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/vision/modeling/layers/nn_blocks.py:2644

        'stochastic_depth_drop_rate': self._stochastic_depth_drop_rate,
        'layer_scale_init_value': self._layer_scale_init_value,
        'transformer_partition_dims': self._transformer_partition_dims,
        'max_attention_inference_parallelism': (
            self._max_attention_inference_parallelism
        ),
    })
    return config

  def call(self, inputs, output_range=None, training=None):
    """Transformer self-attention encoder block call."""
    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:
      if self._norm_first:
        source_tensor = input_tensor[:, 0: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:output_range, :]
      if attention_mask is not None:
        attention_mask = attention_mask[:, 0:output_range, :]
    else:
      if self._norm_first:
        source_tensor = input_tensor

View on GitHub (pinned to e006f5f0d5)

Solutions

1. Pass the expected number of input tensors to the block as shown in the error.
2. Check the block's call signature and supply exactly the required inputs.

When it happens

Trigger: Thrown at official/vision/modeling/layers/nn_blocks.py:2644 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/25295361f06a8aea. Report an issue: GitHub.