func.return %3 : tensor<2x1xf32>
})";
  const std::string kExpectedFB = CreateRuntimeMetadata();
  mlir::DialectRegistry registry;
  registry.insert<mlir::TFL::TensorFlowLiteDialect, mlir::arith::ArithDialect,
                  mlir::func::FuncDialect>();
  mlir::MLIRContext context(registry);
  auto module = mlir::OwningOpRef<mlir::ModuleOp>(

  for (const auto& entry : denylisted_ops) {
    denylisted_mlir_op_names.insert(TfLiteToMlir(entry));
  }

  DialectRegistry registry;
  registry.insert<mlir::TFL::TensorFlowLiteDialect>();
  MLIRContext context(registry);
  StatusScopedDiagnosticHandler statusHandler(&context,
                                              /*propagate=*/true);

    }
    tf_dialect_ =
        module.getContext()->getOrLoadDialect<mlir::TF::TensorFlowDialect>();
    tfl_dialect_ = module.getContext()
                       ->getOrLoadDialect<mlir::TFL::TensorFlowLiteDialect>();
    vhlo_dialect_ =
        module.getContext()->getOrLoadDialect<mlir::vhlo::VhloDialect>();
    // Right now the TF executor dialect is still needed to build NodeDef.
    module.getContext()