void CreateLayoutOptimizationPipeline(
    OpPassManager& pm,  // NOLINT - MLIR contract is pass by mutable reference.
    const LayoutOptimizationPipelineOptions& options);

struct StandardPipelineOptions
    : public PassPipelineOptions<StandardPipelineOptions> {
  Option<bool> enable_inliner{*this, "enable-inliner",
                              llvm::cl::desc("Enable inliner."),
                              llvm::cl::init(false)};

  mlir::StatusScopedDiagnosticHandler statusHandler(module_op.getContext(),
                                                    /*propagate=*/true);

  mlir::TF::StandardPipelineOptions standard_pipeline_options;
  standard_pipeline_options.enable_inliner = false;
  standard_pipeline_options.form_clusters = false;
  mlir::TF::CreateTFStandardPipeline(pm_before_freezing_variables,

  mlir::OwningOpRef<mlir::ModuleOp> module = std::move(module_or).value();
  mlir::PassManager pm(&context);
  std::string error;
  llvm::raw_string_ostream error_stream(error);

  mlir::TF::StandardPipelineOptions tf_options;
  mlir::TF::CreateTFStandardPipeline(pm, tf_options);

  mlir::StatusScopedDiagnosticHandler diagnostic_handler(&context);
  if (failed(pm.run(*module))) {

  auto wrapped_ops = mlir::TFL::AllTfFakeQuantOps();
  pass_manager->addNestedPass<mlir::func::FuncOp>(
      mlir::TFL::CreateRaiseCustomOpsPass(wrapped_ops));

  mlir::TF::StandardPipelineOptions standard_pipeline_options;
  standard_pipeline_options.enable_inliner = false;
  standard_pipeline_options.form_clusters = pass_config.form_clusters;

                          /*is_resource=*/arg.kind == XlaArgument::kResource});
  }

  mlir::PassManager pm(module_op.getContext());
  applyTensorflowAndCLOptions(pm);
  mlir::TF::StandardPipelineOptions tf_options;
  mlir::TF::CreateTFStandardPipeline(pm, tf_options);

  if (VLOG_IS_ON(1))
    tensorflow::DumpMlirOpToFile("compile_graph_setup_before", module_op);
  if (VLOG_IS_ON(2)) {