Eric Fourrier ericfourrier

## install_cudnn.sh
# Download cudnn from https://developer.nvidia.com/cudnn

# untar archive
tar -zxf cudnn-7.5-linux-x64-v5.1.tgz # cuda 7.5 cudnn 5.1

sudo cp -P include/cudnn.h /usr/include
sudo cp -P lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*

## create_swap_file.sh
# Swap should take place on the Instance Storage (ephemeral) disk and not an EBS device.
# Check that your ephemeral storage is mounted sudo mount /dev/xvda2 /mnt
sudo dd if=/dev/zero of=/mnt/swapfile bs=1M count=16348 # create 16G swap
# Permission
sudo chown root:root /mnt/swapfile
sudo chmod 600 /mnt/swapfile
# Activate swapfile
sudo mkswap /mnt/swapfile
sudo swapon /mnt/swapfile
# add this to /etc/fstab

## bleeding_edge_pip.sh
pip install --upgrade --no-deps

## install_nvidia_driver.sh
#! /bin/bash

# nvidia-370 seems to work
# Adding user to docker sudo (docker required)
sudo usermod -aG docker $(whoami)

# Nvidia pre-requirements
sudo apt-get update && sudo apt-get upgrade
sudo apt-get install -y linux-headers-$(uname -r)
sudo add-apt-repository ppa:graphics-drivers/ppa

## docker_stop.sh
# stop and remove containers
docker rm $(docker ps -a -q)
docker stop $(docker ps -a -q)

## local_port_forwarding.sh
ssh -nNT -L port_local:host:port_remote server # no shell associated

# ssh -L <local port>:<remote computer>:<remote port> <user>@<remote ip>

## change_kernel_ovh.md

      
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                ericfourrier
                / change_kernel_ovh.md
            
            
              Created
              July 9, 2016 00:03
            
          
    Changing Kernel OVH to install docker

Ovh uses custom optimised kernel that are not natively compatible with docker
So you need to change the kernel in order to use docker
Instructions


Download standard linux kernel sudo apt-get install linux-image-generic
Edit /etc/default/grub with GRUB_DEFAULT to 1
run sudo update-grub
Reboot


## lxml_dependencies.sh
apt-get install libxml2-dev libxslt-dev zlib1g-dev

## logging_simple_config.py
logging.basicConfig(
    format='%(asctime)s -- %(name)s -- %(levelname)s -- %(message)s', level=logging.DEBUG)

## lxml_install_ubuntu.sh
sudo apt-get install libxml2-dev libxslt-dev python3-dev zlib1g-dev
pip3 install lxml
	# Download cudnn from https://developer.nvidia.com/cudnn

	# untar archive
	tar -zxf cudnn-7.5-linux-x64-v5.1.tgz # cuda 7.5 cudnn 5.1

	sudo cp -P include/cudnn.h /usr/include
	sudo cp -P lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
	sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
	# Swap should take place on the Instance Storage (ephemeral) disk and not an EBS device.
	# Check that your ephemeral storage is mounted sudo mount /dev/xvda2 /mnt
	sudo dd if=/dev/zero of=/mnt/swapfile bs=1M count=16348 # create 16G swap
	# Permission
	sudo chown root:root /mnt/swapfile
	sudo chmod 600 /mnt/swapfile
	# Activate swapfile
	sudo mkswap /mnt/swapfile
	sudo swapon /mnt/swapfile
	# add this to /etc/fstab
	#! /bin/bash

	# nvidia-370 seems to work
	# Adding user to docker sudo (docker required)
	sudo usermod -aG docker $(whoami)

	# Nvidia pre-requirements
	sudo apt-get update && sudo apt-get upgrade
	sudo apt-get install -y linux-headers-$(uname -r)
	sudo add-apt-repository ppa:graphics-drivers/ppa
	# stop and remove containers
	docker rm $(docker ps -a -q)
	docker stop $(docker ps -a -q)
	ssh -nNT -L port_local:host:port_remote server # no shell associated

	# ssh -L <local port>:<remote computer>:<remote port> <user>@<remote ip>
	logging.basicConfig(
	format='%(asctime)s -- %(name)s -- %(levelname)s -- %(message)s', level=logging.DEBUG)
	sudo apt-get install libxml2-dev libxslt-dev python3-dev zlib1g-dev
	pip3 install lxml