// TF_DUMP_GRAPH_PREFIX environment variable if `dirname` is empty and
// suffixing `name` with ".mlir".
// If `pass_manager` is provided, prints a header with the pass pipeline.
std::string DumpMlirOpToFile(llvm::StringRef name, mlir::Operation* op,
                             llvm::StringRef dirname = "",
                             const mlir::PassManager* pass_manager = nullptr);

    llvm::StringRef name = pass_registration.pass->name();

    if (DEBUG_DATA_DUMPER()->ShouldDump(function_name, kDebugGroupMain) ||
        VLOG_IS_ON(1)) {
      ::tensorflow::DumpMlirOpToFile(
          DEBUG_DATA_DUMPER()->GetDumpFilename(
              function_name, kDebugGroupMain,
              llvm::formatv("mlir_{0}_before", name)),
          *module_ref, llvm::StringRef(), nullptr);
    }

        "\"builtin.module("
     << passOS.str() << ")\", ";
  os << "disable_threading: true, ";
  os << "verify_each: true } } #-}";
  os << "\n\n";
}

std::string DumpMlirOpToFile(llvm::StringRef name, mlir::Operation* op,
                             llvm::StringRef dirname,
                             const mlir::PassManager* pass_manager) {
  std::unique_ptr<raw_ostream> os;

                          : mlir::func::FuncOp::Visibility::Private;
    function.setVisibility(visibility);
  }
  VLOG(2) << "Imported: "
          << tensorflow::DumpMlirOpToFile("tf_mlir_imported_base",
                                          module.get());
  return module;
}

absl::StatusOr<mlir::FunctionType> GraphDefImporter::InferMainFunctionType(