commit: e74afa2c5f42fbc0ff31574a7796c7ee39727e9f Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org> AuthorDate: Thu Apr 4 09:19:35 2024 +0000 Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org> CommitDate: Thu Apr 4 09:20:03 2024 +0000 URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=e74afa2c
sci-libs/caffe2: add 2.2.2 Closes: https://bugs.gentoo.org/928339 Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org> sci-libs/caffe2/Manifest | 1 + sci-libs/caffe2/caffe2-2.2.2.ebuild | 269 ++++++++++++++++++++++++++++++++++++ 2 files changed, 270 insertions(+) diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest index 09e1f64fbe4c..e51168eba07c 100644 --- a/sci-libs/caffe2/Manifest +++ b/sci-libs/caffe2/Manifest @@ -1,2 +1,3 @@ DIST pytorch-2.1.2.tar.gz 116316469 BLAKE2B c5a55ee264bc3477d3556ba6376b5591117e992e56e0dd0c9ba93d12526e2727f7840f6f1e0730a38223b6492c9556840c4ebf22ffd220e97225c2abff303747 SHA512 a8961d78ad785b13c959a0612563a60e0de17a7c8bb9822ddea9a24072796354d07e81c47b6cc8761b21a6448845b088cf80e1661d9e889b0ed5474d3dc76756 DIST pytorch-2.2.1.tar.gz 116370903 BLAKE2B 7d08e80f91bad76fba1751c30a34bebfe7145058b7758c0d47112702263a80666f70687a8860744725c6aa995e854f766a5bfa4644c23e5635e7e08c8d63a6e9 SHA512 f19ebcf59d183c3348946ba7cfcab2bc4ca93785863b8edc39dba5772083a7b0425ccb4f92a8df4dc0d18246c75e8ff812993161467fbf9dc48d7fb28a1e26f1 +DIST pytorch-2.2.2.tar.gz 116367503 BLAKE2B 0be22f2ec4b9aac6f5e976664cae01facf07929a32565cd57d7cc5b2d9888e9ae71ca301853752fe8f31d174d04c9974eb9ed2f3d452360a50ccf024f200726a SHA512 7990e0f9484038c3458c0bda2c863bf2b19e56edab81fc5938c6e0f08b17558287f853bb67350e8cca8f42bec0f1d4ba0e94e50a145db8da44bdd4bd703d91d0 diff --git a/sci-libs/caffe2/caffe2-2.2.2.ebuild b/sci-libs/caffe2/caffe2-2.2.2.ebuild new file mode 100644 index 000000000000..fc0b264a9f32 --- /dev/null +++ b/sci-libs/caffe2/caffe2-2.2.2.ebuild @@ -0,0 +1,269 @@ +# Copyright 2022-2024 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=8 + +PYTHON_COMPAT=( python3_{10..12} ) +ROCM_VERSION=5.7 +inherit python-single-r1 cmake cuda flag-o-matic prefix rocm + +MYPN=pytorch +MYP=${MYPN}-${PV} + +DESCRIPTION="A deep learning framework" +HOMEPAGE="https://pytorch.org/"; +SRC_URI="https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz + -> ${MYP}.tar.gz" + +LICENSE="BSD" +SLOT="0" +KEYWORDS="~amd64" +IUSE="cuda distributed fbgemm ffmpeg gloo mkl mpi nnpack +numpy onednn openblas opencl opencv openmp qnnpack rocm xnnpack" +RESTRICT="test" +REQUIRED_USE=" + ${PYTHON_REQUIRED_USE} + ffmpeg? ( opencv ) + mpi? ( distributed ) + gloo? ( distributed ) + ?? ( cuda rocm ) + rocm? ( || ( ${ROCM_REQUIRED_USE} ) ) +" + +# CUDA 12 not supported yet: https://github.com/pytorch/pytorch/issues/91122 +RDEPEND=" + ${PYTHON_DEPS} + dev-cpp/gflags:= + >=dev-cpp/glog-0.5.0 + dev-libs/cpuinfo + dev-libs/libfmt + dev-libs/protobuf:= + dev-libs/pthreadpool + dev-libs/sleef + virtual/lapack + >=sci-libs/onnx-1.12.0 + <sci-libs/onnx-1.15.0 + sci-libs/foxi + cuda? ( + =dev-libs/cudnn-8* + >=dev-libs/cudnn-frontend-0.9.2:0/8 + <dev-util/nvidia-cuda-toolkit-12.4.0:=[profiler] + ) + fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 ) + ffmpeg? ( media-video/ffmpeg:= ) + gloo? ( sci-libs/gloo[cuda?] ) + mpi? ( virtual/mpi ) + nnpack? ( sci-libs/NNPACK ) + numpy? ( $(python_gen_cond_dep ' + dev-python/numpy[${PYTHON_USEDEP}] + ') ) + onednn? ( dev-libs/oneDNN ) + opencl? ( virtual/opencl ) + opencv? ( media-libs/opencv:= ) + qnnpack? ( sci-libs/QNNPACK ) + rocm? ( + >=dev-util/hip-5.7 + >=dev-libs/rccl-5.7[${ROCM_USEDEP}] + >=sci-libs/rocThrust-5.7[${ROCM_USEDEP}] + >=sci-libs/rocPRIM-5.7[${ROCM_USEDEP}] + >=sci-libs/hipBLAS-5.7[${ROCM_USEDEP}] + >=sci-libs/hipFFT-5.7[${ROCM_USEDEP}] + >=sci-libs/hipSPARSE-5.7[${ROCM_USEDEP}] + >=sci-libs/hipRAND-5.7[${ROCM_USEDEP}] + >=sci-libs/hipCUB-5.7[${ROCM_USEDEP}] + >=sci-libs/hipSOLVER-5.7[${ROCM_USEDEP}] + >=sci-libs/miopen-5.7[${ROCM_USEDEP}] + >=dev-util/roctracer-5.7[${ROCM_USEDEP}] + ) + distributed? ( sci-libs/tensorpipe[cuda?] ) + xnnpack? ( >=sci-libs/XNNPACK-2022.12.22 ) + mkl? ( sci-libs/mkl ) + openblas? ( sci-libs/openblas ) +" +DEPEND=" + ${RDEPEND} + cuda? ( >=dev-libs/cutlass-3.1.0 ) + onednn? ( sci-libs/ideep ) + dev-libs/psimd + dev-libs/FP16 + dev-libs/FXdiv + dev-libs/pocketfft + dev-libs/flatbuffers + >=sci-libs/kineto-0.4.0_p20231031 + $(python_gen_cond_dep ' + dev-python/pyyaml[${PYTHON_USEDEP}] + dev-python/pybind11[${PYTHON_USEDEP}] + ') +" + +PATCHES=( + "${FILESDIR}"/${PN}-2.2.1-gentoo.patch + "${FILESDIR}"/${PN}-1.13.0-install-dirs.patch + "${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch + "${FILESDIR}"/${PN}-1.13.1-tensorpipe.patch + "${FILESDIR}"/${PN}-2.0.0-gcc13.patch + "${FILESDIR}"/${PN}-2.0.0-cudnn_include_fix.patch + "${FILESDIR}"/${PN}-2.1.2-fix-rpath.patch + "${FILESDIR}"/${PN}-2.1.2-fix-openmp-link.patch + "${FILESDIR}"/${PN}-2.1.2-rocm-fix-std-cpp17.patch +) + +S="${WORKDIR}"/${MYP} + +src_prepare() { + filter-lto #bug 862672 + sed -i \ + -e "/third_party\/gloo/d" \ + cmake/Dependencies.cmake \ + || die + cmake_src_prepare + pushd torch/csrc/jit/serialization || die + flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die + popd + # prefixify the hardcoded paths, after all patches are applied + hprefixify \ + aten/CMakeLists.txt \ + caffe2/CMakeLists.txt \ + cmake/Metal.cmake \ + cmake/Modules/*.cmake \ + cmake/Modules_CUDA_fix/FindCUDNN.cmake \ + cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake \ + cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake \ + cmake/public/LoadHIP.cmake \ + cmake/public/cuda.cmake \ + cmake/Dependencies.cmake \ + torch/CMakeLists.txt \ + CMakeLists.txt + + if use rocm; then + sed -e "s:/opt/rocm:/usr:" \ + -e "s:lib/cmake:$(get_libdir)/cmake:g" \ + -e "s/HIP 1.0/HIP 1.0 REQUIRED/" \ + -i cmake/public/LoadHIP.cmake || die + + ebegin "HIPifying cuda sources" + ${EPYTHON} tools/amd_build/build_amd.py || die + eend $? + fi +} + +src_configure() { + if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then + ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0." + ewarn "These may not be optimal for your GPU." + ewarn "" + ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU," + ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2." + ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5 3.5" + ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell" + ewarn "" + ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"; + ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" + fi + + local mycmakeargs=( + -DBUILD_CUSTOM_PROTOBUF=OFF + -DBUILD_SHARED_LIBS=ON + + -DUSE_CCACHE=OFF + -DUSE_CUDA=$(usex cuda) + -DUSE_DISTRIBUTED=$(usex distributed) + -DUSE_MPI=$(usex mpi) + -DUSE_FAKELOWP=OFF + -DUSE_FBGEMM=$(usex fbgemm) + -DUSE_FFMPEG=$(usex ffmpeg) + -DUSE_GFLAGS=ON + -DUSE_GLOG=ON + -DUSE_GLOO=$(usex gloo) + -DUSE_KINETO=OFF # TODO + -DUSE_LEVELDB=OFF + -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma + -DUSE_MKLDNN=$(usex onednn) + -DUSE_NNPACK=$(usex nnpack) + -DUSE_QNNPACK=$(usex qnnpack) + -DUSE_XNNPACK=$(usex xnnpack) + -DUSE_SYSTEM_XNNPACK=$(usex xnnpack) + -DUSE_TENSORPIPE=$(usex distributed) + -DUSE_PYTORCH_QNNPACK=OFF + -DUSE_NUMPY=$(usex numpy) + -DUSE_OPENCL=$(usex opencl) + -DUSE_OPENCV=$(usex opencv) + -DUSE_OPENMP=$(usex openmp) + -DUSE_ROCM=$(usex rocm) + -DUSE_SYSTEM_CPUINFO=ON + -DUSE_SYSTEM_PYBIND11=ON + -DUSE_UCC=OFF + -DUSE_VALGRIND=OFF + -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}" + -DPYTHON_EXECUTABLE="${PYTHON}" + -DUSE_ITT=OFF + -DUSE_SYSTEM_PTHREADPOOL=ON + -DUSE_SYSTEM_FXDIV=ON + -DUSE_SYSTEM_FP16=ON + -DUSE_SYSTEM_GLOO=ON + -DUSE_SYSTEM_ONNX=ON + -DUSE_SYSTEM_SLEEF=ON + -DUSE_METAL=OFF + + -Wno-dev + -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir) + -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir) + ) + + if use mkl; then + mycmakeargs+=(-DBLAS=MKL) + elif use openblas; then + mycmakeargs+=(-DBLAS=OpenBLAS) + else + mycmakeargs+=(-DBLAS=Generic -DBLAS_LIBRARIES=) + fi + + if use cuda; then + addpredict "/dev/nvidiactl" # bug 867706 + addpredict "/dev/char" + addpredict "/proc/self/task" # bug 926116 + + mycmakeargs+=( + -DUSE_CUDNN=ON + -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}" + -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library + -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")" + ) + elif use rocm; then + export PYTORCH_ROCM_ARCH="$(get_amdgpu_flags)" + + mycmakeargs+=( + -DUSE_NCCL=ON + -DUSE_SYSTEM_NCCL=ON + ) + fi + + if use onednn; then + mycmakeargs+=( + -DUSE_MKLDNN=ON + -DMKLDNN_FOUND=ON + -DMKLDNN_LIBRARIES=dnnl + -DMKLDNN_INCLUDE_DIR="${ESYSROOT}/usr/include/oneapi/dnnl" + ) + fi + + cmake_src_configure + + # do not rerun cmake and the build process in src_install + sed '/RERUN/,+1d' -i "${BUILD_DIR}"/build.ninja || die +} + +src_install() { + cmake_src_install + + insinto "/var/lib/${PN}" + doins "${BUILD_DIR}"/CMakeCache.txt + + rm -rf python + mkdir -p python/torch/include || die + mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die + cp torch/version.py python/torch/ || die + python_domodule python/caffe2 + python_domodule python/torch + ln -s ../../../../../include/torch \ + "${D}$(python_get_sitedir)"/torch/include/torch || die # bug 923269 +}
