message: [tf.data] Fix documentation and variables names for Iterator GetNext monitoring.
diff: @@ -83,23 +83,24 @@ auto* tf_data_elements_counter = monitoring::Counter<1>::New(
  auto* tf_data_fingerprint_counter = monitoring::Counter<1>::New(
  "/tensorflow/data/fingerprint", "tf.data fingerprint", "name");
  -auto* tf_data_getnext_duration_counter = monitoring::Sampler<0>::New(
  +auto* tf_data_getnext_duration_usecs_histogram = monitoring::Sampler<0>::New(
  {"/tensorflow/data/getnext_duration",
  "Microseconds spent fetching an element from tf.data Dataset iterator."},
  - // Power of 2 with bucket count 10 (1024 ms)
  + // Power of 2 with bucket count 10 (1024 microseconds)
  {monitoring::Buckets::Exponential(1, 2, 10)});
  -auto* tf_data_getnext_time_between_ms_histogram = monitoring::Sampler<0>::New(
  +auto* tf_data_getnext_time_between_msecs_histogram =
  + monitoring::Sampler<0>::New(
  {"/tensorflow/data/getnext_time_between",
  - "Milliseconds spent in between calls to tf.data Dataset TF iterator."},
  + "Milliseconds spent in between calls to tf.data Dataset iterator."},
  // A typical training step is in the 200ms to 1 second range.
  - // Elapsed time less than 25ms are likely due to multiple devices calling
  - // the iterator's getNext() during the same step.
  - // Bucket density is highest for small time intervals to more accurately
  - // measure fast ingest rates. Step sizes are as follows:
  - {monitoring::Buckets::Explicit({25., 50., 75., 100., 125., 150., 175., 200.,
  - 225., 250., 300., 350., 400., 450., 500.,
  - 1000., 10000.})});
  + // Elapsed time less than 25ms are likely due to multiple devices
  + // calling the iterator's getNext() during the same step. Bucket density
  + // is highest for small time intervals to more accurately measure fast
  + // ingest rates. Buckets from 25ms to 10 seconds.
  + {monitoring::Buckets::Explicit({25., 50., 75., 100., 125., 150., 175.,
  + 200., 225., 250., 300., 350., 400.,
  + 450., 500., 1000., 10000.})});
  auto* tf_data_optimization_counter = monitoring::Counter<1>::New(
  "/tensorflow/data/optimization", "tf.data optimization", "name");
  @@ -178,13 +179,13 @@ void RecordTFDataFingerprint(const string& name) {
  void RecordTFDataGetNextDuration(uint64 duration_us) {
  static auto* tfdata_getnext_duration_cell =
  - tf_data_getnext_duration_counter->GetCell();
  + tf_data_getnext_duration_usecs_histogram->GetCell();
  tfdata_getnext_duration_cell->Add(duration_us);
  }
  void RecordTFDataGetNextTimeBetween(uint64 duration_us) {
  static auto* tfdata_getnext_time_between_cell =
  - tf_data_getnext_time_between_ms_histogram->GetCell();
  + tf_data_getnext_time_between_msecs_histogram->GetCell();
  // Convert to milliseconds for histogram
  const auto duration_ms = duration_us / 1000;
  tfdata_getnext_time_between_cell->Add(duration_ms);
  