tensorflow/models · error · ValueError

`last_dim` out of bounds for `tensor` rank.

Error message

`last_dim` out of bounds for `tensor` rank.

What it means

Error "`last_dim` out of bounds for `tensor` rank." thrown in tensorflow/models.

Source

Thrown at official/projects/triviaqa/inputs.py:58

  Returns:
    Tensor of shape [..., flattened_dim_size, ...] where
    flattened_dim_size = first_dim_size * ...middle_dims... * last_dim_size.
  """
  with tf.name_scope(name or 'flatten_dims'):
    tensor = tf.convert_to_tensor(tensor)

    rank = tensor.shape.rank
    if rank is None:
      raise ValueError('Static rank of `tensor` must be known.')
    if first_dim < 0:  # pytype: disable=unsupported-operands
      first_dim += rank
    if first_dim < 0 or first_dim >= rank:  # pytype: disable=unsupported-operands
      raise ValueError('`first_dim` out of bounds for `tensor` rank.')
    if last_dim < 0:  # pytype: disable=unsupported-operands
      last_dim += rank
    if last_dim < 0 or last_dim >= rank:  # pytype: disable=unsupported-operands
      raise ValueError('`last_dim` out of bounds for `tensor` rank.')
    if first_dim > last_dim:  # pytype: disable=unsupported-operands
      raise ValueError('`first_dim` must not be larger than `last_dim`.')

    # Try to calculate static flattened dim size if all input sizes to flatten
    # are statically known. Otherwise, just use -1.
    flat_dims_shape = tensor.shape[first_dim:(last_dim + 1)].as_list()
    flattened_dim_size = 1
    for size in flat_dims_shape:
      if size is None:
        flattened_dim_size = -1
        break
      flattened_dim_size *= size

    old_shape = tf.shape(tensor)
    output_shape = tf.concat([
        old_shape[:first_dim], [flattened_dim_size], old_shape[(last_dim + 1):]
    ], 0)
    return tf.reshape(tensor, output_shape)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/triviaqa/inputs.py:58 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/43fe1b5cf0b13c02. Report an issue: GitHub.