From 620777f1f9a6c5136e582aa3cd01107b9641c26e Mon Sep 17 00:00:00 2001 From: Nikolay Nikolov Date: Tue, 18 Jul 2017 11:47:28 +0100 Subject: development/cudnn: Added (CUDA Deep Neural Network library). Signed-off-by: David Spencer --- development/cudnn/README | 12 +++++ development/cudnn/cudnn.SlackBuild | 95 ++++++++++++++++++++++++++++++++++++++ development/cudnn/cudnn.info | 10 ++++ development/cudnn/slack-desc | 19 ++++++++ 4 files changed, 136 insertions(+) create mode 100644 development/cudnn/README create mode 100644 development/cudnn/cudnn.SlackBuild create mode 100644 development/cudnn/cudnn.info create mode 100644 development/cudnn/slack-desc (limited to 'development') diff --git a/development/cudnn/README b/development/cudnn/README new file mode 100644 index 0000000000..097b80517b --- /dev/null +++ b/development/cudnn/README @@ -0,0 +1,12 @@ +The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated +library of primitives for deep neural networks. cuDNN provides highly tuned +implementations for standard routines such as forward and backward convolution, +pooling, normalization, and activation layers. cuDNN is part of the NVIDIA +Deep Learning SDK. + +You will need to register for NVIDIA developer account to download the source. + +Make sure you create the CUDA_HOME environment variable and add it to your +~/.bashrc. The default should be + +CUDA_HOME=/usr/share/cuda diff --git a/development/cudnn/cudnn.SlackBuild b/development/cudnn/cudnn.SlackBuild new file mode 100644 index 0000000000..248450a15b --- /dev/null +++ b/development/cudnn/cudnn.SlackBuild @@ -0,0 +1,95 @@ +#!/bin/sh + +# Slackware build script for cudnn + +# Copyright 2016 Nikolay Nikolov +# All rights reserved. +# +# Redistribution and use of this script, with or without modification, is +# permitted provided that the following conditions are met: +# +# 1. Redistributions of this script must retain the above copyright +# notice, this list of conditions and the following disclaimer. +# +# THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED +# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF +# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO +# EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; +# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, +# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR +# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF +# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +PRGNAM=cudnn +VERSION=${VERSION:-v5.1_8.0} +BUILD=${BUILD:-1} +TAG=${TAG:-_SBo} + +CUDNN_VERSION=${VERSION%_*} +CUDA_VERSION=${VERSION#*_} + +if [ -z "$ARCH" ]; then + case "$( uname -m )" in + i?86) ARCH=i586 ;; + arm*) ARCH=arm ;; + *) ARCH=$( uname -m ) ;; + esac +fi + +CWD=$(pwd) +TMP=${TMP:-/tmp/SBo} +PKG=$TMP/package-$PRGNAM +OUTPUT=${OUTPUT:-/tmp} + +if [ "$ARCH" = "i586" ]; then + SLKCFLAGS="-O2 -march=i586 -mtune=i686" + LIBDIRSUFFIX="" +elif [ "$ARCH" = "i686" ]; then + SLKCFLAGS="-O2 -march=i686 -mtune=i686" + LIBDIRSUFFIX="" +elif [ "$ARCH" = "x86_64" ]; then + SLKCFLAGS="-O2 -fPIC" + LIBDIRSUFFIX="64" +else + SLKCFLAGS="-O2" + LIBDIRSUFFIX="" +fi + +set -e + +rm -rf $PKG +mkdir -p $TMP $PKG $OUTPUT +cd $TMP +rm -rf cuda +tar xvf $CWD/$PRGNAM-$CUDA_VERSION-linux-x64-$CUDNN_VERSION.tgz +cd cuda +chown -R root:root . +find -L . \ + \( -perm 777 -o -perm 775 -o -perm 750 -o -perm 711 -o -perm 555 \ + -o -perm 511 \) -exec chmod 755 {} \; -o \ + \( -perm 666 -o -perm 664 -o -perm 640 -o -perm 600 -o -perm 444 \ + -o -perm 440 -o -perm 400 \) -exec chmod 644 {} \; + +mkdir -p $PKG/usr/share/cuda/include +cp -P \ + include/cudnn.h \ +$PKG/usr/share/cuda/include + +mkdir -p $PKG/usr/share/cuda/lib64 +cp -P \ + lib64/libcudnn* \ +$PKG/usr/share/cuda/lib64 + +find $PKG -print0 | xargs -0 file | grep -e "executable" -e "shared object" | grep ELF \ + | cut -f 1 -d : | xargs strip --strip-unneeded 2> /dev/null || true + +mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION +cat $CWD/$PRGNAM.SlackBuild > $PKG/usr/doc/$PRGNAM-$VERSION/$PRGNAM.SlackBuild + +mkdir -p $PKG/install +cat $CWD/slack-desc > $PKG/install/slack-desc + +cd $PKG +/sbin/makepkg -l y -c n $OUTPUT/$PRGNAM-$VERSION-$ARCH-$BUILD$TAG.${PKGTYPE:-tgz} diff --git a/development/cudnn/cudnn.info b/development/cudnn/cudnn.info new file mode 100644 index 0000000000..fc880026df --- /dev/null +++ b/development/cudnn/cudnn.info @@ -0,0 +1,10 @@ +PRGNAM="cudnn" +VERSION="v5.1_8.0" +HOMEPAGE="https://developer.nvidia.com/cudnn" +DOWNLOAD="UNSUPPORTED" +MD5SUM="" +DOWNLOAD_x86_64="https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v6/prod/8.0_20170427/cudnn-8.0-linux-x64-v5.1-tgz" +MD5SUM_x86_64="406f4ac7f7ee8aa9e41304c143461a69" +REQUIRES="cudatoolkit" +MAINTAINER="Nikolay Nikolov" +EMAIL="nikobnikolov[at]gmail[dot]com" diff --git a/development/cudnn/slack-desc b/development/cudnn/slack-desc new file mode 100644 index 0000000000..8d2866e86c --- /dev/null +++ b/development/cudnn/slack-desc @@ -0,0 +1,19 @@ +# HOW TO EDIT THIS FILE: +# The "handy ruler" below makes it easier to edit a package description. +# Line up the first '|' above the ':' following the base package name, and +# the '|' on the right side marks the last column you can put a character in. +# You must make exactly 11 lines for the formatting to be correct. It's also +# customary to leave one space after the ':' except on otherwise blank lines. + + |-----handy-ruler------------------------------------------------------| +cudnn: cudnn (CUDA Deep Neural Network library) +cudnn: +cudnn: The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU +cudnn: accelerated library of primitives for deep neural networks. cuDNN +cudnn: provides highly tuned implementations for standard routines such as +cudnn: forward and backward convolution, pooling, normalization, and +cudnn: activation layers. cuDNN is part of the NVIDIA Deep Learning SDK. +cudnn: +cudnn: +cudnn: https://developer.nvidia.com/cudnn +cudnn: -- cgit v1.2.3