code: def __init__(
      self,
      bc_net: ModelBase,
      optimizer: Optimizer__Union = field(  # noqa: B008
          default_factory=Optimizer__Union.default
      ),
  ) -> None:
      super().__init__()
      self.bc_net = bc_net
      self.loss_fn = torch.nn.CrossEntropyLoss(reduction="mean")
      self.optimizer = optimizer
  
file_path: ReAgent/reagent/training/behavioral_cloning_trainer.py
imports: import logging
  import reagent.core.types
  import torch
  from reagent.core.dataclasses import field
  from reagent.models.base import ModelBase
  from reagent.optimizer.union import Optimizer__Union
  from reagent.training.reagent_lightning_module import ReAgentLightningModule
label_desc: Use image node_id 1 to create a new BehavioralCloningTrainer object from inherited base classes: ReAgentLightningModule with example: obj = BehavioralCloningTrainer(bc_net, optimizer)