tensorflow/models · error · ConfigurationError

Class '{class_name}' is assigned to both '{seen_classes[clas

Error message

Class '{class_name}' is assigned to both '{seen_classes[class_name]}' and '{category_name}'.

What it means

Error "Class '{class_name}' is assigned to both '{seen_classes[class_name]}' and '{category_name}'." thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/model_inference_with_tracking/sam3_dinov3_tracking_pipeline/config_loader.py:300

  for category_name, class_list in raw_mapping.items():
    if not isinstance(class_list, Sequence) or isinstance(class_list, str):
      raise ConfigurationError(
          f"Category '{category_name}' must map to a list of class names."
      )
    if not class_list:
      raise ConfigurationError(
          f"Category '{category_name}' must map to a non-empty list of class "
          "names."
      )
    mapping_dict[str(category_name)] = list(class_list)
    for class_name in class_list:
      if class_name not in class_names:
        raise ConfigurationError(
            f"Class '{class_name}' in category '{category_name}' is not "
            "present in the top-level 'classes' list."
        )
      if class_name in seen_classes:
        raise ConfigurationError(
            f"Class '{class_name}' is assigned to both "
            f"'{seen_classes[class_name]}' and '{category_name}'."
        )
      seen_classes[class_name] = category_name

  unmapped_classes = [c for c in classes if c not in seen_classes]
  if unmapped_classes:
    raise ConfigurationError(
        "The following classes are not assigned to any collapsed category: "
        f"{unmapped_classes}"
    )

  return CollapsedCategoriesConfig(enable=True, mapping=mapping_dict)


@dataclasses.dataclass(frozen=True, kw_only=True)
class PipelineConfig:
  """Root configuration object representing the entire pipeline state."""

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/model_inference_with_tracking/sam3_dinov3_tracking_pipeline/config_loader.py:300 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/66d4aaab3151622d. Report an issue: GitHub.