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authorKostas Georgiadis2020-10-04 11:56:11 +0300
committerKostas Georgiadis2020-10-04 11:56:11 +0300
commit2e63b0c0f1328f070e0c345457ee759f1c1cc248 (patch)
tree374c07c5dcc08f31810c6cc024b9ea84cc499cb9
downloadaur-2e63b0c0f1328f070e0c345457ee759f1c1cc248.tar.gz
initial commit
-rw-r--r--.SRCINFO16
-rw-r--r--NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdfbin0 -> 162625 bytes
-rw-r--r--PKGBUILD37
3 files changed, 53 insertions, 0 deletions
diff --git a/.SRCINFO b/.SRCINFO
new file mode 100644
index 000000000000..3b7ea8240c96
--- /dev/null
+++ b/.SRCINFO
@@ -0,0 +1,16 @@
+pkgbase = cudnn
+ pkgdesc = NVIDIA CUDA Deep Neural Network library
+ pkgver = 7.6.5.32
+ pkgrel = 1
+ url = https://developer.nvidia.com/cuDNN
+ arch = x86_64
+ license = custom
+ depends = cuda-10.1
+ noextract = cudnn-10.1-linux-x64-v7.6.5.32.tgz
+ source = https://developer.download.nvidia.com/compute/redist/cudnn/v7.6.5/cudnn-10.1-linux-x64-v7.6.5.32.tgz
+ source = NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
+ sha512sums = 1073bc42c2c36fce6b710882a04a4035d66d95c410200b9d50953e993d7b801cc3a837e42843ad2447e62ea5dfc8ba22c8a803464716c56ffb811aa278645771
+ sha512sums = 38bbb7eb287914e4d7ba79da20a47222382687832d4ba0290715199a129c08715a23681800cf8d381f40e24202470a7b20505a31c8cea51a78762a740860251b
+
+pkgname = cudnn
+
diff --git a/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf b/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
new file mode 100644
index 000000000000..dc2d30555a3e
--- /dev/null
+++ b/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
Binary files differ
diff --git a/PKGBUILD b/PKGBUILD
new file mode 100644
index 000000000000..20904b7b39e7
--- /dev/null
+++ b/PKGBUILD
@@ -0,0 +1,37 @@
+# Maintainer: Kostas Georgiadis <kot+aur at cons dot gr>
+
+pkgname=cudnn
+pkgver=7.6.5.32
+_pkgver=7.6.5
+_cudaver=10.1
+_majorver=7
+pkgrel=1
+pkgdesc="NVIDIA CUDA Deep Neural Network library"
+arch=('x86_64')
+url="https://developer.nvidia.com/cuDNN"
+license=('custom')
+depends=('cuda-10.1')
+# To figure out these URLs, check out the Dockerfiles at
+# https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist for the appropriate cuda version
+# or make an NVIDIA Developer account.
+# Alternatively, check https://github.com/pytorch/builder/blob/master/common/install_cuda.sh
+source=("https://developer.download.nvidia.com/compute/redist/cudnn/v${_pkgver}/cudnn-${_cudaver}-linux-x64-v${pkgver}.tgz"
+ "NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf")
+sha512sums=('1073bc42c2c36fce6b710882a04a4035d66d95c410200b9d50953e993d7b801cc3a837e42843ad2447e62ea5dfc8ba22c8a803464716c56ffb811aa278645771'
+ '38bbb7eb287914e4d7ba79da20a47222382687832d4ba0290715199a129c08715a23681800cf8d381f40e24202470a7b20505a31c8cea51a78762a740860251b')
+noextract=("cudnn-${_cudaver}-linux-x64-v${pkgver}.tgz")
+
+package() {
+ mkdir -p "${pkgdir}"/usr/share/licenses/
+ tar xf cudnn-${_cudaver}-linux-x64-v${pkgver}.tgz --strip-components 1 -C "${pkgdir}/usr"
+
+ mv "${pkgdir}"/usr/lib64 "${pkgdir}"/usr/lib
+
+ install -Dm644 \
+ "${srcdir}"/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf \
+ "${pkgdir}"/usr/share/licenses/${pkgname}/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
+
+ mv "${pkgdir}"/usr/NVIDIA_SLA_cuDNN_Support.txt "${pkgdir}"/usr/share/licenses/${pkgname}/NVIDIA_SLA_cuDNN_Support.txt
+}
+
+# vim: ts=2 sw=2 ft=sh syn=sh et