import tensorflow as tf
import numpy as np
import random as rn
from tensorflow.keras import backend as K


np.random.seed(0)
rn.seed(0)
session_conf = tf.ConfigProto(intra_op_parallelism_threads=1, inter_op_parallelism_threads=1)
tf.set_random_seed(0)
sess = tf.Session(graph=tf.get_default_graph(), config=session_conf)
K.set_session(sess)