tensorflow/models · error · ValueError

Flag `%s` must be provided in mode %s.

Error message

Flag `%s` must be provided in mode %s.

What it means

Error "Flag `%s` must be provided in mode %s." thrown in tensorflow/models.

Source

Thrown at official/nlp/finetuning/glue/flags.py:113

def validate_flags(flags_obj: flags.FlagValues,
                   file_exists_fn: Callable[[str], bool]):
  """Raises ValueError if any flags are misconfigured.

  Args:
    flags_obj: A `flags.FlagValues` object, usually from `flags.FLAG`.
    file_exists_fn: A callable to decide if a file path exists or not.
  """

  def _check_path_exists(flag_path, flag_name):
    if not file_exists_fn(flag_path):
      raise ValueError('Flag `%s` at %s does not exist.' %
                       (flag_name, flag_path))

  def _validate_path(flag_path, flag_name):
    if not flag_path:
      raise ValueError('Flag `%s` must be provided in mode %s.' %
                       (flag_name, flags_obj.mode))
    _check_path_exists(flag_path, flag_name)

  if 'train' in flags_obj.mode:
    _validate_path(flags_obj.train_input_path, 'train_input_path')
    _validate_path(flags_obj.input_meta_data_path, 'input_meta_data_path')

    if flags_obj.gin_file:
      for gin_file in flags_obj.gin_file:
        _check_path_exists(gin_file, 'gin_file')
    if flags_obj.config_file:
      for config_file in flags_obj.config_file:
        _check_path_exists(config_file, 'config_file')

  if 'eval' in flags_obj.mode:
    _validate_path(flags_obj.validation_input_path, 'validation_input_path')

  if flags_obj.mode == 'predict':

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/finetuning/glue/flags.py:113 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/b064a311a473df63. Report an issue: GitHub.