# a wakeup and another idle nap) can mess up the duty cycle of the
# rt-app task we're running. In our case, a 50% duty cycle, 16ms period
# task would always be active for 8ms, but it would sometimes sleep for
# only 5 or 6 ms.
# This is fine to do this here, as we only care about the proper
# behaviour of the signal on running/not-running tasks.
with target.disable_idle_states():
with target.cpufreq.use_governor('performance'):
cls.run_rtapp(target, res_dir, rtapp_profile, ftrace_coll)
return cls(res_dir, plat_info)
PhaseStats = namedtuple(
"PhaseStats",
['start', 'end', 'area_util', 'area_enqueued', 'area_ewma'],
module=__name__,
)
ActivationSignals = namedtuple(
"ActivationSignals",
['time', 'util_avg', 'util_est_enqueued', 'util_est_ewma'],
module=__name__,
)
class UtilConvergence(UtilTrackingBase):
"""
Basic checks for estimated utilization signals
**Expected Behaviour:**
# only 5 or 6 ms.
# This is fine to do this here, as we only care about the proper
# behaviour of the signal on running/not-running tasks.
with target.disable_idle_states():
with target.cpufreq.use_governor('performance'):
cls.run_rtapp(target,
res_dir,
rtapp_profile,
collector=collector)
return cls(res_dir, plat_info)
PhaseStats = namedtuple(
"PhaseStats",
['start', 'end', 'mean_util', 'mean_enqueued', 'mean_ewma', 'issue'],
module=__name__,
)
ActivationSignals = namedtuple(
"ActivationSignals",
['time', 'util', 'enqueued', 'ewma', 'issue'],
module=__name__,
)
class UtilConvergence(UtilTrackingBase):
"""
Basic checks for estimated utilization signals.
.. attention:: Tests methods of this class assume the kernel has the util