[Telemetry] Output average GPU frequency from power metric

tools/perf/metrics/power.py

Index: tools/perf/metrics/power.py
diff --git a/tools/perf/metrics/power.py b/tools/perf/metrics/power.py
index c115d02e4de4480557823f54a8386791ad6da817..ae7908aa891da1f661fb769c0d93c74fc3370349 100644
--- a/tools/perf/metrics/power.py
+++ b/tools/perf/metrics/power.py
@@ -85,6 +85,12 @@ class PowerMetric(Metric):
     energy_consumption_mwh = self._results['energy_consumption_mwh']
     results.Add('energy_consumption_mwh', 'mWh', energy_consumption_mwh)
 
+    # GPU Frequency.
+    gpu_power = self._results['component_utilization'].get('gpu', None)
+    if gpu_power and gpu_power.has_key('average_frequency_mhz'):
+      gpu_freq_mhz = gpu_power['average_frequency_mhz']
+      results.Add('gpu_average_frequency_hz', 'hz', gpu_freq_mhz * 10 ** 6)

[tonyg, 2014/04/02 16:32:24]

Let's put the API in hz and do whatever conversions there on that side instead.
I like the idea of using unscaled units in all of those stats APIs.

+
     # Add idle wakeup numbers for all processes.
     for process_type in self._results['cpu_stats']:
       trace_name_for_process = 'idle_wakeups_%s' % (process_type.lower())