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-rw-r--r--sci-libs/Manifest.gzbin45143 -> 45143 bytes
-rw-r--r--sci-libs/caffe2/Manifest4
-rw-r--r--sci-libs/caffe2/caffe2-2.0.0-r5.ebuild198
-rw-r--r--sci-libs/caffe2/caffe2-2.1.1-r6.ebuild220
-rw-r--r--sci-libs/pytorch/Manifest4
-rw-r--r--sci-libs/pytorch/pytorch-2.0.0.ebuild64
-rw-r--r--sci-libs/pytorch/pytorch-2.1.1-r1.ebuild66
-rw-r--r--sci-libs/scikit-learn/Manifest2
-rw-r--r--sci-libs/scikit-learn/scikit-learn-1.1.2.ebuild4
9 files changed, 3 insertions, 559 deletions
diff --git a/sci-libs/Manifest.gz b/sci-libs/Manifest.gz
index 4c8f25aa311b..404354f3ea97 100644
--- a/sci-libs/Manifest.gz
+++ b/sci-libs/Manifest.gz
Binary files differ
diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest
index ec3737780b09..f2f690d1f4c9 100644
--- a/sci-libs/caffe2/Manifest
+++ b/sci-libs/caffe2/Manifest
@@ -12,13 +12,9 @@ AUX caffe2-2.1.1-gentoo.patch 6329 BLAKE2B c002f1605888ac79bed292cf1967eedd4d177
AUX caffe2-2.1.2-fix-openmp-link.patch 483 BLAKE2B dfe9ae0978b71449486d12f769c3c962001c138bc53b0605ed6f2215fe732356da90c5084488bc4d9f54c88aab2a426b8c935543f7ba0890783bb58da30a5cb4 SHA512 a9cee8ae2a8477a21e92bd4ef286af68efd90283593db7ed4641a826b19b4266bcab9c131c93be2b6c2f13d5cd545c766612791cf2e23cff9a731a03f3ad7648
AUX caffe2-2.1.2-fix-rpath.patch 510 BLAKE2B 6585e8089acc6e7fe69713ad04a64263ab2e9d2d5cf6d3a844dbbc917383e4b7a0688ebdfb3142e3c42108c8c14a6435f48ae4ce3adee8db338286d60ed7b503 SHA512 ede770559b487fff736aded0cf4b077d8308c2b85c5cd139150b04bcb8b72a0d78af6a2b74fbb153b75acff71df0832d8f139231d1c18558f5b5479af348e6a0
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
EBUILD caffe2-1.13.1-r6.ebuild 5244 BLAKE2B d7f5f16e1f1122604a6df64f16c62552fb8b4b0de67bd231036b4835a5a71c58da02f0e1df64f3bd22c2a282a150d7f5a803c87cdf792e3e97ec8f518e055191 SHA512 58b1a09e5e3814d9475d4fe0e46aa837477843e09ed1b0c803c2ac3190e5c819d4216e33e3003652194e90a9f3f35146657eb25f30a4419bf16b2067e5a4b027
-EBUILD caffe2-2.0.0-r5.ebuild 5388 BLAKE2B 8eb29fe5c3abd1ca98c70c583adf10d8872c5cff0535ddc1fa230b4a4c0f71124be65934d498d421598e3723d1622bc1f6b36180bf010b8317a9151b9c026951 SHA512 3c1b194b1e8b010d55f3a046c7af3142c59bcf8cf54364df973564412c1f59aa195a989cdea613860cb6f726b35fac243fbde18fb62b20a930fc40d316dcfde1
EBUILD caffe2-2.0.1-r5.ebuild 5868 BLAKE2B c17450d01ff68d42188c9da9e9c7a6d6469fe5c8b72c91e4ea4456eb4fe9d08cf30619fbb06f3dae21add641329f3ce8ced24bca93eb05900340639c042a1cdb SHA512 d32fa4c194c51efb76b143f22f783efa7a1415902b03ddea1d3f145d632455ebfe672a1b05b1203f2ba752f3331831455ae631a66bb409f45d6c695c68f39c3b
