tensorflow/models · error · ValueError

All inputs for packing must have the same known rank, found

Error message

All inputs for packing must have the same known rank, found ranks %s

What it means

Error "All inputs for packing must have the same known rank, found ranks %s" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/text_layers.py:567

        truncator=self.truncator)

  @staticmethod
  def bert_pack_inputs(inputs: Union[tf.RaggedTensor, List[tf.RaggedTensor]],
                       seq_length: Union[int, tf.Tensor],
                       start_of_sequence_id: Union[int, tf.Tensor],
                       end_of_segment_id: Union[int, tf.Tensor],
                       padding_id: Union[int, tf.Tensor],
                       truncator="round_robin"):
    """Freestanding equivalent of the BertPackInputs layer."""
    _check_if_tf_text_installed()
    # Sanitize inputs.
    if not isinstance(inputs, (list, tuple)):
      inputs = [inputs]
    if not inputs:
      raise ValueError("At least one input is required for packing")
    input_ranks = [rt.shape.rank for rt in inputs]
    if None in input_ranks or len(set(input_ranks)) > 1:
      raise ValueError("All inputs for packing must have the same known rank, "
                       "found ranks " + ",".join(input_ranks))
    # Flatten inputs to [batch_size, (tokens)].
    if input_ranks[0] > 2:
      inputs = [rt.merge_dims(1, -1) for rt in inputs]
    # In case inputs weren't truncated (as they should have been),
    # fall back to some ad-hoc truncation.
    num_special_tokens = len(inputs) + 1
    if truncator == "round_robin":
      trimmed_segments = text.RoundRobinTrimmer(seq_length -  # pyrefly: ignore[missing-attribute]
                                                num_special_tokens).trim(inputs)
    elif truncator == "waterfall":
      trimmed_segments = text.WaterfallTrimmer(  # pyrefly: ignore[missing-attribute]
          seq_length - num_special_tokens).trim(inputs)
    else:
      raise ValueError("Unsupported truncator: %s" % truncator)
    # Combine segments.
    segments_combined, segment_ids = text.combine_segments(  # pyrefly: ignore[missing-attribute]
        trimmed_segments,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/text_layers.py:567 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/d06792028b64bbe6. Report an issue: GitHub.