added_call_op->setAttr(kInterfaceNameAttr, interface_name);

  StringAttr device = mlir::cast<StringAttr>(
      added_func_op->getRegion(0).getBlocks().front().front().getAttr(kDevice));
  StringAttr inference_type = mlir::cast<StringAttr>(
      added_func_op->getRegion(0).getBlocks().front().front().getAttr(
          kInferenceType));
  added_call_op->setAttr(kDevice, device);
  added_call_op->setAttr(kInferenceType, inference_type);

  while (!op_worklist.empty()) {
    IslandOp current_op = op_worklist.front();
    op_worklist.pop();
    ops.clear();
    if (incoming) {
      collect_input_defining_islands(current_op, ops);
    } else {
      collect_output_users_islands(current_op, ops);
    }
    for (IslandOp wrapper : ops) {
      Operation* wrapped_op = &wrapper.GetBody().front();
      std::vector<IslandOp> child_ops;
      if (incoming) {

  new_args.reserve(extern_values.size());
  Block& block = func_region.front();
  for (Value value : extern_values) {
    auto arg = block.addArgument(value.getType(), loc);
    replaceAllUsesInRegionWith(value, arg, func_region);
    new_args.push_back(arg);
  }

  // Replace yield op with return.
  Operation* yield_op = outlined_func.getBody().front().getTerminator();
  OpBuilder b(yield_op);

  if (elements.size() != 4 ||
      std::any_of(elements.begin(), elements.end(),
                  [](Attribute e) { return !mlir::isa<IntegerAttr>(e); }))
    return false;

  if (mlir::cast<IntegerAttr>(elements.front()).getInt() != 1 ||
      mlir::cast<IntegerAttr>(elements.back()).getInt() != 1)
    return false;

  Builder b(op->getContext());
  *x = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[1]).getInt());

    DeviceMap& devices,
    const TF::SideEffectAnalysis::Info& side_effect_analysis,
    const DataFlowSolver& solver, bool composite_tpuexecute_side_effects) {
  auto graph_op = cast<GraphOp>(func.front().front());

  // For each op in the graph, get the resources it uses and update the access
  // information for them.
  graph_op.walk([&](IslandOp island) {

    Block& block = op.GetBody();
    // Check if launch only has a return.
    if (&block.front() != &block.back()) return failure();

    // Map launch results to return operands.
    rewriter.replaceOp(op, block.front().getOperands());

    return success();
  }
};
}  // anonymous namespace

apiVersion: release-notes/v2
kind: bug-fix
area: traffic-management
issue:
  - 50968
releaseNotes:
  - |

	// FrontProxyCACertAndKeyBaseName defines front proxy CA certificate and key base name
	FrontProxyCACertAndKeyBaseName = "front-proxy-ca"
	// FrontProxyCACertName defines front proxy CA certificate name
	FrontProxyCACertName = "front-proxy-ca.crt"
	// FrontProxyCAKeyName defines front proxy CA key name
	FrontProxyCAKeyName = "front-proxy-ca.key"

	// FrontProxyClientCertAndKeyBaseName defines front proxy certificate and key base name

			// Acquired the semaphore after we were canceled.
			// Pretend we didn't and put the tokens back.
			s.cur -= n
			s.notifyWaiters()
		default:
			isFront := s.waiters.Front() == elem
			s.waiters.Remove(elem)
			// If we're at the front and there're extra tokens left, notify other waiters.
			if isFront && s.size > s.cur {
				s.notifyWaiters()
			}
		}
		s.mu.Unlock()
		return ctx.Err()

	case <-ready:

  // input and the outputs are all using this type and predicate is tensor<i1>
  // type).
  if (mlir::isa<FunctionType>(types.front())) {
    FunctionType type = mlir::cast<FunctionType>(types.front());
    if (type.getNumInputs() < 2)
      return parser.emitError(parser.getNameLoc())
             << " expects a single data type and a predicate";