-EBUILD caffe2-2.1.1-r6.ebuild 6155 BLAKE2B 42e2a369c3a0a3534689bd97cc52ce045d7f21f45cd6b20e7bfd9f50366203ced57f9d5622c8ccb178b3832482936fd841b463369cba2122205156a012fa8b37 SHA512 e5379515e040e0d5c46d3e84e6ae25fc06dee18b6196a1fd7b0198cd66e2f9cc9827fa6672f06c990527622323e30f6e208b344a981310a11d11880f0b50bd07
EBUILD caffe2-2.1.2-r1.ebuild 6303 BLAKE2B 74901eccd81f93664f2bf04cf565684533b2302289c404e054d673ffa74bd9c9e27b860596909f0e151ce0f031b7ecad895822add0adb2e0595110127ad621f4 SHA512 dda0ee5e67ccd63677239076141644a66466070f3cfe5d011ffa9197903d80926d68227634808bbfbd107e98f82880f332085a9028e7c4bca5e782cbbeeafb91
MISC metadata.xml 1158 BLAKE2B f1a95314a6d013d6cd2209dc73daa571ff82510bb4ccbd7b74d888d5ceb7ea4c6531dd11d9b5c582282fb3d47cd018b32b008d9e6edfa29069985edc548382af SHA512 9a500343117e1fc9306505e9a3ec241199553baa226cf5025f641e13a811a7b09f5a77c388231d6ab89c02d9c87d1c5a01b6aa71a586e854f73a92b3261ad341
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
-}
diff --git a/sci-libs/pytorch/Manifest b/sci-libs/pytorch/Manifest
index 8ac7a523e960..a597c1498ce0 100644
--- a/sci-libs/pytorch/Manifest
+++ b/sci-libs/pytorch/Manifest
@@ -9,13 +9,9 @@ AUX pytorch-2.0.0-global-dlopen.patch 834 BLAKE2B da3ddd29124ab345e50acd4b42cb31
AUX pytorch-2.1.1-dontbuildagain.patch 443 BLAKE2B 67cc940ae5be4d3a0a5ef6670a72de4f3419582b59bb7e905d4ee704c928c353f1ef03a446ac97f0718d24e5a88fc656c8e58e26f869c6eeef5d21b918308f36 SHA512 4acf9dfca8e998a5ec1f6eebb7ffd5833f065dd995ef735c50ce34fb2553bbacc974c13eeaf07962d00de0f795fd4366a1866d1bb834ed93098217400db9dc6c
AUX pytorch-2.1.1-emptyso.patch 527 BLAKE2B 104352b254b1f6a2e7b842265f9796d93c7fb23d4681961aad53ebcea8a7068a2ea9799d466555fa00db52db0136cb74d87853835e25f678c5ba641f8a76b8a0 SHA512 35aae74a0c95e9967909756af5c486e4c3555536016c2d4a37b9048e503c70f490cbf75c1d7814adcbbfeb3ba08a1e8ffac5507d8c964b28c0452f6eab03ca5b
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
EBUILD pytorch-1.13.1-r2.ebuild 1512 BLAKE2B a83a2846755b3ad3dc62329f77b04e73be1f5a79a3c3e2311a61c0965c50a17a83deac89c22ce26470be415c0c48a760f1b74c207e6864a16aead25e42896867 SHA512 55a6ed013855c4d20fad0bb213e51b2881d0b7c3e456055800b16658f92460d998294148d041dba642a11be1a60d5d830edf8613cc09cdf9ce6eef7ecc809976
-EBUILD pytorch-2.0.0.ebuild 1549 BLAKE2B f347c1bb89ff80f4cec2f6d5ca27134c3936f02d80a285d2df88c7472e62dcdb025f72d7f88820bbda2422dd0810db2b53017fc91fdedd2cbb5a1880f79d0d74 SHA512 19e390bcb88b81d5eda1f143bcadce730e2c02776dbcad4327f36b0b61beb2932973ee6352bddd27da2fd030a8626fb6687abccff0cb503d159019006264f7d3
