#include "tensorflow/compiler/aot/compile.h"
#include "tensorflow/compiler/tf2xla/tf2xla.pb.h"

namespace tensorflow {
namespace tfcompile {

// CodegenOpts specifies code generation options for the generated header file
// and the generated metadata object file.
struct CodegenOpts {
  // The name of the generated C++ class, wrapping the generated function.
  string class_name;

  // Target triple for the architecture we're targeting.

  // bypassed the Cpu compiler so we have to do this manually.
  LLVMInitializeX86Target();
  LLVMInitializeX86TargetInfo();
  LLVMInitializeX86TargetMC();
  LLVMInitializeX86AsmPrinter();

  CodegenOpts opts;
  opts.class_name = "MyClass";
  opts.target_triple = "x86_64-pc-linux";
  opts.namespaces = {"foo", "bar"};
  opts.gen_name_to_index = true;
  opts.gen_program_shape = true;
  tf2xla::Config config;

  const std::vector<char>& obj = compile_result.aot->object_file_data();
  TF_RETURN_IF_ERROR(
      WriteStringToFile(env, flags.out_function_object,
                        absl::string_view(obj.data(), obj.size())));
  CodegenOpts codegen_opts;
  codegen_opts.gen_name_to_index = flags.gen_name_to_index;
  codegen_opts.gen_program_shape = flags.gen_program_shape;
  codegen_opts.target_triple = flags.target_triple;

}

static string CreateUniqueIdentifier(const CodegenOpts& opts,
                                     absl::string_view suffix) {
  string result = "__tfcompile";
  for (const string& n : opts.namespaces) {
    absl::StrAppend(&result, "_", n);
  }

  absl::StrAppend(&result, "_", opts.class_name, "_", suffix);
  return result;
}

Status GenerateMetadata(const CodegenOpts& opts,