tensorflow/models · error · ValueError

{}/{} of Bottleneck weights is transformed.

Error message

{}/{} of Bottleneck weights is transformed.

What it means

Error "{}/{} of Bottleneck weights is transformed." thrown in tensorflow/models.

Source

Thrown at official/projects/qat/vision/n_bit/schemes.py:94

    bottleneck_config['num_bits_activation'] = self._num_bits_activation
    bottleneck_names_and_weights = list(match_layer.names_and_weights)
    quantized_layer = self._quantized_layer_class(
        **bottleneck_config)
    dummy_input_shape = [1, 1, 1, 1]
    quantized_layer.compute_output_shape(dummy_input_shape)
    quantized_names_and_weights = zip(
        [weight.name for weight in quantized_layer.weights],
        quantized_layer.get_weights())
    match_idx = 0
    names_and_weights = []
    for name_and_weight in quantized_names_and_weights:
      if not self._is_quantization_weight_name(name=name_and_weight[0]):
        name_and_weight = bottleneck_names_and_weights[match_idx]
        match_idx = match_idx + 1
      names_and_weights.append(name_and_weight)

    if match_idx != len(bottleneck_names_and_weights):
      raise ValueError('{}/{} of Bottleneck weights is transformed.'.format(
          match_idx, len(bottleneck_names_and_weights)))
    quantized_layer_config = keras.layers.serialize(quantized_layer)
    quantized_layer_config['name'] = quantized_layer_config['config']['name']
    layer_metadata = {
        'quantize_config':
            configs.DefaultNBitOutputQuantizeConfig(
                num_bits_weight=self._num_bits_weight,
                num_bits_activation=self._num_bits_activation)}

    return _LayerNode(
        quantized_layer_config,
        metadata=layer_metadata,
        names_and_weights=names_and_weights)


class QuantizeLayoutTransform(
    tfmot.quantization.keras.QuantizeLayoutTransform):
  """Default model transformations."""

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/qat/vision/n_bit/schemes.py:94 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/5e1692d9c3eeed97. Report an issue: GitHub.