code: def __init__(
      self,
      *args,
      eval_examples=None,
      post_process_function=None,
      **kwargs,
  ):
      super().__init__(*args, **kwargs)
      self.eval_examples = eval_examples
      self.post_process_function = post_process_function
  
file_path: lightseq/examples/training/huggingface/bert/task_qa/trainer_gcq_qa.py
imports: from transformers import is_torch_tpu_available
  from examples.training.huggingface.gcq import LSTrainer
  from transformers.trainer_utils import PredictionOutput
label_desc: Use image node_id 1 to create a new QuestionAnsweringTrainer object from inherited base classes: LSTrainer with example: obj = QuestionAnsweringTrainer()