def testExpectedResults(self):
"""Test a simply trace will output all expected results."""
model = model_module.TimelineModel()
test_thread = model.GetOrCreateProcess(1).GetOrCreateThread(2)
for slice_item in _CreateGPUSlices(test_thread, 'test_item', 100, 10):
_AddSliceToThread(test_thread, slice_item)
model.FinalizeImport()
metric = gpu_timeline.GPUTimelineMetric()
results = self.GetResults(metric,
model=model,
renderer_thread=test_thread,
interaction_records=INTERACTION_RECORDS)
for name, src_type in (('swap', None), ('total', 'cpu'), ('total',
'gpu')):
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, src_type, 'max'), 'ms', 10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, src_type, 'mean'), 'ms', 10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, src_type, 'stddev'), 'ms', 0)
for tracked_name in gpu_timeline.TRACKED_GL_CONTEXT_NAME.values():
for source_type in ('cpu', 'gpu'):
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(tracked_name, source_type,
'max'), 'ms', 0)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(tracked_name, source_type,
'mean'), 'ms', 0)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(tracked_name, source_type,
'stddev'), 'ms', 0)
def testTrackedNameWithContextIDTraces(self):
"""Be sure tracked names with context IDs are recorded correctly."""
self.assertGreater(len(gpu_timeline.TRACKED_GL_CONTEXT_NAME), 0)
marker, result = gpu_timeline.TRACKED_GL_CONTEXT_NAME.iteritems().next(
)
context_id = '-0x1234'
model = model_module.TimelineModel()
test_thread = model.GetOrCreateProcess(1).GetOrCreateThread(2)
for slice_item in _CreateGPUSlices(test_thread, marker + context_id,
100, 10):
_AddSliceToThread(test_thread, slice_item)
model.FinalizeImport()
metric = gpu_timeline.GPUTimelineMetric()
results = self.GetResults(metric,
model=model,
renderer_thread=test_thread,
interaction_records=INTERACTION_RECORDS)
for source_type in ('cpu', 'gpu'):
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result, source_type, 'max'), 'ms',
10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result, source_type, 'mean'), 'ms',
10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result, source_type, 'stddev'), 'ms',
0)
def testFrameSeparationBeforeMarker(self):
"""Test frames are correctly calculated using the frame end marker."""
model = model_module.TimelineModel()
test_thread = model.GetOrCreateProcess(1).GetOrCreateThread(2)
# Mark frame end.
for slice_item in _CreateFrameEndSlices(test_thread, 105, 5):
_AddSliceToThread(test_thread, slice_item)
# First frame is 10 seconds.
for slice_item in _CreateGPUSlices(test_thread, 'test_item', 100, 10):
_AddSliceToThread(test_thread, slice_item)
# Second frame is 20 seconds.
for slice_item in _CreateGPUSlices(test_thread, 'test_item', 110, 20):
_AddSliceToThread(test_thread, slice_item)
model.FinalizeImport()
metric = gpu_timeline.GPUTimelineMetric()
results = self.GetResults(metric,
model=model,
renderer_thread=test_thread,
interaction_records=INTERACTION_RECORDS)
for name, src_type in (('swap', None), ('total', 'cpu'), ('total',
'gpu')):
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, src_type, 'max'), 'ms', 20)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, src_type, 'mean'), 'ms', 15)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, src_type, 'stddev'), 'ms', 5)
def CreateTimelineBasedMeasurementOptions(self):
cat_string = ','.join(TOPLEVEL_CATEGORIES)
cat_filter = tracing_category_filter.TracingCategoryFilter(cat_string)
options = timeline_based_measurement.Options(overhead_level=cat_filter)
options.SetTimelineBasedMetrics([gpu_timeline.GPUTimelineMetric()])
return options
def _GetAllTimelineBasedMetrics():
# TODO(nednguyen): use discovery pattern to return all the instances of
# all TimelineBasedMetrics class in web_perf/metrics/ folder.
# This cannot be done until crbug.com/460208 is fixed.
return (smoothness.SmoothnessMetric(),
responsiveness_metric.ResponsivenessMetric(),
layout.LayoutMetric(), gpu_timeline.GPUTimelineMetric())
def _GetAllLegacyTimelineBasedMetrics():
# TODO(nednguyen): use discovery pattern to return all the instances of
# all TimelineBasedMetrics class in web_perf/metrics/ folder.
# This cannot be done until crbug.com/460208 is fixed.
return (smoothness.SmoothnessMetric(), layout.LayoutMetric(),
gpu_timeline.GPUTimelineMetric(),
blob_timeline.BlobTimelineMetric(),
indexeddb_timeline.IndexedDBTimelineMetric(),
webrtc_rendering_timeline.WebRtcRenderingTimelineMetric())
def testOutOfOrderDeviceTraces(self):
"""Out of order device traces are still matched up to correct services."""
