}
	inTreeInlineVolPod := &v1.Pod{
		Spec: v1.PodSpec{
			Volumes: []v1.Volume{
				{
					VolumeSource: v1.VolumeSource{
						AWSElasticBlockStore: &v1.AWSElasticBlockStoreVolumeSource{
							VolumeID: "aws-inline1",
						},
					},
				},
			},
		},
	}
	inTreeInlineVolPodWithSameCSIVolumeID := &v1.Pod{
		Spec: v1.PodSpec{
			Volumes: []v1.Volume{
				{
					VolumeSource: v1.VolumeSource{

		return x + func(y int) int { // ERROR "can inline r.func2.1" "can inline r.r.func2.func3"
			return 2*y + x*z
		}(x) // ERROR "inlining call to r.func2.1"
	}
	return foo(42) + bar(42) // ERROR "inlining call to r.func1" "inlining call to r.func2" "inlining call to r.r.func2.func3"
}

func s0(x int) int { // ERROR "can inline s0"
	foo := func() { // ERROR "can inline s0.func1" "func literal does not escape"
		x = x + 1

		p.emitted = i
	}
}

func (p *parseState) skip(i int) {
	p.emitted = i
}

func (p *parseState) inline(s string) []Inline {
	s = trimSpaceTab(s)
	// Scan text looking for inlines.
	// Leaf inlines are converted immediately.
	// Non-leaf inlines have potential starts pushed on a stack while we await completion.
	// Links take priority over other emphasis, so the emphasis must be delayed.
	p.s = s

	// 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

LogicalResult DecomposeTFOpsPass::InlineTFRFuncCalls() {
  // The Inliner will automatically use the registered dialect inliner.
  InlinerInterface inliner(&getContext());
  func::FuncOp func = getOperation();
  SymbolTable table(external_tfr_module_.has_value()
                        ? *external_tfr_module_
                        : func->getParentOfType<ModuleOp>());

  // The inliner only inlines the TFR call op.
  bool changed = false;

			st = "PROMOTED"
			expinl = true
		case hairyval <= bud && score > bud:
			// Demoted: we would have inlined it before, but after
			// score adjustment we decided not to inline.
			st = "DEMOTED"
		}
		inlined := cs.aux&csAuxInlined != 0
		indprom := false
		if cs.parent != nil {
			indprom = indirectlyDueToPromotion(cs.parent)
		}
		if inlined && indprom {
			st += "|INDPROM"
		}

  // 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());

	}
	return out
}

// testPGOIntendedInlining tests that specific functions are inlined.
func testPGOIntendedInlining(t *testing.T, dir string, profFile string) {
	testenv.MustHaveGoRun(t)
	t.Parallel()

	const pkg = "example.com/pgo/inline"

	want := []string{
		"(*BS).NS",
	}

	// The functions which are not expected to be inlined are as follows.
	wantNot := []string{

    //     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

	return func() int { return 42 }() // ERROR "can inline p.func1" "inlining call to p.func1"
}

func q(x int) int { // ERROR "can inline q"
	foo := func() int { return x * 2 } // ERROR "can inline q.func1" "func literal does not escape"
	return foo()                       // ERROR "inlining call to q.func1"
}

func r(z int) int { // ERROR "can inline r"