TF_RETURN_IF_ERROR(BackpropAlongEdge(dx[i], {e->src(), e->src_output()}));
    }
  }
  return absl::OkStatus();
}

Status SymbolicGradientBuilder::AddGradients() {
  // Initialize backprops.
  TF_RETURN_IF_ERROR(Initialize());

  // Backward propagation.
  std::vector<Output> dy;
  while (!ready_.empty()) {
    // n has collected all gradients.
    Node* n = ready_.front();
    ready_.pop_front();

	return types.TargetStats{
		TotalMessages:  atomic.LoadInt64(&h.totalMessages),
		FailedMessages: atomic.LoadInt64(&h.failedMessages),
		QueueLength:    queueLength,
	}
}

// Init initialize kafka target
func (h *Target) Init(ctx context.Context) error {
	if !h.kconfig.Enabled {
		return nil
	}
	if err := h.validate(); err != nil {
		return err
	}
	if h.kconfig.QueueDir != "" {

        CliRequest request = new CliRequest(new String[0], null);

        // read .mvn/maven.config
        cli.initialize(request);
        cli.cli(request);
        assertEquals("multithreaded", request.commandLine.getOptionValue(CLIManager.BUILDER));
        assertEquals("8", request.commandLine.getOptionValue(CLIManager.THREADS));

    }

    private TestUtil(File rootDir, File userHomeDir) {
        NativeServicesTestFixture.initialize()
        this.rootDir = rootDir
        this.userHomeDir = userHomeDir
    }

    static InstantiatorFactory instantiatorFactory() {
        if (instantiatorFactory == null) {
            NativeServicesTestFixture.initialize()

}

type sigset struct{}

// Called to initialize a new m (including the bootstrap m).
// Called on the parent thread (main thread in case of bootstrap), can allocate memory.
func mpreinit(mp *m) {
	// Initialize stack and goroutine for note handling.
	mp.gsignal = malg(32 * 1024)
	mp.gsignal.m = mp
	mp.notesig = (*int8)(mallocgc(_ERRMAX, nil, true))
	// Initialize stack for handling strings from the

   */
  final void retryUpdate(long x, @CheckForNull int[] hc, boolean wasUncontended) {
    int h;
    if (hc == null) {
      threadHashCode.set(hc = new int[1]); // Initialize randomly
      int r = rng.nextInt(); // Avoid zero to allow xorShift rehash
      h = hc[0] = (r == 0) ? 1 : r;
    } else h = hc[0];
    boolean collide = false; // True if last slot nonempty
    for (; ; ) {

  // Initialize theoretical Jacobians to zeros.
  std::vector<Tensor> jacobian_ts;
  InitJacobians<X_T, Y_T, JAC_T>(xs, x_shapes, y_shapes, &jacobian_ts);

  // Compute theoretical Jacobian.
  TF_RETURN_IF_ERROR((ComputeTheoreticalJacobianTranspose<X_T, Y_T, JAC_T>(
      scope, xs, x_shapes, *x_datas, ys, y_shapes, &jacobian_ts)));

  // Initialize numeric Jacobian to zeros.

   */
  final void retryUpdate(long x, @CheckForNull int[] hc, boolean wasUncontended) {
    int h;
    if (hc == null) {
      threadHashCode.set(hc = new int[1]); // Initialize randomly
      int r = rng.nextInt(); // Avoid zero to allow xorShift rehash
      h = hc[0] = (r == 0) ? 1 : r;
    } else h = hc[0];
    boolean collide = false; // True if last slot nonempty
    for (; ; ) {

   */
  final void retryUpdate(long x, @CheckForNull int[] hc, boolean wasUncontended) {
    int h;
    if (hc == null) {
      threadHashCode.set(hc = new int[1]); // Initialize randomly
      int r = rng.nextInt(); // Avoid zero to allow xorShift rehash
      h = hc[0] = (r == 0) ? 1 : r;
    } else h = hc[0];
    boolean collide = false; // True if last slot nonempty
    for (; ; ) {

   */
  final void retryUpdate(long x, @CheckForNull int[] hc, boolean wasUncontended) {
    int h;
    if (hc == null) {
      threadHashCode.set(hc = new int[1]); // Initialize randomly
      int r = rng.nextInt(); // Avoid zero to allow xorShift rehash
      h = hc[0] = (r == 0) ? 1 : r;
    } else h = hc[0];
    boolean collide = false; // True if last slot nonempty
    for (; ; ) {