import tensorflow as tf

        mobilenet_v1.mobilenet_v1(train_inputs, num_classes)
        eval_inputs = tf.random_uniform((eval_batch_size, height, width, 3))
        logits, _ = mobilenet_v1.mobilenet_v1(eval_inputs, num_classes,
                                              reuse=True)
        predictions = tf.argmax(logits, 1)

        with self.test_session() as sess:
            sess.run(tf.global_variables_initializer())
            output = sess.run(predictions)
            self.assertEqual(output.shape, (eval_batch_size,))

    def testLogitsNotSqueezed(self):
        num_classes = 25
        images = tf.random_uniform([1, 224, 224, 3])
