changed path to torch bc module

ml-agents/mlagents/trainers/optimizer/torch_optimizer.py

 from mlagents_envs.base_env import DecisionSteps
 
 from mlagents.trainers.buffer import AgentBuffer
-from mlagents.trainers.components.bc.module_torch import TorchBCModule
+from mlagents.trainers.torch.components.bc.module import BCModule
 from mlagents.trainers.components.reward_signals.extrinsic.signal import (
     ExtrinsicRewardSignal,
 )
         self.memory_out: torch.Tensor = None
         self.m_size: int = 0
         self.global_step = torch.tensor(0)
-        self.bc_module: Optional[TorchBCModule] = None
+        self.bc_module: Optional[BCModule] = None
-            self.bc_module = TorchBCModule(
+            self.bc_module = BCModule(
-                default_batch_size=trainer_settings.hyperparameters.batch_size,
-                default_num_epoch=3,
             )
 
     def update(self, batch: AgentBuffer, num_sequences: int) -> Dict[str, float]:

ml-agents/mlagents/trainers/torch/components/bc/module.py

 from mlagents.trainers.torch.utils import ModelUtils
 
 
-class TorchBCModule:
+class BCModule:
-        default_batch_size: int,
-        default_num_epoch: int,
     ):
         """
         A BC trainer that can be used inline with RL.