fix environment seeding

lerobot/common/envs/abstract.py

@@ -4,6 +4,8 @@ from typing import Optional
 from tensordict import TensorDict
 from torchrl.envs import EnvBase
 
+from lerobot.common.utils import set_seed
+
 
 class AbstractEnv(EnvBase):
     def __init__(
@@ -34,7 +36,13 @@ class AbstractEnv(EnvBase):
 
         self._make_env()
         self._make_spec()
-        self._current_seed = self.set_seed(seed)
+
+        # self._next_seed will be used for the next reset. It is recommended that when self.set_seed is called
+        # you store the return value in self._next_seed (it will be a new randomly generated seed).
+        self._next_seed = seed
+        # Don't store the result of this in self._next_seed, as we want to make sure that the first time
+        # self._reset is called, we use seed.
+        self.set_seed(seed)
 
         if self.num_prev_obs > 0:
             self._prev_obs_image_queue = deque(maxlen=self.num_prev_obs)
@@ -59,4 +67,4 @@ class AbstractEnv(EnvBase):
         raise NotImplementedError("Abstract method")
 
     def _set_seed(self, seed: Optional[int]):
-        raise NotImplementedError("Abstract method")
+        set_seed(seed)

lerobot/common/envs/aloha/env.py

@@ -126,9 +126,8 @@ class AlohaEnv(AbstractEnv):
             logging.warning(f"{self.__class__.__name__}._reset ignores the provided tensordict.")
             AlohaEnv._reset_warning_issued = True
 
-        # we need to handle seed iteration, since self._env.reset() rely an internal _seed.
-        self._current_seed += 1
-        self.set_seed(self._current_seed)
+        # Seed the environment and update the seed to be used for the next reset.
+        self._next_seed = self.set_seed(self._next_seed)
 
         # TODO(rcadene): do not use global variable for this
         if "sim_transfer_cube" in self.task:
@@ -137,8 +136,6 @@ class AlohaEnv(AbstractEnv):
             BOX_POSE[0] = np.concatenate(sample_insertion_pose())  # used in sim reset
 
         raw_obs = self._env.reset()
-        # TODO(rcadene): add assert
-        # assert self._current_seed == self._env._seed
 
         obs = self._format_raw_obs(raw_obs.observation)
 

lerobot/common/envs/pusht/env.py

@@ -106,11 +106,9 @@ class PushtEnv(AbstractEnv):
             logging.warning(f"{self.__class__.__name__}._reset ignores the provided tensordict.")
             PushtEnv._reset_warning_issued = True
 
-        # we need to handle seed iteration, since self._env.reset() rely an internal _seed.
-        self._current_seed += 1
-        self.set_seed(self._current_seed)
+        # Seed the environment and update the seed to be used for the next reset.
+        self._next_seed = self.set_seed(self._next_seed)
         raw_obs = self._env.reset()
-        assert self._current_seed == self._env._seed
 
         obs = self._format_raw_obs(raw_obs)
 
@@ -239,5 +237,7 @@ class PushtEnv(AbstractEnv):
         )
 
     def _set_seed(self, seed: Optional[int]):
+        # Set global seed.
         set_seed(seed)
+        # Set PushTImageEnv seed as it relies on it's own internal _seed attribute.
         self._env.seed(seed)