tensorflow/models · error · ValueError

`threshold` must be sorted, got {}

Error message

`threshold` must be sorted, got {}

What it means

Error "`threshold` must be sorted, got {}" thrown in tensorflow/models.

Source

Thrown at official/vision/ops/box_matcher.py:69

    Args:
      thresholds: A list of thresholds to classify the matches into different
        types (e.g. positive or negative or ignored match). The list needs to be
        sorted, and will be prepended with -Inf and appended with +Inf.
      indicators: A list of values representing match types (e.g. positive or
        negative or ignored match). len(`indicators`) must equal to
        len(`thresholds`) + 1.
      force_match_for_each_col: If True, ensures that each column is matched to
        at least one row (which is not guaranteed otherwise if the
        positive_threshold is high). Defaults to False. If True, all force
        matched row will be assigned to `indicators[-1]`.

    Raises:
      ValueError: If `threshold` not sorted,
        or len(indicators) != len(threshold) + 1
    """
    if not all([lo <= hi for (lo, hi) in zip(thresholds[:-1], thresholds[1:])]):
      raise ValueError('`threshold` must be sorted, got {}'.format(thresholds))
    self.indicators = indicators
    if len(indicators) != len(thresholds) + 1:
      raise ValueError('len(`indicators`) must be len(`thresholds`) + 1, got '
                       'indicators {}, thresholds {}'.format(
                           indicators, thresholds))
    thresholds = thresholds[:]
    thresholds.insert(0, -float('inf'))
    thresholds.append(float('inf'))
    self.thresholds = thresholds
    self._force_match_for_each_col = force_match_for_each_col

  def __call__(self,
               similarity_matrix: tf.Tensor) -> Tuple[tf.Tensor, tf.Tensor]:
    """Tries to match each column of the similarity matrix to a row.

    Args:
      similarity_matrix: A float tensor of shape [num_rows, num_cols] or
        [batch_size, num_rows, num_cols] representing any similarity metric.

View on GitHub (pinned to e006f5f0d5)

Solutions

1. Sort the threshold list in ascending order before constructing the BoxMatcher.
2. Sort your configured thresholds, e.g. thresholds=sorted(thresholds).

When it happens

Trigger: Thrown at official/vision/ops/box_matcher.py:69 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/c994706b97b0a8fe. Report an issue: GitHub.