// - Gradients
// - Reference-type inputs
// - Directly referencing external tensors from the cond/body graphs (this is
//   possible in the Python API)
TF_CAPI_EXPORT extern TF_WhileParams TF_NewWhile(TF_Graph* g, TF_Output* inputs,
                                                 int ninputs,
                                                 TF_Status* status);

      params.ninputs <= 0 || params.cond_inputs == nullptr ||
      params.body_inputs == nullptr || params.body_outputs == nullptr) {
    s->status = InvalidArgument(
        "TF_WhileParams must be created by successful TF_NewWhile() call");
    return false;
  }
  return true;
}

bool ValidateInputWhileParams(const TF_WhileParams& params, TF_Status* s) {
  if (params.cond_output.oper == nullptr) {

  // Add while loop to func_graph_
  {
    // The inputs to the while loop
    std::vector<TF_Output> inputs = {{feed1, 0}, {feed2, 0}};
    std::unique_ptr<TF_WhileParams> params(new TF_WhileParams(
        TF_NewWhile(func_graph_, &inputs[0], inputs.size(), s_)));
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    params->name = "test_loop";

    // Initialize outputs so we can easily detect errors/bugs