tensorflow/models · error · NotImplementedError

TODO(b/170480226): implement

Error message

TODO(b/170480226): implement

What it means

Error "TODO(b/170480226): implement" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/text_layers.py:177

      values = rt.values
      row_splits = rt.row_splits
      row_splits = tf.reshape(row_splits, [batch_size + 1])
      return tf.RaggedTensor.from_row_splits(values, row_splits)

    # Call the tokenizer.
    if self.tokenize_with_offsets:
      tokens, start_offsets, limit_offsets = (
          self._bert_tokenizer.tokenize_with_offsets(inputs))
      tokens = tf.cast(tokens, dtype=tf.int32)
      return _reshape(tokens), _reshape(start_offsets), _reshape(limit_offsets)
    else:
      tokens = self._bert_tokenizer.tokenize(inputs)
      tokens = tf.cast(tokens, dtype=tf.int32)
      return _reshape(tokens)

  def get_config(self):
    # Skip in tf.saved_model.save(); fail if called direcly.
    raise NotImplementedError("TODO(b/170480226): implement")

  def get_special_tokens_dict(self):
    """Returns dict of token ids, keyed by standard names for their purpose.

    Returns:
      A dict from Python strings to Python integers. Each key is a standard
      name for a special token describing its use. (For example, "padding_id"
      is what BERT traditionally calls "[PAD]" but others may call "<pad>".)
      The corresponding value is the integer token id. If a special token
      is not found, its entry is omitted from the dict.

      The supported keys and tokens are:
        * start_of_sequence_id: looked up from "[CLS]"
        * end_of_segment_id: looked up from "[SEP]"
        * padding_id: looked up form "[PAD]"
        * mask_id: looked up from "[MASK]"
        * vocab_size: one past the largest token id used
    """

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/text_layers.py:177 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/38f28bfe54bbb9cc. Report an issue: GitHub.