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nvidia-apex-22.04.ebuild
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DIST nvidia-apex-22.04-gh.tar.gz 769456 BLAKE2B 9c9270e5b19afa244784f0825a2c093820aab5e64f5621ea0350da6b127d14b734fcbf16982ff889a82b624842d982c0f447146a9efddd165dd59916988ee955 SHA512 347a67640dd1903442dacc59cb7c15efe299cafc3d7afd36ae2f1fbe4b7b08d23c18a5351035f62f3b7f47023331d37485a99cc0049ef8c788f27a32146d9e64
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DIST nvidia-apex-22.12-gh.tar.gz 790427 BLAKE2B 2b53e1c2ded28d6f3de8812bd6e8ed1db35d10b3293ef53ea7df63eebe5474f2b8e8af6c5700e9f19581715cb73de893b2736944ef621f2eff37959650641784 SHA512 418c76f655d0cb1cfebc8b007b914a2b8e3d9d54efd6496911702577913f7887bc744228e3a465c13c77bcccbf7971f9f9a5a2bd217e395abb92b1fdfbc18ff2
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56
dev-python/nvidia-apex/nvidia-apex-22.04.ebuild
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56
dev-python/nvidia-apex/nvidia-apex-22.04.ebuild
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# Copyright 1999-2023 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=8
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DISTUTILS_USE_PEP517=setuptools
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PYTHON_COMPAT=( python3_{10..11} )
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#FIXME: sci-libs/pytorch is single package:
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#DISTUTILS_SINGLE_IMPL=1
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#inherit python-single-r1
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inherit distutils-r1
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#git branch
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HASH_COMMIT="${PV}-dev"
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DESCRIPTION="Tools for easy mixed precision and distributed training in Pytorch"
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HOMEPAGE="https://github.com/NVIDIA/apex"
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SRC_URI="https://github.com/NVIDIA/apex/archive/${HASH_COMMIT}.tar.gz -> ${P}-gh.tar.gz"
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LICENSE=""
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SLOT="0"
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KEYWORDS="~amd64 ~arm64 ~x86"
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#FIXME: can't use global "cuda"
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IUSE="cuda_ext"
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RDEPEND=">=dev-python/cxxfilt-0.2.0[${PYTHON_USEDEP}]
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>=dev-python/tqdm-4.28.1[${PYTHON_USEDEP}]
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>=dev-python/numpy-1.15.3[${PYTHON_USEDEP}]
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>=sci-libs/pytorch-1.12.0
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>=dev-python/pyyaml-5.1[${PYTHON_USEDEP}]
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>=dev-python/packaging-14.0[${PYTHON_USEDEP}]"
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DEPEND="${RDEPEND}"
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REQUIRED_USE="${PYTHON_REQUIRED_USE}"
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RESTRICT="test"
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S="${WORKDIR}/apex-${HASH_COMMIT}"
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#If you wish to cross-compile for a single specific architecture,
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#export TORCH_CUDA_ARCH_LIST="compute capability" before running setup.py.
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python_configure_all() {
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if use cuda_ext; then
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# export MAX_JOBS=1
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#export TORCH_CUDA_ARCH_LIST="compute capability"
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export TORCH_CUDA_ARCH_LIST="7.5"
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DISTUTILS_ARGS=( --cpp_ext --cuda_ext )
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fi
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}
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python_compile() {
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distutils-r1_python_compile -j1
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}
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# Copyright 1999-2022 Gentoo Authors
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# Copyright 1999-2023 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=8
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DISTUTILS_USE_PEP517=setuptools
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PYTHON_COMPAT=( python3_{10..11} )
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#FIXME: sci-libs/pytorch is single package:
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#DISTUTILS_SINGLE_IMPL=1
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#inherit python-single-r1
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inherit distutils-r1
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#git branch
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HASH_COMMIT="${PV}-dev"
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DESCRIPTION="NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pytorch"
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DESCRIPTION="Tools for easy mixed precision and distributed training in Pytorch"
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HOMEPAGE="https://github.com/NVIDIA/apex"
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SRC_URI="https://github.com/NVIDIA/apex/archive/${HASH_COMMIT}.tar.gz -> ${P}-gh.tar.gz"
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LICENSE=""
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SLOT="0"
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KEYWORDS="amd64 ~arm64 x86"
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KEYWORDS="~amd64 ~arm64 ~x86"
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#FIXME: can't use global "cuda"
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IUSE="cuda_ext"
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RDEPEND=">=dev-python/cxxfilt-0.2.0[${PYTHON_USEDEP}]
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>=dev-python/tqdm-4.28.1[${PYTHON_USEDEP}]
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>=dev-python/numpy-1.15.3[${PYTHON_USEDEP}]
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>=sci-libs/pytorch-1.12.0[${PYTHON_USEDEP}]
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>=sci-libs/pytorch-1.12.0
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>=dev-python/pyyaml-5.1[${PYTHON_USEDEP}]
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>=dev-python/packaging-14.0[${PYTHON_USEDEP}]"
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DEPEND="${RDEPEND}"
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