draft ebuild for pytorch
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dev-python/pytorch/metadata.xml
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dev-python/pytorch/metadata.xml
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<?xml version='1.0' encoding='UTF-8'?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="person">
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<email>chr@chymera.eu</email>
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<name>Horea Christian</name>
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</maintainer>
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<maintainer type="project">
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<email>sci@gentoo.org</email>
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<name>Gentoo Science Project</name>
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</maintainer>
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<longdescription lang="en">
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PyTorch is a Python package that provides two high-level features, namely
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Tensor computation (like NumPy) with strong GPU acceleration and deep
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neural networks built on a tape-based autograd system.
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</longdescription>
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</pkgmetadata>
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dev-python/pytorch/pytorch-1.2.0.ebuild
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dev-python/pytorch/pytorch-1.2.0.ebuild
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# Copyright 1999-2018 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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PYTHON_COMPAT=( python2_7 python3_6 )
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inherit distutils-r1
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DESCRIPTION="Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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HOMEPAGE="https://pytorch.org/"
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SRC_URI="https://github.com/pytorch/${PN}/archive/v${PV}.tar.gz -> ${P}.tar.gz"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~x86"
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IUSE="test"
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DEPEND="
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test? ( dev-python/pytest[${PYTHON_USEDEP}] )
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dev-python/setuptools[${PYTHON_USEDEP}]
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"
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RDEPEND="
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dev-python/cffi[${PYTHON_USEDEP}]
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dev-python/future[${PYTHON_USEDEP}]
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dev-python/numpy[${PYTHON_USEDEP}]
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dev-python/pyyaml[${PYTHON_USEDEP}]
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dev-python/requests[${PYTHON_USEDEP}]
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dev-python/six[${PYTHON_USEDEP}]
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dev-python/typing[${PYTHON_USEDEP}]
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dev-util/cmake
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dev-util/ninja
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sci-libs/mkl
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|| ( dev-util/nvidia-cuda-toolkit dev-libs/cudnn )
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"
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