test_constraints.py 文件源码

def test_unitnorm(self):
        from keras.constraints import unitnorm
        unitnorm_instance = unitnorm()

        normalized = unitnorm_instance(self.example_array)

        norm_of_normalized = np.sqrt(np.sum(normalized.eval()**2, axis=1))
        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.)