tensorflow/models · error · ValueError

Unexpected inputs to {self.__class__} with length at {len(in

Error message

Unexpected inputs to {self.__class__} with length at {len(inputs)}

What it means

Error "Unexpected inputs to {self.__class__} with length at {len(inputs)}" thrown in tensorflow/models.

Source

Thrown at official/projects/longformer/longformer_encoder_block.py:277

        `attention mask`] to have separate input streams for the query, and
        key/value to the multi-head attention.

    Returns:
      An output tensor with the same dimensions as input/query tensor.
    """
    if isinstance(inputs, (list, tuple)):
      if len(inputs) == 4:
        (
            input_tensor,
            attention_mask,
            is_index_masked,
            is_index_global_attn,
        ) = inputs
        key_value = None
      elif len(inputs) == 5:
        assert False  # No key_value
      else:
        raise ValueError(
            f"Unexpected inputs to {self.__class__} with length at {len(inputs)}"
        )
    else:
      input_tensor = inputs
      attention_mask = None
      is_index_masked = None
      is_index_global_attn = None
      key_value = None

    if self._output_range:
      if self._norm_first:
        source_tensor = input_tensor[:, 0:self._output_range, :]
        input_tensor = self._attention_layer_norm(input_tensor)
        if key_value is not None:
          key_value = self._attention_layer_norm(key_value)
      target_tensor = input_tensor[:, 0:self._output_range, :]
      if attention_mask is not None:
        attention_mask = attention_mask[:, 0:self._output_range, :]

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/longformer/longformer_encoder_block.py:277 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/ddcdf2f85b10327f. Report an issue: GitHub.