onednn-1.6.3-bp153.1.13

- Obsoletes mkl-dnn* <= %{version}

- Rename mkl-dnn to onednn to follow upstream

- Update to 1.6.3
- Drop upstream patch:
  * cmake-no-install-ocl-cmake.patch

- Build on aarch64 and ppc64le which are now also supported
- Provide oneDNN and oneDNN-devel as it is the new official name

- Update to 1.4:
  * Performance improvements all over the board
- Rebase patch cmake-no-install-ocl-cmake.patch

- Add constraints to not crash during testing on OOM

- Do not disable LTO there is no actual reason for that
- Export LD_LIBRARY_PATH to fix older releases build

- 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

- enabled tests

- 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)

- 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)

- added ARCH_OPT_FLAGS=""

- 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