b50695e45350a8a4d11bd60ba1801d6ae93eddbf,src/garage/tf/regressors/continuous_mlp_regressor.py,ContinuousMLPRegressor,predict_sym,#ContinuousMLPRegressor#Any#Any#,112

Before Change

    def predict_sym(self, xs, name=None):
        with tf.name_scope(name, "predict_sym", values=[xs]):
            return L.get_output(self.l_out, xs)

    def fit(self, xs, ys):
        if self.normalize_inputs:
            // recompute normalizing constants for inputs

After Change

        with tf.compat.v1.variable_scope(self._variable_scope):
            y_hat, _, _ = self.model.build(xs, name=name)

        return y_hat

    def get_params_internal(self, **args):
        Get the params, which are the trainable variables.
        return self._variable_scope.trainable_variables()

Instances