tensorflow/models · error · NotImplementedError

The mode is not implemented: %s

Error message

The mode is not implemented: %s

What it means

Error "The mode is not implemented: %s" thrown in tensorflow/models.

Source

Thrown at official/recommendation/ranking/train.py:184

    if mode in ['train', 'train_and_eval']:
      logging.info('Training started')
      history = model.fit(
          train_dataset,
          initial_epoch=initial_epoch,
          epochs=num_epochs,
          steps_per_epoch=params.trainer.validation_interval,
          validation_data=validation_dataset,
          validation_steps=eval_steps,
          callbacks=callbacks,
      )
      model.summary()
      logging.info('Train history: %s', history.history)
    elif mode == 'eval':
      logging.info('Evaluation started')
      validation_output = model.evaluate(validation_dataset, steps=eval_steps)
      logging.info('Evaluation output: %s', validation_output)
    else:
      raise NotImplementedError('The mode is not implemented: %s' % mode)


if __name__ == '__main__':
  logging.set_verbosity(logging.INFO)
  common.define_flags()
  app.run(main)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/recommendation/ranking/train.py:184 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/c25eb04641432e60. Report an issue: GitHub.