chck chck

	import google.auth
	from google.auth.compute_engine.credentials import \
	Credentials as ComputeEngineCredentials
	from google.auth.transport.requests import Request
	from google.oauth2.credentials import Credentials as OAuth2Credentials
	from google.oauth2.service_account import Credentials, IDTokenCredentials

	IAM_SCOPE = 'https://www.googleapis.com/auth/iam'
	OAUTH_TOKEN_URI = 'https://www.googleapis.com/oauth2/v4/token'

	"""
	Tqdm Download Hook

	Lei Mao
	University of Chicago

	Modified from https://github.com/tqdm/tqdm/blob/master/examples/tqdm_wget.py
	"""

	import os

	#!/bin/bash

	### steps ####
	# Verify the system has a cuda-capable gpu
	# Download and install the nvidia cuda toolkit and cudnn
	# Setup environmental variables
	# Verify the installation
	###

	### to verify your gpu is cuda enable check

	print("Runtime is now restarting...")
	print("You can ignore the error message [Your session crashed for an unknown reason.]")
	sleep(0.5)
	os._exit(0) # restart

	"""An example of how to use tf.Dataset in Keras Model"""
	import tensorflow as tf # only work from tensorflow==1.9.0-rc1 and after

	_EPOCHS = 5
	_NUM_CLASSES = 10
	_BATCH_SIZE = 128

	def training_pipeline():
	# #############
	# Load Dataset

	# enable direnv for python
	# this will enable the commandline support as well as support pycharm

	# 1 install direnv (Homebrew / pip)
	# 2 edit your .bashrc, .bash_profile or .bash_aliases
	function venv-here {
	# you could just use 'layout python' here for 2.7.x
	echo "layout python3" > .envrc
	echo "ln -s .direnv/\$(basename \$VIRTUAL_ENV)/ .env" >> .envrc
	}