tensorflow/models · error · ValueError

Unsupported model type: %s

Error message

Unsupported model type: %s

What it means

Error "Unsupported model type: %s" thrown in tensorflow/models.

Source

Thrown at official/projects/panoptic/serving/export_saved_model.py:109

  if FLAGS.params_override:
    params = hyperparams.override_params_dict(
        params, FLAGS.params_override, is_strict=True)

  params.validate()
  params.lock()

  input_image_size = [int(x) for x in FLAGS.input_image_size.split(',')]
  input_specs = tf_keras.layers.InputSpec(
      shape=[FLAGS.batch_size, *input_image_size, 3])

  if FLAGS.model == 'panoptic_deeplab':
    build_model = factory.build_panoptic_deeplab
    panoptic_module = panoptic_deeplab.PanopticSegmentationModule
  elif FLAGS.model == 'panoptic_maskrcnn':
    build_model = factory.build_panoptic_maskrcnn
    panoptic_module = panoptic_maskrcnn.PanopticSegmentationModule
  else:
    raise ValueError('Unsupported model type: %s' % FLAGS.model)

  model = build_model(input_specs=input_specs, model_config=params.task.model)
  export_module = panoptic_module(
      params=params,
      model=model,
      batch_size=FLAGS.batch_size,
      input_image_size=[int(x) for x in FLAGS.input_image_size.split(',')],
      num_channels=3)
  export_saved_model_lib.export_inference_graph(
      input_type=FLAGS.input_type,
      batch_size=FLAGS.batch_size,
      input_image_size=input_image_size,
      params=params,
      checkpoint_path=FLAGS.checkpoint_path,
      export_dir=FLAGS.export_dir,
      export_module=export_module,
      export_checkpoint_subdir='checkpoint',
      export_saved_model_subdir='saved_model')

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/panoptic/serving/export_saved_model.py:109 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/9b1187ba18161594. Report an issue: GitHub.