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Commit 339cfb5c authored by Steve Tonneau's avatar Steve Tonneau
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integrated profiler

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CMakeLists.txt
+ 3
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View file @ 339cfb5c
......@@ -28,6 +28,9 @@ SET(PROJECT_NAME hpp-rbprm-corba)
SET(PROJECT_DESCRIPTION "Corba server for reachability based planning")
SET(PROJECT_URL "")
# Set to 1 for profiling
#~ add_definitions(-DPROFILE)
SET(CUSTOM_HEADER_DIR hpp/corbaserver/rbprm)
SETUP_PROJECT ()
......
profile/profile.py
+ 93
− 47
View file @ 339cfb5c
......@@ -2,58 +2,71 @@
import subprocess as sp
import os
import datetime
scenarios = ['stair_bauzil_hrp2']#,'standing_hrp2','darpa_hrp2']
n_trials = 3
scenarios = ['standing_hrp2']#'stair_bauzil_hrp2','standing_hrp2','darpa_hrp2']
n_trials = 10
stats = ['balance','collision','ik']
python_script_extension = "_interp.py"
analysis = {}
lower = -100000
higher = 100000000
#~
#~ *** PROFILING RESULTS [ms] (min - avg - max - lastTime - nSamples) ***
#~ complete generation 5110.09 5110.09 5110.09 5110.09 1
#~ test balance 0.09 0.22 0.60 0.54 1199
#~ contact: 20
#~ no contact: 8
#~ planner succeeded: 1
#~ unstable contact: 2
#~ path computation 0.81
#~
#~ *** PROFILING RESULTS [ms] (min - avg - max - lastTime - nSamples) ***
#~ complete generation 7162.32 7162.32 7162.32 7162.32 1
#~ test balance 0.09 0.20 0.63 0.50 1431
#~ contact: 21
#~ no contact: 11
#~ planner failed: 1
#~ unstable contact: 3
def avg(l):
if(len(l) == 0):
return -1
return reduce(lambda x, y: x + y, l) / len(l)
def initdata(name, data):
n = name
data[n+'_min'] = higher
data[n+'_max'] = lower
data[n] = []
data['total_'+n+'_min'] = higher
data['total_'+n+'_max'] = lower
data['total_'+n] = []
data['minnum'+n] = higher
data['maxnum'+n] = lower
data['num'+n] = []
def parseLine(sep, name, line, data):
if sep == 1:
_1, _min, _avg, _max, _totaltime, _numiter = line.split()
elif sep ==2:
_1, _2, _min, _avg, _max, _totaltime, _numiter = line.split()
data[name+'_min'] = min(data[name+'_min'],float(_min))
data[name+'_max'] = max(data[name+'_max'],float(_max))
data['minnum'+name] = min(data['minnum'+name],float(_numiter))
data['maxnum'+name] = max(data['maxnum'+name],float(_numiter))
data['num'+name].append(float(_numiter))
for i in range(0,int(_numiter)):
data[name].append(float(_avg))
total_time = float(_totaltime)
data['total_'+name+'_min'] = min(data['total_'+name+'_min'],total_time)
data['total_'+name+'_max'] = max(data['total_'+name+'_max'],total_time)
data['total_'+name].append(total_time)
def parseData(scenario):
filename = scenario+"_log.txt";
#~ os.rename("log.txt", filename)
os.rename("log.txt", filename)
analysis[scenario] = {}
data = analysis[scenario]
data['no contact'] = 0
data['contact'] = 0
data['unstable contact'] = 0
data['balance_min'] = higher
data['balance_max'] = lower
data['balance'] = []
data['minnumbalance'] = higher
data['maxnumbalance'] = lower
data['numbalance'] = []
data['mingen_time'] = higher
data['maxgen_time'] = lower
data['gen_time'] = []
data['failed'] = 0
data['success'] = 0
data['path_time'] = []
data['min_path_time'] = higher
data['max_path_time'] = lower
for stat in stats:
initdata(stat, data)
file = open(filename,"r+");
for line in file.readlines():
if not (line.find('complete generation') == -1):
......@@ -62,15 +75,11 @@ def parseData(scenario):
data['maxgen_time'] = max(data['maxgen_time'],float(time))
data['gen_time'].append(time);
elif not (line.find('test balance') == -1):
print line.split()
_1, _2, _min, _avg, _max, _last, _numiter = line.split()
data['balance_min'] = min(data['balance_min'],float(_min))
data['balance_max'] = max(data['balance_max'],float(_max))
data['minnumbalance'] = min(data['minnumbalance'],float(_numiter))
data['maxnumbalance'] = max(data['maxnumbalance'],float(_numiter))
data['numbalance'].append(float(_numiter))
for i in range(0,1): #int(_numiter)):
data['balance'].append(float(_avg))
