mlir::MLIRContext* context);

// [Experimental]
// Given a Function, returns a MLIR module containing the graph, expressed with
// tf_executor dialect.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ConvertFunctionToMlir(
    const FunctionBody* fbody, const FunctionLibraryDefinition& flib_def,
    mlir::MLIRContext* context);

// Given a SavedModel, returns a MLIR module containing the functions, expressed
// with tf_executor dialect.

    return "// error";
  }

  mlir::DialectRegistry registry;
  mlir::func::registerAllExtensions(registry);
  mlir::MLIRContext context(registry);
  auto module = ConvertFunctionToMlir(fbody.get(), flib_def, &context);
  if (!module.ok()) {
    tsl::Set_TF_Status_from_Status(status, module.status());
    return "// error";
  }

      func_op->setAttr("tf._original_func_name",
                       builder.getStringAttr(tf_name));
    }
  }
  return module;
}

absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ConvertFunctionToMlir(
    const FunctionBody* fbody, const FunctionLibraryDefinition& flib_def,
    mlir::MLIRContext* context) {
  tensorflow::GraphDebugInfo dummy_debug_info;
  tensorflow::GraphImportConfig specs;