#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "tensorflow/core/lib/core/status.h"

namespace mlir {
namespace TF {

inline constexpr char kStandardPipelineBefore[] = "standard_pipeline_before";
inline constexpr char kStandardPipelineAfter[] = "standard_pipeline_after";

// Runs all passes involved in transforming or optimizing an MLIR graph without

      module.getContext(), /*propagate=*/false,
      /*filter_stack=*/!VLOG_IS_ON(1));

  constexpr char kBridgeComponent[] = "TFXLABridge";
  if (enable_logging || VLOG_IS_ON(1)) {
    tensorflow::DumpMlirOpToFile(kStandardPipelineBefore, module, "", &bridge);
    if (VLOG_IS_ON(2)) {
      tensorflow::tf2xla::internal::EnablePassIRPrinting(bridge,
                                                         kBridgeComponent);
    }
  }

      mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));

  setenv("TF_DUMP_GRAPH_PREFIX", testing::TmpDir().c_str(), 1);
  std::string filepath =
      testing::TmpDir() + "/" + mlir::TF::kStandardPipelineBefore + ".mlir";

  std::string output_dump = testing::TmpDir() + "/" + "output_dump.txt";

  TF_ASSERT_OK(mlir::TF::RunBridgeWithStandardPipeline(
      module_ref.get(),