Namespace: b.pod.Namespace,
				Name:      b.source.Name,
			},
		}
	}

	totalBytes := totalBytes(configMap)
	klog.V(3).Infof("Received configMap %v/%v containing (%v) pieces of data, %v total bytes",
		b.pod.Namespace,
		b.source.Name,
		len(configMap.Data)+len(configMap.BinaryData),
		totalBytes)

	payload, err := MakePayload(b.source.Items, configMap, b.source.DefaultMode, optional)
	if err != nil {

				Namespace: b.pod.Namespace,
				Name:      b.source.SecretName,
			},
		}
	}

	totalBytes := totalSecretBytes(secret)
	klog.V(3).Infof("Received secret %v/%v containing (%v) pieces of data, %v total bytes",
		b.pod.Namespace,
		b.source.SecretName,
		len(secret.Data),
		totalBytes)

	payload, err := MakePayload(b.source.Items, secret, b.source.DefaultMode, optional)
	if err != nil {

		writesAwait:       "Average time for write requests to be served on a drive",
		percUtil:          "Percentage of time the disk was busy",
		usedBytes:         "Used bytes on a drive",
		totalBytes:        "Total bytes on a drive",
		usedInodes:        "Total inodes used on a drive",
		totalInodes:       "Total inodes on a drive",
		cpuUser:           "CPU user time",
		cpuSystem:         "CPU system time",

func (a *AddrRanges) Add(r AddrRange) {
	if !a.mutable {
		throw("attempt to mutate immutable AddrRanges")
	}
	a.add(r.addrRange)
}

// TotalBytes returns the totalBytes field of the addrRanges.
func (a *AddrRanges) TotalBytes() uintptr {
	return a.addrRanges.totalBytes
}

// BitRange represents a range over a bitmap.
type BitRange struct {
	I, N uint // bit index and length in bits
}

		Namespace: bucketMetricNamespace,
		Subsystem: usageSubsystem,
		Name:      totalBytes,
		Help:      "Total bucket size in bytes",
		Type:      gaugeMetric,
	}
}

func getClusterUsageTotalBytesMD() MetricDescription {
	return MetricDescription{
		Namespace: clusterMetricNamespace,
		Subsystem: usageSubsystem,
		Name:      totalBytes,
		Help:      "Total cluster usage in bytes",
		Type:      gaugeMetric,
	}

}

ElementsAttr ConvertTensorOfCustomFloatType(const Tensor& tensor,
                                            RankedTensorType type) {
  auto buffer =
      llvm::ArrayRef(static_cast<char*>(tensor.data()), tensor.TotalBytes());
  return mlir::DenseElementsAttr::getFromRawBuffer(type, buffer);
}

absl::StatusOr<ElementsAttr> ConvertStringTensor(const Tensor& input_tensor,
                                                 ShapedType type) {

    }
  }

  if (allocate_xla_tensors) {
    Tensor output_tensor;
    TF_RETURN_IF_ERROR(
        ctx->allocate_temp(output_dtype, output_shape, &output_tensor));
    if (output_tensor.TotalBytes() > 0) {
      XlaTensor* xla_tensor = XlaTensor::FromTensor(&output_tensor);
      TF_RET_CHECK(xla_tensor);
      xla_tensor->set_shaped_buffer(output.TakeSubTree({output_num}));
      if (use_multiple_streams) {

			cpu.total = samples[i].Value.Float64()
		case "/cpu/classes/user:cpu-seconds":
			cpu.user = samples[i].Value.Float64()
		case "/memory/classes/total:bytes":
			totalVirtual.got = samples[i].Value.Uint64()
		case "/memory/classes/heap/objects:bytes":
			objects.totalBytes = samples[i].Value.Uint64()
		case "/gc/heap/objects:objects":
			objects.total = samples[i].Value.Uint64()
		case "/gc/heap/allocs:bytes":

			}
		}
	}()

	b.SetBytes(totalBytes)
	clientConfig := testConfig.Clone()
	clientConfig.CipherSuites = nil // the defaults may prefer faster ciphers
	clientConfig.DynamicRecordSizingDisabled = dynamicRecordSizingDisabled
	clientConfig.MaxVersion = version

	buf := make([]byte, bufsize)
	chunks := int(math.Ceil(float64(totalBytes) / float64(len(buf))))
	for i := 0; i < N; i++ {

    return 0;
  }
  const tensorflow::Tensor* tensor;
  status->status = handle->Tensor(&tensor);
  if (!status->status.ok()) {
    return 0;
  }
  return tensor->TotalBytes();
}

TFE_Op* TFE_NewOp(TFE_Context* ctx, const char* op_or_function_name,
                  TF_Status* status) {
  tensorflow::ImmediateExecutionOperation* new_op =