commit: 060541e234fe016898d27600efefc8c93f184cda
Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
AuthorDate: Sun May 14 07:58:04 2023 +0000
Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
CommitDate: Sun May 14 07:58:52 2023 +0000
URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=060541e2
sci-libs/caffe2: add 2.0.1
Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org>
sci-libs/caffe2/Manifest | 1 +
sci-libs/caffe2/caffe2-2.0.1.ebuild | 196 ++++++++++++++++++++++++++++++++++++
2 files changed, 197 insertions(+)
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index 1424256938e9..0ee75499ccbe 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,2 +1,3 @@
DIST pytorch-1.13.1.tar.gz 108279745 BLAKE2B
75de03b74dfdaf8d8fb5ea743fcc0c1b0e408a714ad4160c487921220a7b1755e5fa6e587e6bbc8c9f34dd75e096d2e6dd69c80d24821835fff6c833314434d3
SHA512
f16f89d027efade11d057245cad5b69a390e88b458398310ae30de2dbff7c8fd7f1165be7b8da7ea989c81ac3f5a66c5cb9050610e441a97c83fb8aa28c0bd62
DIST pytorch-2.0.0.tar.gz 111327292 BLAKE2B
6d593a975c0ade714f0b189f7e3c4ff704b9a9a2377b5e441a9cefc202fa22779966d08948e63671912c6ea5a0eee124042155f4f57a654db34e19e42f013cc9
SHA512
4dd76160711c0d87f3026c8b7fa3ed149dd86b8ac0ee9ecea0eaf80d2e6ce8c29368392e77b9466d90b60634087b462b782495997a5d33367cc8ca9fe14c8a14
+DIST pytorch-2.0.1.tar.gz 111335778 BLAKE2B
7a10cc2b2d5e2422aef7e060a0c3a62ca5c7460c6e0b9becade9b98939501975c74ed5a175a653731f43ca824d2c9bd31f41d1f633c2b139779ab23d5331e9ce
SHA512
2309a22b3be3ccdb36d8d9781a59a7bdcc2fdb8d95ada205702ec77862480f0cbb12cd5d6b8cd3114d01a6e33b7743d0fe9de93debf37138ca5c14403cdb0c43
diff --git a/sci-libs/caffe2/caffe2-2.0.1.ebuild
b/sci-libs/caffe2/caffe2-2.0.1.ebuild
new file mode 100644
index 000000000000..558e1671f543
--- /dev/null
+++ b/sci-libs/caffe2/caffe2-2.0.1.ebuild
@@ -0,0 +1,196 @@
+# Copyright 2022-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+PYTHON_COMPAT=( python3_{9..11} )
+inherit python-single-r1 cmake cuda flag-o-matic
+
+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 mpi nnpack +numpy opencl opencv
openmp qnnpack tensorpipe xnnpack"
+RESTRICT="test"
+REQUIRED_USE="
+ ${PYTHON_REQUIRED_USE}
+ ffmpeg? ( opencv )
+ mpi? ( distributed )
+ tensorpipe? ( distributed )
+ distributed? ( tensorpipe )
+ gloo? ( distributed )
+" # ?? ( cuda rocm )
+
+# 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
+ sci-libs/lapack
+ >=sci-libs/onnx-1.12.0
+ sci-libs/foxi
+ cuda? (
+ =dev-libs/cudnn-8*
+ dev-libs/cudnn-frontend:0/8
+ <dev-util/nvidia-cuda-toolkit-12:=[profiler]
+ )
+ fbgemm? ( dev-libs/FBGEMM )
+ ffmpeg? ( media-video/ffmpeg:= )
+ gloo? ( sci-libs/gloo[cuda?] )
+ mpi? ( sys-cluster/openmpi )
+ nnpack? ( sci-libs/NNPACK )
+ numpy? ( $(python_gen_cond_dep '
+ dev-python/numpy[${PYTHON_USEDEP}]
+ ') )
+ opencl? ( virtual/opencl )
+ opencv? ( media-libs/opencv:= )
+ qnnpack? ( sci-libs/QNNPACK )
+ tensorpipe? ( sci-libs/tensorpipe )
+ xnnpack? ( >=sci-libs/XNNPACK-2022.12.22 )
+"
+DEPEND="
+ ${RDEPEND}
+ dev-cpp/eigen
+ cuda? ( dev-libs/cutlass )
+ dev-libs/psimd
+ dev-libs/FP16
+ dev-libs/FXdiv
+ dev-libs/pocketfft
+ dev-libs/flatbuffers
+ sci-libs/kineto
+ $(python_gen_cond_dep '
+ dev-python/pyyaml[${PYTHON_USEDEP}]
+ dev-python/pybind11[${PYTHON_USEDEP}]
+ ')
+"
+
+S="${WORKDIR}"/${MYP}
+
+PATCHES=(
+ "${FILESDIR}"/${PN}-2.0.0-gentoo.patch
+ "${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
+)
+
+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
+}
+
+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_CUDNN=$(usex cuda)
+ -DUSE_FAST_NVCC=$(usex cuda)
+ -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
+ -DBUILD_NVFUSER=OFF
+ -DUSE_DISTRIBUTED=$(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=OFF
+ -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library
+ -DUSE_NNPACK=$(usex nnpack)
+ -DUSE_QNNPACK=$(usex qnnpack)
+ -DUSE_XNNPACK=$(usex xnnpack)
+ -DUSE_SYSTEM_XNNPACK=$(usex xnnpack)
+ -DUSE_TENSORPIPE=$(usex tensorpipe)
+ -DUSE_PYTORCH_QNNPACK=OFF
+ -DUSE_NUMPY=$(usex numpy)
+ -DUSE_OPENCL=$(usex opencl)
+ -DUSE_OPENCV=$(usex opencv)
+ -DUSE_OPENMP=$(usex openmp)
+ -DUSE_ROCM=OFF # TODO
+ -DUSE_SYSTEM_CPUINFO=ON
+ -DUSE_SYSTEM_PYBIND11=ON
+ -DUSE_UCC=OFF
+ -DUSE_VALGRIND=OFF
+ -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}"
+ -DPYTHON_EXECUTABLE="${PYTHON}"
+ -DUSE_ITT=OFF
+ -DBLAS=Eigen # avoid the use of MKL, if found on the system
+ -DUSE_SYSTEM_EIGEN_INSTALL=ON
+ -DUSE_SYSTEM_PTHREADPOOL=ON
+ -DUSE_SYSTEM_FXDIV=ON
+ -DUSE_SYSTEM_FP16=ON
+ -DUSE_SYSTEM_GLOO=ON
+ -DUSE_SYSTEM_ONNX=ON
+ -DUSE_SYSTEM_SLEEF=ON
+
+ -Wno-dev
+ -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir)
+ -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir)
+ )
+
+ if use cuda; then
+ addpredict "/dev/nvidiactl" # bug 867706
+ addpredict "/dev/char"
+
+ mycmakeargs+=(
+ -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")"
+ )
+ fi
+ cmake_src_configure
+}
+
+src_install() {
+ cmake_src_install
+
+ insinto "/var/lib/${PN}"
+ doins "${BUILD_DIR}"/CMakeCache.txt
+
+ rm -rf python
+ mkdir -p python/torch/include || die
+ mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die
+ mv "${ED}"/usr/include/torch python/torch/include || die
+ cp torch/version.py python/torch/ || die
+ rm -rf "${ED}"/var/tmp || die
+ python_domodule python/caffe2
+ python_domodule python/torch
+}
