tensorflow/models · error · ValueError

Augmentation policy {} not supported.

Error message

Augmentation policy {} not supported.

What it means

Error "Augmentation policy {} not supported." thrown in tensorflow/models.

Source

Thrown at official/projects/maskconver/dataloaders/panoptic_maskrcnn_input.py:213

          'specified when segmentation_resize_eval_groundtruth is False.')
    self._segmentation_groundtruth_padded_size = segmentation_groundtruth_padded_size
    self._segmentation_ignore_label = segmentation_ignore_label
    self._panoptic_ignore_label = panoptic_ignore_label
    self._include_panoptic_masks = include_panoptic_masks
    self.level = level
    self._num_panoptic_categories = num_panoptic_categories
    self._num_thing_categories = num_thing_categories
    self._gaussian_iou = gaussian_iou
    self._max_num_stuff_centers = max_num_stuff_centers

    if aug_type and aug_type.type:
      if aug_type.type == 'autoaug':
        self._augmenter = augment.AutoAugment(
            augmentation_name=aug_type.autoaug.augmentation_name,
            cutout_const=aug_type.autoaug.cutout_const,
            translate_const=aug_type.autoaug.translate_const)
      else:
        raise ValueError('Augmentation policy {} not supported.'.format(
            aug_type.type))
    else:
      self._augmenter = None

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

    Args:
      data: the decoded tensor dictionary from TfExampleDecoder.

    Returns:
      image: image tensor that is preproessed to have normalized value and
        dimension [output_size[0], output_size[1], 3]
      labels: a dictionary of tensors used for training. The following describes
        {key: value} pairs in the dictionary.
        image_info: a 2D `Tensor` that encodes the information of the image and
          the applied preprocessing. It is in the format of
          [[original_height, original_width], [scaled_height, scaled_width]],

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/maskconver/dataloaders/panoptic_maskrcnn_input.py:213 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/b839297adcd31d12. Report an issue: GitHub.