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/panoptic/dataloaders/panoptic_deeplab_input.py:146
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(
aug_type.type))
else:
self._augmenter = None
self._dtype = dtype
self._sigma = sigma
self._gaussian, self._gaussian_size = _compute_gaussian_from_std(
self._sigma)
self._gaussian = tf.reshape(self._gaussian, shape=[-1])
self._small_instance_area_threshold = small_instance_area_threshold
self._small_instance_weight = small_instance_weight
def _resize_and_crop_mask(self, mask, image_info, is_training):
"""Resizes and crops mask using `image_info` dict."""
height = image_info[0][0]
width = image_info[0][1]
mask = tf.reshape(mask, shape=[1, height, width, 1])View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/panoptic/dataloaders/panoptic_deeplab_input.py:146 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/49c9af6568b94dce.
Report an issue: GitHub.