tensorflow/models · error · ValueError

Learning rate type must be specified

Error message

Learning rate type must be specified

What it means

Error "Learning rate type must be specified" thrown in tensorflow/models.

Source

Thrown at official/modeling/optimization/optimizer_factory.py:160

    Args:
      config: OptimizationConfig instance contain optimization config.
    """
    self._config = config
    self._optimizer_config = config.optimizer.get()
    self._optimizer_type = config.optimizer.type

    self._use_ema = config.ema is not None
    self._ema_config = config.ema

    if self._optimizer_config is None:
      raise ValueError('Optimizer type must be specified')

    self._lr_config = config.learning_rate.get()
    self._lr_type = config.learning_rate.type

    if self._lr_type is None:
      raise ValueError('Learning rate type must be specified')

    self._warmup_config = config.warmup.get()
    self._warmup_type = config.warmup.type

  def build_learning_rate(self):
    """Build learning rate.

    Builds learning rate from config. Learning rate schedule is built according
    to the learning rate config. If learning rate type is consant,
    lr_config.learning_rate is returned.

    Returns:
      tf_keras.optimizers.schedules.LearningRateSchedule instance. If
      learning rate type is consant, lr_config.learning_rate is returned.
    """
    if self._lr_type == 'constant':
      lr = self._lr_config.learning_rate
    else:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/modeling/optimization/optimizer_factory.py:160 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/37a7f69f0fca22d4. Report an issue: GitHub.