from network import Network
import tensorflow as tf
import random
import numpy as np

session = tf.Session()
graph_lol = tf.Graph()



network = Network(session)

initial_state = np.array(( 0,
                  2, 0, 0, 0, 0, -5,
                  0, -3, 0, 0, 0, 5,
                  -5, 0, 0, 0, 3, 0,
                  5, 0, 0, 0, 0, -2,
                  0 )).reshape((1,26))
    



#print(x.shape)
with graph_lol.as_default():
    session_2 = tf.Session(graph = graph_lol)
    network_2 = Network(session_2)
    network_2.restore_model()
    print(network_2.eval_state(initial_state))
    
print(network.eval_state(initial_state))