ffc team mailing list archive

["Garth N. Wells" <g.n.wells@xxxxxxxxxx>]

Anders Logg wrote:
> On Fri, May 25, 2007 at 09:01:04AM +0200, Garth N. Wells wrote:
> > Anders Logg wrote:
> > > I'm pretty sure the problem is a few changes we made to get BDM
> > > elements working. I was looking at it but ran out of time. I'll fix it
> > > as soon as I can (which should be early next week). If you want to
> > > take a look, try to find out at which changeset it broke.
> > I tried to find an old changeset, but it still didn't work. I think that 
> > the example has an extra factor in it (which I didn't have before) which 
> > breaks things. It does work with quadrature.
> >
> > Garth
>
> Could it just be that numpy is generating the error since FFC tries to
> create an array that is too large? (Product of all dimensions.)

Yes. I had a quick look on the net, but couldn't find information on the 
limitations of numpy.

Garth

> /Anders
>
>
> > > I tried to simplify the form a bit and find the simplest possible form
> > > where it still breaks, but it seems it only breaks if the form is
> > > complicated enough (has enough factors in it).
> > >
> > > /Anders
> > >
> > >
> > > On Thu, May 24, 2007 at 09:55:15PM +0200, Garth N. Wells wrote:
> > > > Any ideas what going on here? It's causing problem for me.
> > > >
> > > > Garth
> > > >
> > > > Anders Logg wrote:
> > > > > I'll take a look.
> > > > >
> > > > > /Anders
> > > > >
> > > > >
> > > > > On Thu, May 17, 2007 at 03:45:10PM +0200, Garth N. Wells wrote:
> > > > > > When trying to compile a form file, I'm getting the error
> > > > > >
> > > > > > Computing tensor representation for term 0... *** dimensions too large.
> > > > > > *** To get more information about this error, rerun ffc with the option -d1.
> > > > > >
> > > > > > Running with -d1,
> > > > > >
> > > > > >   File
> > > > > > "/usr/lib/python2.5/site-packages/ffc/compiler/representation/tensor/monomialintegration.py", 
> > > > > >
> > > > > > line 54, in integrate
> > > > > >      A0 = __compute_product(psis, vscaling * monomial.numeric * weights)
> > > > > >    File
> > > > > > "/usr/lib/python2.5/site-packages/ffc/compiler/representation/tensor/monomialintegration.py", 
> > > > > >
> > > > > > line 268, in __compute_product
> > > > > >      A0 = numpy.transpose(A0, rearrangement)
> > > > > >    File "/usr/lib/python2.5/site-packages/numpy/core/fromnumeric.py",
> > > > > > line 118, in transpose
> > > > > >      return transpose(axes)
> > > > > > ValueError: dimensions too large.
> > > > > >
> > > > > > I was able to compile this form last weeks. Below is the form.
> > > > > >
> > > > > > Garth
> > > > > >
> > > > > >
> > > > > >
> > > > > > scalar1 = FiniteElement("Lagrange", "triangle", 1)
> > > > > >
> > > > > > r  = TestFunction(scalar1)
> > > > > > p1 = TrialFunction(scalar1)
> > > > > >
> > > > > > p0   = Function(scalar1)
> > > > > > lam  = Function(scalar1)
> > > > > > FFF  = Function(scalar1)
> > > > > >
> > > > > > stab = Function(scalar1)
> > > > > > h    = Constant("triangle")
> > > > > >
> > > > > > k     = Constant("triangle")
> > > > > > theta = Constant("triangle")
> > > > > > dt    = Constant("triangle")
> > > > > >
> > > > > > beta = mult(h,stab)
> > > > > > SUPG = - beta*lam*k*dot(grad(p0),grad(r))
> > > > > >
> > > > > > L_saturation_stab = SUPG*lam*k*dot(grad(p0),grad(FFF))*dx
> > > > > >
> > > > > > L = L_saturation_stab
> > > > > >
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