Fatih Baltaci fatihbaltaci

	// Check if a slave has < 10 GB of free space, wipe out workspaces if it does

	import hudson.model.*;
	import hudson.util.*;
	import jenkins.model.*;
	import hudson.FilePath.FileCallable;
	import hudson.slaves.OfflineCause;
	import hudson.node_monitors.*;

	for (node in Jenkins.instance.nodes) {

	import requests
	import json

	TOKEN = "<YOUR_TOKEN>"

	if __name__ == '__main__':
	files_list_url = 'https://slack.com/api/users.list'

	data = {"token": TOKEN}
	response = requests.post(files_list_url, data=data)

	import requests

	TOKEN = "<YOUR_TOKEN>"


	def delete(_response):
	for f in _response.json()["files"]:
	print("Deleting file " + f["name"] + "...")
	delete_url = 'https://slack.com/api/files.delete'
	res = requests.post(delete_url, data={

	wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

	bash Miniconda3-latest-Linux-x86_64.sh

	#(Optional)
	conda install pytorch=0.4.1 cuda90 -c pytorch

	wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run

	chmod +x cuda_9.0.176_384.81_linux-run

	./cuda_9.0.176_384.81_linux-run --extract=`pwd`

	./cuda-linux.9.0.176-22781540.run

	#!/bin/bash

	sudo apt install -y texlive-latex-extra texlive-science gummi

	# First install CUDA https://gist.github.com/fatihbaltaci/e9ac5dde14e17c8b59c3ce4e90bcac0a

	# Download (cuDNN Library for Linux) from https://developer.nvidia.com/rdp/cudnn-download

	tar -xzvf cudnn-9.0-linux-x64-v7.5.0.56.tgz

	#Default /usr/local/cuda
	CUDA_HOME=<CUDA_PATH>

	sudo cp cuda/include/cudnn.h $CUDA_HOME/include