EBUILD pytorch-2.0.1-r1.ebuild 1640 BLAKE2B f29660c3bf423ba697862d9ccc3bf3ac0f958d4fbc5c4dbeac0860ad5cf8e0c0675def1cd9eb4c0d26a7485baa33481f36a2e2da73d89c00a98cad595fabf8e0 SHA512 21325abae79b7c816822b5605c050d4c05be5b0303ffbbf6497907c5ff6f0c9321d30e9857d008e08697169823e31c297273d5ea31c759fa3f144242d37300ca
-EBUILD pytorch-2.1.1-r1.ebuild 1601 BLAKE2B 6db0316997e3fcc42c64c9868a1003aaf3c14b3bfafb51cabcaa158c2d2af7a9931a4b528c156717af59d85251b1eaccf9cf16b4586782b0515ff8be69c3411c SHA512 b9063ce8fe645ff7574cda010566ab48703a4c760c9fbb10025d85792973911d31779f12449a2c1b0df4fc343baf43438050b7562527cb67bcc4b68938950e23
EBUILD pytorch-2.1.2.ebuild 1615 BLAKE2B 1737434cc500f1b36b3cd23b367af60a16a439ce6a7d67bc66c78dbca13fe952626a7c057b8a5401fde425a72aec902456b7e3dfd287d586ac8a548214303802 SHA512 08c2ab5f1cc9a86117e6edc034420bbe08c1750127d352f0ad5334389efc054eff55c6edc6ab303750246f9f4e67355adfa7f16c828a25490b1a2ca312531625
MISC metadata.xml 328 BLAKE2B f49c6d62ac88dfffe497ed05b1f727941a94acb87a809611dda8aedbd87508fdfdf94ec0e025cac2a649b0881b600236289943b4be0f6ca44fc105b6d8fbe97c SHA512 16c29d2c1177a89026235191ea3e33870c2e6b63f029b7febd4dbd2e99f598fab4b4fd2fa7a801ffd88393663a00752300e6e2cc847a83690b715bcc481d9dc2
diff --git a/sci-libs/pytorch/pytorch-2.0.0.ebuild b/sci-libs/pytorch/pytorch-2.0.0.ebuild
deleted file mode 100644
index 506f1889b280..000000000000
--- a/sci-libs/pytorch/pytorch-2.0.0.ebuild
+++ /dev/null
@@ -1,64 +0,0 @@
-# Copyright 2022-2023 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-DISTUTILS_USE_PEP517=setuptools
-PYTHON_COMPAT=( python3_{9..11} )
-DISTUTILS_SINGLE_IMPL=1
-inherit distutils-r1
-
-DESCRIPTION="Tensors and Dynamic neural networks in Python"
-HOMEPAGE="https://pytorch.org/"
-SRC_URI="https://github.com/pytorch/${PN}/archive/refs/tags/v${PV}.tar.gz
- -> ${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64"
-RESTRICT="test"
-
-REQUIRED_USE=${PYTHON_REQUIRED_USE}
-RDEPEND="
- ${PYTHON_DEPS}
- ~sci-libs/caffe2-${PV}[${PYTHON_SINGLE_USEDEP}]
- $(python_gen_cond_dep '
- dev-python/typing-extensions[${PYTHON_USEDEP}]
- dev-python/sympy[${PYTHON_USEDEP}]
- ')
-"
-DEPEND="${RDEPEND}
- $(python_gen_cond_dep '
- dev-python/pyyaml[${PYTHON_USEDEP}]
- ')
-"
-
-src_prepare() {
- eapply \
- "${FILESDIR}"/0002-Don-t-build-libtorch-again-for-PyTorch-1.7.1.patch \
- "${FILESDIR}"/pytorch-1.9.0-Change-library-directory-according-to-CMake-build.patch \
- "${FILESDIR}"/${P}-global-dlopen.patch \
- "${FILESDIR}"/pytorch-1.7.1-torch_shm_manager.patch \
- "${FILESDIR}"/${PN}-1.13.0-setup.patch \
- "${FILESDIR}"/${P}-emptyso.patch \
