tensorflow/models · error · ValueError

Invalid mode {}

Error message

Invalid mode {}

What it means

Error "Invalid mode {}" thrown in tensorflow/models.

Source

Thrown at official/legacy/transformer/transformer_main.py:475

  flags_obj = flags.FLAGS
  task = TransformerTask(flags_obj)

  # Execute flag override logic for better model performance
  if flags_obj.tf_gpu_thread_mode:
    keras_utils.set_gpu_thread_mode_and_count(
        per_gpu_thread_count=flags_obj.per_gpu_thread_count,
        gpu_thread_mode=flags_obj.tf_gpu_thread_mode,
        num_gpus=flags_obj.num_gpus,
        datasets_num_private_threads=flags_obj.datasets_num_private_threads)

  if flags_obj.mode == "train":
    task.train()
  elif flags_obj.mode == "predict":
    task.predict()
  elif flags_obj.mode == "eval":
    task.eval()
  else:
    raise ValueError("Invalid mode {}".format(flags_obj.mode))


if __name__ == "__main__":
  logging.set_verbosity(logging.INFO)
  misc.define_transformer_flags()
  app.run(main)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/transformer/transformer_main.py:475 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/ecc0d2680e5ccb2e. Report an issue: GitHub.