Error with Tensors after start game

[Sebastianaplikacja]

Warning: Gym version v0.24.0 has a number of critical issues with gym.make such that the reset and step functions are called before returning the environment. It is recommend to downgrading to v0.23.1 or upgrading to v0.25.1
C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\win32\lib\pywintypes.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp, sys, os
WARNING: The Scoreboard object overwrites the inverted ball ang.vel. to include scoreboard, make sure you're not using that and instead inverting on your own. Call it in your obs builder's pre-step method to use.
Started worker 1498d56a-1f7b-44a0-b770-6d965ef7d0f9 on host 127.0.0.1 under name test
Launching Rocket League, make sure bakkesmod is running.
Launched Epic version
Executing injector...
Scanning processes
Found 2 processes
Done
Generating rollout with versions: ['-29 (0.00±2.00)', '-29 (0.00±2.00)', '-29 (0.00±2.00)', '-29 (0.00±2.00)', '-29 (0.00±2.00)', '-29 (0.00±2.00)']
Index 2 is out of range for self.replay_setters
Problem Detected. Killing Worker...
Traceback (most recent call last):
File "worker.py", line 156, in
main()
File "worker.py", line 149, in main
worker.run()
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\rocket_learn\rollout_generator\redis\redis_rollout_worker.py", line 346, in run
Rocket League (64-bit, DX11, Cooked) (1654354) is now hidden
rollouts, result = rocket_learn.utils.generate_episode.generate_episode(self.env, agents,
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\rocket_learn\utils\generate_episode.py", line 70, in generate_episode
dist = policy.get_action_distribution(obs)
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\rocket_learn\agent\discrete_policy.py", line 42, in get_action_distribution
logits = th.Tensor(self(obs))
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\rocket_learn\agent\discrete_policy.py", line 19, in forward
logits = self.net(obs)
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\maciej\AppData\Local\necto2\venv\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
TypeError: linear(): argument 'input' (position 1) must be Tensor, not tuple
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