Date: Sunday, November 17, 2019 @ 22:38:31 Author: svenstaro Revision: 530255
archrelease: copy trunk to community-x86_64 Added: python-pytorch/repos/community-x86_64/PKGBUILD (from rev 530254, python-pytorch/trunk/PKGBUILD) Deleted: python-pytorch/repos/community-x86_64/PKGBUILD ----------+ PKGBUILD | 326 ++++++++++++++++++++++++++++++------------------------------- 1 file changed, 163 insertions(+), 163 deletions(-) Deleted: PKGBUILD =================================================================== --- PKGBUILD 2019-11-17 22:38:19 UTC (rev 530254) +++ PKGBUILD 2019-11-17 22:38:31 UTC (rev 530255) @@ -1,163 +0,0 @@ -# Maintainer: Sven-Hendrik Haase <s...@lutzhaase.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=1.3.1 -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$pkgver") -sha256sums=('SKIP') - -get_pyver () { - python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))' -} - -prepare() { - cd "${_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#^ ${CMAKE_CURRENT_SOURCE_DIR}/tensor_iterator_test.cpp##g' aten/src/ATen/test/CMakeLists.txt - - # Fix build with Python 3.8 - # https://github.com/pytorch/pytorch/issues/28060 - find -name '*.cpp' -exec sed -i '/tp_print/s/nullptr/0/' {} + - - cd .. - - cp -a "${_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;6.1;6.2;7.0;7.2;7.5" -} - -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 530254, python-pytorch/trunk/PKGBUILD) =================================================================== --- PKGBUILD (rev 0) +++ PKGBUILD 2019-11-17 22:38:31 UTC (rev 530255) @@ -0,0 +1,163 @@ +# Maintainer: Sven-Hendrik Haase <s...@lutzhaase.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=1.3.1 +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') +source=("${_pkgname}-${pkgver}::git+https://github.com/pytorch/pytorch.git#tag=v$pkgver") +sha256sums=('SKIP') + +get_pyver () { + python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))' +} + +prepare() { + cd "${_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#^ ${CMAKE_CURRENT_SOURCE_DIR}/tensor_iterator_test.cpp##g' aten/src/ATen/test/CMakeLists.txt + + # Fix build with Python 3.8 + # https://github.com/pytorch/pytorch/issues/28060 + find -name '*.cpp' -exec sed -i '/tp_print/s/nullptr/0/' {} + + + cd .. + + cp -a "${_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: