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dev-libs/libgpuarray: initial import
Package-Manager: Portage-2.3.3, Repoman-2.3.1
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DIST libgpuarray-0.6.0_rc1.tar.gz 228152 SHA256 c49655af200920e539597f26f975388b02af2f3971567d7e713e1a4ccd0b2a58 SHA512 90b2d31ebe38c08610643b28262375ed093b6587d4fff0bff2b1bbe249de3ec1ff01893cce67401dfec2946095cf83545d5093e8e49d86cded332eb7063d5e2e WHIRLPOOL 44471721d6a75f6dbeac313fd6de9778db3f98bc48904f6333e18b7e24792d62c0def57d05d984908be5ea5241645fcab4d7c537d2dff1fad73e2883e42c8673
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# Copyright 1999-2017 Gentoo Foundation
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# Distributed under the terms of the GNU General Public License v2
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# $Id$
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EAPI=6
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inherit cmake-utils cuda
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MYPV=${PV/_/-}
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DESCRIPTION="Library to manipulate tensors on the GPU"
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HOMEPAGE="http://deeplearning.net/software/libgpuarray/"
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SRC_URI="https://github.com/Theano/${PN}/archive/v${MYPV}.tar.gz -> ${P}.tar.gz"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
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IUSE="cuda doc opencl static-libs test"
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# cuda/opencl loaded dynamically at runtime, no compile time dep
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RDEPEND="
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cuda? ( amd64? ( >=dev-util/nvidia-cuda-toolkit-7 ) )
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opencl? (
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virtual/opencl
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|| ( sci-libs/clblast sci-libs/clblas )
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)
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"
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DEPEND="
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doc? ( app-doc/doxygen )
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test? ( ${RDEPEND}
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dev-libs/check
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virtual/pkgconfig
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)
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"
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S="${WORKDIR}/${PN}-${MYPV}"
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src_prepare() {
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sed -e 's/DESTINATION lib/DESTINATION ${CMAKE_INSTALL_LIBDIR}/g' \
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-i src/CMakeLists.txt || die
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use cuda && cuda_src_prepare
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cmake-utils_src_prepare
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}
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src_configure() {
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local mycmakeargs=()
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cmake-utils_src_configure
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use doc && emake -C doc doxy
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}
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src_test() {
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local dev=cuda
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use opencl && dev=opencl
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DEVICE=${dev} cmake-utils_src_test
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# if !cuda or !opencl: no testing because tests fail
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}
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src_install() {
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use doc && HTML_DOCS=( doc/_doxybuild/html/. )
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cmake-utils_src_install
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use static-libs || rm "${ED}/usr/$(get_libdir)/libgpuarray-static.a"
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}
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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="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>
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Multi data-types, N-dimensional array library for the GPU, and
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with python numpy and theano workflow in mind.
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</longdescription>
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<upstream>
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<remote-id type="github">Theano/libgpuarray</remote-id>
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</upstream>
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<use>
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<flag name="cuda">Enable NVIDIA CUDA toolkit support</flag>
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<flag name="opencl">Enable OpenCL support</flag>
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</use>
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</pkgmetadata>
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