tensorflow/models · error · ValueError

mode is not defined.

Error message

mode is not defined.

What it means

Error "mode is not defined." thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/dataloader/maskrcnn_parser.py:128

    self._aug_scale_min = aug_scale_min
    self._aug_scale_max = aug_scale_max

    # Mask.
    self._include_mask = include_mask
    self._mask_crop_size = mask_crop_size

    # Device.
    self._use_bfloat16 = use_bfloat16

    # Data is parsed depending on the model Modekey.
    if mode == ModeKeys.TRAIN:
      self._parse_fn = self._parse_train_data
    elif mode == ModeKeys.EVAL:
      self._parse_fn = self._parse_eval_data
    elif mode == ModeKeys.PREDICT or mode == ModeKeys.PREDICT_WITH_GT:
      self._parse_fn = self._parse_predict_data
    else:
      raise ValueError('mode is not defined.')

  def __call__(self, value):
    """Parses data to an image and associated training labels.

    Args:
      value: a string tensor holding a serialized tf.Example proto.

    Returns:
      image, labels: if mode == ModeKeys.TRAIN. see _parse_train_data.
      {'images': image, 'labels': labels}: if mode == ModeKeys.PREDICT
        or ModeKeys.PREDICT_WITH_GT.
    """
    with tf.name_scope('parser'):
      data = self._example_decoder.decode(value)
      return self._parse_fn(data)

  def _parse_train_data(self, data):
    """Parses data for training.

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/dataloader/maskrcnn_parser.py:128 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/209ecf4213a814b3. Report an issue: GitHub.