#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
// any target specialization. When enable_logging is true, enables

    }
  }
  LogicalResult result = bridge.run(module);
  (void)result;
  if (enable_logging || VLOG_IS_ON(1))
    tensorflow::DumpMlirOpToFile(kStandardPipelineAfter, module, "", &bridge);
  return diag_handler.ConsumeStatus();
}

}  // namespace TF