tensorflow/models · error · ValueError

tf data service is not supported.

Error message

tf data service is not supported.

What it means

Error "tf data service is not supported." thrown in tensorflow/models.

Source

Thrown at official/projects/videoglue/datasets/dataset_factory.py:131

      dataset = dataset.cache()

    # Add repetition required for tf data service
    if self._params.use_tf_data_service:
      dataset = dataset.repeat()

    return dataset

  def __call__(
      self,
      input_context: Optional[tf.distribute.InputContext] = None
  ) -> tf.data.Dataset:

    def dataset_fn():
      return self._dataset_fn(input_context=input_context)

    # Add tf data service
    if self._params.use_tf_data_service:
      raise ValueError('tf data service is not supported.')
    dataset = dataset_fn()

    dataset = dataset.prefetch(32)  # this will be done on local hosts
    return dataset

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/videoglue/datasets/dataset_factory.py:131 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/7d7df7c92580442a. Report an issue: GitHub.