tensorflow/models · error · ValueError

Unexpected inputs to %s with length at %d

Error message

Unexpected inputs to %s with length at %d

What it means

Error "Unexpected inputs to %s with length at %d" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/transformer_scaffold.py:302

        "kernel_constraint": tf_utils.serialize_constraint(
            self._kernel_constraint, use_legacy_format=True
        ),
        "bias_constraint": tf_utils.serialize_constraint(
            self._bias_constraint, use_legacy_format=True
        ),
    }
    base_config = super().get_config()
    return dict(list(base_config.items()) + list(config.items()))

  def call(self, inputs, training=None):
    if isinstance(inputs, (list, tuple)):
      if len(inputs) == 2:
        input_tensor, attention_mask = inputs
        key_value = None
      elif len(inputs) == 3:
        input_tensor, key_value, attention_mask = inputs
      else:
        raise ValueError("Unexpected inputs to %s with length at %d" %
                         (self.__class__, len(inputs)))
    else:
      input_tensor, key_value, attention_mask = (inputs, None, None)

    if key_value is None:
      key_value = input_tensor

    if self._norm_first:
      source_tensor = input_tensor
      input_tensor = self._attention_layer_norm(input_tensor, training=training)

    attention_output = self._attention_layer(
        query=input_tensor, value=key_value, attention_mask=attention_mask,
        training=training)
    attention_output = self._attention_dropout(attention_output,
                                               training=training)

    if self._norm_first:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/transformer_scaffold.py:302 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/e892d7c77d468d5c. Report an issue: GitHub.