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

Before Change

    self.alpha_h, self.beta_h, self.Q_h = self.min_eigen_vec(_h_vector_prod_fn,
                                                             0,
                                                             self.matrix_m_dimension-1,
                                                             self.lzs_params["max_iter"])

    self.alpha_h_hat, self.beta_h_hat, self.Q_h_hat = self.min_eigen_vec(_h_vector_prod_fn,
                                                                         self.eig_max_placeholder,

After Change

                                                        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.
    // Checking if graphs are already created

Instances