2298f6fb40cb6d348b5b48593c93cdd58ddd1f29,rllib/execution/replay_ops.py,StoreToReplayBuffer,__call__,#StoreToReplayBuffer#Any#,33

Before Change



    def __call__(self, batch: SampleBatchType):
        // Handle everything as if multiagent
        if isinstance(batch, SampleBatch):
            batch = MultiAgentBatch({DEFAULT_POLICY_ID: batch}, batch.count)

        for policy_id, s in batch.policy_batches.items():
            for row in s.rows():
                self.replay_buffers[policy_id].add(
                    pack_if_needed(row["obs"]),

After Change


            self.local_actor.add_batch(batch)
        else:
            actor = random.choice(self.replay_actors)
            actor.add_batch.remote(batch)
        return batch


def Replay(*,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: ray-project/ray
Commit Name: 2298f6fb40cb6d348b5b48593c93cdd58ddd1f29
Time: 2020-04-23
Author: ekhliang@gmail.com
File Name: rllib/execution/replay_ops.py
Class Name: StoreToReplayBuffer
Method Name: __call__


Project Name: ray-project/ray
Commit Name: 786f12edfd3ba9850548d7752971cbe503bb64eb
Time: 2020-09-04
Author: ed.nmi.oakes@gmail.com
File Name: python/ray/serve/api.py
Class Name:
Method Name: get_handle


Project Name: ray-project/ray
Commit Name: 7a78f4e95960bf8560b0547802f171e2b40e4f6b
Time: 2021-01-26
Author: zhisbug@users.noreply.github.com
File Name: python/ray/util/collective/tests/util.py
Class Name:
Method Name: create_collective_workers