parseLine(2, 'balance', line, data)
elif not (line.find('collision') == -1):
parseLine(1, 'collision', line, data)
elif not (line.find('ik') == -1):
parseLine(1, 'ik', line, data)
elif not (line.find('no contact:') == -1):
data['no contact'] = data['no contact'] + float(line.rstrip("\n").split()[2]);
elif not (line.find('unstable contact:') == -1):
......@@ -82,23 +91,60 @@ def parseData(scenario):
elif not (line.find('planner succeeded') == -1):
data['success'] = data['success'] + 1;
elif not (line.find('path computation') == -1):
data['path_time'].append(float(line.rstrip("\n").split()[2]));
time = float(line.rstrip("\n").split()[2])
data['path_time'].append(time);
data['min_path_time'] = min(data['min_path_time'],time)
data['max_path_time'] = max(data['max_path_time'],time)
def printOneStat(f, name, data, g_time, tTime):
n = name
d = data
print(n, len(d[n]))
d[n] = avg(d[n])
d['num'+n] = avg(d['num'+n])
d['total_'+n] = avg(d['total_'+n])
f.write (n +" tests: \n")
f.write ("\t single operation time (min / avg / max):\n \t " + str(d[n+'_min']) + "\t" + str(d[n]) + "\t" + str(d[n+'_max']) + "\t \n")
f.write ("\t total time (min / avg / max / % of total / % of total wtht path planning):\n \t " + str(d['total_'+n+'_min']) + "\t" + str(d['total_'+n]) + "\t" + str(d['total_'+n+'_max']) + "\t" + str(float(d['total_'+n]) / tTime * 100) + "%" + "\t" + str(float(d['total_'+n]) / g_time * 100) + "%\n")
f.write ("\t number of tests (min / avg / max):\n \t " + str(d['minnum'+n]) + "\t" + str(d['num'+n]) + "\t" + str(d['maxnum'+n]) + "\n")
def analyzeData():
f = open("log_"+str(datetime.datetime.now())+".txt","w+")
for scenario in scenarios:
data = analysis[scenario]
data['balance'] = avg(data['balance'])
data['numbalance'] = avg(data['numbalance'])
data['path_time'] = avg(data['path_time'])
data['gen_time'] = avg(data['gen_time'])
print(analysis)
d = analysis[scenario]
d['path_time'] = avg(d['path_time'])
d['gen_time'] = avg(d['gen_time'])
g_time = d['gen_time']
tTime = d['gen_time'] + d['path_time']
f.write (scenario +":\n")
f.write ("total computation time (min / avg / max): " + str(d['mingen_time'] + d['min_path_time']) + "\t" + str(tTime) + "\t" + str(d['maxgen_time'] + d['max_path_time']) + "\n")
f.write ("generation time (without RRT) (min / avg / max / % of total):\n \t " + str(d['mingen_time']) + "\t" + str(d['gen_time']) + "\t" + str(d['maxgen_time']) + "\t"+ str(float(d['gen_time']) / tTime * 100) + "%\n")
f.write ("path computation: \n")
f.write ("\t time (min / avg / max / % of total):\n \t " + str(d['min_path_time']) + "\t" + str(d['path_time']) + "\t" + str(d['max_path_time']) + "\t" + str(float(d['path_time']) / tTime * 100) + "%\n")
for stat in stats:
printOneStat(f, stat, d, g_time, tTime)
f.write ("number of successes / failures / ratio: " + str(d['success']) + "\t" + str(d['failed']) + "\t" + str(float(d['success']) / float(d['success']) * 100) + "%\n")
nc = float(d['no contact'])
c = float(d['contact'])
uc = float(d['unstable contact'])
tc = nc + c + uc
f.write ("% of failed contact generation (no candidates found): " + str(nc / tc * 100) + "%\n")
f.write ("% of unstable contact generation (no balanced candidates found): " + str(uc / tc * 100) + "%\n")
f.write ("\n \n \n")
f.close()
for scenario in scenarios:
for i in range(0,n_trials):
var = scenario+python_script_extension;
#~ print(var);
#~ sp.check_call(["./profile.sh", str(var)]);
# move log
sp.check_call(["./profile.sh", str(var)]);
parseData(scenario)
analyzeData()
#~ os.rename("logpath.txt", scenario+"_log_path.txt")
script/scenarios/run.sh 0 → 100755
+ 8
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View file @ 339cfb5c
#!/bin/bash
gepetto-viewer-server &
hpp-rbprm-server &
ipython -i ./$1
pkill -f 'gepetto-viewer-server'
pkill -f 'hpp-rbprm-server'
script/scenarios/rund.sh 0 → 100755
+ 6
− 0
View file @ 339cfb5c
#!/bin/bash
gepetto-viewer-server &
ipython -i ./$1
pkill -f 'gepetto-viewer-server'
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