create python-pytorch-rocm package

1 files changed, 142 insertions, 0 deletions

diff --git a/PKGBUILD b/PKGBUILD
new file mode 100644
index 000000000000..d1f72b2ceaec
--- /dev/null
+++ b/PKGBUILD
@@ -0,0 +1,142 @@
+# Maintainer: acxz <akashpatel2008 at yahoo dot com>
+# Contributor: Sven-Hendrik Haase <svenstaro@gmail.com>
+# Contributor: Stephen Zhang <zsrkmyn at gmail dot com>
+
+pkgbase=python-pytorch-rocm
+pkgname=("python-pytorch-rocm" "python-pytorch-opt-rocm")
+_pkgname="pytorch"
+pkgver=1.5.0
+pkgrel=1
+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' 'rccl' 'pybind11' 'python' 'python-yaml'
+         'python-numpy' 'protobuf' 'ffmpeg' 'python-future' 'qt5-base' 'onednn' 'intel-mkl')
+makedepends=('python' 'python-setuptools' 'python-yaml' 'python-numpy' 'cmake' 'rocm'
+             'git' 'magma' 'ninja' 'pkgconfig' 'doxygen')
+source=("${_pkgname}-${pkgver}::git+https://github.com/pytorch/pytorch.git#tag=v$pkgver"
+        https://patch-diff.githubusercontent.com/raw/pytorch/pytorch/pull/35359.patch
+        fix_include_system.patch)
+sha256sums=('SKIP'
+            '1a67a90174276e9462e632df1bbb2e9fd7890f08da45d831edf1610c0e3e3c72'
+            '147bdaeac8ec46ea46382e6146878bd8f8d51e05d5bd6f930dfd8e2b520859b9')
+
+get_pyver () {
+  python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
+}
+
+prepare() {
+  cd "${_pkgname}-${pkgver}"
+
+  # This is the lazy way since pytorch has sooo many submodules and they keep
+  # changing them around but we've run into more problems so far doing it the
+  # manual than the lazy way. This lazy way (not explicitly specifying all
+  # submodules) will make building inefficient but for now I'll take it.
+  # It will result in the same package, don't worry.
+  git submodule update --init --recursive
+
+  # https://github.com/pytorch/pytorch/pull/35359
+  patch -Np1 -i "${srcdir}/35359.patch"
+
+  # https://bugs.archlinux.org/task/64981
+  patch -N torch/utils/cpp_extension.py "${srcdir}"/fix_include_system.patch
+
+  # remove local nccl
+  rm -rf third_party/nccl/nccl
+
+  cd ..
+
+  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-rocm"
+  cp -a "${_pkgname}-${pkgver}" "${_pkgname}-${pkgver}-opt-rocm"
+
+  export VERBOSE=1
+  export PYTORCH_BUILD_VERSION="${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=ON
+  # 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 NCCL_VERSION=$(pkg-config nccl --modversion)
+  export NCCL_VER_CODE=$(sed -n 's/^#define NCCL_VERSION_CODE\s*\(.*\).*/\1/p' /usr/include/nccl.h)
+  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 with rocm and without non-x86-64 optimizations"
+  export USE_ROCM=1
+  cd "${srcdir}/${_pkgname}-${pkgver}-rocm"
+  python setup.py build
+
+
+  echo "Building with rocm and with non-x86-64 optimizations"
+  export USE_ROCM=1
+  cd "${srcdir}/${_pkgname}-${pkgver}-opt-rocm"
+  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-rocm() {
+  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with ROCM)"
+  depends+=(rocm magma)
+  conflicts=(python-pytorch)
+  provides=(python-pytorch)
+
+  cd "${srcdir}/${_pkgname}-${pkgver}-rocm"
+  _package
+}
+
+package_python-pytorch-opt-rocm() {
+  pkgdesc="Tensors and Dynamic neural networks in Python with strong GPU acceleration (with ROCM and CPU optimizations)"
+  depends+=(rocm cudnn magma)
+  conflicts=(python-pytorch)
+  provides=(python-pytorch python-pytorch-rocm)
+
+  cd "${srcdir}/${_pkgname}-${pkgver}-opt-rocm"
+  _package
+}
+
+# vim:set ts=2 sw=2 et: