// 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

    }

    private TestFile log(String logText) {
        def f = temp.file("log.txt")
        f.text = logText.stripIndent(true)
        return f
    }

// CHECK-LABEL: func @inline_simple(
func.func @inline_simple() -> tensor<2xi32> {
  // CHECK-NEXT: %[[CST:.*]] = "tf.Const"
  // CHECK-NEXT: return %[[CST]]
  %result = "tf.StatefulPartitionedCall"() {config = "", config_proto = "", executor_type = "", f = @simple_callee} : () -> tensor<2xi32>
  func.return %result : tensor<2xi32>
}

// Test that functions with 'tf._noinline' are not inlined.

// RUN: tf-opt -tf-shape-inference -inline='default-pipeline=''' %s | FileCheck %s --dump-input=always
// RUN: tf-opt -tf-standard-pipeline=enable-inliner %s | FileCheck %s --dump-input=always

// Tests function with argument has no resource subtype but caller operand has a
// resource subtype, and after shape inference, function argument is refined and
// no `tf.Cast` ops are generated.

// Here's an example of how Go 1.17 writes out inlined functions, compiled for
// linux/amd64. The disassembly of main.main shows two levels of inlining: main
// calls b, b calls a, a does some work.
//
//   inline.go:9   0x4553ec  90              NOPL                 // func main()    { b(v) }
//   inline.go:6   0x4553ed  90              NOPL                 // func b(v *int) { a(v) }

	// an inline tree.
	inlined()
	inlined()

	// Acquire a PC in this function.
	pc, _, _, ok := runtime.Caller(0)
	if !ok {
		t.Fatalf("Caller(0) got ok false, want true")
	}

	return pc
}

// Test that CallersFrames handles PCs in the alignment region between
// functions (int 3 on amd64) without crashing.
//

type InlCall struct {
	// index into ctx.InlTree describing the call inlined here
	InlIndex int

	// Position of the inlined call site.
	CallPos src.Pos

	// Dwarf abstract subroutine symbol (really *obj.LSym).
	AbsFunSym Sym

	// Indices of child inlines within Calls array above.
	Children []int

	// entries in this list are PAUTO's created by the inliner to
	// capture the promoted formals and locals of the inlined callee.

// table size significantly.
//
// The per-rune values have the following format:
//
//	if mapped {
//	  if inlinedXOR {
//	    15..13 inline XOR marker
//	    12..11 unused
//	    10..3  inline XOR mask
//	  } else {
//	    15..3  index into xor or mapping table
//	  }
//	} else {
//	    15..14 unused
//	    13     mayNeedNorm
//	    12..11 attributes

  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());

// CHECK: %[[identity:.*]] = "tf.IdentityN"(%[[conv]]) {device = ""} : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2xf32>
// CHECK: return %[[identity]] : tensor<1x3x2x2xf32>

// -----

// Tests that `tf.BatchFunction` is inlined.

func.func @serving_default(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> {