Add cuDNN 7.6.0.64 for CUDA 10.0.

dev-libs/cudnn/Manifest

@@ -0,0 +1,2 @@
+DIST cudnn-10.0-linux-x64-v7.6.0.64.tgz 462318775 BLAKE2B a03b9803bc96b7c30e253f848820c13c2ab21ec5a16c54b6c60311410cb10cdfb7175985d3afe9abd9a4bd074259c67e33e95cb50081387dd2d4a24882e10df3 SHA512 8f5fd38662bd6c7b77ba6177cde350c473d170df58b2bde265124585d929a5105a93c6a71b96760ef32ed352f919424859719d0658799cb2a8811606422e7849
+EBUILD cudnn-7.6.0.64-r1.ebuild 718 BLAKE2B 0743697345e7f9b0cecb37b0e98cd1b3fad76ec2d6dd1e1dde719bbfd00fffff14c3925c09f2a77bd32d71c93280d990fd330c960fe04485656e85e4c13dd06b SHA512 6e7286387fba17218cfcbfb49083063852ee6214009278f22c17caf5b0c6e913e57387ef23f06d686e0eebf5c498aff99970ddc8380a4d4ff46b8021fc79634f

dev-libs/cudnn/cudnn-7.6.0.64-r1.ebuild

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+# Copyright 1999-2019 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+CUDA_PV=10.0
+
+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*/*
+}