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/projects/lra/linformer_encoder_block.py:184

    else:
      self._attention_initializer = tf_utils.clone_initializer(
          self._kernel_initializer
      )
    self._attention_axes = attention_axes

    if self._diff_q_kv_att_layer_norm and not self._norm_first:
      raise ValueError(
          "Setting `diff_q_and_kv_attention_layer_norm` to True"
          "when `norm_first` is False is invalid."
      )

  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)
      )
    einsum_equation = "abc,cd->abd"
    if len(input_tensor_shape.as_list()) > 3:
      einsum_equation = "...bc,cd->...bd"
    hidden_size = input_tensor_shape[-1]
    if hidden_size % self._num_heads != 0:
      logging.warning(
          (
              "The input size (%d) is not a multiple of the number of attention"
              " heads (%d)"
          ),
          hidden_size,
          self._num_heads,
      )
    if self._key_dim is None:
      self._key_dim = int(hidden_size // self._num_heads)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/lra/linformer_encoder_block.py:184 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/bc5008610da58e8c. Report an issue: GitHub.