-
- # Set build dir for pytorch's setup
- sed -i \
- -e "/BUILD_DIR/s|build|/var/lib/caffe2/|" \
- tools/setup_helpers/env.py \
- || die
- distutils-r1_src_prepare
-}
-
-src_compile() {
- PYTORCH_BUILD_VERSION=${PV} \
- PYTORCH_BUILD_NUMBER=0 \
- USE_SYSTEM_LIBS=ON \
- CMAKE_BUILD_DIR="${BUILD_DIR}" \
- BUILD_DIR= \
- distutils-r1_src_compile
-}
-
-src_install() {
- USE_SYSTEM_LIBS=ON distutils-r1_src_install
-}
diff --git a/sci-libs/pytorch/pytorch-2.1.1-r1.ebuild b/sci-libs/pytorch/pytorch-2.1.1-r1.ebuild
deleted file mode 100644
index 6d8199663ff6..000000000000
--- a/sci-libs/pytorch/pytorch-2.1.1-r1.ebuild
+++ /dev/null
@@ -1,66 +0,0 @@
-# Copyright 2022-2023 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-DISTUTILS_USE_PEP517=setuptools
-PYTHON_COMPAT=( python3_{9..11} )
-DISTUTILS_SINGLE_IMPL=1
-DISTUTILS_EXT=1
-inherit distutils-r1 prefix
-
-DESCRIPTION="Tensors and Dynamic neural networks in Python"
-HOMEPAGE="https://pytorch.org/"
-SRC_URI="https://github.com/pytorch/${PN}/archive/refs/tags/v${PV}.tar.gz
- -> ${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64"
-RESTRICT="test"
-
-REQUIRED_USE=${PYTHON_REQUIRED_USE}
-RDEPEND="
- ${PYTHON_DEPS}
- ~sci-libs/caffe2-${PV}[${PYTHON_SINGLE_USEDEP}]
- $(python_gen_cond_dep '
- dev-python/typing-extensions[${PYTHON_USEDEP}]
- dev-python/sympy[${PYTHON_USEDEP}]
- ')
-"
-DEPEND="${RDEPEND}
- $(python_gen_cond_dep '
- dev-python/pyyaml[${PYTHON_USEDEP}]
- ')
-"
-
-src_prepare() {
- eapply \
- "${FILESDIR}"/${P}-dontbuildagain.patch \
- "${FILESDIR}"/pytorch-1.9.0-Change-library-directory-according-to-CMake-build.patch \
- "${FILESDIR}"/${PN}-2.0.0-global-dlopen.patch \
- "${FILESDIR}"/pytorch-1.7.1-torch_shm_manager.patch \
- "${FILESDIR}"/${PN}-1.13.0-setup.patch \
- "${FILESDIR}"/${P}-emptyso.patch \
-
- # Set build dir for pytorch's setup
- sed -i \
- -e "/BUILD_DIR/s|build|/var/lib/caffe2/|" \
- tools/setup_helpers/env.py \
- || die
- distutils-r1_src_prepare
-
- hprefixify tools/setup_helpers/env.py
-}
-
-python_compile() {
- PYTORCH_BUILD_VERSION=${PV} \
- PYTORCH_BUILD_NUMBER=0 \
- USE_SYSTEM_LIBS=ON \
- CMAKE_BUILD_DIR="${BUILD_DIR}" \
- distutils-r1_python_compile develop sdist
-}
-
-python_install() {
- USE_SYSTEM_LIBS=ON distutils-r1_python_install
-}
diff --git a/sci-libs/scikit-learn/Manifest b/sci-libs/scikit-learn/Manifest
index 568673dc624b..3a52b9fee5fe 100644
--- a/sci-libs/scikit-learn/Manifest
+++ b/sci-libs/scikit-learn/Manifest
@@ -1,5 +1,5 @@
