d59f2519fa91ce3c6e68845e8d4ec55f469eb8a3,tests/auto/keras/test_constraints.py,TestConstraints,test_unitnorm,#TestConstraints#,32

Before Change

        from keras.constraints import unitnorm

        normed = unitnorm(self.example_array)
        self.assertAlmostEqual(
            np.max(np.abs(np.sqrt(np.sum(normed.eval() ** 2, axis=1)) - 1.))
            , 0.)


if __name__ == "__main__":
    unittest.main()

After Change

        normalized = unitnorm(self.example_array)

        norm_of_normalized = np.sqrt(np.sum(normalized.eval()**2))
        difference = norm_of_normalized - 1. //in the unit norm constraint, it should be equal to 1.
        largest_difference = np.max(np.abs(difference))
        self.assertAlmostEqual(largest_difference, 0.)


if __name__ == "__main__":

Instances