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# -*- encoding=utf-8 -*-
from yade import pack, export, geom, timing, bodiesHandling
import time, numpy
# The original regular test parameters
radRAD = [
23.658, #5000 elements
40.455, #25000 elements
50.97, #50000 elements
64.218, #100000 elements
80.91, #200000 elements
#109.811, #500000 elements
]
iterN = [
12000, #5000 elements
2500, #25000 elements
1400, #50000 elements
800, #100000 elements
200, #200000 elements
#10, #500000 elements
]
coefCor = [
110,
28,
18,
9,
2,
#0.1,
]
numberTests = 3
numThreads = os.environ['OMP_NUM_THREADS'] if (len(os.environ['OMP_NUM_THREADS']) == 2) else ('0' + os.environ['OMP_NUM_THREADS'])
if (yade.runtime.opts.stdperformance):
radRAD = [30.77]
iterN = [7000]
coefCor = [9]
numberTests = int(yade.runtime.opts.stdperformance)
print(
"\033[93m Running --stdperformance " + str(yade.runtime.opts.stdperformance) + " times, testing: 10000 spheres, " + str(iterN) +
" iterations, average over " + str(numberTests) + " runs. Threads: " + str(numThreads) + "\033[0m"
)
elif (yade.runtime.opts.quickperformance):
radRAD = [23.658]
iterN = [2000]
coefCor = [110]
numberTests = 2
print(
"\033[93m Running --quickperformance test: 5000 spheres, " + str(iterN) + " iterations, average over " + str(numberTests) + " runs. Threads: " +
str(numThreads) + "\033[0m"
)
else:
print("\033[93m Running regular --performance test. Threads: " + str(numThreads) + "\033[0m")
iterVel = []
testTime = []
particlesNumber = []
data = []
initIter = 1 # number of initial iterations excluded from performance check (e.g. Collider is initialised in first step therefore exclude first step from performance check)
tStartAll = time.time()
def calcAverageSoFar(numberSoFar, iterVelSoFar, lenTests, ii):
iterVelNumpy = numpy.empty(numberSoFar)
for z in range(numberSoFar):
iterVelNumpy[z] = iterVelSoFar[z * lenTests + ii]
avgVel = numpy.average(iterVelNumpy)
dispVel = numpy.std(iterVelNumpy) / numpy.average(iterVelNumpy) * 100.0
return iterVelNumpy, avgVel, dispVel
while len(iterVel) < (numberTests * len(radRAD)):
for i in range(len(radRAD)):
rR = radRAD[i]
nbIter = iterN[i]
O.reset()
tc = 0.001
en = .003
es = .003
frictionAngle = radians(35)
density = 2300
defMat = O.materials.append(ViscElMat(density=density, frictionAngle=frictionAngle, tc=tc, en=en, et=es))
O.dt = .1 * tc # time step
rad = 0.5 # particle radius
tolerance = 0.0001
SpheresID = []
SpheresID += O.bodies.append(
pack.regularHexa(pack.inSphere((Vector3(0.0, 0.0, 0.0)), rad), radius=rad / rR, gap=rad / rR * 0.5, material=defMat)
)
geometryParameters = bodiesHandling.spheresPackDimensions(SpheresID)
print(len(SpheresID))
floorId = []
floorId += O.bodies.append(geom.facetBox(geometryParameters['center'], geometryParameters['extends'] / 2.0 * 1.05, material=defMat)) #Floor
#Calculate the mass of spheres
sphMass = getSpheresVolume() * density
# Create engines
O.engines = [
ForceResetter(),
InsertionSortCollider([Bo1_Sphere_Aabb(), Bo1_Facet_Aabb()]),
InteractionLoop(
[Ig2_Sphere_Sphere_ScGeom(), Ig2_Facet_Sphere_ScGeom()],
[Ip2_ViscElMat_ViscElMat_ViscElPhys()],
[Law2_ScGeom_ViscElPhys_Basic()],
),
NewtonIntegrator(damping=0, gravity=[0, -9.81, 0]),
]
print("number of bodies %d" % len(O.bodies))
# Initialize the collider else it is not possible to compare the results with different nbIter
O.run(initIter, 1)
O.timingEnabled = True
timing.reset()
tStart = time.time()
# run nbIter iterations
O.run(nbIter)
O.wait()
tEnd = time.time()
print()
print('Elapsed ', tEnd - tStart, ' sec')
print('Performance ', nbIter / (tEnd - tStart), ' iter/sec')
print('Extrapolation on 1e5 iters ', (tEnd - tStart) / nbIter * 1e5 / 3600., ' hours')
print("=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*")
timing.stats()
iterVel += [nbIter / (tEnd - tStart)]
testTime += [tEnd - tStart]
particlesNumber += [len(O.bodies)]
tEndAll = time.time()
commonTime = tEndAll - tStartAll
print("Common time ", commonTime, "s")
print()
print()
print("___________________________________________________")
print()
print("\033[93m SUMMARY\033[0m")
print()
scoreIterVel = 0.0
for i in range(len(radRAD)):
iterVelNumpy, avgVel, dispVel = calcAverageSoFar(numberTests, iterVel, len(radRAD), i)
if (dispVel > 10.):
print("Calculation velocity is unstable, try to close all programs and start performance tests again")
print(particlesNumber[i], " spheres,\033[93m calculation velocity=", avgVel, "iter/sec +/-", dispVel, "%\033[0m")
data += [[particlesNumber[i], avgVel, avgVel * dispVel / 100.]]
scoreIterVel += avgVel / coefCor[i] * 1000.0
print()
scoreIterVel = int(scoreIterVel)
## write output file for graph
import subprocess
cmd = "cat /proc/cpuinfo | grep \'model name\' | uniq"
#processor = subprocess.check_output(cmd, shell=True).lstrip('model name\t:').strip() # needs python >=2.7.0
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
processor = process.communicate()[0].decode().lstrip('model name\t:').strip()
cmd = "cat /proc/cpuinfo | grep processor | wc -l"
#cores = subprocess.check_output("cat /proc/cpuinfo | grep processor | wc -l", shell=True).strip() # needs python >=2.7.0
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
cores = process.communicate()[0].decode().strip()
header = '# ' + processor + ' (' + cores + ' cores)'
filename = version + "_j" + numThreads + ".dat"
#numpy.savetxt(filename,numpy.array(data),fmt=['%i','%g','%g'], header=header) # needs numpy >=1.7.0
fid = open(filename, 'w')
fid.write(header + "\n")
for l in data:
fid.write("%d %f %f\n" % (l[0], l[1], l[2]))
fid.close()
print("Summary saved to " + filename)
print()
print("SCORE: " + str(scoreIterVel))
print("Number of threads: ", os.environ['OMP_NUM_THREADS'])
print("___________________________________________________")
print()
if (not yade.runtime.opts.quickperformance):
print("CPU info:")
cmd = "lscpu"
#cpuinfo=subprocess.check_output(cmd, shell=True) # needs python >=2.7.0
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
cpuinfo = process.communicate()[0].decode().lstrip('model name\t:').strip()
print(cpuinfo)
sys.exit(0)
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