case authTypeStreamingSigned, authTypeStreamingSignedTrailer, authTypeStreamingUnsignedTrailer:
		if sizeStr, ok := r.Header[xhttp.AmzDecodedContentLength]; ok {
			if sizeStr[0] == "" {
				writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrMissingContentLength), r.URL)
				return
			}
			size, err = strconv.ParseInt(sizeStr[0], 10, 64)
			if err != nil {
				writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
				return

	case authTypeStreamingSigned, authTypeStreamingSignedTrailer, authTypeStreamingUnsignedTrailer:
		if sizeStr, ok := r.Header[xhttp.AmzDecodedContentLength]; ok {
			if sizeStr[0] == "" {
				writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrMissingContentLength), r.URL)
				return
			}
			size, err = strconv.ParseInt(sizeStr[0], 10, 64)
			if err != nil {
				writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
				return

		s.writeErrorResponse(w, errors.New("invalid request"))
		return
	}

	objAPI := newObjectLayerFn()
	if objAPI == nil {
		s.writeErrorResponse(w, errServerNotInitialized)
		return
	}

	sizeStr := r.Form.Get(peerRESTSize)
	durationStr := r.Form.Get(peerRESTDuration)
	concurrentStr := r.Form.Get(peerRESTConcurrent)
	storageClass := r.Form.Get(peerRESTStorageClass)
	bucketName := r.Form.Get(peerRESTBucket)

					globalObjectPerfBucket),
				StatusCode: http.StatusForbidden,
			}), r.URL)
			return
		}
	}

	sizeStr := r.Form.Get(peerRESTSize)
	durationStr := r.Form.Get(peerRESTDuration)
	concurrentStr := r.Form.Get(peerRESTConcurrent)
	storageClass := strings.TrimSpace(r.Form.Get(peerRESTStorageClass))

      methods));
}

TFE_TensorHandle* TFE_NewTensorHandleFromDeviceMemory(
    TFE_Context* ctx, const char* device_name, TF_DataType dtype,
    const int64_t* dims, int num_dims, void* data, size_t len,
    void (*deallocator)(void* data, size_t len, void* arg),
    void* deallocator_arg, TF_Status* status) {
  tensorflow::Device* device = nullptr;
  tensorflow::EagerContext* context =

                                           size_t length) = 0;
  virtual absl::Status SetAttrTensor(const char* attr_name,
                                     AbstractTensorInterface* tensor) = 0;
  virtual absl::Status SetAttrStringList(const char* attr_name,
                                         const void* const* values,
                                         const size_t* lengths,

  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;
  buf->length = value.length();
  buf->data_deallocator = [](void* data, size_t length) {
    tensorflow::port::Free(data);
  };
}

TFE_MonitoringStringGauge0* TFE_MonitoringNewStringGauge0(
    const char* name, TF_Status* status, const char* description) {

                                 const char* value, size_t length,
                                 ForwardOperation*);
absl::Status SetAttrTensor(AbstractOperation*, const char* attr_name,
                           AbstractTensorInterface* tensor, ForwardOperation*);
absl::Status SetAttrStringList(AbstractOperation*, const char* attr_name,
                               const void* const* values, const size_t* lengths,

}

const char* TF_GraphDebugString(TF_Graph* graph, size_t* len) {
  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {

      const ParallelDevice& parallel_device,
      std::vector<TensorHandlePtr> components, absl::Span<const int64_t> shape,
      TF_Status* status);

  size_t num_tensors() const { return tensors_.size(); }
  TFE_TensorHandle* tensor(size_t index) const { return tensors_[index].get(); }

  // If the `shape` argument to `FromTensorHandles` is specified, returns that.
  //