diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
index c02a185b3..af95ae972 100644
--- a/docs/misc/changelog.rst
+++ b/docs/misc/changelog.rst
@@ -14,6 +14,7 @@ New Features:
^^^^^^^^^^^^^
- Added ``has_attr`` method for ``VecEnv`` to check if an attribute exists
- Added ``LogEveryNTimesteps`` callback to dump logs every N timesteps (note: you need to pass ``log_interval=None`` to avoid any interference)
+- Speed up handling of terminal observations, only the env with finished episodes are checked (the speed up will be noticable on massively parallel env)
- Added Gymnasium v1.1 support
Bug Fixes:
diff --git a/stable_baselines3/common/off_policy_algorithm.py b/stable_baselines3/common/off_policy_algorithm.py
index a2df272d7..0c2582713 100644
--- a/stable_baselines3/common/off_policy_algorithm.py
+++ b/stable_baselines3/common/off_policy_algorithm.py
@@ -473,8 +473,8 @@ def _store_transition(
next_obs = deepcopy(new_obs_)
# As the VecEnv resets automatically, new_obs is already the
# first observation of the next episode
- for i, done in enumerate(dones):
- if done and infos[i].get("terminal_observation") is not None:
+ for i in dones.nonzero()[0]:
+ if infos[i].get("terminal_observation") is not None:
if isinstance(next_obs, dict):
next_obs_ = infos[i]["terminal_observation"]
# VecNormalize normalizes the terminal observation
@@ -582,19 +582,18 @@ def collect_rollouts(
# see https://github.com/hill-a/stable-baselines/issues/900
self._on_step()
- for idx, done in enumerate(dones):
- if done:
- # Update stats
- num_collected_episodes += 1
- self._episode_num += 1
+ for idx in dones.nonzero()[0]:
+ # Update stats
+ num_collected_episodes += 1
+ self._episode_num += 1
- if action_noise is not None:
- kwargs = dict(indices=[idx]) if env.num_envs > 1 else {}
- action_noise.reset(**kwargs)
+ if action_noise is not None:
+ kwargs = dict(indices=[idx]) if env.num_envs > 1 else {}
+ action_noise.reset(**kwargs)
- # Log training infos
- if log_interval is not None and self._episode_num % log_interval == 0:
- self.dump_logs()
+ # Log training infos
+ if log_interval is not None and self._episode_num % log_interval == 0:
+ self.dump_logs()
callback.on_rollout_end()
return RolloutReturn(num_collected_steps * env.num_envs, num_collected_episodes, continue_training)
diff --git a/stable_baselines3/common/on_policy_algorithm.py b/stable_baselines3/common/on_policy_algorithm.py
index 0db5ce5d5..ba5b30a9f 100644
--- a/stable_baselines3/common/on_policy_algorithm.py
+++ b/stable_baselines3/common/on_policy_algorithm.py
@@ -233,12 +233,8 @@ def collect_rollouts(
# Handle timeout by bootstrapping with value function
# see GitHub issue #633
- for idx, done in enumerate(dones):
- if (
- done
- and infos[idx].get("terminal_observation") is not None
- and infos[idx].get("TimeLimit.truncated", False)
- ):
+ for idx in dones.nonzero()[0]:
+ if infos[idx].get("terminal_observation") is not None and infos[idx].get("TimeLimit.truncated", False):
terminal_obs = self.policy.obs_to_tensor(infos[idx]["terminal_observation"])[0]
with th.no_grad():
terminal_value = self.policy.predict_values(terminal_obs)[0] # type: ignore[arg-type]
diff --git a/stable_baselines3/common/vec_env/stacked_observations.py b/stable_baselines3/common/vec_env/stacked_observations.py
index d1b3ad298..cd1d212f6 100644
--- a/stable_baselines3/common/vec_env/stacked_observations.py
+++ b/stable_baselines3/common/vec_env/stacked_observations.py
@@ -148,28 +148,27 @@ def update(
# From {key1: [{}, {terminal_obs: ...}], key2: [{}, {terminal_obs: ...}]}
# to [{}, {terminal_obs: {key1: ..., key2: ...}}]
- for key in stacked_infos.keys():
- for env_idx in range(len(infos)):
- if "terminal_observation" in infos[env_idx]:
+ for env_idx in dones.nonzero()[0]:
+ if "terminal_observation" in infos[env_idx]:
+ for key in stacked_infos.keys():
infos[env_idx]["terminal_observation"][key] = stacked_infos[key][env_idx]["terminal_observation"]
return stacked_obs, infos
shift = -observations.shape[self.stack_dimension]
self.stacked_obs = np.roll(self.stacked_obs, shift, axis=self.stack_dimension)
- for env_idx, done in enumerate(dones):
- if done:
- if "terminal_observation" in infos[env_idx]:
- old_terminal = infos[env_idx]["terminal_observation"]
- if self.channels_first:
- previous_stack = self.stacked_obs[env_idx, :shift, ...]
