envs = Gymnasium2Torch(envs, device) error

[hyfqphy]

when i run [0 quick_start.ipynb]: An error occurred in envs = Gymnasium2Torch(envs, device)`

`---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
Cell In[13], line 8
6 envs = gym.vector.AsyncVectorEnv([FakeAtari for _ in range(n_envs)])
7 # wrap the environments to convert the observations to torch tensors
----> 8 envs = Gymnasium2Torch(envs, device)
9 # create the intrinsic reward module
10 irs = ICM(envs, device)

File /opt/anaconda3/envs/rllte/lib/python3.8/site-packages/rllte/env/utils.py:128, in Gymnasium2Torch.init(self, env, device, envpool)
127 def init(self, env: VectorEnv, device: str, envpool: bool = False) -> None:
--> 128 super().init(env)
129 self.num_envs = env.unwrapped.num_envs
130 self.device = th.device(device)

File /opt/anaconda3/envs/rllte/lib/python3.8/site-packages/gymnasium/core.py:310, in Wrapper.init(self, env)
304 """Wraps an environment to allow a modular transformation of the :meth:step and :meth:reset methods.
305
306 Args:
307 env: The environment to wrap
308 """
309 self.env = env
--> 310 assert isinstance(env, Env)
312 self._action_space: spaces.Space[WrapperActType] | None = None
313 self._observation_space: spaces.Space[WrapperObsType] | None = None

AssertionError:`

[friedrichyuan]

can u provide the versions of your gym and gymnasium?

[hyfqphy]

gym==0.26.2
gym-notices==0.0.8
gymnasium==1.0.0
in my python env

[friedrichyuan]

try gymnasium 0.28.1, 1.0.0 is too high