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ray-project--ray/rllib/utils/replay_buffers/fifo_replay_buffer.py
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2026-07-13 13:17:40 +08:00

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Python

from typing import Any, Dict, Optional
import numpy as np
from ray.rllib.policy.sample_batch import MultiAgentBatch
from ray.rllib.utils.annotations import override
from ray.rllib.utils.replay_buffers.replay_buffer import ReplayBuffer, StorageUnit
from ray.rllib.utils.typing import SampleBatchType
from ray.util.annotations import DeveloperAPI
@DeveloperAPI
class FifoReplayBuffer(ReplayBuffer):
"""This replay buffer implements a FIFO queue.
Sometimes, e.g. for offline use cases, it may be desirable to use
off-policy algorithms without a Replay Buffer.
This FifoReplayBuffer can be used in-place to achieve the same effect
without having to introduce separate algorithm execution branches.
For simplicity and efficiency reasons, this replay buffer stores incoming
sample batches as-is, and returns them one at time.
This is to avoid any additional load when this replay buffer is used.
"""
def __init__(self, *args, **kwargs):
"""Initializes a FifoReplayBuffer.
Args:
``*args`` : Forward compatibility args.
``**kwargs``: Forward compatibility kwargs.
"""
# Completely by-passing underlying ReplayBuffer by setting its
# capacity to 1 (lowest allowed capacity).
ReplayBuffer.__init__(self, 1, StorageUnit.FRAGMENTS, **kwargs)
self._queue = []
@DeveloperAPI
@override(ReplayBuffer)
def add(self, batch: SampleBatchType, **kwargs) -> None:
return self._queue.append(batch)
@DeveloperAPI
@override(ReplayBuffer)
def sample(self, *args, **kwargs) -> Optional[SampleBatchType]:
"""Sample a saved training batch from this buffer.
Args:
``*args`` : Forward compatibility args.
``**kwargs``: Forward compatibility kwargs.
Returns:
A single training batch from the queue.
"""
if len(self._queue) <= 0:
# Return empty SampleBatch if queue is empty.
return MultiAgentBatch({}, 0)
batch = self._queue.pop(0)
# Equal weights of 1.0.
batch["weights"] = np.ones(len(batch))
return batch
@DeveloperAPI
def update_priorities(self, *args, **kwargs) -> None:
"""Update priorities of items at given indices.
No-op for this replay buffer.
Args:
``*args`` : Forward compatibility args.
``**kwargs``: Forward compatibility kwargs.
"""
pass
@DeveloperAPI
@override(ReplayBuffer)
def stats(self, debug: bool = False) -> Dict:
"""Returns the stats of this buffer.
Args:
debug: If true, adds sample eviction statistics to the returned stats dict.
Returns:
A dictionary of stats about this buffer.
"""
# As if this replay buffer has never existed.
return {}
@DeveloperAPI
@override(ReplayBuffer)
def get_state(self) -> Dict[str, Any]:
"""Returns all local state.
Returns:
The serializable local state.
"""
# Pass through replay buffer does not save states.
return {}
@DeveloperAPI
@override(ReplayBuffer)
def set_state(self, state: Dict[str, Any]) -> None:
"""Restores all local state to the provided `state`.
Args:
state: The new state to set this buffer. Can be obtained by calling
`self.get_state()`.
"""
pass