TF_NewShapeAndTypeList(input_shapes_vec.size());
    for (size_t i = 0; i < input_shapes_vec.size(); ++i) {
      const auto& input_shape = input_shapes_vec[i];
      if (input_shape.has_value()) {
        TF_ShapeAndTypeListSetShape(input_shapes, i, input_shape->data(),
                                    input_shape->size());
      } else {
        TF_ShapeAndTypeListSetUnknownShape(input_shapes, i);

     * anything that might slow down execution on such a hot path. Given that the methods are only
     * package-private, I feel OK with just not testing them for NPE.
     *
     * Note that testing casValue is particularly dangerous because it uses Unsafe under some
     * versions of Java, and apparently Unsafe can cause SIGSEGV instead of NPE—almost as if it's
     * not safe.
     */
    concat(

     * anything that might slow down execution on such a hot path. Given that the methods are only
     * package-private, I feel OK with just not testing them for NPE.
     *
     * Note that testing casValue is particularly dangerous because it uses Unsafe under some
     * versions of Java, and apparently Unsafe can cause SIGSEGV instead of NPE—almost as if it's
     * not safe.
     */
    concat(

      tensorflow::EvaluateConstantTensorRunner{
          graph->graph.op_registry(),
          graph->graph.versions().producer(),
      });
  if (!status_or.ok() || !status_or->has_value()) {
    *result = nullptr;
    status->status = std::move(status_or).status();
    return false;
  }
  *result = TF_TensorFromTensor(**status_or, &status->status);
  return status->status.ok();
}