[arch-commits] Commit in python-pytorch/repos/community-x86_64 (4 files)

Sven-Hendrik Haase svenstaro at archlinux.org
Sun Jan 26 05:00:42 UTC 2020


    Date: Sunday, January 26, 2020 @ 05:00:42
  Author: svenstaro
Revision: 555636

archrelease: copy trunk to community-x86_64

Added:
  python-pytorch/repos/community-x86_64/PKGBUILD
    (from rev 555635, python-pytorch/trunk/PKGBUILD)
  python-pytorch/repos/community-x86_64/fix_include_system.patch
    (from rev 555635, python-pytorch/trunk/fix_include_system.patch)
Deleted:
  python-pytorch/repos/community-x86_64/PKGBUILD
  python-pytorch/repos/community-x86_64/fix_include_system.patch

--------------------------+
 PKGBUILD                 |  344 ++++++++++++++++++++++-----------------------
 fix_include_system.patch |   22 +-
 2 files changed, 183 insertions(+), 183 deletions(-)

Deleted: PKGBUILD
===================================================================
--- PKGBUILD	2020-01-26 05:00:32 UTC (rev 555635)
+++ PKGBUILD	2020-01-26 05:00:42 UTC (rev 555636)
@@ -1,172 +0,0 @@
-# Maintainer: Sven-Hendrik Haase <svenstaro at gmail.com>
-# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
-
-pkgbase="python-pytorch"
-pkgname=("python-pytorch" "python-pytorch-opt" "python-pytorch-cuda" "python-pytorch-opt-cuda")
-_pkgname="pytorch"
-pkgver=1.4.0
-pkgrel=2
-pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-arch=('x86_64')
-url="https://pytorch.org"
-license=('BSD')
-depends=('google-glog' 'gflags' 'opencv' 'openmp' 'nccl' 'pybind11' 'python' 'python-yaml' 'python-numpy' 'protobuf' 'ffmpeg' 'python-future' 'qt5-base')
-makedepends=('python' 'python-setuptools' 'python-yaml' 'python-numpy' 'cmake' 'cuda' 'cudnn' 'git' 'magma')
-source=("${_pkgname}-${pkgver}::git+https://github.com/pytorch/pytorch.git#tag=v$pkgver"
-        fix_include_system.patch
-        https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30332.patch
-        https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30333.patch)
-sha256sums=('SKIP'
-            '147bdaeac8ec46ea46382e6146878bd8f8d51e05d5bd6f930dfd8e2b520859b9'
-            '3170551116798dc496636a87f00b86c6463895bb6d174df616c5224adfb74ff3'
-            'c8c305c892be85c47872ae1f1ecd5b3b8af12876fbfe3641045c8c839e5126da')
-
-get_pyver () {
-  python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
-}
-
-prepare() {
-  cd "${_pkgname}-${pkgver}"
-
-  # This is the lazy way since pytorch has sooo many submodules and they keep
-  # changing them around but we've run into more problems so far doing it the
-  # manual than the lazy way. This lazy way (not explicitly specifying all
-  # submodules) will make building inefficient but for now I'll take it.
-  # It will result in the same package, don't worry.
-  git submodule update --init --recursive
-
-  # https://github.com/pytorch/pytorch/issues/26555
-  sed -i 's#^  ${CMAKE_CURRENT_SOURCE_DIR}/tensor_iterator_test.cpp##g' aten/src/ATen/test/CMakeLists.txt
-
-  # https://bugs.archlinux.org/task/64981
-  patch -N torch/utils/cpp_extension.py "${srcdir}"/fix_include_system.patch
-
-  # https://github.com/pytorch/pytorch/issues/32277
-  patch -Np1 -i "$srcdir"/30332.patch
-  patch -Np1 -i "$srcdir"/30333.patch
-
-  cd ..
-
-  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt"
-  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-cuda"
-  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt-cuda"
-
-  export VERBOSE=1
-  export PYTORCH_BUILD_VERSION="${pkgver}"
-  export PYTORCH_BUILD_NUMBER=1
-
-  # Check tools/setup_helpers/cmake.py, setup.py and CMakeLists.txt for a list of flags that can be set via env vars.
