#define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \
  do {                                                            \
    ::tensorflow::Status _s(__VA_ARGS__);                         \
    if (!TF_PREDICT_TRUE(_s.ok())) {                              \
      ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s);      \
      TF_OpKernelContext_Failure(CTX, C_STATUS);                  \

var globalLockGridStart = make(chan struct{})

func initGlobalGrid(ctx context.Context, eps EndpointServerPools) error {
	hosts, local := eps.GridHosts()
	lookupHost := globalDNSCache.LookupHost
	g, err := grid.NewManager(ctx, grid.ManagerOptions{
		// Pass Dialer for websocket grid, make sure we do not
		// provide any DriveOPTimeout() function, as that is not

	bucketMovingAvgTicker *time.Ticker    // Ticker for calculating moving averages
	ctx                   context.Context // Context for generate
	NodeCount             uint64
}

// NewMonitor returns a monitor with defaults.
func NewMonitor(ctx context.Context, numNodes uint64) *Monitor {
	m := &Monitor{
		bucketsMeasurement:    make(map[BucketOptions]*bucketMeasurement),

            throws MalformedURLException, DcerpcException {
        return DcerpcHandle.getHandle(String.format("ncacn_np:%s[endpoint=%s,address=%s]", loc.getServer(), ep, address.getHostAddress()),
                ctx);
    }

  return wrap(CreateTracingExecutionContext(fn_name, s));
}

TF_AbstractFunction* TF_FinalizeFunction(TF_ExecutionContext* ctx,
                                         TF_OutputList* outputs, TF_Status* s) {
  AbstractFunction* func;
  TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(ctx));
  if (!tracing_ctx) {
    tsl::Set_TF_Status_from_Status(
        s, tensorflow::errors::InvalidArgument(

	// Similar check to http.checkWriteHeaderCode
	if err.HTTPStatusCode < 100 || err.HTTPStatusCode > 999 {
		bugLogIf(ctx, fmt.Errorf("invalid WriteHeader code %v from %v", err.HTTPStatusCode, err.Code))
		err.HTTPStatusCode = http.StatusInternalServerError
	}

	// Generate error response.
	errorResponse := getAPIErrorResponse(ctx, err, reqURL.Path,
		w.Header().Get(xhttp.AmzRequestID), w.Header().Get(xhttp.AmzRequestHostID))

)

// loadClusterConfigMetrics - `MetricsLoaderFn` for cluster config
// such as standard and RRS parity.
func loadClusterConfigMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {
		metricsLogIf(ctx, err)
	} else {
		m.Set(configStandardParity, float64(clusterDriveMetrics.storageInfo.Backend.StandardSCParity))

// loadAPIRequestsHTTPMetrics - reads S3 HTTP metrics.
//
// This is a `MetricsLoaderFn`.
//
// This includes node level S3 HTTP metrics.
//
// This function currently ignores `opts`.
func loadAPIRequestsHTTPMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	// Collect node level S3 HTTP metrics.
	httpStats := globalHTTPStats.toServerHTTPStats(false)

	// Currently we only collect S3 API related stats, so we set the "type"

}

// DialContext is a function to make custom Dial for internode communications
type DialContext func(ctx context.Context, network, address string) (net.Conn, error)

// NewInternodeDialContext setups a custom dialer for internode communication
func NewInternodeDialContext(dialTimeout time.Duration, opts TCPOptions) DialContext {
	return func(ctx context.Context, network, addr string) (net.Conn, error) {
		dialer := &net.Dialer{

  int device_id = 0;
  if (parsed_name.has_id) {
    device_id = parsed_name.id;
  }

  ctx.device_id = device_id;
  if (device_type == "CPU") {
    ctx.device_type = DLDeviceType::kDLCPU;
  } else if (device_type == "GPU") {
#if TENSORFLOW_USE_ROCM
    ctx.device_type = DLDeviceType::kDLROCM;
#else
    ctx.device_type = DLDeviceType::kDLCUDA;
#endif
  } else {