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/nlp/quantization/schemes.py:122

    else:
      dummy_input_shape = [1, 1]
      quantized_layer(np.zeros(shape=dummy_input_shape, dtype=np.int32),
                      np.zeros(shape=dummy_input_shape, dtype=np.int32),
                      training=False)

    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 = tf_utils.serialize_layer(
        quantized_layer, use_legacy_format=True
    )
    quantized_layer_config['name'] = quantized_layer_config['config']['name']
    layer_metadata = {
        'quantize_config':
            configs.NoQuantizeConfig()}

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


class MobileBertTransformerQuantize(TransformerEncoderBlockQuantize):

  def __init__(self):

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/qat/nlp/quantization/schemes.py:122 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/ebf6748131189ae7. Report an issue: GitHub.