refactor: RL stack refactoring — RLAlgorithm, RLTrainer, DataMixer, and SAC restructuring

This commit is contained in:
Khalil Meftah
2026-04-13 11:39:48 +02:00
parent f90db58c15
commit e022207c75
27 changed files with 2342 additions and 965 deletions

View File

@@ -131,6 +131,15 @@ class _NormalizationMixin:
if self.dtype is None:
self.dtype = torch.float32
self._tensor_stats = to_tensor(self.stats, device=self.device, dtype=self.dtype)
self._reshape_visual_stats()
def _reshape_visual_stats(self) -> None:
"""Reshape visual stats from ``[C]`` to ``[C, 1, 1]`` for image broadcasting."""
for key, feature in self.features.items():
if feature.type == FeatureType.VISUAL and key in self._tensor_stats:
for stat_name, stat_tensor in self._tensor_stats[key].items():
if isinstance(stat_tensor, Tensor) and stat_tensor.ndim == 1:
self._tensor_stats[key][stat_name] = stat_tensor.reshape(-1, 1, 1)
def to(
self, device: torch.device | str | None = None, dtype: torch.dtype | None = None
@@ -149,6 +158,7 @@ class _NormalizationMixin:
if dtype is not None:
self.dtype = dtype
self._tensor_stats = to_tensor(self.stats, device=self.device, dtype=self.dtype)
self._reshape_visual_stats()
return self
def state_dict(self) -> dict[str, Tensor]:
@@ -198,6 +208,7 @@ class _NormalizationMixin:
# Don't load from state_dict, keep the explicitly provided stats
# But ensure _tensor_stats is properly initialized
self._tensor_stats = to_tensor(self.stats, device=self.device, dtype=self.dtype) # type: ignore[assignment]
self._reshape_visual_stats()
return
# Normal behavior: load stats from state_dict
@@ -208,6 +219,7 @@ class _NormalizationMixin:
self._tensor_stats.setdefault(key, {})[stat_name] = tensor.to(
dtype=torch.float32, device=self.device
)
self._reshape_visual_stats()
# Reconstruct the original stats dict from tensor stats for compatibility with to() method
# and other functions that rely on self.stats