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#!/usr/bin/env python
# SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2017, ARM Limited, Google, and contributors.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
from conf import LisaLogging
LisaLogging.setup()
import json
import os
import devlib
from env import TestEnv
from android import Screen, Workload, System
from trace import Trace
import trappy
import pandas as pd
import sqlite3
import argparse
import shutil
from time import sleep
parser = argparse.ArgumentParser(description='CpuFrequency tests')
parser.add_argument('--out_prefix', dest='out_prefix', action='store',
default='default',
help='prefix for out directory')
parser.add_argument('--duration', dest='duration_s', action='store',
default=30, type=int,
help='Duration of test (default 30s)')
parser.add_argument('--serial', dest='serial', action='store',
help='Serial number of device to test')
args = parser.parse_args()
CRITICAL_TASKS = [
"/system/bin/sh", "adbd", "/init"
]
def outfiles(on_cpus, freq):
cpu_str = ''.join('{}-'.format(c) for c in on_cpus)
samples = 'cpus{}freq{}-samples.csv'.format(cpu_str, freq)
energy = 'cpus{}freq{}-energy.json'.format(cpu_str, freq)
return energy, samples
def update_cpus(target, on_cpus, off_cpus):
for cpu in on_cpus:
target.hotplug.online(cpu)
for cpu in off_cpus:
target.hotplug.offline(cpu)
def experiment():
# Check if the dhyrstone binary is on the device
dhrystone = os.path.join(target.executables_directory, 'dhrystone')
if not target.file_exists(dhrystone):
raise RuntimeError('dhrystone could not be located here: {}'.format(
dhrystone))
# Create results directory
outdir=te.res_dir + '_' + args.out_prefix
try:
shutil.rmtree(outdir)
except:
print "couldn't remove " + outdir
pass
os.makedirs(outdir)
# Get clusters and cpus
clusters = te.topology.get_level('cluster')
cpus = [cpu for cluster in clusters for cpu in cluster]
# Prevent screen from dozing
Screen.set_doze_always_on(target, on=False)
# Turn on airplane mode
System.set_airplane_mode(target, on=True)
# Turn off screen
Screen.set_screen(target, on=False)
# Store governors so they can be restored later
governors = [ target.cpufreq.get_governor(cpu) for cpu in cpus]
# Set the governer to userspace so the cpu frequencies can be set
target.hotplug.online_all()
target.cpufreq.set_all_governors('userspace')
# Freeze all non critical tasks
target.cgroups.freeze(exclude=CRITICAL_TASKS)
# For each cluster
for cluster in clusters:
# Remove all userspace tasks from the cluster
target_cg, _ = target.cgroups.isolate(cluster)
# For each frequency on the cluster
for freq in target.cpufreq.list_frequencies(cluster[0]):
# Keep track of offline and online cpus
off_cpus = cpus[:]
on_cpus = []
# For each cpu in the cluster
for cpu in cluster:
# Add the current cpu to the online list and remove it from the
# offline list
on_cpus.append(cpu)
off_cpus.remove(cpu)
# Bring the on_cpus online and take the off_cpus offline
update_cpus(target, on_cpus, off_cpus)
# Update the target cgroup in case hotplugging has introduced
# any errors
target_cg.set(cpus=on_cpus)
# Switch the output file so the previous samples are not overwritten
energy, samples = outfiles(on_cpus, freq)
# Set cpu frequency for the newly add cpu
target.cpufreq.set_frequency(cpu, freq)
# Run dhrystone benchmark for longer than the requested time so
# we have extra time to set up the measuring device
target.execute('nohup {} -t {} -r {} 2>/dev/null 1>/dev/null'
' &'.format(dhrystone, len(on_cpus), args.duration_s+60))
# Start measuring
te.emeter.reset()
# Sleep for the required time
sleep(args.duration_s)
# Stop measuring
te.emeter.report(outdir, out_energy=energy, out_samples=samples)
# Kill dhrystone so it does not affect the next measurement
pids = target.killall('dhyrstone')
# Restore all the cpus
target.hotplug.online_all()
# Restore all governors
for i, governor in enumerate(governors):
target.cpufreq.set_governor(cpus[i], governor)
# Restore non critical tasks
target.cgroups.freeze(thaw=True)
# Dump platform
te.platform_dump(outdir)
te._log.info('RESULTS are in out directory: {}'.format(outdir))
# Setup target configuration
my_conf = {
# Target platform and board
"platform" : 'android',
# Useful for reading names of little/big cluster
# and energy model info, its device specific and use
# only if needed for analysis
# "board" : 'pixel',
# Device
# By default the device connected is detected, but if more than 1
# device, override the following to get a specific device.
# "device" : "HT6880200489",
# Folder where all the results will be collected
"results_dir" : "CpuFrequency",
# Define devlib modules to load
"modules" : [
'cpufreq', # enable CPUFreq support
'hotplug', # enable hotplug support
'cgroups', # enable cgroups support
],
"emeter" : {
'instrument': 'monsoon',
'conf': { }
},
# Tools required by the experiments
"tools" : [ ],
"skip_nrg_model" : True,
}
if args.serial:
my_conf["device"] = args.serial
# Initialize a test environment using:
te = TestEnv(my_conf, wipe=False)
target = te.target
results = experiment()
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