normalization formula (c176ceb)
* Wed Jan 08 2020 Christian Goll <cgoll@suse.com>
  - updated to v1.1.2
    * Fixed threading over the spatial in bfloat16 batched
      normalization (017b6c9)
    * Fixed read past end-of-buffer error for int8 convolution (7d6f45e)
    * Fixed condition for dispatching optimized channel blocking in
      fp32 backward convolution on Intel Xeon Phi(TM) processor (846eba1)
    * Fixed fp32 backward convolution for shapes with spatial strides
      over the depth dimension (002e3ab)
    * Fixed softmax with zero sizes on GPU (936bff4)
    * Fixed int8 deconvolution with dilation when ih <= dh (3e3bacb)
    * Enabled back fp32 -> u8 reorder for RNN (a2c2507)
    * Fixed segmentation fault in bfloat16 backward convolution from
      kd_padding=0 computation (52d476c)
    * Fixed segmentation fault in bfloat16 forward convolution due
      to push/pop imbalance (4f6e3d5)
    * Fixed library version for OS X build (0d85005)
    * Fixed padding by channels in concat (a265c7d)
    * Added full text of third party licenses and
      copyright notices to LICENSE file (79f204c)
    * Added separate README for binary packages (28f4c96)
    * Fixed computing per-oc mask in RNN (ff3ffab)
    * Added workaround for number of cores calculation in Xbyak (301b088)
* Mon Feb 11 2019 cgoll@suse.com
  - added ARCH_OPT_FLAGS=""
* Tue Feb 05 2019 Christian Goll <cgoll@suse.com>
  - Initial checking of the Intel(R) Math Kernel Library for
    Deep Neural Networks which can be used by:
    * tensorflow
    * Caffee
    * PyTorch
    and other machine learning tools

Files

/usr/include/mkl-dnn
/usr/include/mkl-dnn/dnnl.h
/usr/include/mkl-dnn/dnnl.hpp
/usr/include/mkl-dnn/dnnl_config.h
/usr/include/mkl-dnn/dnnl_debug.h
/usr/include/mkl-dnn/dnnl_threadpool_iface.hpp
/usr/include/mkl-dnn/dnnl_types.h
/usr/include/mkl-dnn/dnnl_version.h
/usr/include/mkl-dnn/mkldnn.h
/usr/include/mkl-dnn/mkldnn.hpp
/usr/include/mkl-dnn/mkldnn_config.h
/usr/include/mkl-dnn/mkldnn_debug.h
/usr/include/mkl-dnn/mkldnn_dnnl_mangling.h
/usr/include/mkl-dnn/mkldnn_types.h
/usr/include/mkl-dnn/mkldnn_version.h
/usr/lib64/cmake/dnnl
/usr/lib64/cmake/dnnl/dnnl-config-version.cmake
/usr/lib64/cmake/dnnl/dnnl-config.cmake
/usr/lib64/cmake/dnnl/dnnl-targets-relwithdebinfo.cmake
/usr/lib64/cmake/dnnl/dnnl-targets.cmake
/usr/lib64/libdnnl.so
/usr/lib64/libmkldnn.so

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Fabrice Bellet, Tue Jul 9 11:31:35 2024