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/vision/dataloaders/maskrcnn_input.py:135

    self._aug_scale_min = aug_scale_min
    self._aug_scale_max = aug_scale_max

    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)
      elif aug_type.type == 'randaug':
        self._augmenter = augment.RandAugment(
            num_layers=aug_type.randaug.num_layers,
            magnitude=aug_type.randaug.magnitude,
            cutout_const=aug_type.randaug.cutout_const,
            translate_const=aug_type.randaug.translate_const,
            prob_to_apply=aug_type.randaug.prob_to_apply,
            exclude_ops=aug_type.randaug.exclude_ops)
      else:
        raise ValueError('Augmentation policy {} not supported.'.format(
            aug_type.type))
    else:
      self._augmenter = None

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

    # Image output dtype.
    self._dtype = dtype

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

    Args:
      data: the decoded tensor dictionary from TfExampleDecoder.

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/vision/dataloaders/maskrcnn_input.py:135 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/276265da8545c488. Report an issue: GitHub.