code: def forward(
      self,
      batch_idx: int,
      batch: tensor_dict_type,
      state: Optional["TrainerState"] = None,
      **kwargs: Any,
  ) -> tensor_dict_type:
      generated_ids = super().model_forward(batch)
      return {PREDICTIONS_KEY: generated_ids}
  
file_path: carefree-learn/cflearn/models/nlp/transformers/opus.py
imports: from typing import Any
  from typing import Optional
  from cftool.types import np_dict_type
  from cftool.types import tensor_dict_type
  from .core import HuggingFaceModel
  from ....types import texts_type
  from ....schema import TrainerState
  from ....constants import PREDICTIONS_KEY
label_desc: Use image node_id 2 for calling the OPUSBase obj's underlying member method code with example usage: obj.forward(batch_idx, batch, state) and returns: dict