4ef810643f162aebb1d9efd153a82e0dc9e9094e,garage/tf/policies/gaussian_mlp_policy.py,GaussianMLPPolicy,dist_info_sym,#GaussianMLPPolicy#Any#Any#Any#,180

Before Change

                      obs_var,
                      state_info_vars=None,
                      name="dist_info_sym"):
        with enclosing_scope(self.name, name):
            mean_var, std_param_var = L.get_output(
                [self._l_mean, self._l_std_param], obs_var)
            if self.min_std_param is not None:

After Change

        return True

    def dist_info_sym(self, obs_var, state_info_vars=None, name=None):
        with tf.name_scope(name, "dist_info_sym", [obs_var]):
            with tf.name_scope(self._mean_network_name, values=[obs_var]):
                mean_var = L.get_output(self._l_mean, obs_var)
            with tf.name_scope(self._std_network_name, values=[obs_var]):
                std_param_var = L.get_output(self._l_std_param, obs_var)
            if self.min_std_param is not None:
                std_param_var = tf.maximum(std_param_var, self.min_std_param)

Instances