yade-users team mailing list archive

[Gao Xiang <question702325@xxxxxxxxxxxxxxxxxxxxx>]

New question #702325 on Yade:
https://answers.launchpad.net/yade/+question/702325

Hi all:
I want to use many scenes in single simulations, so I used O.switchToScene() to achieve it, and used O.run(nsteps, True) to calculate for every step in a loop.
My question is that the  memory usage will increase by about 3MB after every "O.run(nsteps, True) " code,  because there are so many  scenes and  cycleindex , after executing "O.run(nsteps, True) " code many times， then Yade crashes .

Here are some part of my code:

.....
def shear2D(param)
    swap = psutil.swap_memory()
    O.switchToScene(param[0])
    ns = int(min(max(1e5 * numpy.max(numpy.abs(param[1])), 2),50))
    dstrain = utils.Matrix3(param[1][0], param[1][1], 0, param[1][3], param[1][2], 0, 0, 0, 0)
    Omega().cell.velGrad = dstrain / (ns * Omega().dt)

    print(u'Remaining memory_1：', psutil.virtual_memory().available  / 1024.0 / 1024.0 / 1024.0)
    print(u'used swap_1：', swap.used / 1024.0 / 1024.0 / 1024.0)

    O.run(ns, True)

    print(u'Remaining memory_2：', psutil.virtual_memory().available  / 1024.0 / 1024.0 / 1024.0)
    print(u'used swap_2：', swap.used / 1024.0 / 1024.0 / 1024.0)

    Omega().cell.velGrad = utils.Matrix3.Zero
    deformation = Omega().cell.getSmallStrain().norm() 
    st_1 = utils.getStressAndTangent(symmetry=True)
    s_1 = st_1[0]
    s_1 = .5 * (s_1 + s_1.transpose())  
    stress_dem = [s_1[0, 0], s_1[0, 1], s_1[1, 1], s_1[2, 2]]  # deformed stress
.....
 # the loop likes followings          
 for i in scenesID:
         shear2D((i,strain[i-1]))


I'm sure that  the memory increases only  relating to  " O.run(ns, True)"  by checking every each line of code，therefore I want to know the reason and how to fix it.
THANK YOU!!!

-- 
You received this question notification because your team yade-users is
an answer contact for Yade.