tensorflow/models · error · ValueError

groundtruth_padded_size ([height, width]) needs to bespecifi

Error message

groundtruth_padded_size ([height, width]) needs to bespecified when resize_eval_groundtruth is False.

What it means

Error "groundtruth_padded_size ([height, width]) needs to bespecified when resize_eval_groundtruth is False." thrown in tensorflow/models.

Source

Thrown at official/projects/panoptic/dataloaders/panoptic_deeplab_input.py:128

      ignore_label: `int` the pixel with ignore label will not used for training
        and evaluation.
      aug_rand_hflip: `bool`, if True, augment training with random
        horizontal flip.
      aug_scale_min: `float`, the minimum scale applied to `output_size` for
        data augmentation during training.
      aug_scale_max: `float`, the maximum scale applied to `output_size` for
        data augmentation during training.
      aug_type: An optional Augmentation object with params for AutoAugment.
      sigma: `float`, standard deviation for generating 2D Gaussian to encode
        centers.
      small_instance_area_threshold: `int`, small instance area threshold.
      small_instance_weight: `float`, small instance weight.
      dtype: `str`, data type. One of {`bfloat16`, `float32`, `float16`}.
    """
    self._output_size = output_size
    self._resize_eval_groundtruth = resize_eval_groundtruth
    if (not resize_eval_groundtruth) and (groundtruth_padded_size is None):
      raise ValueError(
          'groundtruth_padded_size ([height, width]) needs to be'
          'specified when resize_eval_groundtruth is False.')
    self._groundtruth_padded_size = groundtruth_padded_size
    self._ignore_label = ignore_label

    # Data augmentation.
    self._aug_rand_hflip = aug_rand_hflip
    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)
      else:
        raise ValueError('Augmentation policy {} not supported.'.format(

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/panoptic/dataloaders/panoptic_deeplab_input.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/f8dedc431132d08f. Report an issue: GitHub.