Spaces:
Configuration error
Configuration error
| Initializing Project Neuro-Flyt 3D Demo (Matplotlib Mode)... | |
| No trained model found. Using untrained Liquid Brain. | |
| Using cpu device | |
| Wrapping the env with a `Monitor` wrapper | |
| Wrapping the env in a DummyVecEnv. | |
| Traceback (most recent call last): | |
| File "/home/ylop/Documents/drone go brr/Drone-go-brrrrr/Drone-go-brrrrr/demo_3d.py", line 72, in <module> | |
| run_demo() | |
| ~~~~~~~~^^ | |
| File "/home/ylop/Documents/drone go brr/Drone-go-brrrrr/Drone-go-brrrrr/demo_3d.py", line 21, in run_demo | |
| model = make_liquid_ppo(env, verbose=1) | |
| File "/home/ylop/Documents/drone go brr/Drone-go-brrrrr/Drone-go-brrrrr/models/liquid_ppo.py", line 67, in make_liquid_ppo | |
| model = PPO( | |
| "MlpPolicy", | |
| ...<9 lines>... | |
| clip_range=0.2, | |
| ) | |
| File "/home/ylop/.local/lib/python3.14/site-packages/stable_baselines3/ppo/ppo.py", line 171, in __init__ | |
| self._setup_model() | |
| ~~~~~~~~~~~~~~~~~^^ | |
| File "/home/ylop/.local/lib/python3.14/site-packages/stable_baselines3/ppo/ppo.py", line 174, in _setup_model | |
| super()._setup_model() | |
| ~~~~~~~~~~~~~~~~~~~~^^ | |
| File "/home/ylop/.local/lib/python3.14/site-packages/stable_baselines3/common/on_policy_algorithm.py", line 135, in _setup_model | |
| self.policy = self.policy_class( # type: ignore[assignment] | |
| ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| self.observation_space, self.action_space, self.lr_schedule, use_sde=self.use_sde, **self.policy_kwargs | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| ) | |
| ^ | |
| File "/home/ylop/.local/lib/python3.14/site-packages/stable_baselines3/common/policies.py", line 507, in __init__ | |
| self.features_extractor = self.make_features_extractor() | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^ | |
| File "/home/ylop/.local/lib/python3.14/site-packages/stable_baselines3/common/policies.py", line 120, in make_features_extractor | |
| return self.features_extractor_class(self.observation_space, **self.features_extractor_kwargs) | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/home/ylop/Documents/drone go brr/Drone-go-brrrrr/Drone-go-brrrrr/models/liquid_ppo.py", line 22, in __init__ | |
| wiring = AutoNCP(features_dim, output_size=features_dim) | |
| File "/home/ylop/.local/lib/python3.14/site-packages/ncps/wirings/wirings.py", line 622, in __init__ | |
| raise ValueError( | |
| f"Output size must be less than the number of units-2 (given {units} units, {output_size} output size)" | |
| ) | |
| ValueError: Output size must be less than the number of units-2 (given 32 units, 32 output size) | |