NOTE: caiman is required to collect data from the probe. Instructions on how to install it can be found here https://github.com/ARM-software/lisa/wiki/Energy-Meters-Requirements#arm-energy-probe-aep.
In [1]:
import logging
from conf import LisaLogging
LisaLogging.setup()
In [2]:
# Generate plots inline
%matplotlib inline
import os
# Support to access the remote target
import devlib
from env import TestEnv
# RTApp configurator for generation of PERIODIC tasks
from wlgen import RTA, Ramp
In [3]:
# Setup target configuration
my_conf = {
# Target platform and board
"platform" : 'linux',
"board" : 'juno',
"host" : '192.168.0.1',
# Folder where all the results will be collected
"results_dir" : "EnergyMeter_AEP",
# Define devlib modules to load
"modules" : ["cpufreq"], # Required by rt-app calibration
"exclude_modules" : [ 'hwmon' ],
# Energy Meters Configuration for ARM Energy Probe
"emeter" : {
"instrument" : "aep",
"conf" : {
# Value of the shunt resistor in Ohm
'resistor_values' : [0.099],
# Device entry assigned to the probe on the host
'device_entry' : '/dev/ttyACM0',
},
'channel_map' : {
'BAT' : 'BAT'
}
},
# Tools required by the experiments
"tools" : [ 'trace-cmd', 'rt-app' ],
# Comment this line to calibrate RTApp in your own platform
# "rtapp-calib" : {"0": 360, "1": 142, "2": 138, "3": 352, "4": 352, "5": 353},
}
In [4]:
# Initialize a test environment using:
te = TestEnv(my_conf, wipe=False, force_new=True)
target = te.target
Detailed information on RTApp can be found in examples/wlgen/rtapp_example.ipynb.
Each EnergyMeter derived class has two main methods: reset and report.
In [5]:
# Create and RTApp RAMP task
rtapp = RTA(te.target, 'ramp', calibration=te.calibration())
rtapp.conf(kind='profile',
params={
'ramp' : Ramp(
start_pct = 60,
end_pct = 20,
delta_pct = 5,
time_s = 0.5).get()
})
# EnergyMeter Start
te.emeter.reset()
rtapp.run(out_dir=te.res_dir)
# EnergyMeter Stop and samples collection
nrg_report = te.emeter.report(te.res_dir)
In [6]:
logging.info("Collected data:")
!tree $te.res_dir
In [7]:
logging.info("Measured channels energy:")
logging.info("%s", nrg_report.channels)
In [8]:
logging.info("Generated energy file:")
logging.info(" %s", nrg_report.report_file)
!cat $nrg_report.report_file
In [9]:
logging.info("Samples collected for the BAT channel (only first 10)")
samples_file = os.path.join(te.res_dir, 'samples.csv')
!head $samples_file