191035825a0b453ca11058f43c0beb6024241f5f,tensorforce/models/model.py,Model,observe,#Model#Any#Any#,1094

Before Change

        fetches = self.episode_output

        if batched:
            assert self.batching_capacity is not None and terminal.shape[0] <= self.batching_capacity
            feed_dict = {self.terminal_input: terminal, self.reward_input: reward, }
        else:
            feed_dict = {self.terminal_input: (terminal,), self.reward_input: (reward,)}

        episode = self.monitored_session.run(fetches=fetches, feed_dict=feed_dict)

        return episode

After Change

        fetches = self.episode_output

        feed_dict = self.get_feed_dict(terminal=terminal, reward=reward)

        // if batched:
        //     assert self.batching_capacity is not None and terminal.shape[0] <= self.batching_capacity
        //     feed_dict = {self.terminal_input: terminal, self.reward_input: reward, }

Instances