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/video_input.py:333

    aug_type = input_params.aug_type
    if aug_type is not None:
      if aug_type.type == 'autoaug':
        logging.info('Using AutoAugment.')
        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':
        logging.info('Using RandAugment.')
        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
      if self._random_rotation:
        logging.info('Using standard augmentation with rotation.')
      else:
        logging.info('Using standard augmentation without rotation.')

  def _parse_train_data(
      self, decoded_tensors: Dict[str, tf.Tensor]
  ) -> Tuple[Dict[str, tf.Tensor], tf.Tensor]:
    """Parses data for training."""
    # Process image and label.
    image = decoded_tensors[self._image_key]
    image = process_image(
        image=image,
        is_training=True,
        num_frames=self._num_frames,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/vision/dataloaders/video_input.py:333 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/078bf7859969e129. Report an issue: GitHub.