self.assertGreaterEqual(len(gpu_timeline.TRACKED_GL_CONTEXT_NAME), 2)
tracked_names_iter = gpu_timeline.TRACKED_GL_CONTEXT_NAME.iteritems()
marker1_name, result1_name = tracked_names_iter.next()
result2_name = result1_name
while result2_name == result1_name:
marker2_name, result2_name = tracked_names_iter.next()
model = model_module.TimelineModel()
test_thread = model.GetOrCreateProcess(1).GetOrCreateThread(2)
# marker1 lasts for 10 seconds.
service_item1, device_item1 = _CreateGPUSlices(test_thread,
marker1_name, 100, 10)
# marker2 lasts for 20 seconds.
service_item2, device_item2 = _CreateGPUSlices(test_thread,
marker2_name, 200, 20)
# Append out of order
_AddSliceToThread(test_thread, service_item1)
_AddSliceToThread(test_thread, service_item2)
_AddSliceToThread(test_thread, device_item2)
_AddSliceToThread(test_thread, device_item1)
model.FinalizeImport()
metric = gpu_timeline.GPUTimelineMetric()
results = self.GetResults(metric,
model=model,
renderer_thread=test_thread,
interaction_records=INTERACTION_RECORDS)
for source_type in ('cpu', 'gpu'):
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result1_name, source_type, 'max'),
'ms', 10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result1_name, source_type, 'mean'),
'ms', 10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result1_name, source_type, 'stddev'),
'ms', 0)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result2_name, source_type, 'max'),
'ms', 20)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result2_name, source_type, 'mean'),
'ms', 20)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(result2_name, source_type, 'stddev'),
'ms', 0)
def testNoDeviceTraceResults(self):
"""Test expected results when missing device traces."""
model = model_module.TimelineModel()
test_thread = model.GetOrCreateProcess(1).GetOrCreateThread(2)
service_slice, _ = _CreateGPUSlices(test_thread, 'test_item', 100, 10)
_AddSliceToThread(test_thread, service_slice)
model.FinalizeImport()
metric = gpu_timeline.GPUTimelineMetric()
results = self.GetResults(metric,
model=model,
renderer_thread=test_thread,
interaction_records=INTERACTION_RECORDS)
for name, source_type in (('swap', None), ('total', 'cpu')):
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, source_type, 'max'), 'ms', 10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, source_type, 'mean'), 'ms', 10)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, source_type, 'stddev'), 'ms',
0)
self.assertRaises(AssertionError, results.GetPageSpecificValueNamed,
gpu_timeline.TimelineName('total', 'gpu', 'max'))
self.assertRaises(AssertionError, results.GetPageSpecificValueNamed,
gpu_timeline.TimelineName('total', 'gpu', 'mean'))
self.assertRaises(AssertionError, results.GetPageSpecificValueNamed,
gpu_timeline.TimelineName('total', 'gpu', 'stddev'))
for name in gpu_timeline.TRACKED_GL_CONTEXT_NAME.values():
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, 'cpu', 'max'), 'ms', 0)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, 'cpu', 'mean'), 'ms', 0)
results.AssertHasPageSpecificScalarValue(
gpu_timeline.TimelineName(name, 'cpu', 'stddev'), 'ms', 0)
self.assertRaises(AssertionError,
results.GetPageSpecificValueNamed,
gpu_timeline.TimelineName(name, 'gpu', 'max'))
self.assertRaises(AssertionError,
results.GetPageSpecificValueNamed,
gpu_timeline.TimelineName(name, 'gpu', 'mean'))
self.assertRaises(AssertionError,
results.GetPageSpecificValueNamed,
gpu_timeline.TimelineName(name, 'gpu', 'stddev'))
def testGPUTimesTimelineBasedMeasurementForSmoke(self):
ps = self.CreateEmptyPageSet()
ps.AddStory(TestTimelinebasedMeasurementPage(
ps, ps.base_dir, trigger_animation=True))
cat_filter = chrome_trace_category_filter.ChromeTraceCategoryFilter(
'disabled-by-default-gpu.service')
tbm_option = tbm_module.Options(overhead_level=cat_filter)
tbm_option.SetLegacyTimelineBasedMetrics([gpu_timeline.GPUTimelineMetric()])
tbm = tbm_module.TimelineBasedMeasurement(tbm_option)
results = self.RunMeasurement(tbm, ps, options=self._options)
self.assertEquals(0, len(results.failures))
v = results.FindAllPageSpecificValuesFromIRNamed(
'CenterAnimation', 'browser_compositor_max_cpu_time')
self.assertEquals(len(v), 1)
self.assertGreater(v[0].value, 0)
v = results.FindAllPageSpecificValuesFromIRNamed(
'DrawerAnimation', 'browser_compositor_max_cpu_time')
self.assertEquals(len(v), 1)
self.assertGreater(v[0].value, 0)
