python3-torch-1.4.0-bp153.1.1 RPM for armv7hl

From OpenSuSE Ports Leap 15.3 for armv7hl

PyTorch enables fast, flexible experimentation and efficient production through
a hybrid front-end, distributed training, and ecosystem of tools and libraries.
The library is developed by Facebook and other groups.
PyTorch provides two high-level features:
* Tensor computing (like NumPy) with strong acceleration via graphics
* processing units (GPU) Deep neural networks built on a tape-based autodiff
  system

Provides

• python3-torch
• libc10.so
• libcaffe2_detectron_ops.so
• libcaffe2_observers.so
• libshm.so
• libtorch.so
• libtorch_python.so
• python3-caffe2
• python3-pytorch
• python3-torch(armv7hl-32)

Requires

• ld-linux-armhf.so.3
• ld-linux-armhf.so.3(GLIBC_2.4)
• libc.so.6
• libc.so.6(GLIBC_2.11)
• libc.so.6(GLIBC_2.16)
• libc.so.6(GLIBC_2.17)
• libc.so.6(GLIBC_2.28)
• libc.so.6(GLIBC_2.4)
• libc.so.6(GLIBC_2.6)
• libc.so.6(GLIBC_2.7)
• libc10.so
• libdl.so.2
• libdl.so.2(GLIBC_2.4)
• libgcc_s.so.1
• libgcc_s.so.1(GCC_3.5)
• libgcc_s.so.1(GCC_4.0.0)
• libgcc_s.so.1(GCC_4.3.0)
• libgomp.so.1
• libgomp.so.1(GOMP_1.0)
• libgomp.so.1(GOMP_4.0)
• libgomp.so.1(OMP_1.0)
• libleveldb.so.1
• liblmdb-0.9.17.so
• libm.so.6
• libm.so.6(GLIBC_2.23)
• libm.so.6(GLIBC_2.27)
• libm.so.6(GLIBC_2.29)
• libm.so.6(GLIBC_2.4)
• libnuma.so.1
• libnuma.so.1(libnuma_1.1)
• libnuma.so.1(libnuma_1.2)
• libopenblas_openmp.so.0
• libprotobuf.so.20
• libpthread.so.0
• libpthread.so.0(GLIBC_2.12)
• libpthread.so.0(GLIBC_2.4)
• libpython3.6m.so.1.0
• librt.so.1
• librt.so.1(GLIBC_2.4)
• libshm.so
• libsnappy.so.1
• libstdc++.so.6
• libstdc++.so.6(CXXABI_1.3)
• libstdc++.so.6(CXXABI_1.3.11)
• libstdc++.so.6(CXXABI_1.3.2)
• libstdc++.so.6(CXXABI_1.3.3)
• libstdc++.so.6(CXXABI_1.3.5)
• libstdc++.so.6(CXXABI_1.3.7)
• libstdc++.so.6(CXXABI_1.3.8)
• libstdc++.so.6(CXXABI_ARM_1.3.3)
• libstdc++.so.6(GLIBCXX_3.4)
• libstdc++.so.6(GLIBCXX_3.4.11)
• libstdc++.so.6(GLIBCXX_3.4.14)
• libstdc++.so.6(GLIBCXX_3.4.15)
• libstdc++.so.6(GLIBCXX_3.4.17)
• libstdc++.so.6(GLIBCXX_3.4.18)
• libstdc++.so.6(GLIBCXX_3.4.19)
• libstdc++.so.6(GLIBCXX_3.4.20)
• libstdc++.so.6(GLIBCXX_3.4.21)
• libstdc++.so.6(GLIBCXX_3.4.22)
• libstdc++.so.6(GLIBCXX_3.4.9)
• libtorch.so
• libtorch_python.so
• python(abi) = 3.6
• python3-future
• python3-leveldb
• python3-numpy
• python3-protobuf
• python3-six
• rpmlib(CompressedFileNames) <= 3.0.4-1
• rpmlib(FileDigests) <= 4.6.0-1
• rpmlib(PartialHardlinkSets) <= 4.0.4-1
• rpmlib(PayloadFilesHavePrefix) <= 4.0-1
• rpmlib(PayloadIsXz) <= 5.2-1

License

BSD-2-Clause AND BSD-3-Clause AND MIT AND Zlib AND BSL-1.0 AND Apache-2.0

Changelog

* Thu Apr 23 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Make sure to pull py2/py3 package from the devel pkg
* Thu Apr 23 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Do not pull in python2 only dependencies
* Wed Feb 26 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 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 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 08 2020 Christian Goll <cgoll@suse.com>
  - updated the requirement for examples and converters
* Wed Jun 12 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 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

Files

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Fabrice Bellet, Tue Jul 9 15:33:36 2024