DIST scikit-learn-1.1.2.gh.tar.gz 7104556 BLAKE2B e67e1deddf5a1134b57a146e8271a406cb257ffc92c9719e90f5b9d98e711b68bc67e3367660ecaad61aaec1794bb8999b4dd00b7d56e21eca8fcb2ee72cc9aa SHA512 58789c1e607d7de3339fa3b8928553ca96cef93e8da8fd13612aa78e5ebde8e6a55e3bf7845f9a45b78ed77da6a219d08d2c26318b602f937e0e3debd239293e
DIST scikit-learn-1.3.2.gh.tar.gz 7650823 BLAKE2B 170699917f46d6d3f4b9ebc314bc1ec45687dad0a4aec5d2cee6e288b5dbe508bad6dd80406501f289a33593c6482067393e9dc28155f85a4872a34523bf4199 SHA512 a3799e9b39b755a50ba225f836904a378f7d83a08274c614d0485e4d4d4a7b0c7adba2dbb6612f2ccb4e5167f872214a2853eff69d767dc70f52369bda7a230b
-EBUILD scikit-learn-1.1.2.ebuild 1629 BLAKE2B e1ee3c014014278883a44f947f01bbfaa79ff13ccdfdb846bf5de87db9ce4cf13642bcaaf131d0515a410a1cae930078557cb632e1aadd79bfce8c9e0e723dce SHA512 fa04eea3aef64d81a7bf9957aaffffb509eeb36efebbf1e7184ad91060e528710b1efce8d8b68b0f775786aab3353f95ba3e06f5825e87776ab8f75d3b03447e
+EBUILD scikit-learn-1.1.2.ebuild 1628 BLAKE2B 2663dd111fa5fb34e8b075768eb3a92bf04e140de5dd29bfd0a8b038444b849cb3e7eb1d12198c98dc281cb1b6196cac6fcb040308be247a5e186fa525db3926 SHA512 67186ceea3b7724ac65ad96f0cf48ef9d5d7e634980771a920fa8abdd7ae37768244631cc89ce6a3d18d221eba070e3923afb77670e476c0476616a68498d2c9
EBUILD scikit-learn-1.3.2-r1.ebuild 1605 BLAKE2B 42012450002f3e36a2ba04d5fe60f31bba36dbb93b4458780e206608730a512e29b17fbffcf31b8de52f4d59770e563d4ecdcc79de4fff45cb2ec9db21c829ee SHA512 203009d92dd51772c88135baeaeeadb4793835ce36c392168ce628b064eb8cf99b68c2eda72e59064b82ece6075e5ee459fef1016a9fc66a41df6e6ae0babe9c
MISC metadata.xml 614 BLAKE2B b5425c2d022592581647c9b97c0ab22bfc2afe347b2e5ea22f141245238f145322f39406c62318ba1e6af1462b2691267b39976bfde38faaf1d28b1d29c4e015 SHA512 74ac79123848bc385c29fcfdc4a1e780529dda685c1deb5eb722f5d4919ee6ac9d80798d52c4af0be0cc8dbbaea3784963dd97e2b7c1258cc2f5605b0bc8907a
diff --git a/sci-libs/scikit-learn/scikit-learn-1.1.2.ebuild b/sci-libs/scikit-learn/scikit-learn-1.1.2.ebuild
index 8ec24c955368..fae3c17885fe 100644
--- a/sci-libs/scikit-learn/scikit-learn-1.1.2.ebuild
+++ b/sci-libs/scikit-learn/scikit-learn-1.1.2.ebuild
@@ -1,4 +1,4 @@
-# Copyright 2020-2023 Gentoo Authors
+# Copyright 2020-2024 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
@@ -15,7 +15,7 @@ SRC_URI="https://github.com/scikit-learn/scikit-learn/archive/${PV}.tar.gz -> ${
LICENSE="BSD"
SLOT="0"
-KEYWORDS="amd64 ~arm64 ~ppc64 ~riscv ~x86 ~arm64-macos ~x64-macos"
+KEYWORDS="amd64 ~arm64 ppc64 ~riscv ~x86 ~arm64-macos ~x64-macos"
IUSE="examples"
# Fatal Python error: Segmentation fault
generated by cgit v1.2.3 (git 2.25.1) at 2025-01-14 20:03:27 +0000