import tensorflow as tf




"""
Test RNN graph 0 step
"""
def test_rnn(test_data_x,test_data_y, g, checkpoint, input_prob, output_prob, state_prob, num_test):
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())

        test_data_yp = np.insert(test_data_y,0,0,axis=0)[:-1]

        "read the trained graph"
        g['saver'].restore(sess, checkpoint)

        