-  export USE_MKLDNN=OFF
-  # export BUILD_CUSTOM_PROTOBUF=OFF
-  # export BUILD_SHARED_LIBS=OFF
-  export USE_FFMPEG=ON
-  export USE_GFLAGS=ON
-  export USE_GLOG=ON
-  export BUILD_BINARY=ON
-  export USE_OPENCV=ON
-  export USE_SYSTEM_NCCL=ON
-  export CUDAHOSTCXX=g++-8
-  export CUDA_HOME=/opt/cuda
-  export CUDNN_LIB_DIR=/usr/lib
-  export CUDNN_INCLUDE_DIR=/usr/include
-  export TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
-  export TORCH_CUDA_ARCH_LIST="3.2;3.5;3.7;5.0;5.2;5.3;6.0;6.0+PTX;6.1;6.1+PTX;6.2;6.2+PTX;7.0;7.0+PTX;7.2;7.2+PTX;7.5;7.5+PTX"
-}
-
-build() {
-  echo "Building without cuda and without non-x86-64 optimizations"
-  export USE_CUDA=0
-  export USE_CUDNN=0
-  cd "${srcdir}/${_pkgname}-${pkgver}"
-  python setup.py build
-
-
-  echo "Building without cuda and with non-x86-64 optimizations"
-  export USE_CUDA=0
-  export USE_CUDNN=0
-  cd "${srcdir}/${_pkgname}-${pkgver}-opt"
-  echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
-  python setup.py build
-
-
-  echo "Building with cuda and without non-x86-64 optimizations"
-  export USE_CUDA=1
-  export USE_CUDNN=1
-  cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
-  python setup.py build
-
-
-  echo "Building with cuda and with non-x86-64 optimizations"
-  export USE_CUDA=1
-  export USE_CUDNN=1
-  cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
-  echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
-  python setup.py build
-}
-
-_package() {
-  # Prevent setup.py from re-running CMake and rebuilding
-  sed -e 's/RUN_BUILD_DEPS = True/RUN_BUILD_DEPS = False/g' -i setup.py
-
-  python setup.py install --root="${pkgdir}"/ --optimize=1 --skip-build
-
-  install -Dm644 LICENSE "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
-
-  pytorchpath="usr/lib/python$(get_pyver)/site-packages/torch"
-  install -d "${pkgdir}/usr/lib"
-
-  # put CMake files in correct place
-  mv "${pkgdir}/${pytorchpath}/share/cmake" "${pkgdir}/usr/lib/cmake"
-
-  # put C++ API in correct place
-  mv "${pkgdir}/${pytorchpath}/include" "${pkgdir}/usr/include"
-  mv "${pkgdir}/${pytorchpath}/lib"/*.so* "${pkgdir}/usr/lib/"
-
-  # clean up duplicates
-  # TODO: move towards direct shared library dependecy of:
-  #   c10, caffe2, libcpuinfo, CUDA RT, gloo, GTest, Intel MKL,
-  #   NVRTC, ONNX, protobuf, libthreadpool, QNNPACK
-  rm -rf "${pkgdir}/usr/include/pybind11"
-
-  # python module is hardcoded to look there at runtime
-  ln -s /usr/include "${pkgdir}/${pytorchpath}/include"
-  find "${pkgdir}"/usr/lib -type f -name "*.so*" -print0 | while read -rd $'\0' _lib; do
-    ln -s ${_lib#"$pkgdir"} "${pkgdir}/${pytorchpath}/lib/"
-  done
-}
-
-package_python-pytorch() {
-  cd "${srcdir}/${_pkgname}-${pkgver}"
-  _package
-}
-
-package_python-pytorch-opt() {
-  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CPU optimizations)"
-  conflicts=(python-pytorch)
-  provides=(python-pytorch)
-
-  cd "${srcdir}/${_pkgname}-${pkgver}-opt"
-  _package
-}
-
-package_python-pytorch-cuda() {
-  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA)"
-  depends+=(cuda cudnn magma)
-  conflicts=(python-pytorch)
-  provides=(python-pytorch)
-
-  cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
-  _package
-}
-
-package_python-pytorch-opt-cuda() {
-  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and CPU optimizations)"
-  depends+=(cuda cudnn magma)
-  conflicts=(python-pytorch)
-  provides=(python-pytorch python-pytorch-cuda)
-
-  cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
-  _package
-}
-
-# vim:set ts=2 sw=2 et:

