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authorAlfredo Tupone <tupone@gentoo.org>2024-06-06 21:06:05 +0200
committerAlfredo Tupone <tupone@gentoo.org>2024-06-06 21:07:00 +0200
commit2fa3ad65f0c827f1a91ed2557d91fd938362581f (patch)
tree1c5fd10116685ef25254f5ccf850ce67b396d494 /sci-libs
parentapp-editors/nano: Stabilize 8.0 x86, #933698 (diff)
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sci-libs/caffe2: add 2.3.1
Signed-off-by: Alfredo Tupone <tupone@gentoo.org>
Diffstat (limited to 'sci-libs')
-rw-r--r--sci-libs/caffe2/Manifest1
-rw-r--r--sci-libs/caffe2/caffe2-2.3.1.ebuild274
2 files changed, 275 insertions, 0 deletions
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index d70fba8fc67b..246ab4d21a1a 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,2 +1,3 @@
DIST pytorch-2.2.2.tar.gz 116367503 BLAKE2B 0be22f2ec4b9aac6f5e976664cae01facf07929a32565cd57d7cc5b2d9888e9ae71ca301853752fe8f31d174d04c9974eb9ed2f3d452360a50ccf024f200726a SHA512 7990e0f9484038c3458c0bda2c863bf2b19e56edab81fc5938c6e0f08b17558287f853bb67350e8cca8f42bec0f1d4ba0e94e50a145db8da44bdd4bd703d91d0
DIST pytorch-2.3.0.tar.gz 117029829 BLAKE2B 8f9c0d71ee0a9219b495eddccdcc65107f7ad537c43c68100b229f3d27b0e6c01ccb1659c7fffc356a48d80f2adc0a10361305dc8f1df20446de837d380f89f6 SHA512 67f7e9a096c3ffb952206ebf9105bedebb68c24ad82456083adf1d1d210437fcaa9dd52b68484cfc97d408c9eebc9541c76868c34a7c9982494dc3f424cfb07c
+DIST pytorch-2.3.1.tar.gz 117035696 BLAKE2B d419d7fa1342f1fb317ffce09ec9dc1447414627cc83d36578fe60f68c283c620b2b4d49f414cd206d537b90b16432a06cd1941662720db05d5e2b6c493325f5 SHA512 e1bcae44f9939fc7ccb1360a9b1970d92426f25e5de73e36964df3dd15ad5d8d9f5bd2f9a7dda6b8f64e2bba3674005bd869f542489cc442ad0125a02676f587
diff --git a/sci-libs/caffe2/caffe2-2.3.1.ebuild b/sci-libs/caffe2/caffe2-2.3.1.ebuild
new file mode 100644
index 000000000000..c01e904d8eb0
--- /dev/null
+++ b/sci-libs/caffe2/caffe2-2.3.1.ebuild
@@ -0,0 +1,274 @@
+# 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
+ -> ${MYP}.tar.gz"
+
+S="${WORKDIR}"/${MYP}
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64"
+IUSE="cuda distributed fbgemm ffmpeg flash 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} )
+ !flash
+ )
+"
+
+# 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
+ sci-libs/foxi
+ cuda? (
+ dev-libs/cudnn
+ >=dev-libs/cudnn-frontend-1.0.3:0/8
+ <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-3.4.1 )
+ 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[${PYTHON_USEDEP}]
+ dev-python/typing-extensions[${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
+ "${FILESDIR}"/${P}-cudnn_include_fix.patch
+ "${FILESDIR}"/${PN}-2.1.2-fix-rpath.patch
+ "${FILESDIR}"/${PN}-2.1.2-fix-openmp-link.patch
+ "${FILESDIR}"/${P}-rocm-fix-std-cpp17.patch
+ "${FILESDIR}"/${PN}-2.2.2-musl.patch
+ "${FILESDIR}"/${P}-CMakeFix.patch
+)
+
+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_FLASH_ATTENTION=$(usex flash)
+ -DUSE_GFLAGS=ON
+ -DUSE_GLOG=ON
+ -DUSE_GLOO=$(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
+}