tensorflow/models · error · ValueError

Can't evaluate using annotation file when TFDS is used.

Error message

Can't evaluate using annotation file when TFDS is used.

What it means

Error "Can't evaluate using annotation file when TFDS is used." thrown in tensorflow/models.

Source

Thrown at official/projects/centernet/tasks/centernet.py:313

                  loss_weights.scale_weight * scale_loss +
                  loss_weights.offset_weight * offset_loss)

    if aux_losses:
      total_loss += tf.add_n(aux_losses)

    losses['total_loss'] = total_loss
    return losses

  def build_metrics(self, training=True):
    metrics = []
    metric_names = ['total_loss', 'ct_loss', 'scale_loss', 'ct_offset_loss']
    for name in metric_names:
      metrics.append(tf_keras.metrics.Mean(name, dtype=tf.float32))

    if not training:
      if (self.task_config.validation_data.tfds_name
          and self.task_config.annotation_file):
        raise ValueError(
            "Can't evaluate using annotation file when TFDS is used.")
      self.coco_metric = coco_evaluator.COCOEvaluator(
          annotation_file=self.task_config.annotation_file,
          include_mask=False,
          per_category_metrics=self.task_config.per_category_metrics)

    return metrics

  def train_step(self,
                 inputs: Tuple[Any, Any],
                 model: tf_keras.Model,
                 optimizer: tf_keras.optimizers.Optimizer,
                 metrics: Optional[List[Any]] = None):
    """Does forward and backward.

    Args:
      inputs: a dictionary of input tensors.
      model: the model, forward pass definition.

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/centernet/tasks/centernet.py:313 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/bda8b124910943d1. Report an issue: GitHub.