ubuntu install

x6s.txt

sudo -H mkdir /mnt/e
sudo -H mkdir /mnt/d

#!/bin/sh -e
#
# rc.local
#
# This script is executed at the end of each multiuser runlevel.
# Make sure that the script will "exit 0" on success or any other
# value on error.
#
# In order to enable or disable this script just change the execution
# bits.
#
# By default this script does nothing.
sudo -H mount /dev/sdb5 /mnt/d/
sudo -H mount /dev/sdb6 /mnt/e/
sudo /opt/XX-Net/xx_net.sh start
exit 0


2 sudo -H cp -PR opt/ /

sudo apt-get update
sudo apt-get install python-openssl libffi-dev python-gtk2 python-appindicator libnss3-tools
sudo /opt/XX-Net/xx_net.sh start
sudo apt-get remove firefox

sudo apt-get install gcc
sudo apt-get install linux-headers-$(uname -r)
sudo apt-get install nvidia-384

sudo dpkg -i cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64.deb
sudo apt-key add /var/cuda-repo-8-0-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda


http_proxy=http://localhost:1080

#!/bin/bash

# install cuDNN v6.0
CUDNN_TAR_FILE="cudnn-8.0-linux-x64-v6.0.tgz"
echo CUDNN_TAR_FILE
if [ -f ${CUDNN_TAR_FILE} ]; then
  echo 'use cache'
fi
if [ ! -f ${CUDNN_TAR_FILE} ]; then
  echo 'downloading'
  wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/${CUDNN_TAR_FILE}
fi
tar -xzvf ${CUDNN_TAR_FILE}
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-8.0/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-8.0/lib64/
sudo chmod a+r /usr/local/cuda-8.0/lib64/libcudnn*

# set environment variables
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
export PATH=/usr/local/cuda-8.0/bin:$PATH


wget https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp36-cp36m-linux_x86_64.whl
sudo -H pip3 install tensorflow_gpu-1.3.0-cp36-cp36m-linux_x86_64.whl











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