def test_fromdict(self):
        header_dict = self.header_arquivo.todict()
        header_arquivo = itau.registros.HeaderArquivo(**header_dict)
        self.assertEqual(header_arquivo.cedente_nome,
                                                'TRACY TECNOLOGIA LTDA ME')
        self.assertEqual(header_arquivo.nome_do_banco, 'BANCO ITAU SA')
def _compute_reg_grads(gen_grads, disc_vars):
  """Compute gradients norm (this is an upper-bpund of the full-batch norm)."""
  gen_norm = tf.accumulate_n([tf.reduce_sum(u * u) for u in gen_grads])
  disc_reg_grads = tf.gradients(gen_norm, disc_vars)
  return disc_reg_grads