In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
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#!/bin/sh | |
# OUTDATED: please refer to the link below for the latest version: | |
# https://github.com/rancherlabs/support-tools/blob/master/extended-rancher-2-cleanup/extended-cleanup-rancher2.sh | |
docker rm -f $(docker ps -qa) | |
docker volume rm $(docker volume ls -q) | |
cleanupdirs="/var/lib/etcd /etc/kubernetes /etc/cni /opt/cni /var/lib/cni /var/run/calico /opt/rke" | |
for dir in $cleanupdirs; do | |
echo "Removing $dir" | |
rm -rf $dir | |
done |
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sudo yum -y install epel-release | |
sudo yum -y install gcc gcc-c++ python-pip python-devel atlas atlas-devel gcc-gfortran openssl-devel libffi-devel | |
# use pip or pip3 as you prefer for python or python3 | |
pip install --upgrade virtualenv | |
virtualenv --system-site-packages ~/venvs/tensorflow | |
source ~/venvs/tensorflow/bin/activate | |
pip install --upgrade numpy scipy wheel cryptography #optional | |
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl | |
# or below if you want gpu, support, but cuda and cudnn are required, see docs for more install instructions | |
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl |
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#!/usr/bin/env python | |
import socket | |
import binascii | |
import threading | |
import time | |
import json | |
reconnect_flag = 0 |
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#! /bin/bash | |
set -e | |
trap 'previous_command=$this_command; this_command=$BASH_COMMAND' DEBUG | |
trap 'echo FAILED COMMAND: $previous_command' EXIT | |
#------------------------------------------------------------------------------------------- | |
# This script will download packages for, configure, build and install a GCC cross-compiler. | |
# Customize the variables (INSTALL_PATH, TARGET, etc.) to your liking before running. | |
# If you get an error and need to resume the script from some point in the middle, | |
# just delete/comment the preceding lines before running it again. |