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#!/usr/bin/python
## Copyright 2009-2020 Intel Corporation
## SPDX-License-Identifier: Apache-2.0
import sys
import os
########################## configuration ##########################
dash = '/'
statDir = 'stat'
name = ''
models = []
########################## rendering ##########################
def baseName(name,model):
return name + '_' + model
def render(name,modelname,model):
executable = tutorial
base = baseName(name,modelname)
os.system('mkdir -p ' + statDir)
logFile = statDir + dash + base + '.log'
if not os.path.exists(logFile):
command = executable
command += ' -c ' + model
for arg in args:
command += ' ' + arg
command += ' -rtcore verbose=2 -benchmark 8 32 > ' + logFile
os.system(command)
def renderLoop():
avgBase = baseName(name,'average')
memory [avgBase] = 0
buildperf[avgBase] = 0
buildperf_gain[avgBase] = 0
sah [avgBase] = 0
fps_avg [avgBase] = 0
fps_sigma[avgBase] = 0
fps_gain [avgBase] = 0
printHeader()
for (modelname,model) in models:
sys.stdout.write(' ' + '{0:<55}'.format(modelname) + ' | ')
render(name,modelname,model)
extract(name,modelname,'')
printData(name,modelname)
########################## data extraction ##########################
memory = {}
memory_gain = {}
buildperf = {}
buildperf_gain = {}
sah = {}
sah_gain = {}
fps_avg = {}
fps_sigma = {}
fps_gain = {}
def extract(name,modelname,prevname):
base = baseName(name,modelname)
prevBase = baseName(prevname,modelname)
avgBase = baseName(name,'average')
logFileName = statDir + dash + base + '.log'
memory [base] = 0
memory_gain[base] = 0
buildperf[base] = 0
buildperf_gain[base] = 0
sah [base] = 0
sah_gain [base] = 0
fps_avg [base] = 0
fps_sigma[base] = 0
fps_gain [base] = 0
try:
logFile = open(logFileName, 'r')
for line in logFile:
if line.count('BENCHMARK_BUILD ') == 1:
numbers = line[(line.index('BENCHMARK_BUILD ')+16):].split(" ")
buildperf[base] += float(numbers[1])
if (prevname != ''):
buildperf_gain[base] = 100.0*buildperf[base]/buildperf[prevBase]-100.0
sah [base] += float(numbers[2])
if (prevname != ''):
sah_gain[base] = 100.0*sah[base]/sah[prevBase]-100.0
memory[base] += float(numbers[3])
if (prevname != ''):
memory_gain[base] = 100.0*memory[base]/memory[prevBase]-100.0
if line.count('BENCHMARK_RENDER_AVG ') == 1:
numbers = line[21:].split(" ")
fps_avg[base] = float(numbers[0])
if (prevname != ''):
fps_gain[base] = 100.0*fps_avg[base]/fps_avg[prevBase]-100.0
if line.count('BENCHMARK_RENDER_AVG_SIGMA ') == 1:
numbers = line[27:].split(" ")
fps_sigma[base] = float(numbers[0])
except IOError :
print('cannot open ' + logFileName)
memory [avgBase] += memory [base] / len(models)
buildperf[avgBase] += buildperf[base] / len(models)
sah [avgBase] += sah [base] / len(models)
fps_avg [avgBase] += fps_avg [base] / len(models)
fps_sigma[avgBase] += fps_sigma[base] / len(models)
if (prevname != ''):
sah_gain [avgBase] += sah_gain [base] / len(models)
memory_gain [avgBase] += memory_gain [base] / len(models)
fps_gain [avgBase] += fps_gain [base] / len(models)
buildperf_gain [avgBase] += buildperf_gain [base] / len(models)
# Extract all data
def extractLoop():
prevname = ''
for name in names:
avgBase = baseName(name,'average')
memory [avgBase] = 0
memory_gain[avgBase] = 0
buildperf[avgBase] = 0
buildperf_gain [avgBase] = 0
sah [avgBase] = 0
sah_gain [avgBase] = 0
fps_avg [avgBase] = 0
fps_sigma[avgBase] = 0
fps_gain [avgBase] = 0
for (modelname,model) in models:
extract(name,modelname,prevname)
prevname = name
def printData(name,modelname):
base = baseName(name,modelname)
line = (' %#6.1f MB' % (1E-6*memory[base]))
line += (' (%#+6.2f%%)' % memory_gain[base])
line += (' %#8.2f M/s' % (1E-6*buildperf[base]))
line += (' (%#+6.2f%%)' % buildperf_gain[base])
line += (' %#7.3f ' % sah[base])
line += (' (%#+6.2f%%)' % sah_gain[base])
line += (' %#7.3f fps' % fps_avg[base])
line += (' +/-%#6.3f%% ' % (100.0*fps_sigma[base]/fps_avg[base]))
line += (' (%#+6.2f%%)' % fps_gain[base])
line += '\n'
sys.stdout.write(line)
def printHeader():
tableWidth = 55 + 102
line = ' ' + '{0:<55}'.format('') + ' | Memory Build SAH Render'
print(line)
line = ''
while (len(line) < tableWidth): line = line + '-'
print(line)
def printDataLoop():
print('')
printHeader()
for (modelname,model) in models:
print(modelname)
for name in names:
sys.stdout.write(' ' + '{0:<55}'.format(name) + ' | ')
printData(name,modelname)
if len(models) > 1:
print('average')
for name in names:
sys.stdout.write(' ' + '{0:<55}'.format(name) + ' | ')
printData(name,'average')
print('')
########################## command line parsing ##########################
def printUsage():
sys.stderr.write('Usage: ' + sys.argv[0] + ' run models name tutorialXX args\n')
sys.stderr.write(' ' + sys.argv[0] + ' print models name1 name2 ...\n')
sys.exit(1)
def readModelsFile(models_file):
global models
path, basename = os.path.split(models_file)
with open(models_file, 'r') as f:
lines = f.readlines()
for line in lines:
line = line.strip('\n')
if line == "": continue;
if line.startswith("#"): continue;
(name,args) = line.split(' ',1);
args2 = os.path.join(path,args.lstrip(' '))
models += [(name,args2)]
if len(sys.argv) < 2:
printUsage()
sys.exit(1)
if sys.argv[1] == 'run':
if len(sys.argv) < 4:
printUsage()
sys.exit(1)
models_file = sys.argv[2]
readModelsFile(models_file)
name = sys.argv[3]
tutorial = sys.argv[4]
args = sys.argv[5:]
renderLoop()
sys.exit(1)
if sys.argv[1] == 'print':
if len(sys.argv) < 5:
printUsage()
sys.exit(1)
models_file = sys.argv[2]
readModelsFile(models_file)
names = sys.argv[3:]
extractLoop()
printDataLoop()
sys.exit(1)
printUsage()
sys.exit(1)
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