llvm::cl::Optional, llvm::cl::init(false));

}  // namespace

namespace mlir {

namespace {
// Dump the ModuleOp 'module' to the file specified using 'outputFileName'
absl::Status ExportModule(ModuleOp module) {
  std::string error_msg;
  auto output = openOutputFile(output_filename, &error_msg);
  if (output == nullptr) {
    return absl::AbortedError(

  if (mlir::failed(mlir::writeBytecodeToFile(module, os, config))) {
    return absl::InvalidArgumentError("mlir::writeBytecodeToFile failed");
  }
  return bytecode;
}

absl::StatusOr<std::string> ExportModule(ModuleOp module) {
  const std::string output_filename = tensorflow::io::GetTempFilename(".mlir");
  std::string error_msg;
  auto output = openOutputFile(output_filename, &error_msg);
  if (output == nullptr) {

  auto output_export_status =
      ExportModule(*module, output_path, elide_large_elements_attrs);
  if (!conversion_status.ok()) {
    LOG(ERROR) << "TF to StableHLO conversion failed: "
               << conversion_status.message();

    auto debug_export_status = ExportModule(
        *module, absl::StrCat(verbose_dir, "/debug_stablehlo.mlir"),