dev-libs/cudnn: bump 7.5.0.56

nvidia-cuda-toolkit-10.1 moves include and lib into
targets/x86_64-linux/, so adjust cudnn to install there.

Closes: https://bugs.gentoo.org/681698
Signed-off-by: Jason Zaman <perfinion@gentoo.org>
Package-Manager: Portage-2.3.62, Repoman-2.3.11

diff --git a/dev-libs/cudnn/Manifest b/dev-libs/cudnn/Manifest
index 73e15ffd2a914ec2297f065aea809467f0bddc82..15c4291ed7c83b1b64f39d9f6a1c9f1ec3602584 100644 (file)
--- a/dev-libs/cudnn/Manifest
+++ b/dev-libs/cudnn/Manifest
@@ -1,5 +1,6 @@
 DIST cudnn-10.0-linux-x64-v7.4.1.5.tgz 422699128 BLAKE2B e13b22428f011a4ad6532bfa35d836f23ea6298ad220eaea6c3a6fac7694f1c6b6920255690fac10d84388fb2bec7cc60a0319bd1816b20eac134c7b112822b9 SHA512 fd065c23b27416e2ace5f0eee854ea4a5e04f6ab4cf3a38cf806bb37a45d29756c3f138dfa01b991e96410de3668e0bb9d3cfc19cb7da7113c1f10d4147fcf67
 DIST cudnn-10.0-linux-x64-v7.4.2.24.tgz 424488399 BLAKE2B 9883cccf146e3ca3a05b8e7ebb2d265da3b7e05949ebb76369a865aa1c2c55c217b21a7847417264712882cc882b25380e5978e58c74279eb208ec593d85e919 SHA512 1e1533a62355bbebc3df62b4c0f306195c7301334390511fae2e0f071d58451edda69b72c3a257fd16470fe3ac5d3ec00aaf208dee2e30d7db0c1f9300a9c663
+DIST cudnn-10.1-linux-x64-v7.5.0.56.tgz 471291852 BLAKE2B 966a84e983631c827d7852e1dee0a87d80b61521a3c7c836c746f6ce5b60afb1da955a692dce5f0166600707c1f060231d7062d78acdf6085deb37c023301b8d SHA512 875e50669f7ab0b8f52e793285041c0a33dfc951a562869258dd22f85c94cc924c87325253f39fa64c4386768eafd3b0fe181188ef6dd5707f57fc88a6495e36
 DIST cudnn-8.0-linux-x64-v6.0.tgz 201134139 BLAKE2B a7e616c671272a3a0f0c51b93646c8c60302c3dec85b71144e011bc3460d0ce80ff75d39869c05c4ef183d2d09aff31bb470a3fd3fd3d79b581a7a2d5a349279 SHA512 ddeeacb5b449920d942a26b98c353d78fd6f7d7fb3b3ce42a078626473efdda25c7ae641232702d62eb5749e39ecfd03e88346119c920c19348ac3ee82d3ff47
 DIST cudnn-9.1-linux-x64-v7.tgz 343081241 BLAKE2B 22c2fbef38a05e7929ccc28410dfdbff906b2c3e97e0419cf83988c2fc2340005e4a944d43b1a215b0c3458b2cad03480b7e537ae93861924c28ec1010a530fb SHA512 7eadb64a3d5e49aec2761e6f7dc0295c1d356910b114eed450c47081fc81b6e3b7748f3a4153f6a9d957691e3689cd52823bfa12816b1950dfc8794d6f332749
 DIST cudnn-9.2-linux-x64-v7.1.tgz 421083972 BLAKE2B 1a1dd6708132d6ad6f8f541694b1406de4a26b7bb78b6198bc8ec5ddde2172d0cc0dc540c7c446a2f941ad11cfafa562235d17129ab8e6aa641433c35c8d31d6 SHA512 2f67c905976eb041512eb012a7cc98e1f408ec867f6a1d9d440afbcddc622c03c40de10386e44e4ab138c1a4ad040d39b0e9243f68e22975ca27ec297be25c5d

diff --git a/dev-libs/cudnn/cudnn-7.5.0.56.ebuild b/dev-libs/cudnn/cudnn-7.5.0.56.ebuild
new file mode 100644 (file)
index 0000000..2f13423
--- /dev/null
+++ b/dev-libs/cudnn/cudnn-7.5.0.56.ebuild
@@ -0,0 +1,34 @@
+# Copyright 1999-2019 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+CUDA_PV=10.1
+
+DESCRIPTION="NVIDIA Accelerated Deep Learning on GPU library"
+HOMEPAGE="https://developer.nvidia.com/cuDNN"
+
+MY_PV_MAJOR=$(ver_cut 1-2)
+SRC_URI="cudnn-${CUDA_PV}-linux-x64-v${PV}.tgz"
+
+SLOT="0/7"
+KEYWORDS="~amd64 ~amd64-linux"
+RESTRICT="fetch"
+LICENSE="NVIDIA-cuDNN"
+QA_PREBUILT="*"
+
+S="${WORKDIR}"
+
+DEPEND="=dev-util/nvidia-cuda-toolkit-${CUDA_PV}*"
+RDEPEND="${DEPEND}"
+
+src_install() {
+       insinto /opt/cuda
+       doins cuda/NVIDIA_SLA_cuDNN_Support.txt
+
+       insinto /opt/cuda/targets/x86_64-linux/include
+       doins -r cuda/include/*
+
+       insinto /opt/cuda/targets/x86_64-linux/lib
+       doins -r cuda/lib*/*
+}