- else:
- previous_stack = self.stacked_obs[env_idx, ..., :shift]
-
- new_terminal = np.concatenate((previous_stack, old_terminal), axis=self.repeat_axis)
- infos[env_idx]["terminal_observation"] = new_terminal
+ for env_idx in dones.nonzero()[0]:
+ if "terminal_observation" in infos[env_idx]:
+ old_terminal = infos[env_idx]["terminal_observation"]
+ if self.channels_first:
+ previous_stack = self.stacked_obs[env_idx, :shift, ...]
else:
- warnings.warn("VecFrameStack wrapping a VecEnv without terminal_observation info")
- self.stacked_obs[env_idx] = 0
+ previous_stack = self.stacked_obs[env_idx, ..., :shift]
+
+ new_terminal = np.concatenate((previous_stack, old_terminal), axis=self.repeat_axis)
+ infos[env_idx]["terminal_observation"] = new_terminal
+ else:
+ warnings.warn("VecFrameStack wrapping a VecEnv without terminal_observation info")
+ self.stacked_obs[env_idx] = 0
if self.channels_first:
self.stacked_obs[:, shift:, ...] = observations
else:
diff --git a/stable_baselines3/common/vec_env/vec_monitor.py b/stable_baselines3/common/vec_env/vec_monitor.py
index 4aa9325f6..b578f1612 100644
--- a/stable_baselines3/common/vec_env/vec_monitor.py
+++ b/stable_baselines3/common/vec_env/vec_monitor.py
@@ -77,21 +77,20 @@ def step_wait(self) -> VecEnvStepReturn:
self.episode_returns += rewards
self.episode_lengths += 1
new_infos = list(infos[:])
- for i in range(len(dones)):
- if dones[i]:
- info = infos[i].copy()
- episode_return = self.episode_returns[i]
- episode_length = self.episode_lengths[i]
- episode_info = {"r": episode_return, "l": episode_length, "t": round(time.time() - self.t_start, 6)}
- for key in self.info_keywords:
- episode_info[key] = info[key]
- info["episode"] = episode_info
- self.episode_count += 1
- self.episode_returns[i] = 0
- self.episode_lengths[i] = 0
- if self.results_writer:
- self.results_writer.write_row(episode_info)
- new_infos[i] = info
+ for i in dones.nonzero()[0]:
+ info = infos[i].copy()
+ episode_return = self.episode_returns[i]
+ episode_length = self.episode_lengths[i]
+ episode_info = {"r": episode_return, "l": episode_length, "t": round(time.time() - self.t_start, 6)}
+ for key in self.info_keywords:
+ episode_info[key] = info[key]
+ info["episode"] = episode_info
+ self.episode_count += 1
+ self.episode_returns[i] = 0
+ self.episode_lengths[i] = 0
+ if self.results_writer:
+ self.results_writer.write_row(episode_info)
+ new_infos[i] = info
return obs, rewards, dones, new_infos
def close(self) -> None:
diff --git a/stable_baselines3/common/vec_env/vec_normalize.py b/stable_baselines3/common/vec_env/vec_normalize.py
index 439243f9f..ed39fa08b 100644
--- a/stable_baselines3/common/vec_env/vec_normalize.py
+++ b/stable_baselines3/common/vec_env/vec_normalize.py
@@ -197,9 +197,7 @@ def step_wait(self) -> VecEnvStepReturn:
rewards = self.normalize_reward(rewards)
# Normalize the terminal observations
- for idx, done in enumerate(dones):
- if not done:
- continue
+ for idx in dones.nonzero()[0]:
if "terminal_observation" in infos[idx]:
infos[idx]["terminal_observation"] = self.normalize_obs(infos[idx]["terminal_observation"])
diff --git a/stable_baselines3/common/vec_env/vec_transpose.py b/stable_baselines3/common/vec_env/vec_transpose.py
index 3fade64d1..0f3ba30ed 100644
--- a/stable_baselines3/common/vec_env/vec_transpose.py
+++ b/stable_baselines3/common/vec_env/vec_transpose.py
@@ -97,9 +97,7 @@ def step_wait(self) -> VecEnvStepReturn:
observations, rewards, dones, infos = self.venv.step_wait()
# Transpose the terminal observations
- for idx, done in enumerate(dones):
- if not done:
- continue
+ for idx in dones.nonzero()[0]:
if "terminal_observation" in infos[idx]:
infos[idx]["terminal_observation"] = self.transpose_observations(infos[idx]["terminal_observation"])
diff --git a/stable_baselines3/her/her_replay_buffer.py b/stable_baselines3/her/her_replay_buffer.py
index e914c7ec0..e801ef733 100644
--- a/stable_baselines3/her/her_replay_buffer.py
+++ b/stable_baselines3/her/her_replay_buffer.py
@@ -162,9 +162,8 @@ def add( # type: ignore[override]
super().add(obs, next_obs, action, reward, done, infos)
# When episode ends, compute and store the episode length
- for env_idx in range(self.n_envs):
- if done[env_idx]:
- self._compute_episode_length(env_idx)
+ for env_idx in done.nonzero()[0]:
+ self._compute_episode_length(env_idx)
def _compute_episode_length(self, env_idx: int) -> None:
"""