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#!/usr/bin/python
#
# SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2015, ARM Limited 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 sys
# sys.path.insert(1, "./libs")
from perf_analysis import PerfAnalysis
from trace import Trace
import os
import re
import argparse
import json
# Configure logging
import logging
reload(logging)
logging.basicConfig(
format='%(asctime)-9s %(levelname)-8s: %(message)s',
level=logging.DEBUG,
# level=logging.INFO,
datefmt='%I:%M:%S')
# Regexp to match the format of a result folder
TEST_DIR_RE = re.compile(
r'([^:]*):([^:]*):([^:]*)'
)
parser = argparse.ArgumentParser(
description='EAS Performance and Trace Plotter')
parser.add_argument('--results', type=str,
default='./results_latest',
help='Folder containing experimental results')
parser.add_argument('--outdir', type=str,
default=None,
help='A single output folder we want to produce plots for')
parser.add_argument('--tmin', type=float,
default=None,
help='Minimum timestamp for all plots')
parser.add_argument('--tmax', type=float,
default=None,
help='Maximum timestamp for all plots')
parser.add_argument('--plots', type=str,
default='all',
help='List of plots to produce (all,')
args = None
def main():
global args
args = parser.parse_args()
# Setup plots to produce
if args.plots == 'all':
args.plots = 'tasks clusters cpus stune ediff edspace'
# For each rtapp and each run
if args.outdir is not None:
# Load platform descriptior
platform = None
plt_file = os.path.join(args.outdir, 'platform.json')
if os.path.isfile(plt_file):
with open(plt_file, 'r') as ifile:
platform = json.load(ifile)
logging.info('Platform description:')
logging.info(' %s', platform)
# Plot the specified results folder
return plotdir(args.outdir, platform)
for test_idx in sorted(os.listdir(args.results)):
match = TEST_DIR_RE.search(test_idx)
if match == None:
continue
wtype = match.group(1)
conf_idx = match.group(2)
wload_idx = match.group(3)
# Generate performance plots only for RTApp workloads
if wtype != 'rtapp':
continue
logging.debug('Processing [%s:%s:%s]...',
wtype, conf_idx, wload_idx)
# For each run of an rt-app workload
test_dir = os.path.join(args.results, test_idx)
# Load platform descriptior
platform = None
plt_file = os.path.join(test_dir, 'platform.json')
if os.path.isfile(plt_file):
with open(plt_file, 'r') as ifile:
platform = json.load(ifile)
logging.info('Platform description:')
logging.info(' %s', platform)
for run_idx in sorted(os.listdir(test_dir)):
run_dir = os.path.join(test_dir, run_idx)
try:
run_id = int(run_idx)
except ValueError:
continue
logging.info('Generate plots for [%s]...', run_dir)
plotdir(run_dir, platform)
def plotdir(run_dir, platform):
global args
tasks = None
pa = None
# Load RTApp performance data
try:
pa = PerfAnalysis(run_dir)
# Get the list of RTApp tasks
tasks = pa.tasks()
logging.info('Tasks: %s', tasks)
except ValueError:
pa = None
logging.info('No performance data found')
# Load Trace Analysis modules
trace = Trace(platform, run_dir)
# Define time ranges for all the temporal plots
trace.setXTimeRange(args.tmin, args.tmax)
# Tasks plots
if 'tasks' in args.plots:
trace.analysis.tasks.plotTasks(tasks)
if pa:
for task in tasks:
pa.plotPerf(task)
# Cluster and CPUs plots
if 'clusters' in args.plots:
trace.analysis.frequency.plotClusterFrequencies()
if 'cpus' in args.plots:
trace.analysis.cpus.plotCPU()
# SchedTune plots
if 'stune' in args.plots:
trace.analysis.eas.plotSchedTuneConf()
if 'ediff' in args.plots:
trace.analysis.eas.plotEDiffTime();
if 'edspace' in args.plots:
trace.analysis.eas.plotEDiffSpace();
if __name__ == "__main__":
main()
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