tensorflow/models · error · ValueError

Backbone min level should be less or equal to FPN min level

Error message

Backbone min level should be less or equal to FPN min level

What it means

Error "Backbone min level should be less or equal to FPN min level" thrown in tensorflow/models.

Source

Thrown at official/projects/maskconver/modeling/fpn.py:213

          bias_regularizer=bias_regularizer,
      )(feats_in)

    # Apply batch norm layers.
    for level in range(min_level, max_level + 1):
      feats[str(level)] = norm_layer()(feats[str(level)])

    self._output_specs = {
        str(level): feats[str(level)].get_shape()
        for level in range(min_level, max_level + 1)
    }

    super().__init__(inputs=inputs, outputs=feats, **kwargs)

  def _build_input_pyramid(self, input_specs: Mapping[str, tf.TensorShape],
                           min_level: int):
    assert isinstance(input_specs, dict)
    if min(input_specs.keys()) > str(min_level):
      raise ValueError(
          'Backbone min level should be less or equal to FPN min level')

    inputs = {}
    for level, spec in input_specs.items():
      inputs[level] = tf_keras.Input(shape=spec[1:])
    return inputs

  def get_config(self) -> Mapping[str, Any]:
    return self._config_dict

  @classmethod
  def from_config(cls, config, custom_objects=None):
    return cls(**config)

  @property
  def output_specs(self) -> Mapping[str, tf.TensorShape]:
    """A dict of {level: TensorShape} pairs for the model output."""
    return self._output_specs

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/maskconver/modeling/fpn.py:213 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/9e78e92fe63d8c7f. Report an issue: GitHub.