// is part of the top-level function (ii == 0) or if it was
	// produced as a result of an inline (ii != 0).
	//
	// If a variable was not produced by an inline and its containing
	// function was not inlined, then we just assign an ordering of
	// based on variable name.
	//
	// If a variable was not produced by an inline and its containing
	// function was inlined, then we need to assign a child index

  pm.addNestedPass<FuncOp>(mlir::TFDevice::CreateLaunchToDeviceAttributePass());

  // Note that the region-based control-flow produced here still contains
  // function call ops which get inlined by the subsequent inliner pass.
  pm.addPass(mlir::TF::CreateTFFunctionalControlFlowToRegions());
  pm.addPass(mlir::createInlinerPass());
  pm.addNestedPass<FuncOp>(
      mlir::TF::CreateDropWhileShapeInvariantInDeviceClusterPass());

    std::vector<std::string> hardware_backends;
    // Debug mode.
    // This will output different alternative subgraphs in mlir format for debug
    // purpose.
    bool debug_mode = false;
    // Whether to enable inliner passes or not.
    bool enable_inliner = false;
    // Whether to legalize ops to TFLite ops before exporting.
    bool legalize_to_tflite_ops = false;
  };

  virtual ~TacModule() = default;

  // TPUCompilationResultsOp.
  if (op->hasAttr(kTpuCompilationStatus)) {
    op->setAttr(kTpuCompilationStatus, attr);
  }
}

// A helper class to inline TF::StatefulPartitionedCall ops
struct Inliner : public InlinerInterface {
  Inliner(OpBuilder& builder, SymbolTable& symbol_table)
      : InlinerInterface(builder.getContext()),
        builder(builder),
        symbol_table(symbol_table) {}

  // that work on TF dialect and before inliner so that the function calls in
  // body and cond are inlined for optimization.
  pass_manager->addPass(mlir::TFL::CreateLegalizeTFWhilePass());

  // Add function inlining pass. Both TF and TFLite dialects are opted into
  // function inliner interface.
  pass_manager->addPass(mlir::createInlinerPass());

		}
	}

	{
		a := 2
		if r := func(x int) int { // ERROR "can inline main.func28"
			b := 3
			return func(y int) int { // ERROR "can inline main.func28.1" "can inline main.main.func28.func35"
				c := 5
				func(z int) { // ERROR "can inline main.func28.1.1" "can inline main.func28.main.func28.1.2" "can inline main.main.func28.func35.1" "can inline main.main.func28.main.main.func28.func35.func37"
					a = a * x
					b = b * y

	// from another package is imported and inlined.
	Dcl     []*Name
	HaveDcl bool // whether we've loaded Dcl

	// Function properties, encoded as a string (these are used for
	// making inlining decisions). See cmd/compile/internal/inline/inlheur.
	Properties string

	// CanDelayResults reports whether it's safe for the inliner to delay
	// initializing the result parameters until immediately before the

    const LayoutOptimizationPipelineOptions& options);

struct StandardPipelineOptions
    : public PassPipelineOptions<StandardPipelineOptions> {
  Option<bool> enable_inliner{*this, "enable-inliner",
                              llvm::cl::desc("Enable inliner."),
                              llvm::cl::init(false)};
  Option<bool> form_clusters{*this, "form-clusters",
                             llvm::cl::desc("Enable Cluster Formation pass."),

    //     post inlining, the function will be dead and eliminated from the IR.
    //     So there won't be any code duplication.
    // plus the function caller op can be replaced by inlined ops.
    return !wouldBeCloned || TensorFlowDialect::CanDuplicate(op);
  }

  //===--------------------------------------------------------------------===//
  // Transformation Hooks

	// This function is designed to allow the caller to control the lifetime
	// of the returned *UDPAddr and thereby prevent an allocation.
	// See https://blog.filippo.io/efficient-go-apis-with-the-inliner/.
	// The real work is done by readFromUDP, below.
	return c.readFromUDP(b, &UDPAddr{})
}

// readFromUDP implements ReadFromUDP.
func (c *UDPConn) readFromUDP(b []byte, addr *UDPAddr) (int, *UDPAddr, error) {