9c69c1fe57ca5bdf86e382859aa886ccd43eafc8,cleverhans/experimental/certification/dual_formulation.py,DualFormulation,construct_lanczos_params,#DualFormulation#,147

Before Change

      return self.get_h_product(x)

    // Construct nodes for computing eigenvalue of M
    self.alpha_m, self.beta_m, self.Q_m = self.min_eigen_vec(_m_vector_prod_fn,
                                                             0,
                                                             self.matrix_m_dimension,
                                                             self.lzs_params["min_iter"])

After Change

                                                        self.matrix_m_dimension-1,
                                                        self.lzs_params["max_iter"],
                                                        dtype=self.lanczos_dtype)
    self.h_min_eig = tf.cast(self.h_min_eig, self.nn_dtype)
    self.h_min_vec = tf.cast(self.h_min_vec, self.nn_dtype)

  def set_differentiable_objective(self):
    Function that constructs minimization objective from dual variables.

Instances