tensorflow/models · error · ValueError

`local_radius` must be positive.

Error message

`local_radius` must be positive.

What it means

Error "`local_radius` must be positive." thrown in tensorflow/models.

Source

Thrown at official/projects/triviaqa/inputs.py:330

    Args:
      seq_len: The sequence length to create ids for. Must be positive. If a
        Tensor, must be a scalar int.
      local_radius: The local radius as expected by
        `layers.RelativeLocalSelfAttention`. Must be positive.
      batch_size: The batch size of the result (default 1). Must be positive. If
        a Tensor, must be a scalar int. All examples in the batch will have the
        same id pattern.
      name: A name for the operation (optional).

    Returns:
      <int32>[batch_size, seq_len, 2*local_radius + 1] Tensor of relative
      position ids.
    """
    with tf.name_scope(name or 'make_local_relative_att_ids'):
      if isinstance(seq_len, int) and seq_len < 1:
        raise ValueError('`seq_len` must be positive.')
      if local_radius < 1:
        raise ValueError('`local_radius` must be positive.')
      if isinstance(batch_size, int) and batch_size < 1:
        raise ValueError('`batch_size` must be positive.')

      window_size = 2 * local_radius + 1

      # [window_size]
      id_pattern = self._make_relative_id_pattern(window_size)

      return tf.tile(id_pattern[tf.newaxis, tf.newaxis, :],
                     [batch_size, seq_len, 1])

  def _make_relative_id_pattern(
      self, window_size: Union[int, tf.Tensor]) -> tf.Tensor:
    """Helper for making the relative id pattern for a particular window size.

    For example, if `max_distance` is 3, `ignore_direction` is False, and
    `window_size` is 11, the result is the following:
    [6, 6, 6, 5, 4, 0, 1, 2, 3, 3, 3].

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/triviaqa/inputs.py:330 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/adfce21e84db0d59. Report an issue: GitHub.