tensorflow/models · error · ValueError

{} is not a valid mode.

Error message

{} is not a valid mode.

What it means

Error "{} is not a valid mode." thrown in tensorflow/models.

Source

Thrown at official/legacy/image_classification/classifier_trainer.py:440

def run(flags_obj: flags.FlagValues,
        strategy_override: tf.distribute.Strategy = None) -> Mapping[str, Any]:
  """Runs Image Classification model using native Keras APIs.

  Args:
    flags_obj: An object containing parsed flag values.
    strategy_override: A `tf.distribute.Strategy` object to use for model.

  Returns:
    Dictionary of training/eval stats
  """
  params = _get_params_from_flags(flags_obj)
  if params.mode == 'train_and_eval':
    return train_and_eval(params, strategy_override)
  elif params.mode == 'export_only':
    export(params)
  else:
    raise ValueError('{} is not a valid mode.'.format(params.mode))


def main(_):
  stats = run(flags.FLAGS)
  if stats:
    logging.info('Run stats:\n%s', stats)


if __name__ == '__main__':
  logging.set_verbosity(logging.INFO)
  define_classifier_flags()
  flags.mark_flag_as_required('data_dir')
  flags.mark_flag_as_required('mode')
  flags.mark_flag_as_required('model_type')
  flags.mark_flag_as_required('dataset')

  app.run(main)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/image_classification/classifier_trainer.py:440 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/9b45ce71e91145a5. Report an issue: GitHub.