code: def numberize(self, row):
      numberized_row_tuple = super().numberize(row)
      start_logits = self._get_doc_logits(
          row[self.start_logits_column],
          row[self.pad_mask_column],
          row[self.segment_labels_column],
      )
      end_logits = self._get_doc_logits(
          row[self.end_logits_column],
          row[self.pad_mask_column],
          row[self.segment_labels_column],
      )
      return numberized_row_tuple + (
          start_logits,
          end_logits,
          row[self.has_answer_logits_column],
      )
  
imports: from typing import List
  import torch
  from pytext.common.constants import SpecialTokens
  from pytext.config.component import ComponentType, create_component
  from pytext.data.tensorizers import TokenTensorizer
  from pytext.data.tokenizers import Tokenizer, WordPieceTokenizer
  from pytext.data.utils import pad_and_tensorize, VocabBuilder, Vocabulary
label_desc: Use image node_id 3 for calling the SquadTensorizerForKD obj's underlying member method code with example usage: obj.numberize(row) and returns: unknown