setup.py

# To support both python 2 and python 3
from __future__ import division, print_function, unicode_literals

# Common imports
import numpy as np

from pathlib import Path


# to make this notebook's output stable across runs
def reset_graph(seed=42):
    tf.compat.v1.reset_default_graph()
    tf.compat.v1.set_random_seed(seed)
    np.random.seed(seed)


# To plot pretty figures
import matplotlib.pyplot as plt
plt.rcParams['axes.labelsize'] = 14
plt.rcParams['xtick.labelsize'] = 12
plt.rcParams['ytick.labelsize'] = 12


import tensorflow as tf

reset_graph()

from datetime import datetime

now = datetime.utcnow().strftime("%Y%m%d%H%M%S")

home_dir = str(Path.home())
root_logdir = home_dir+'/tf_logs'
logdir = "{}/run-{}/".format(root_logdir, now)

root_savedir = home_dir+'/tf_model'
modeldir = "{}/run-{}/".format(root_savedir, now)

root_cachedir = home_dir+'/cache'
cachepath = "{}/run-{}".format(root_cachedir, now)
cachepath = cachepath+'.pkl'

gpu_devices = {0: '/device:GPU:0', 1: '/device:GPU:1', 2: '/device:GPU:2'}