test_constraints.py 文件源码

def test_unitnorm():
    unitnorm_instance = constraints.unitnorm()
    normalized = unitnorm_instance(K.variable(example_array))
    norm_of_normalized = np.sqrt(np.sum(K.eval(normalized)**2, axis=0))
    # in the unit norm constraint, it should be equal to 1.
    difference = norm_of_normalized - 1.
    largest_difference = np.max(np.abs(difference))
    assert(np.abs(largest_difference) < 10e-5)