lit_sb3.callbacks.raw_statistics
[docs]
module
lit_sb3.callbacks.raw_statistics
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27 | """RawStatisticsCallback — logs raw per-episode data through SummaryWriter."""
from __future__ import annotations
from lit_sb3.callbacks.base import BaseCallback
class RawStatisticsCallback(BaseCallback):
"""Callback for logging raw per-episode returns and lengths to TensorBoard.
Requires TensorBoard logging to be active. The callback bypasses
Lightning's default log-throttling so that every episode is recorded.
"""
def __init__(self, verbose: int = 0) -> None:
super().__init__(verbose)
self._timesteps_counter = 0
def _on_step(self) -> bool:
for info in self.locals.get("infos", []):
writer = self.summary_writer
if "episode" in info and writer is not None:
self._timesteps_counter += info["episode"]["l"]
writer.add_scalar("raw/rollouts/episodic_return", info["episode"]["r"], self._timesteps_counter)
writer.add_scalar("raw/rollouts/episodic_length", info["episode"]["l"], self._timesteps_counter)
writer.flush()
return True
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