Changelog for onednn-devel-1.6.3-bp153.1.13.x86_64.rpm :

* Mon Oct 05 2020 Guillaume GARDET - Obsoletes mkl-dnn
* <= %{version}
* Fri Oct 02 2020 Guillaume GARDET - Rename mkl-dnn to onednn to follow upstream
* Wed Sep 23 2020 Guillaume GARDET - Update to 1.6.3- Drop upstream patch:
* cmake-no-install-ocl-cmake.patch
* Wed Sep 23 2020 Guillaume GARDET - Build on aarch64 and ppc64le which are now also supported- Provide oneDNN and oneDNN-devel as it is the new official name
* Tue May 05 2020 Tomáš Chvátal - Update to 1.4:
* Performance improvements all over the board- Rebase patch cmake-no-install-ocl-cmake.patch
* Tue Mar 24 2020 Tomáš Chvátal - Add constraints to not crash during testing on OOM
* Thu Feb 27 2020 Tomáš Chvátal - 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 - 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 - enabled tests
* Thu Jan 30 2020 Christian Goll - 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 - 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 cgollAATTsuse.com- added ARCH_OPT_FLAGS=\"\"
* Tue Feb 05 2019 Christian Goll - 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