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/shapemask_parser.py:191

    # Control of which category to use.
    self._use_category = use_category
    self._num_sampled_masks = num_sampled_masks
    self._mask_crop_size = mask_crop_size
    self._mask_min_level = mask_min_level
    self._mask_max_level = mask_max_level
    self._outer_box_scale = outer_box_scale
    self._box_jitter_scale = box_jitter_scale
    self._up_sample_factor = upsample_factor

    # 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:
      inputs:
        image: image tensor that is preproessed to have normalized value and
          dimension [output_size[0], output_size[1], 3]
        mask_boxes: sampled boxes that tightly enclose the training masks. The
          box is represented in [y1, x1, y2, x2] format. The tensor is sampled
          to the fixed dimension [self._num_sampled_masks, 4].
        mask_outer_boxes: loose box that enclose sampled tight box. The
          box is represented in [y1, x1, y2, x2] format. The tensor is sampled
          to the fixed dimension [self._num_sampled_masks, 4].
        mask_classes: the class ids of sampled training masks. The tensor has

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/dataloader/shapemask_parser.py:191 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/5787c2a62a425ac5. Report an issue: GitHub.