docstr: BC forward pass during training.
  
  See the `BCTorchRLModule._forward_exploration` method for
  implementation details.
docstr_tok: ["BC","forward","pass","during","training",".","See","the","`","BCTorchRLModule._forward_exploration","`","method","for","implementation","details","."]
code: def _forward_train(
      self, batch: NestedDict, **kwargs
  ) -> Dict[str, Any]:
      """BC forward pass during training.
  
      See the `BCTorchRLModule._forward_exploration` method for
      implementation details.
      """
      return self._forward_exploration(batch)
  
imports: import abc
  from typing import Any, Dict, List, Type, Union
  from ray.rllib.core.models.base import ENCODER_OUT, STATE_OUT
  from ray.rllib.core.models.specs.typing import SpecType
  from ray.rllib.core.rl_module.rl_module import RLModule
  from ray.rllib.models.distributions import Distribution
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.annotations import ExperimentalAPI, override
  from ray.rllib.utils.nested_dict import NestedDict
  from ray.rllib.utils.typing import TensorType
label_desc: Use image node_id 11 for calling the BCRLModule obj's underlying member method code with example usage: obj._forward_train(batch) and returns: self