{Ldate | Ltime | Lmicroseconds | Lshortfile, "XXX", "XXX" + Rdate + " " + Rtime + Rmicroseconds + " " + Rshortfile + " "},
	{Ldate | Ltime | Lmicroseconds | Llongfile | Lmsgprefix, "XXX", Rdate + " " + Rtime + Rmicroseconds + " " + Rlongfile + " XXX"},
	{Ldate | Ltime | Lmicroseconds | Lshortfile | Lmsgprefix, "XXX", Rdate + " " + Rtime + Rmicroseconds + " " + Rshortfile + " XXX"},
}

			Subsystem: subsystem,
			Name:      "transformation_duration_seconds",
			Help:      "Latencies in seconds of value transformation operations.",
			// In-process transformations (ex. AES CBC) complete on the order of 20 microseconds. However, when
			// external KMS is involved latencies may climb into hundreds of milliseconds.
			Buckets:        metrics.ExponentialBuckets(5e-6, 2, 25),
			StabilityLevel: metrics.ALPHA,
		},

	// Output: I've got 4.5 hours of work left.
}

func ExampleDuration_Microseconds() {
	u, _ := time.ParseDuration("1s")
	fmt.Printf("One second is %d microseconds.\n", u.Microseconds())
	// Output:
	// One second is 1000000 microseconds.
}

func ExampleDuration_Milliseconds() {
	u, _ := time.ParseDuration("1s")
	fmt.Printf("One second is %d milliseconds.\n", u.Milliseconds())
	// Output:

    "/tensorflow/cc/saved_model/load_latency",
    "Latency in microseconds for SavedModels that were successfully loaded.",
    "model_path");
auto* load_latency_by_stage = monitoring::Sampler<2>::New(
    {
        "/tensorflow/cc/saved_model/load_latency_by_stage",  // metric name
        "Distribution of wall time spent (in microseconds) in each stage "
        "(restore graph from disk, run init graph op, etc) when loading the "

                                        int64_t filesize);

// Returns "/tensorflow/core/checkpoint/sharding/callback_duration" cell which
// describes how long it took to execute the checkpoint sharding callback in
// microseconds.
monitoring::CounterCell& ShardingCallbackDuration();

// Returns "/tensorflow/core/checkpoint/sharding/num_checkpoint_shards_written"
// cell which describes how many checkpoint shard files were written during

	labels = append(labels, "api", "")
	lastIdx := len(labels) - 1
	for apiName, latency := range disk.Metrics.LastMinute {
		labels[lastIdx] = "storage." + apiName
		m.Set(driveAPILatencyMicros, float64(latency.Avg().Microseconds()),
			labels...)
	}
}

func (m *MetricValues) setDriveIOStatMetrics(ioStats driveIOStatMetrics, labels []string) {
	m.Set(driveReadsPerSec, ioStats.readsPerSec, labels...)

  return strdup(::tensorflow::io::GetTempFilename(extension).c_str());
}

TF_CAPI_EXPORT extern uint64_t TF_NowNanos(void) {
  return ::tensorflow::Env::Default()->NowNanos();
}

// Returns the number of microseconds since the Unix epoch.
TF_CAPI_EXPORT extern uint64_t TF_NowMicros(void) {
  return ::tensorflow::Env::Default()->NowMicros();
}

// Returns the number of seconds since the Unix epoch.

	systemstack(func() {
		futexsleep1(addr, val, ns)
	})
}

func futexsleep1(addr *uint32, val uint32, ns int64) {
	var timeout int32
	if ns >= 0 {
		// The timeout is specified in microseconds - ensure that we
		// do not end up dividing to zero, which would put us to sleep
		// indefinitely...
		timeout = timediv(ns, 1000, nil)
		if timeout == 0 {
			timeout = 1
		}
	}

  private var nextQueueName = 10000
  private var coordinatorWaiting = false
  private var coordinatorWakeUpAt = 0L

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *

		}
	}
	return w
}

// Nanoseconds returns the duration as an integer nanosecond count.
func (d Duration) Nanoseconds() int64 { return int64(d) }

// Microseconds returns the duration as an integer microsecond count.
func (d Duration) Microseconds() int64 { return int64(d) / 1e3 }

// Milliseconds returns the duration as an integer millisecond count.
func (d Duration) Milliseconds() int64 { return int64(d) / 1e6 }