tensorflow/models · error · ValueError

Fatal exception in the data production loop: {}

Error message

Fatal exception in the data production loop: {}

What it means

Error "Fatal exception in the data production loop: {}" thrown in tensorflow/models.

Source

Thrown at official/recommendation/data_pipeline.py:702

    self._eval_dataset.start_construction()
    map_args = [i for i in range(self.eval_batches_per_epoch)]

    get_pool = (
        popen_helper.get_fauxpool
        if self.deterministic else popen_helper.get_threadpool)
    with get_pool(6) as pool:
      pool.map(self._get_eval_batch, map_args)
    self._eval_dataset.end_construction()

    logging.info("Eval construction complete. Time: {:.1f} seconds".format(
        timeit.default_timer() - start_time))

  def make_input_fn(self, is_training):
    # It isn't feasible to provide a foolproof check, so this is designed to
    # catch most failures rather than provide an exhaustive guard.
    if self._fatal_exception is not None:
      raise ValueError("Fatal exception in the data production loop: {}".format(
          self._fatal_exception))

    return (self._train_dataset.make_input_fn(self.train_batch_size)
            if is_training else self._eval_dataset.make_input_fn(
                self.eval_batch_size))

  def increment_request_epoch(self):
    self._train_dataset.increment_request_epoch()


class DummyConstructor(threading.Thread):
  """Class for running with synthetic data."""

  def __init__(self, *args, **kwargs):
    super(DummyConstructor, self).__init__(*args, **kwargs)
    self.train_batches_per_epoch = rconst.SYNTHETIC_BATCHES_PER_EPOCH
    self.eval_batches_per_epoch = rconst.SYNTHETIC_BATCHES_PER_EPOCH

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/recommendation/data_pipeline.py:702 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/0c5ecc10d0c7a1d4. Report an issue: GitHub.