Overview

File python-torch.changes of Package python-torch

-------------------------------------------------------------------
Thu Jan 21 23:28:20 UTC 2021 - Benjamin Greiner <code@bnavigator.de>

- Fix python-rpm-macros usage

-------------------------------------------------------------------
Wed Oct  7 15:15:28 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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

-------------------------------------------------------------------
Thu Aug 20 09:04:08 UTC 2020 - Martin Liška <mliska@suse.cz>

- Use memoryperjob constraint instead of %limit_build macro.

-------------------------------------------------------------------
Tue Jun 23 15:28:57 UTC 2020 - Christian Goll <cgoll@suse.com>

- 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

-------------------------------------------------------------------
Tue Jun 23 09:25:06 UTC 2020 - Christian Goll <cgoll@suse.com>

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

-------------------------------------------------------------------
Thu Apr 23 14:30:22 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

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

-------------------------------------------------------------------
Thu Apr 23 09:54:25 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

- Do not pull in python2 only dependencies

-------------------------------------------------------------------
Wed Feb 26 13:07:14 UTC 2020 - Simon Lees <sflees@suse.de>

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

-------------------------------------------------------------------
Fri Feb 21 14:15:00 UTC 2020 - Christian Goll <cgoll@suse.com>

- 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
  and in the releases.hml file
- 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
  * releases.html which is the downloaded releases file
- removed patch files:
  * fix-build-options.patch
  * honor-PSIMD-env.patch
  * removed-some-tests.patch

-------------------------------------------------------------------
Tue Jan 14 13:01:33 UTC 2020 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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

-------------------------------------------------------------------
Wed Jan  8 10:47:18 UTC 2020 - Christian Goll <cgoll@suse.com>

- updated the requirement for examples and converters

-------------------------------------------------------------------
Wed Jun 12 11:17:34 UTC 2019 - Christian Goll <cgoll@suse.com>

- Updated to stable version 1.1.0, which needed also updates of
  following dependend sources:
  * onnx-1.4.1.tar.gz ->
    onnx-22662bfd4dcc6baebf29e3b823a051676f991001.tar.gz
- Removed following sources:
  * FBGEMM-f65f0ebe54f0512d8f42ee10025b596e3f42e0b8.tar.gz
- Added following sources:
  * foxi-8f74bc4df3a4cfc69b1a3eadf62aa29d9961c72d.tar.gz
- Changed patch 
  * fix-build-options.patch to work with new buid system and
    exclude FBGEMM
- Added patch:
  * honor-PSIMD-env.patch, which makes depend sources of pytorch
    to use the source of psimd

-------------------------------------------------------------------
Tue Mar 26 09:33:11 UTC 2019 - Christian Goll <cgoll@suse.com>

- Inital commit of pytorch/caffe2 which is an opensource 
  machineleraning platform. This is the stable release 1.0.1 
  including like other tools a lot of third party sources, 
  which could not be used from the base system due to messy 
  build system. Additional sources are
  * gloo, a communitcation library for GPUs as
    gloo-670b4d4aa46886cc66874e2a4dc846f5cfc2a285.tar.gz
  * fbgemm, a low precission, high peformance matrix lib
    FBGEMM-f65f0ebe54f0512d8f42ee10025b596e3f42e0b8.tar.gz
  * cpuinfo, a cross platform cpu information tool
    cpuinfo-89fe1695edf9ee14c22f815f24bac45577a4f135.tar.gz
  * sleef, a function for elementary functions
    sleef-191f655caa25526ae226cf88dd2529265176014a.tar.gz
  * pytbind11, which exposes C/C++ headers to pythob, but
    the source code of this library is deeply integrated into
    pytorch, so we need
    pybind11-25abf7efba0b2990f5a6dfb0a31bc65c0f2f4d17.tar.gz
  * onnx, which is an format for exchaning neural networks as
    onnx-1.4.1.tar.gz
  * pthreadpool, a pthread based thread tool implementation, which 
    can be used when omp is not available
    pthreadpool-13da0b4c21d17f94150713366420baaf1b5a46f4.tar.gz
  * FXdiv, a Header-only library for division via fixed-point 
    multiplication by inverse, which has no stable API atm, so
    FXdiv-b742d1143724d646cd0f914646f1240eacf5bd73.tar.gz
  * psimd, portable 128-bit SIMD intrinsics
    psimd-90a938f30ba414ada2f4b00674ee9631d7d85e19.tar.gz
  * fp16, a numeric conversion library
    FP16-febbb1c163726b5db24bed55cc9dc42529068997.tar.gz
  * gemmlowp, self-contained low-precision GEMM library as
    gemmlowp-8416bab644641a5c0a81ecf91a5cda804af0aee1.tar.gz
  * fix-build-options.patch, which points pytorch to system libs
  * removed-peachpy-depedency.patch, which forces to use system 
    peachpy
openSUSE Build Service is sponsored by
Places