Copied: python-pytorch/repos/community-x86_64/PKGBUILD (from rev 555635, python-pytorch/trunk/PKGBUILD)
===================================================================
--- PKGBUILD	                        (rev 0)
+++ PKGBUILD	2020-01-26 05:00:42 UTC (rev 555636)
@@ -0,0 +1,172 @@
+# Maintainer: Sven-Hendrik Haase <svenstaro at gmail.com>
+# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
+
+pkgbase="python-pytorch"
+pkgname=("python-pytorch" "python-pytorch-opt" "python-pytorch-cuda" "python-pytorch-opt-cuda")
+_pkgname="pytorch"
+pkgver=1.4.0
+pkgrel=3
+pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+arch=('x86_64')
+url="https://pytorch.org"
+license=('BSD')
+depends=('google-glog' 'gflags' 'opencv' 'openmp' 'nccl' 'pybind11' 'python' 'python-yaml' 'python-numpy' 'protobuf' 'ffmpeg' 'python-future' 'qt5-base')
+makedepends=('python' 'python-setuptools' 'python-yaml' 'python-numpy' 'cmake' 'cuda' 'cudnn' 'git' 'magma' 'ninja')
+source=("${_pkgname}-${pkgver}::git+https://github.com/pytorch/pytorch.git#tag=v$pkgver"
+        fix_include_system.patch
+        https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30332.patch
+        https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/30333.patch)
+sha256sums=('SKIP'
+            '147bdaeac8ec46ea46382e6146878bd8f8d51e05d5bd6f930dfd8e2b520859b9'
+            '3170551116798dc496636a87f00b86c6463895bb6d174df616c5224adfb74ff3'
+            'c8c305c892be85c47872ae1f1ecd5b3b8af12876fbfe3641045c8c839e5126da')
+
+get_pyver () {
+  python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
+}
+
+prepare() {
+  cd "${_pkgname}-${pkgver}"
+
+  # This is the lazy way since pytorch has sooo many submodules and they keep
+  # changing them around but we've run into more problems so far doing it the
+  # manual than the lazy way. This lazy way (not explicitly specifying all
+  # submodules) will make building inefficient but for now I'll take it.
+  # It will result in the same package, don't worry.
+  git submodule update --init --recursive
+
+  # https://github.com/pytorch/pytorch/issues/26555
+  sed -i 's#^  ${CMAKE_CURRENT_SOURCE_DIR}/tensor_iterator_test.cpp##g' aten/src/ATen/test/CMakeLists.txt
+
+  # https://bugs.archlinux.org/task/64981
+  patch -N torch/utils/cpp_extension.py "${srcdir}"/fix_include_system.patch
+
+  # https://github.com/pytorch/pytorch/issues/32277
+  patch -Np1 -i "$srcdir"/30332.patch
+  patch -Np1 -i "$srcdir"/30333.patch
+
+  cd ..
+
+  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt"
+  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-cuda"
+  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt-cuda"
+
+  export VERBOSE=1
+  export PYTORCH_BUILD_VERSION="${pkgver}"
+  export PYTORCH_BUILD_NUMBER=1
+
+  # Check tools/setup_helpers/cmake.py, setup.py and CMakeLists.txt for a list of flags that can be set via env vars.
+  export USE_MKLDNN=OFF
+  # export BUILD_CUSTOM_PROTOBUF=OFF
+  # export BUILD_SHARED_LIBS=OFF
+  export USE_FFMPEG=ON
+  export USE_GFLAGS=ON
+  export USE_GLOG=ON
+  export BUILD_BINARY=ON
+  export USE_OPENCV=ON
+  export USE_SYSTEM_NCCL=ON
+  export CUDAHOSTCXX=g++-8
+  export CUDA_HOME=/opt/cuda
+  export CUDNN_LIB_DIR=/usr/lib
+  export CUDNN_INCLUDE_DIR=/usr/include
+  export TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
+  export TORCH_CUDA_ARCH_LIST="3.2;3.5;3.7;5.0;5.2;5.3;6.0;6.0+PTX;6.1;6.1+PTX;6.2;6.2+PTX;7.0;7.0+PTX;7.2;7.2+PTX;7.5;7.5+PTX"
+}
+
+build() {
+  echo "Building without cuda and without non-x86-64 optimizations"
+  export USE_CUDA=0
+  export USE_CUDNN=0
+  cd "${srcdir}/${_pkgname}-${pkgver}"
+  python setup.py build
+
+
+  echo "Building without cuda and with non-x86-64 optimizations"
+  export USE_CUDA=0
+  export USE_CUDNN=0
+  cd "${srcdir}/${_pkgname}-${pkgver}-opt"
+  echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
+  python setup.py build
+
+
+  echo "Building with cuda and without non-x86-64 optimizations"
+  export USE_CUDA=1
+  export USE_CUDNN=1
+  cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
+  python setup.py build
+
+
+  echo "Building with cuda and with non-x86-64 optimizations"
+  export USE_CUDA=1
+  export USE_CUDNN=1
+  cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
+  echo "add_definitions(-march=haswell)" >> cmake/MiscCheck.cmake
+  python setup.py build
+}
+
+_package() {
+  # Prevent setup.py from re-running CMake and rebuilding
+  sed -e 's/RUN_BUILD_DEPS = True/RUN_BUILD_DEPS = False/g' -i setup.py
+
+  python setup.py install --root="${pkgdir}"/ --optimize=1 --skip-build
+
+  install -Dm644 LICENSE "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
+
+  pytorchpath="usr/lib/python$(get_pyver)/site-packages/torch"
+  install -d "${pkgdir}/usr/lib"
+
+  # put CMake files in correct place
+  mv "${pkgdir}/${pytorchpath}/share/cmake" "${pkgdir}/usr/lib/cmake"
+
+  # put C++ API in correct place
+  mv "${pkgdir}/${pytorchpath}/include" "${pkgdir}/usr/include"
+  mv "${pkgdir}/${pytorchpath}/lib"/*.so* "${pkgdir}/usr/lib/"
+
+  # clean up duplicates
+  # TODO: move towards direct shared library dependecy of:
+  #   c10, caffe2, libcpuinfo, CUDA RT, gloo, GTest, Intel MKL,
+  #   NVRTC, ONNX, protobuf, libthreadpool, QNNPACK
+  rm -rf "${pkgdir}/usr/include/pybind11"
+
+  # python module is hardcoded to look there at runtime
+  ln -s /usr/include "${pkgdir}/${pytorchpath}/include"
+  find "${pkgdir}"/usr/lib -type f -name "*.so*" -print0 | while read -rd $'\0' _lib; do
+    ln -s ${_lib#"$pkgdir"} "${pkgdir}/${pytorchpath}/lib/"
+  done
+}
+
+package_python-pytorch() {
+  cd "${srcdir}/${_pkgname}-${pkgver}"
+  _package
+}
+
+package_python-pytorch-opt() {
+  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CPU optimizations)"
+  conflicts=(python-pytorch)
+  provides=(python-pytorch)
+
+  cd "${srcdir}/${_pkgname}-${pkgver}-opt"
+  _package
+}
+
+package_python-pytorch-cuda() {
+  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA)"
+  depends+=(cuda cudnn magma)
+  conflicts=(python-pytorch)
+  provides=(python-pytorch)
+
+  cd "${srcdir}/${_pkgname}-${pkgver}-cuda"
+  _package
+}
+
+package_python-pytorch-opt-cuda() {
+  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and CPU optimizations)"
+  depends+=(cuda cudnn magma)
+  conflicts=(python-pytorch)
+  provides=(python-pytorch python-pytorch-cuda)
+
+  cd "${srcdir}/${_pkgname}-${pkgver}-opt-cuda"
+  _package
+}
+
+# vim:set ts=2 sw=2 et:

