llvm::ArrayRef<Tensor> arguments);

 private:
  void RunTfrtInitializer();

  std::unique_ptr<thread::ThreadPoolInterface> intra_op_;
  std::unique_ptr<tfrt::HostContext> host_context_;
  tfrt::ResourceContext resource_context_;
  std::unique_ptr<tfrt::ExecutionContext> exec_ctx_;
  tfrt::BefBuffer bef_buffer_;

  void Cancel() override {}

 private:
  ThreadPool tpool_;
};
}  // namespace

RuntimeFallbackExecutor::RuntimeFallbackExecutor(int64_t num_threads)
    : intra_op_(std::make_unique<IntraOpThreadPool>(num_threads)) {
  // Create a HostContext for running TFRT functions. Concurrent work queue acts
  // similar to the Tensorflow `inter-op` thread pool, so we'll match the size.