tensorflow/models · error · ValueError

The slicing values passed to the slicing spec must be unique

Error message

The slicing values passed to the slicing spec must be unique. Got {slicing_values}.

What it means

Error "The slicing values passed to the slicing spec must be unique. Got {slicing_values}." thrown in tensorflow/models.

Source

Thrown at official/recommendation/uplift/metrics/sliced_metric.py:105

      values, or has slicing values of different types.
    """
    super().__init__(name=name or f"sliced_{metric.name}", dtype=metric.dtype)

    if not slicing_spec:
      raise ValueError("The slicing spec must be a non-empty dictionary.")

    slice_names, slicing_values = zip(*slicing_spec.items())
    if not isinstance(slicing_values[0], (int, bool, str)) or not all(
        isinstance(k, type(slicing_values[0])) for k in slicing_values
    ):
      raise ValueError(
          "All slicing values in the slicing spec must be one of `int`, "
          "`bool`, or `str`, and all values must have the same type. "
          f"Got types: {list(map(type, slicing_values))}."
      )

    if len(slicing_values) > len(set(slicing_values)):
      raise ValueError(
          "The slicing values passed to the slicing spec must be unique. Got "
          f"{slicing_values}."
      )

    # TODO(b/276811843): Look into validating whether `metric` accepts
    # `sample_weights` in its `update_state` method.

    # Instance fully owns a deep copy of the metric.
    self._metric = copy.deepcopy(metric)
    self._slice_names = list(slice_names)
    self._slicing_values = list(slicing_values)
    self._slicing_values_tensors = [
        tf.constant(v, slicing_feature_dtype) for v in slicing_values
    ]
    self._slicing_feature_dtype = self._slicing_values_tensors[0].dtype
    self._sliced_metrics = [copy.deepcopy(metric) for _ in self._slicing_values]

  def update_state(

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/recommendation/uplift/metrics/sliced_metric.py:105 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/70235d8d1173d4c8. Report an issue: GitHub.