tensorflow/models · error · ValueError

layer must be a `tf_keras.layer.Conv2D` instance. You passed

Error message

layer must be a `tf_keras.layer.Conv2D` instance. You passed: {input}

What it means

Error "layer must be a `tf_keras.layer.Conv2D` instance. You passed: {input}" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/spectral_normalization.py:193

      aggregation: (tf.VariableAggregation) Indicates how a distributed variable
        will be aggregated. Accepted values are constants defined in the class
        tf.VariableAggregation.
      legacy_mode: (bool) Whether to use the legacy implementation where the
        dimension of the u and v vectors are set to the batch size. It should
        not be enabled unless for backward compatibility reasons.
      **kwargs: (dict) Other keyword arguments for the layers.Wrapper class.
    """
    self.iteration = iteration
    self.do_power_iteration = training
    self.aggregation = aggregation
    self.norm_multiplier = norm_multiplier
    self.legacy_mode = legacy_mode

    # Set layer attributes.
    layer._name += '_spec_norm'

    if not isinstance(layer, tf_keras.layers.Conv2D):
      raise ValueError(
          'layer must be a `tf_keras.layer.Conv2D` instance. You passed: {input}'
          .format(input=layer))
    super().__init__(layer, **kwargs)

  def build(self, input_shape):  # pytype: disable=signature-mismatch  # overriding-parameter-count-checks
    if not self.layer.built:
      self.layer.build(input_shape)
    self.layer.kernel._aggregation = self.aggregation  # pylint: disable=protected-access
    self._dtype = self.layer.kernel.dtype

    # Shape (kernel_size_1, kernel_size_2, in_channel, out_channel).
    self.w = self.layer.kernel
    self.w_shape = self.w.shape.as_list()
    self.strides = self.layer.strides

    # Set the dimensions of u and v vectors.
    batch_size = input_shape[0]
    uv_dim = batch_size if self.legacy_mode else 1

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/spectral_normalization.py:193 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/64df7b66eb11a999. Report an issue: GitHub.