_ = x[TagUnionType-23]
	_ = x[TagUnspecifiedParameters-24]
	_ = x[TagVariant-25]
	_ = x[TagCommonDwarfBlock-26]
	_ = x[TagCommonInclusion-27]
	_ = x[TagInheritance-28]
	_ = x[TagInlinedSubroutine-29]
	_ = x[TagModule-30]
	_ = x[TagPtrToMemberType-31]
	_ = x[TagSetType-32]
	_ = x[TagSubrangeType-33]
	_ = x[TagWithStmt-34]
	_ = x[TagAccessDeclaration-35]
	_ = x[TagBaseType-36]
	_ = x[TagCatchDwarfBlock-37]

  os.flush();

  output->os() << result;
  output->keep();

  return absl::OkStatus();
}

tensorflow::Status ConvertTFToStableHLO(
    ModuleOp tf_module, const PassPipelineCLParser& pass_pipeline) {
  PassManager pm(tf_module.getContext());
  if (failed(applyPassManagerCLOptions(pm))) {
    return tensorflow::errors::Aborted(
        "Failed to apply MLIR pass manager CL options.");
  }

  func::FuncOp func =
      cluster_func->getParentOfType<ModuleOp>().lookupSymbol<func::FuncOp>(
          func_attr.getValue());

  std::string txt_module;
  if (failed(EncapsulateFuncAndSerialize(
          module_name.empty() ? "unknown_graph" : module_name.str(), func,
          &txt_module)))
    return nullptr;

  auto compilation_status_type =
      RankedTensorType::get({}, builder->getType<TF::StringType>());

    return;
  }

  // Print the module to a string before writing to the file.
  std::string txt_module;
  {
    llvm::raw_string_ostream os(txt_module);
    module.print(os);
  }

  status = file_writer->Append(txt_module);
  if (!status.ok()) {
    LOG(WARNING) << "error writing to file '" << prefix
                 << "': " << status.message();
    return;
  }

        }
    }

    private static byte[] addModuleInfo(ModuleInfo moduleInfo) {
        ClassWriter classWriter = new ClassWriter(0);
        classWriter.visit(Opcodes.V9, Opcodes.ACC_MODULE, "module-info", null, null, null);
        ModuleVisitor moduleVisitor = classWriter.visitModule(moduleInfo.getModuleName(), Opcodes.ACC_OPEN, moduleInfo.getModuleVersion());

}

}  // namespace

// Creates an instance of the pass to decompose the TF ops.
std::unique_ptr<OperationPass<func::FuncOp>> CreateDecomposeTFOpsPass(
    std::optional<ModuleOp> tfr_module) {
  return std::make_unique<DecomposeTFOpsPass>(tfr_module);
}

static PassRegistration<DecomposeTFOpsPass> pass([] {
  return CreateDecomposeTFOpsPass();
});

}  // namespace TFR

	} else {
		// All other imported functions use the normal WASM ABI.
		// Example:
		//
		// 	//go:wasmimport a_module add
		// 	func importedAdd(a, b uint) uint
		//
		// will roughly become
		//
		// 	(import "a_module" "add" (func (param i32 i32) (result i32)))
		abiConfig := AbiForBodylessFuncStackMap(f)
		abiInfo := abiConfig.ABIAnalyzeFuncType(f.Type())

    # This name is not in the namespace because the autograph transformation
    # is not backloaded into Python.
    if name_str == 'ag__':
      return {type(AG_MODULE)}, AG_MODULE

    return None, None

  def res_value(self, ns, value):
    # resolves the type of the symbol by the metadata in 'value'
    if value is None:
      return {TFRTypes.NONE}

	TagVariant                Tag = 0x19
	TagCommonDwarfBlock       Tag = 0x1A
	TagCommonInclusion        Tag = 0x1B
	TagInheritance            Tag = 0x1C
	TagInlinedSubroutine      Tag = 0x1D
	TagModule                 Tag = 0x1E
	TagPtrToMemberType        Tag = 0x1F
	TagSetType                Tag = 0x20
	TagSubrangeType           Tag = 0x21
	TagWithStmt               Tag = 0x22
	TagAccessDeclaration      Tag = 0x23

}

std::string MlirModuleToString(mlir::ModuleOp module,
                               mlir::OpPrintingFlags flags) {
  std::string txt_module;
  {
    llvm::raw_string_ostream os{txt_module};
    module.print(os, flags);
  }
  return txt_module;
}

std::string MlirModuleToString(mlir::ModuleOp module, bool show_debug_info) {
  mlir::OpPrintingFlags flags;