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File onednn.changes of Package onednn (Revision 66cc56fd77cd29d1b5b8ccb5c228e531)

Currently displaying revision 66cc56fd77cd29d1b5b8ccb5c228e531 , Show latest

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Mon Oct  5 06:16:30 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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

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Fri Oct  2 12:47:08 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

- Rename mkl-dnn to onednn to follow upstream

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Wed Sep 23 13:36:02 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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

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Wed Sep 23 13:16:39 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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

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Tue May  5 07:38:34 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

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

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Tue Mar 24 10:50:57 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

- Add constraints to not crash during testing on OOM

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Thu Feb 27 12:44:00 UTC 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

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Wed Feb 26 10:36:26 UTC 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

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Thu Feb 20 10:26:52 UTC 2020 - Christian Goll <cgoll@suse.com>

- enabled tests

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Thu Jan 30 14:20:22 UTC 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)

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Wed Jan  8 15:21:54 UTC 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)

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Mon Feb 11 16:35:48 UTC 2019 - cgoll@suse.com

- added ARCH_OPT_FLAGS=""

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Tue Feb  5 07:45:53 UTC 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

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File onednn.changes of Package onednn (Revision 66cc56fd77cd29d1b5b8ccb5c228e531)

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