code: def test_orthogonal_regularizer(self):
      value = np.random.random((4, 4))
      x = backend.Variable(value)
      y = regularizers.OrthogonalRegularizer(factor=0.1, mode="rows")(x)
  
      l2_norm = np.linalg.norm(value, axis=1, keepdims=True)
      inputs = value / l2_norm
      self.assertAllClose(
          y,
          0.1
          * 0.5
          * np.sum(
              np.abs(
                  np.dot(inputs, np.transpose(inputs))
                  * (1.0 - np.eye(4))
              )
          )
          / (4.0 * (4.0 - 1.0) / 2.0),
      )
  
imports: import numpy
  from keras import backend
  from keras import regularizers
  from keras import testing
  from keras.regularizers.regularizers import validate_float_arg
label_desc: Use image node_id 5 for calling the RegularizersTest obj's underlying member method code with example usage: obj.test_orthogonal_regularizer() without return types