Deleted: fix_include_system.patch
===================================================================
--- fix_include_system.patch	2020-01-26 05:00:32 UTC (rev 555635)
+++ fix_include_system.patch	2020-01-26 05:00:42 UTC (rev 555636)
@@ -1,11 +0,0 @@
---- a/utils/cpp_extension.py	2019-12-29 12:59:36.083692770 -0300
-+++ b/utils/cpp_extension.py	2020-01-08 09:52:16.435316701 -0300
-@@ -1098,7 +1098,7 @@
-     if BUILD_NAMEDTENSOR:
-         common_cflags.append('-DBUILD_NAMEDTENSOR')
-     common_cflags += ['-I{}'.format(include) for include in user_includes]
--    common_cflags += ['-isystem {}'.format(include) for include in system_includes]
-+    common_cflags += ['-I{}'.format(include) for include in system_includes]
- 
-     common_cflags += ['-D_GLIBCXX_USE_CXX11_ABI=' + str(int(torch._C._GLIBCXX_USE_CXX11_ABI))]
-

Copied: python-pytorch/repos/community-x86_64/fix_include_system.patch (from rev 555635, python-pytorch/trunk/fix_include_system.patch)
===================================================================
--- fix_include_system.patch	                        (rev 0)
+++ fix_include_system.patch	2020-01-26 05:00:42 UTC (rev 555636)
@@ -0,0 +1,11 @@
+--- a/utils/cpp_extension.py	2019-12-29 12:59:36.083692770 -0300
++++ b/utils/cpp_extension.py	2020-01-08 09:52:16.435316701 -0300
+@@ -1098,7 +1098,7 @@
+     if BUILD_NAMEDTENSOR:
+         common_cflags.append('-DBUILD_NAMEDTENSOR')
+     common_cflags += ['-I{}'.format(include) for include in user_includes]
+-    common_cflags += ['-isystem {}'.format(include) for include in system_includes]
++    common_cflags += ['-I{}'.format(include) for include in system_includes]
+ 
+     common_cflags += ['-D_GLIBCXX_USE_CXX11_ABI=' + str(int(torch._C._GLIBCXX_USE_CXX11_ABI))]
+



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