tensorflow/models · error · ValueError

The type of input shape argument is not supported, got: %s

Error message

The type of input shape argument is not supported, got: %s

What it means

Error "The type of input shape argument is not supported, got: %s" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/rezero_transformer.py:143

    self._sigmoid_attn_bias = sigmoid_attn_bias
    if self._linformer_dim is not None or self._use_sigmoid_attn:
      raise ValueError(
          "Linformer and Sigmoid attention are not supported in ReZero"
          " Transformer."
      )
    if self._num_kv_heads is not None and self._src_block_size is not None:
      raise ValueError(
          "Block sparse attention does not support Multi-query attention."
          " Specify only one of them."
      )

  def build(self, input_shape):
    if isinstance(input_shape, tf.TensorShape):
      input_tensor_shape = input_shape
    elif isinstance(input_shape, (list, tuple)):
      input_tensor_shape = tf.TensorShape(input_shape[0])
    else:
      raise ValueError(
          "The type of input shape argument is not supported, got: %s"
          % type(input_shape)
      )

    if len(input_tensor_shape.as_list()) != 3:
      raise ValueError(
          "TransformerLayer expects a three-dimensional input of "
          "shape [batch, sequence, width]."
      )
    batch_size, sequence_length, hidden_size = input_tensor_shape

    if len(input_shape) == 2:
      mask_tensor_shape = tf.TensorShape(input_shape[1])
      expected_mask_tensor_shape = tf.TensorShape(
          [batch_size, sequence_length, sequence_length]
      )
      if not expected_mask_tensor_shape.is_compatible_with(mask_tensor_shape):
        raise ValueError(

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/rezero_transformer.py:143 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/7f878450031928d9. Report an issue: GitHub.