OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=31
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		@@ -1,3 +1,102 @@
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Thu Jul 22 14:40:45 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
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- Fix build on x86_64 by using GCC10 instead of GCC11
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  https://github.com/google/XNNPACK/issues/1550
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Thu Jul 22 10:11:03 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
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- Update to 1.9.0
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- Release notes: https://github.com/pytorch/pytorch/releases/tag/v1.9.0
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- Drop upstreamed patch:
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  * fix-mov-operand-for-gcc.patch
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- Drop unneeded patches:
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  * removed-peachpy-depedency.patch
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- Refresh patches:
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  * skip-third-party-check.patch
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  * fix-call-of-onnxInitGraph.patch
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- Add new patch:
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  * pytorch-rm-some-gitmodules.patch
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Thu Jul 22 09:07:31 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
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- Add _service file to ease future update of deps
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Thu Jul 22 08:26:17 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
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- Update sleef to fix build on aarch64
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Fri Apr 23 21:51:36 UTC 2021 - Matej Cepl <mcepl@suse.com>
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- Don't build python36-* package (missing pandas)
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-------------------------------------------------------------------
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Thu Jan 21 23:28:20 UTC 2021 - Benjamin Greiner <code@bnavigator.de>
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- Fix python-rpm-macros usage
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Wed Oct  7 15:15:28 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>
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- Use GCC9 to build on aarch64 Tumbleweed to workaround SVE
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  problem with GCC10 with sleef, see:
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  https://github.com/pytorch/pytorch/issues/45971
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Thu Aug 20 09:04:08 UTC 2020 - Martin Liška <mliska@suse.cz>
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- Use memoryperjob constraint instead of %limit_build macro.
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Tue Jun 23 15:28:57 UTC 2020 - Christian Goll <cgoll@suse.com>
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- updated to new stable release 1.5.1 which has following changes:
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  This release includes several major new API additions and improvements. These
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  include new APIs for autograd allowing for easy computation of hessians and
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  jacobians, a significant update to the C++ frontend, ‘channels last’ memory
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  format for more performant computer vision models, a stable release of the
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  distributed RPC framework used for model parallel training, and a new API
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  that allows for the creation of Custom C++ Classes that was inspired by
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  PyBind. Additionally torch_xla 1.5 is now available and tested with the
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  PyTorch 1.5 release providing a mature Cloud TPU experience.
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  * see release.html for detailed information
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- added patches: 
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  * fix-call-of-onnxInitGraph.patch for API mismatch in onnx
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  * fix-mov-operand-for-gcc.patch for aarch64 operands
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- removed sources:
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  * cpuinfo-89fe1695edf9ee14c22f815f24bac45577a4f135.tar.gz
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  * gloo-7c541247a6fa49e5938e304ab93b6da661823d0f.tar.gz
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  * onnx-fea8568cac61a482ed208748fdc0e1a8e47f62f5.tar.gz
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  * psimd-90a938f30ba414ada2f4b00674ee9631d7d85e19.tar.gz
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  * pthreadpool-13da0b4c21d17f94150713366420baaf1b5a46f4.tar.gz
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- added sources:
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  * cpuinfo-0e6bde92b343c5fbcfe34ecd41abf9515d54b4a7.tar.gz
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  * gloo-113bde13035594cafdca247be953610b53026553.tar.gz
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  * onnx-9fdae4c68960a2d44cd1cc871c74a6a9d469fa1f.tar.gz
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  * psimd-10b4ffc6ea9e2e11668f86969586f88bc82aaefa.tar.gz
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  * pthreadpool-d465747660ecf9ebbaddf8c3db37e4a13d0c9103.tar.gz
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-------------------------------------------------------------------
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Tue Jun 23 09:25:06 UTC 2020 - Christian Goll <cgoll@suse.com>
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- updated to bugfix release 1.4.1 and added _multibuild file so 
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  that cuda versions can be build on commandline
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-------------------------------------------------------------------
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Thu Apr 23 14:30:22 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Make sure to pull py2/py3 package from the devel pkg
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Thu Apr 23 09:54:25 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Do not pull in python2 only dependencies
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-------------------------------------------------------------------
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Wed Feb 26 13:07:14 UTC 2020 - Simon Lees <sflees@suse.de>
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