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OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=31
2022-05-24 07:53:14 +02:00
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Thu Jul 22 14:40:45 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix build on x86_64 by using GCC10 instead of GCC11
https://github.com/google/XNNPACK/issues/1550
-------------------------------------------------------------------
Thu Jul 22 10:11:03 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update to 1.9.0
- Release notes: https://github.com/pytorch/pytorch/releases/tag/v1.9.0
- Drop upstreamed patch:
* fix-mov-operand-for-gcc.patch
- Drop unneeded patches:
* removed-peachpy-depedency.patch
- Refresh patches:
* skip-third-party-check.patch
* fix-call-of-onnxInitGraph.patch
- Add new patch:
* pytorch-rm-some-gitmodules.patch
-------------------------------------------------------------------
Thu Jul 22 09:07:31 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
- 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>
- Update sleef to fix build on aarch64
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Fri Apr 23 21:51:36 UTC 2021 - Matej Cepl <mcepl@suse.com>
- Don't build python36-* package (missing pandas)
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Thu Jan 21 23:28:20 UTC 2021 - Benjamin Greiner <code@bnavigator.de>
- Fix python-rpm-macros usage
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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
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=13
2020-02-26 14:47:31 +01:00
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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.
Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=5
2020-01-14 15:16:11 +01:00
-------------------------------------------------------------------
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=7
2020-02-21 16:50:33 +01:00
Fri Feb 21 14:15:00 UTC 2020 - Christian Goll <cgoll@suse.com>
Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=5
2020-01-14 15:16:11 +01:00
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=7
2020-02-21 16:50:33 +01:00
- 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 * releases.html which is the downloaded releases file OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=11
2020-02-25 15:08:41 +01:00
and in the releases.hml file
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=7
2020-02-21 16:50:33 +01:00
- 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
and in the releases.hml file * releases.html which is the downloaded releases file OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=11
2020-02-25 15:08:41 +01:00
* releases.html which is the downloaded releases file
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=7
2020-02-21 16:50:33 +01:00
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=5
2020-01-14 15:16:11 +01:00
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=7
2020-02-21 16:50:33 +01:00
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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
- updated the requirement for examples and converters OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=8
2020-02-25 13:33:19 +01:00
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Wed Jan 8 10:47:18 UTC 2020 - Christian Goll <cgoll@suse.com>
- updated the requirement for examples and converters
- moved libraries to seperate package, unfortunatley they have no version, so these are plain .so files - THNN.h and THCUNN.h are interpred by the python and can so not be part of the devel package OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=1
2019-08-28 13:58:32 +02:00
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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
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