utils_test.py 文件源码

def test_create_optimizer(self):
        """Test if create optimizer does work with tf optimizers."""

        optimizer_config = {'learning_rate': 0.1}

        # test missing required entry `class`
        self.assertRaises(AssertionError, create_optimizer, optimizer_config)

        optimizer_config['class'] = 'tensorflow.python.training.gradient_descent.GradientDescentOptimizer'

        with tf.Session().as_default():
            # test if the optimizer is created correctlyW
            optimizer = create_optimizer(optimizer_config)
            self.assertIsInstance(optimizer, tf.train.GradientDescentOptimizer)

            # test if learning_rate variable is created with the correct value
            lr_tensor = tf.get_default_graph().get_tensor_by_name('learning_rate:0')
            tf.get_default_session().run(tf.global_variables_initializer())
            self.assertAlmostEqual(lr_tensor.eval(), 0.1)

        optimizer_config2 = {'learning_rate': 0.1, 'class': 'tensorflow.python.training.momentum.MomentumOptimizer'}

        # test missing required argument (momentum in this case)
        with tf.Graph().as_default():
            self.assertRaises(TypeError, create_optimizer, optimizer_config2)