[arch-commits] Commit in cudnn/repos/community-x86_64 (4 files)

Sven-Hendrik Haase svenstaro at archlinux.org
Wed Nov 11 02:08:20 UTC 2020


    Date: Wednesday, November 11, 2020 @ 02:08:20
  Author: svenstaro
Revision: 749941

archrelease: copy trunk to community-x86_64

Added:
  cudnn/repos/community-x86_64/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
    (from rev 749940, cudnn/trunk/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf)
  cudnn/repos/community-x86_64/PKGBUILD
    (from rev 749940, cudnn/trunk/PKGBUILD)
Deleted:
  cudnn/repos/community-x86_64/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
  cudnn/repos/community-x86_64/PKGBUILD

----------+
 PKGBUILD |   80 ++++++++++++++++++++++++++++++-------------------------------
 1 file changed, 40 insertions(+), 40 deletions(-)

Deleted: NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf
===================================================================
(Binary files differ)

Copied: cudnn/repos/community-x86_64/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf (from rev 749940, cudnn/trunk/NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf)
===================================================================
(Binary files differ)

Deleted: PKGBUILD
===================================================================
--- PKGBUILD	2020-11-11 02:08:04 UTC (rev 749940)
+++ PKGBUILD	2020-11-11 02:08:20 UTC (rev 749941)
@@ -1,40 +0,0 @@
-# Maintainer: Sven-Hendrik Haase <sh at lutzhaase.com>
-# Contributor: Adria Arrufat <adria.arrufat AT protonmail+aur DOT com>
-# Contributor: Sami B. <spidermario at free.fr>
-# Contributor: Yunhui Fu <yhfdev at gmail.com>
-
-pkgname=cudnn
-pkgver=8.0.4.30
-_pkgver=8.0.4
-_cudaver=11.1
-_majorver=8
-pkgrel=1
-pkgdesc="NVIDIA CUDA Deep Neural Network library"
-arch=('x86_64')
-url="https://developer.nvidia.com/cuDNN"
-license=('custom')
-depends=('cuda>=11')
-# 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${pkgver}.tgz"
-        "NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf")
-sha512sums=('57615fef93f0897ede6d65da255a61f2e84d25ef46cd85c5f65558ba4bd8fee6f1ff06a4b0ecf20d0ff92bfd019a3068c719cdcd0de0eb2d16b18caee4aae610'
-            '38bbb7eb287914e4d7ba79da20a47222382687832d4ba0290715199a129c08715a23681800cf8d381f40e24202470a7b20505a31c8cea51a78762a740860251b')
-noextract=("cudnn-${_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

Copied: cudnn/repos/community-x86_64/PKGBUILD (from rev 749940, cudnn/trunk/PKGBUILD)
===================================================================
--- PKGBUILD	                        (rev 0)
+++ PKGBUILD	2020-11-11 02:08:20 UTC (rev 749941)
@@ -0,0 +1,40 @@
+# Maintainer: Sven-Hendrik Haase <sh at lutzhaase.com>
+# Contributor: Adria Arrufat <adria.arrufat AT protonmail+aur DOT com>
+# Contributor: Sami B. <spidermario at free.fr>
+# Contributor: Yunhui Fu <yhfdev at gmail.com>
+
+pkgname=cudnn
+pkgver=8.0.5.39
+_pkgver=8.0.5
+_cudaver=11.1
+_majorver=8
+pkgrel=1
+pkgdesc="NVIDIA CUDA Deep Neural Network library"
+arch=('x86_64')
+url="https://developer.nvidia.com/cuDNN"
+license=('custom')
+depends=('cuda>=11')
+# 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${pkgver}.tgz"
+        "NVIDIA_SLA+cuDNN_Supp_Feb2017_release.pdf")
+sha512sums=('f704df22336376a9053a7c1f22e650beab61c6829325e0c221416f38a867180a65f9aca7a6f14f5a61c0b450d24a1dff27df47d996d3d26ff1c300b9bedaacc6'
+            '38bbb7eb287914e4d7ba79da20a47222382687832d4ba0290715199a129c08715a23681800cf8d381f40e24202470a7b20505a31c8cea51a78762a740860251b')
+noextract=("cudnn-${_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



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