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/rezero_transformer.py:323

        "sigmoid_attn_bias": self._sigmoid_attn_bias,
    }
    base_config = super().get_config()
    return dict(list(base_config.items()) + list(config.items()))

  def reset_rezero(self):
    self._rezero_a.assign(0.)
    if not self._share_rezero:
      self._rezero_a_ffn.assign(0.)

  def call(self, inputs, output_range: Optional[tf.Tensor] = None) -> tf.Tensor:
    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 output_range is None:
      output_range = self._output_range
    if output_range:
      target_tensor = input_tensor[:, 0:output_range, :]
      if attention_mask is not None:
        attention_mask = attention_mask[:, 0:output_range, :]
    else:
      target_tensor = input_tensor

    if key_value is None:
      key_value = input_tensor

    attention_output = self._attention_layer(
        query=target_tensor, value=key_value, attention_mask=attention_mask)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/rezero_transformer.py:323 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/114b2e98647b44e7. Report an issue: GitHub.