code: def postprocess_evalai_entry(self, entry):
      return entry
  
file_path: mmf/mmf/datasets/builders/textvqa/dataset.py
imports: import numpy
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.mmf_dataset import MMFDataset
  from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
  from mmf.utils.text import word_tokenize
label_desc: Use image node_id 3 for calling the TextVQADataset obj's underlying member method code with example usage: obj.postprocess_evalai_entry(entry) and returns: entry