namespace mlir {
namespace TF {

inline constexpr char kStandardPipelineBefore[] = "standard_pipeline_before";
inline constexpr char kStandardPipelineAfter[] = "standard_pipeline_after";

// Runs all passes involved in transforming or optimizing an MLIR graph without
// any target specialization. When enable_logging is true, enables
// tensorflow::BridgeLogger. When enable_inliner is true, enables the inliner
// pass.
ABSL_DEPRECATED(

		},
		// function, inlined
		{
			func(buf []byte) int { return testTracebackGenericFnInlined[int](buf) },
			"testTracebackGenericFnInlined[...](",
		},
		// method, not inlined
		{
			x.M,
			"testTracebackGenericTyp[...].M(",
		},
		// method, inlined
		{
			func(buf []byte) int { return x.Inlined(buf) },
			"testTracebackGenericTyp[...].Inlined(",
		},
	}
	var buf [1000]byte

Xiaopeng Han <******@****.***> 1686841337 +0800

// Matches lines in genssa output that describe an inlined file.
// Note it expects an unadventurous choice of basename.
var sepRE = regexp.QuoteMeta(string(filepath.Separator))
var inlineLine *regexp.Regexp = regexp.MustCompile(`^#\s.*` + sepRE + `[-\w]+\.go:(\d+)`)

// this matches e.g.                                 #  /pa/inline-dumpxxxx.go:6

	// 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.
//