* **Bilgisayar görüsü**: bir görüntü milyonlarca pikselden oluşur, her pikselin 3 değeri / rengi vardır; işleme genellikle bu pikseller üzerinde aynı anda bir şeyler hesaplamayı gerektirir.
* **Makine Öğrenimi**: genellikle çok sayıda "matris" ve "vektör" çarpımı gerekir. Sayılar içeren devasa bir elektronik tabloyu ve hepsini aynı anda çarpmayı düşünün.

	}

	key := getResourceKey(name, labels)
	metric, found := subsysMetrics[key]
	if !found {
		metric = ResourceMetric{
			Name:   name,
			Labels: labels,
		}
	}

	if isCumulative {
		metric.Current = val - metric.Cumulative
		metric.Cumulative = val
	} else {
		metric.Current = val
	}

	if metric.Current > metric.Max {
		metric.Max = val
	}

	metric.Sum += metric.Current

	desc *prometheus.Desc
}

// Describe sends the super-set of all possible descriptors of metrics
func (c *minioCollector) Describe(ch chan<- *prometheus.Desc) {
	ch <- c.desc
}

// Collect is called by the Prometheus registry when collecting metrics.
func (c *minioCollector) Collect(ch chan<- prometheus.Metric) {
	// Expose MinIO's version information
	minioVersionInfo.WithLabelValues(Version, CommitID).Set(1.0)

	scannerMetricCleanAbandoned
	scannerMetricApplyNonCurrent
	scannerMetricHealAbandonedVersion

	// START Trace metrics:
	scannerMetricStartTrace
	scannerMetricScanObject // Scan object. All operations included.
	scannerMetricHealAbandonedObject

	// END realtime metrics:
	scannerMetricLastRealtime

	// Trace only metrics:
	scannerMetricScanFolder      // Scan a folder on disk, recursively.

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          + "metus neque, scelerisque in molestie ac, mattis quis lectus. Pellentesque viverra "
          + "justo commodo quam bibendum ut gravida leo accumsan. Nullam malesuada sagittis diam, "
          + "quis suscipit mauris euismod vulputate. Pellentesque ultrices tellus sed lorem "

)

// 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)

			t = &m
		}

		mx[Total] = *t
		metric := SRMetric{
			ReplicatedSize:  v.ReplicatedSize,
			ReplicatedCount: v.ReplicatedCount,
			DeploymentID:    dID,
			Failed:          v.Failed.toMetric(),
			XferStats:       mx,
		}
		epHealth, ok := epMap[v.Endpoint]
		if ok {
			metric.Endpoint = epHealth.Endpoint
			metric.TotalDowntime = epHealth.offlineDuration
			metric.LastOnline = epHealth.lastOnline

			for _, d := range mg.Descriptors {
				labels := slices.Clone(d.VariableLabels)
				labels = append(labels, commonLabels...)
				metric := metricDisplay{
					Name:   mg.MetricFQN(d.Name),
					Help:   d.Help,
					Type:   d.Type.String(),
					Labels: labels,
				}
				metrics = append(metrics, metric)
			}
		}
	}

	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {

  /* Want to test simple MatMul example with abstract tensors:
    [[1,2],   *  [[5,6],   =   [[19,22],
     [3,4]]       [7,8]]        [43,50]]
  */

  // Build 1st Matrix.
  int64_t dims[] = {2, 2};  // Matrices will be 2 x 2
  int num_dims = sizeof(dims) / sizeof(dims[0]);

  float vals1[] = {1.0f, 2.0f, 3.0f, 4.0f};
  TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(ctx, status.get());

type InQueueStats struct {
	nowBytes   int64 `json:"-"`
	nowCount   int64 `json:"-"`
	histCounts metrics.Histogram
	histBytes  metrics.Histogram
}

func newInQueueStats(r metrics.Registry, lbl string) InQueueStats {
	histCounts := metrics.NewHistogram(metrics.NewUniformSample(100))
	histBytes := metrics.NewHistogram(metrics.NewUniformSample(100))

	r.Register("replication.queue.counts."+lbl, histCounts)