code: def _forward_train(self, batch):
      return self._common_forward(batch)
  
imports: import tensorflow
  from typing import Any, Mapping
  from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleConfig
  from ray.rllib.models.tf.tf_distributions import TfCategorical
  from ray.rllib.core.rl_module.marl_module import MultiAgentRLModule, MultiAgentRLModuleConfig
  from ray.rllib.core.rl_module.tf.tf_rl_module import TfRLModule
  from ray.rllib.core.models.specs.typing import SpecType
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.nested_dict import NestedDict
label_desc: Use image node_id 5 for calling the BCTfRLModuleWithSharedGlobalEncoder obj's underlying member method code with example usage: obj._forward_train(batch) and returns: self