openSUSE Build Service

buildservice-autocommit accepted request 840089 from

Christian Goll (mslacken) about 4 years ago (revision 24)

baserev update by copy to link target

Christian Goll (mslacken) accepted request 840083 from

Guillaume GARDET (Guillaume_G) about 4 years ago (revision 23)

- Use GCC9 to build on aarch64 Tumbleweed to workaround SVE
  problem with GCC10 with sleef, see:
  https://github.com/pytorch/pytorch/issues/45971

buildservice-autocommit accepted request 828105 from

Tomáš Chvátal (scarabeus_iv) over 4 years ago (revision 22)

baserev update by copy to link target

Tomáš Chvátal (scarabeus_iv) accepted request 828079 from

Martin Liška (marxin) over 4 years ago (revision 21)

Use memoryperjob constraint instead of %limit_build macro.

buildservice-autocommit accepted request 817740 from

Tomáš Chvátal (scarabeus_iv) over 4 years ago (revision 20)

baserev update by copy to link target

Tomáš Chvátal (scarabeus_iv) accepted request 816799 from

Christian Goll (mslacken) over 4 years ago (revision 19)

- updated to new stable release 1.5.1 which has following changes:
  This release includes several major new API additions and improvements. These
  include new APIs for autograd allowing for easy computation of hessians and
  jacobians, a significant update to the C++ frontend, ‘channels last’ memory
  format for more performant computer vision models, a stable release of the
  distributed RPC framework used for model parallel training, and a new API
  that allows for the creation of Custom C++ Classes that was inspired by
  PyBind. Additionally torch_xla 1.5 is now available and tested with the
  PyTorch 1.5 release providing a mature Cloud TPU experience.
  * see release.html for detailed information
- added patches: 
  * fix-call-of-onnxInitGraph.patch for API mismatch in onnx
  * fix-mov-operand-for-gcc.patch for aarch64 operands
- removed sources:
  * cpuinfo-89fe1695edf9ee14c22f815f24bac45577a4f135.tar.gz
  * gloo-7c541247a6fa49e5938e304ab93b6da661823d0f.tar.gz
  * onnx-fea8568cac61a482ed208748fdc0e1a8e47f62f5.tar.gz
  * psimd-90a938f30ba414ada2f4b00674ee9631d7d85e19.tar.gz
  * pthreadpool-13da0b4c21d17f94150713366420baaf1b5a46f4.tar.gz
- added sources:
  * cpuinfo-0e6bde92b343c5fbcfe34ecd41abf9515d54b4a7.tar.gz
  * gloo-113bde13035594cafdca247be953610b53026553.tar.gz
  * onnx-9fdae4c68960a2d44cd1cc871c74a6a9d469fa1f.tar.gz
  * psimd-10b4ffc6ea9e2e11668f86969586f88bc82aaefa.tar.gz
  * pthreadpool-d465747660ecf9ebbaddf8c3db37e4a13d0c9103.tar.gz

- updated to bugfix release 1.4.1 and added _multibuild file so 
  that cuda versions can be build on commandline

buildservice-autocommit accepted request 799282 from

Factory Maintainer (factory-maintainer) over 4 years ago (revision 18)

baserev update by copy to link target

buildservice-autocommit accepted request 796470 from

Tomáš Chvátal (scarabeus_iv) over 4 years ago (revision 17)

baserev update by copy to link target

Tomáš Chvátal (scarabeus_iv) committed over 4 years ago (revision 16)

- Make sure to pull py2/py3 package from the devel pkg

Tomáš Chvátal (scarabeus_iv) committed over 4 years ago (revision 15)

- Do not pull in python2 only dependencies

Dominique Leuenberger (dimstar_suse) accepted request 779507 from

Christian Goll (mslacken) over 4 years ago (revision 14)

initialized devel package after accepting 779507

Christian Goll (mslacken) accepted request 779412 from

Simon Lees (simotek) almost 5 years ago (revision 13)

- Exclude i586 builds for now, they fail with a cryptic return
  code of 1 from cmake from python.

This will be needed for the package to be accepted into factory

Christian Goll (mslacken) accepted request 779129 from

Christian Goll (mslacken) almost 5 years ago (revision 12)

and again

Christian Goll (mslacken) accepted request 779114 from

Christian Goll (mslacken) almost 5 years ago (revision 11)

  and in the releases.hml file
  * releases.html which is the downloaded releases file

Christian Goll (mslacken) committed almost 5 years ago (revision 10)

removed releases file

Christian Goll (mslacken) accepted request 779063 from

Christian Goll (mslacken) almost 5 years ago (revision 9)

added all the removed sources

Christian Goll (mslacken) accepted request 779051 from

Christian Goll (mslacken) almost 5 years ago (revision 8)

- updated the requirement for examples and converters

Christian Goll (mslacken) accepted request 778030 from

Christian Goll (mslacken) almost 5 years ago (revision 7)

- updated to stable release 1.4.0, which has as Highlights:
  * Distributed Model Parallel Training
  * Pruning functionalities have been added to PyTorch 
- New Features:
  * torch.optim.lr_scheduler now support “chaining.”
  * torch.distributed.rpc is a newly introduced package
- full Changelog listed in relases file or under
  https://github.com/pytorch/pytorch/releases
- added files: 
  * skip-third-party-check.patch which is a patch to skip
    the check of disabled dependencies
  * QNNPACK-7d2a4e9931a82adc3814275b6219a03e24e36b4c.tar.gz
    which is part of pytorch but developed in different repo
- removed patch files:
  * fix-build-options.patch
  * honor-PSIMD-env.patch
  * removed-some-tests.patch
- Requires python-PeachPy on x86_64 only, as it is optional
  and available on x86_64 only

Christian Goll (mslacken) accepted request 764204 from

Christian Goll (mslacken) almost 5 years ago (revision 6)

- updated the requirement for examples and converters

Christian Goll (mslacken) accepted request 764304 from

Guillaume GARDET (Guillaume_G) almost 5 years ago (revision 5)

Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only

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