tensorflow/models · error · ValueError

The feature fusion method `pyramid_fusion` is not supported

Error message

The feature fusion method `pyramid_fusion` is not supported in QAT.

What it means

Error "The feature fusion method `pyramid_fusion` is not supported in QAT." thrown in tensorflow/models.

Source

Thrown at official/projects/qat/vision/modeling/layers/nn_layers.py:442

    backbone endpoints, and the second is decoder endpoints. When inputs are
    tensors, they are from a single level of feature maps. When inputs are
    dictionaries, they contain multiple levels of feature maps, where the key
    is the index of feature map.

    Args:
      inputs: A tuple of 2 feature map tensors of shape
        [batch, height_l, width_l, channels] or 2 dictionaries of tensors:
        - key: A `str` of the level of the multilevel features.
        - values: A `tf.Tensor` of the feature map tensors, whose shape is
          [batch, height_l, width_l, channels].

    Returns:
      segmentation prediction mask: A `tf.Tensor` of the segmentation mask
        scores predicted from input features.
    """
    if self._config_dict['feature_fusion'] in (
        FeatureFusion.PYRAMID_FUSION, FeatureFusion.PANOPTIC_FPN_FUSION):
      raise ValueError(
          'The feature fusion method `pyramid_fusion` is not supported in QAT.')

    backbone_output = inputs[0]
    decoder_output = inputs[1]
    if self._config_dict['feature_fusion'] in {
        FeatureFusion.DEEPLABV3PLUS, FeatureFusion.DEEPLABV3PLUS_SUM_TO_MERGE
    }:
      # deeplabv3+ feature fusion.
      x = decoder_output[str(self._config_dict['level'])] if isinstance(
          decoder_output, dict) else decoder_output
      y = backbone_output[str(self._config_dict['low_level'])] if isinstance(
          backbone_output, dict) else backbone_output
      y = self._dlv3p_norm(self._dlv3p_conv(y))
      y = self._activation_layer(y)
      x = self._resizing_layer(x)
      x = tf.cast(x, dtype=y.dtype)
      if self._config_dict['feature_fusion'] == FeatureFusion.DEEPLABV3PLUS:
        x = self._concat_layer([x, y])

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/qat/vision/modeling/layers/nn_layers.py:442 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/39e1de7dba32bebf. Report an issue: GitHub.