code: def preprocess_text(self, sample_list) -> Tuple:
      text = transform_to_batch_sequence(sample_list.input_ids)
      mask = transform_to_batch_sequence(sample_list.input_mask)
      segment = transform_to_batch_sequence(sample_list.segment_ids)
  
      return (text, mask, segment)
  
imports: import math
  from copy import deepcopy
  from dataclasses import dataclass
  from typing import Any, Tuple
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.encoders import IdentityEncoder
  from mmf.modules.layers import AttnPool1d
  from mmf.utils.build import build_classifier_layer, build_image_encoder, build_text_encoder
  from mmf.utils.general import filter_grads
  from mmf.utils.modeling import get_bert_configured_parameters
  from mmf.utils.transform import transform_to_batch_sequence
  from omegaconf import MISSING
label_desc: Use image node_id 5 for calling the CMSharedTransformer obj's underlying member method code with example usage: obj.preprocess_text(sample_list) and returns: text,  mask,  segment