tf_util.py 文件源码

def __call__(self, *args):
        if args in self.cache:
            print("(%s) retrieving value from cache"%self.name)
            return self.cache[args]
        with tf.variable_scope(self.name, reuse=not self.first_time):
            scope = tf.get_variable_scope().name
            if self.first_time:
                self.scope = scope
                print("(%s) running function for the first time"%self.name)
            else:
                assert self.scope == scope, "Tried calling function with a different scope"
                print("(%s) running function on new inputs"%self.name)
            self.first_time = False
            out = self._call(*args)
        self.cache[args] = out
        return out