tensorflow/models · error · ValueError

If `use_dynamic_slicing` is True, `max_sequence_length` must

Error message

If `use_dynamic_slicing` is True, `max_sequence_length` must be set.

What it means

Error "If `use_dynamic_slicing` is True, `max_sequence_length` must be set." thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/networks/packed_sequence_embedding.py:226

      "glorot_uniform".
    use_dynamic_slicing: Whether to use the dynamic slicing path.
    max_sequence_length: The maximum size of the dynamic sequence. Only
      applicable if `use_dynamic_slicing` is True.
  """

  def __init__(self,
               initializer='glorot_uniform',
               use_dynamic_slicing=False,
               max_sequence_length=None,
               **kwargs):
    # We need to have a default dtype of float32, since the inputs (which Keras
    # usually uses to infer the dtype) will always be int32.
    if 'dtype' not in kwargs:
      kwargs['dtype'] = 'float32'

    super().__init__(**kwargs)
    if use_dynamic_slicing and max_sequence_length is None:
      raise ValueError(
          'If `use_dynamic_slicing` is True, `max_sequence_length` must be set.'
      )
    self._max_sequence_length = max_sequence_length
    self._initializer = tf_keras.initializers.get(initializer)
    self._use_dynamic_slicing = use_dynamic_slicing

  def get_config(self):
    config = {
        'max_sequence_length': self._max_sequence_length,
        'initializer': tf_keras.initializers.serialize(self._initializer),
        'use_dynamic_slicing': self._use_dynamic_slicing,
    }
    base_config = super().get_config()
    return dict(list(base_config.items()) + list(config.items()))

  def build(self, input_shape):
    """Implements build() for the layer."""
    dimension_list = input_shape.as_list()

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/networks/packed_sequence_embedding.py:226 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/339c0f488cc572ba. Report an issue: GitHub.