c81d6ec93f6350eabec347acc4420456dc07312b,tests/auto/keras/test_normalization.py,TestBatchNormalization,test_mode_0,#TestBatchNormalization#,22

Before Change

        self.assertAlmostEqual(norm_m0.running_std.eval(), 0.5*np.arange(10).std(), places=2)

        out_test = (norm_m0.get_output(train=False) - norm_m0.beta)/norm_m0.gamma
        self.assertAlmostEqual(out_test.mean().eval(), -2.25 / (0.5*np.arange(10).std()),places=2)
        self.assertAlmostEqual(out_test.std().eval(), 0.0, places=2)

        norm_m0.input = self.input_3
        out = (norm_m0.get_output(train=True) - norm_m0.beta)/norm_m0.gamma

After Change

        self.assertRaises(Exception, normalization.BatchNormalization((10, 10), mode=3))

    def test_mode_0(self):
        model = Sequential()
        norm_m0 = normalization.BatchNormalization((10,))
        model.add(norm_m0)
        model.compile(loss="mse", optimizer="sgd")

        // centered on 5.0, variance 10.0
        X = np.random.normal(loc=5.0, scale=10.0, size=(1000, 10))
        model.fit(X, X, nb_epoch=5, verbose=0)

Instances