(self, points)
return tf.minimum(tf.maximum(res, self.lower), self.upper)
Evaluation, see `DeterministicFunction.evaluate`.
Evaluation, see `DeterministicFunction.evaluate`.
Evaluation see DeterministicFunction . evaluate .
def build_evaluation(self, points):
        """Evaluation, see `DeterministicFunction.evaluate`."""
        res = self.fun.build_evaluation(points)

        # Broadcasting in tf.clip_by_value not available in TensorFlow >= 1.6.0
        return tf.minimum(tf.maximum(res, self.lower), self.upper)
def build_evaluation ( self , points ) : res = self . fun . build_evaluation ( points ) # Broadcasting in tf.clip_by_value not available in TensorFlow >= 1.6.0 return tf . minimum ( tf . maximum ( res , self . lower ) , self . upper )