code: def get_tensor_examples(self):
      # For each split, return list of tensorized samples to allow variable length input (batch size = 1)
      return (
          self.tensor_samples["train"],
          self.tensor_samples["dev"],
          self.tensor_samples["test"],
      )
  
imports: import sys
  import os
  import numpy
  import random
  from transformers import T5Tokenizer
  from os.path import join
  import json
  import copy
  import pickle
  import logging
  import torch
  from torch.utils.data import Dataset, DataLoader
  import torch.nn.functional
  import util
label_desc: Use image node_id 2 for calling the NERDataProcessor obj's underlying member method code with example usage: obj.get_tensor_examples() and returns: self,  self,  self