commit: dff61040dd6fbe0cd0c5635ade0e62c5faa52716
Author: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
AuthorDate: Wed Jan 3 18:23:02 2024 +0000
Commit: Alfredo Tupone <tupone <AT> gentoo <DOT> org>
CommitDate: Wed Jan 3 18:23:19 2024 +0000
URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=dff61040
sci-libs/caffe2: drop 2.0.0-r5, 2.1.1-r6
Signed-off-by: Alfredo Tupone <tupone <AT> gentoo.org>
sci-libs/caffe2/Manifest | 2 -
sci-libs/caffe2/caffe2-2.0.0-r5.ebuild | 198 -----------------------------
sci-libs/caffe2/caffe2-2.1.1-r6.ebuild | 220 ---------------------------------
3 files changed, 420 deletions(-)
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index 2fc8f8663e91..a05e285f98e0 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -1,5 +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
-DIST pytorch-2.1.1.tar.gz 116317162 BLAKE2B
d9819256cba0b9951aabe95d86fb135e97d8bafa2c010d13162cd9b3373ca75f20d218e31279ace41981f3f76308721c522f9e53745a1ff9e6386fa10634f9ad
SHA512
31b36e7732ee086ae7565a3811ab2d1b2869e79057bea7a4ffc4a3c95c544757e656a6d2289ee11fe7508828aca144e4220ef1e9ab1878e075e1259cf6ff9ca4
DIST pytorch-2.1.2.tar.gz 116316469 BLAKE2B
c5a55ee264bc3477d3556ba6376b5591117e992e56e0dd0c9ba93d12526e2727f7840f6f1e0730a38223b6492c9556840c4ebf22ffd220e97225c2abff303747
SHA512
a8961d78ad785b13c959a0612563a60e0de17a7c8bb9822ddea9a24072796354d07e81c47b6cc8761b21a6448845b088cf80e1661d9e889b0ed5474d3dc76756
diff --git a/sci-libs/caffe2/caffe2-2.0.0-r5.ebuild
b/sci-libs/caffe2/caffe2-2.0.0-r5.ebuild
deleted file mode 100644
index 425446a8564d..000000000000
--- a/sci-libs/caffe2/caffe2-2.0.0-r5.ebuild
+++ /dev/null
@@ -1,198 +0,0 @@
-# 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 )
- 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/onnx-1.15.0
- 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}"/${P}-gentoo.patch
- "${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}"/${P}-gcc13.patch
- "${FILESDIR}"/${P}-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="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
- -DBUILD_NVFUSER=$(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=$(usex gloo)
- -DUSE_KINETO=OFF # TODO
- -DUSE_LEVELDB=OFF
- -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
- -DUSE_MKLDNN=OFF
- -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library
- -DUSE_NNPACK=$(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="$(cuda_gccdir -f | tr -d \")"
- )
- fi
- cmake_src_configure
-}
-
-src_install() {
- cmake_src_install
-
- use cuda && dolib.so "${BUILD_DIR}"/lib/libnvfuser_codegen.so
-
- 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 "${ED}"/var/tmp || die
- python_domodule python/caffe2
- python_domodule python/torch
-}
diff --git a/sci-libs/caffe2/caffe2-2.1.1-r6.ebuild
b/sci-libs/caffe2/caffe2-2.1.1-r6.ebuild
deleted file mode 100644
index 04833ed73bbc..000000000000
--- a/sci-libs/caffe2/caffe2-2.1.1-r6.ebuild
+++ /dev/null
@@ -1,220 +0,0 @@
-# Copyright 2022-2023 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{9..11} )
-inherit python-single-r1 cmake cuda flag-o-matic prefix
-
-MYPN=pytorch
-MYP=${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/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:=[profiler]
- )
- fbgemm? ( >=dev-libs/FBGEMM-2023.11.02 )
- 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}]
- ') )
- opencl? ( virtual/opencl )
- opencv? ( media-libs/opencv:= )
- qnnpack? ( sci-libs/QNNPACK )
- tensorpipe? ( sci-libs/tensorpipe[cuda?] )
- xnnpack? ( >=sci-libs/XNNPACK-2022.12.22 )
-"
-DEPEND="
- ${RDEPEND}
- dev-cpp/eigen
- cuda? ( >=dev-libs/cutlass-3.1.0 )
- 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[${PYTHON_USEDEP}]
- ')
-"
-
-S="${WORKDIR}"/${MYP}
-
-PATCHES=(
- "${FILESDIR}"/${P}-gentoo.patch
- "${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}"/${P}-cudaExtra.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
-}
-
-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=$(usex cuda)
- -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}"
- -DBUILD_NVFUSER=$(usex cuda)
- -DUSE_DISTRIBUTED=$(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=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
- if use cuda; then
- mv "${ED}${S}"/nvfuser python/nvfuser || die
- mv "${ED}"/usr/$(get_libdir)/nvfuser.so python/nvfuser/_C.so ||
die
- fi
- rm -rf "${ED}${S}"/test
- rm -rf "${ED}${S}"/third_party
- cp torch/version.py python/torch/ || die
- python_domodule python/caffe2
- python_domodule python/torch
- if use cuda; then
- python_domodule python/nvfuser
- fi
- find "${ED}" -empty -delete
-}
