Method RunWithBorrowedArgs

tensorflow/core/kernels/data/captured_function.cc:674–709

}

Status InstantiatedCapturedFunction::RunWithBorrowedArgs(
    IteratorContext* ctx, const std::vector<Tensor>& args,
    std::vector<Tensor>* rets) const {
  auto& info = captured_func_->short_circuit_info();
  if (!info.indices.empty()) {
    return RunShortCircuit(info, args, captured_func_, rets);
  }

  FunctionLibraryRuntime::Options f_opts;
  ScopedStepContainer step_container(
      f_opts.step_id, [this](const string& name) {
        lib_->device()->resource_manager()->Cleanup(name).IgnoreError();
      });
  f_opts.step_container = &step_container;
  f_opts.runner = ctx->runner();
  f_opts.create_rendezvous = ShouldCreateRendezvous();
  CancellationManager cancellation_manager;
  f_opts.cancellation_manager = &cancellation_manager;
  std::function<void()> deregister_fn;
  TF_RETURN_IF_ERROR(ConnectCancellationManagers(
      cancellation_manager_, &cancellation_manager, &deregister_fn));
  auto cleanup = gtl::MakeCleanup(std::move(deregister_fn));

  BorrowedArgsCallFrame frame(args, &captured_func_->captured_inputs(),
                              ret_types_);
  Notification n;
  Status s;

  lib_->Run(f_opts, f_handle_, &frame, [&n, &s](Status func_status) {
    s.Update(func_status);
    n.Notify();
  });
  n.WaitForNotification();
  TF_RETURN_IF_ERROR(s);
  return frame.ConsumeRetvals(rets);
}

Status InstantiatedCapturedFunction::RunInstantiated(
    const std::vector<Tensor>& args, std::vector<Tensor>* rets) {