import tensorflow as tf

        with tf.Session(config=config) as sess:
            t22 = time.time()
            expected = sess.run(conv)
            t11 = time.time()
            for i in range(0, num_trials):
                sess.run(conv)
            t22 = time.time()
            td = abs(t22 - t11) / max(num_trials,1)
            print("time dense gpu: ", td)
        tf.reset_default_graph()

        print("time ratio: ", ts / td)
        return [expected, sv3, ts, td]
        

def do_test(res, f_density, batch_size):
    pid = os.getpid()
    print(pid)
