return s
	}
	return s
}

func checkStack(e *errAccumulator, stk trace.Stack) {
	// Check for non-empty values, but we also check for crashes due to incorrect validation.
	i := 0
	stk.Frames(func(f trace.StackFrame) bool {
		if i == 0 {
			// Allow for one fully zero stack.
			//
			// TODO(mknyszek): Investigate why that happens.
			return true
		}
		if f.Func == "" || f.File == "" || f.PC == 0 || f.Line == 0 {

    } else if (stack_traces_.contains(debug_info_key)) {
      stack_trace = stack_traces_.at(debug_info_key);
    } else {
      DVLOG(1) << "No stack trace for " << node.name();
    }

    llvm::SmallVector<mlir::Location, 4> locations;

    if (stack_trace != nullptr) {
      DVLOG(1) << "Stack available for " << node.name();

let hasName=false;let hasTitle=false;table.tableRows=stackFrame.stackTrace;table.tableRows.forEach(function(row){hasName|=row.name...

			// Same should be applied to splittingTraceConsumer.
			written++
		},
		ConsumeViewerFrame: func(k string, v format.Frame) {
			allFrames[k] = v
		},
		Flush: func() {
			io.WriteString(w, `], "stackFrames":`)
			enc.Encode(requiredFrames)
			io.WriteString(w, `}`)
		},
	}
}

func SplittingTraceConsumer(max int) (*splitter, TraceConsumer) {
	type eventSz struct {
		Time   float64
		Sz     int

  TF_Operation* feed = Placeholder(func_graph.get(), s.get());
  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  std::vector<StackFrame> feed_frames = {{"feed.cc", 10, "alpha"}};
  std::vector<StackFrame> neg_frames = {{"neg.cc", 15, "beta"}};
  feed->node.SetStackTrace(std::make_shared<FrozenStackTrace>(feed_frames));
  neg->node.SetStackTrace(std::make_shared<FrozenStackTrace>(neg_frames));

  %2 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
  %3 = "tf.Const"() {value = dense<2> : tensor<i32>} : () -> tensor<i32>
  %4 = "tf.StackV2"(%3) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
  %5:5 = "tfl.while"(%2, %3, %2, %4, %0) ({
  ^bb0(%arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<i32>, %arg4: tensor<!tf_type.resource>, %arg5: tensor<f32>):

			p.From.Offset = int64(autosize)
			p.From.Reg = REGSP
			p.To.Type = obj.TYPE_REG
			p.To.Reg = REGPC

			// If there are instructions following
			// this ARET, they come from a branch
			// with the same stackframe, so no spadj.

			if p.To.Sym != nil { // retjmp
				p.To.Reg = REGLINK
				q2 = obj.Appendp(p, newprog)
				q2.As = AB
				q2.To.Type = obj.TYPE_BRANCH
				q2.To.Sym = p.To.Sym
				p.To.Sym = nil

func.func @ignore_stack_ops(%arg0: tensor<i32>) -> () {
  "tf_device.cluster"() ({
    // CHECK: "tf.StackV2"
    // CHECK-NOT: _xla_outside_compilation
    %0 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
    tf_device.return
  }) {allow_soft_placement = true, num_cores_per_replica = 1, topology =  "", device_assignment =  []} : () -> ()
  func.return
}

				p = obj.Appendp(p, newprog)
			}

			p.As = obj.ARET
			p.To = to

			// If there are instructions following
			// this ARET, they come from a branch
			// with the same stackframe, so undo
			// the cleanup.
			p.Spadj = +autoffset
		}

		if p.To.Sym != nil { // retjmp
			p.As = obj.AJMP
		}
	}
}

func isZeroArgRuntimeCall(s *obj.LSym) bool {
	if s == nil {

    // expected-remark@above {{Successors: {6}}}
        %stack_handle1 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 0}}
        %stack_handle2 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 1}}