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Message #25154
Re: Fwd: cbc.block with trilinos failing after recent dolfin updates
This error should have been picked up by a buildbot as:
demo/undomcumented/trilinos/python
also fails. I think we need to sort out the PyTrilinos linking bug first as
Garth suggested and then look for other sources.
Johan
On Friday November 18 2011 07:20:23 Martin Sandve Alnæs wrote:
> The problem is that dolfin.cpp.EpetraMatrix.mat() returns a
> SwigPyObject instead of a PyTrilinos.Epetra.FECrsMatrix.
>
> With your cbc.block patch, I'm running the following code:
>
> print type(Puu)
>
> A = dolfin.down_cast(Puu)
> print type(A)
>
> B = A.mat()
> print type(B)
>
> C = PyTrilinos.ML.MultiLevelPreconditioner(B, 0)
> print type(C)
>
> With dolfin/1.0.x -r6439 I get:
>
> <class 'dolfin.cpp.Matrix'>
> <class 'dolfin.cpp.EpetraMatrix'>
> <class 'PyTrilinos.Epetra.FECrsMatrix'>
> <class 'PyTrilinos.ML.MultiLevelPreconditioner'>
>
> With dolfin/1.0.x -r6447 I get:
>
> <class 'dolfin.cpp.Matrix'>
> <class 'dolfin.cpp.EpetraMatrix'>
> <type 'SwigPyObject'>
> Traceback (most recent call last):
> File "/home/martinal/dev/cbc/invbench/scripts/invbench", line 5, in
> <module> simfra.introrun.run(locals())
> File "/home/martinal/dev/cbc/invbench/src/simfra/introrun.py", line 79,
> in run return func(**kwargs)
> File "/home/martinal/dev/cbc/invbench/src/invbench/oneshot.py", line
> 160, in case_fruitfly_oneshotblock
> C = PyTrilinos.ML.MultiLevelPreconditioner(B, 0)
> File
> "/home/martinal/opt/fenics/dorsal-unstable/lib/python2.7/site-packages/PyT
> rilinos/ML.py", line 1442, in __init__
> this = _ML.new_MultiLevelPreconditioner(*args)
> NotImplementedError: Wrong number or type of arguments for overloaded
> function 'new_MultiLevelPreconditioner'.
> Possible C/C++ prototypes are:
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_RowMa
> trix const &,bool const)
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_RowMa
> trix const &,Teuchos::ParameterList const &,bool const)
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(ML_Operator
> *,Teuchos::ParameterList const &,bool const)
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(ML_Operator
> *,Teuchos::ParameterList const &,Epetra_RowMatrix
> **,Teuchos::ParameterList *,int,bool const)
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_RowMa
> trix const &,Epetra_RowMatrix const &,Epetra_RowMatrix const
> &,Teuchos::ParameterList const &,bool const,bool const)
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_RowMa
> trix const &,Epetra_RowMatrix const &,Epetra_RowMatrix const
> &,Epetra_RowMatrix const &,Teuchos::ParameterList const &,bool const)
>
> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_MsrMa
> trix const &,ML_Operator *,AZ_MATRIX *,int *,Teuchos::ParameterList const
> &,bool const)
>
>
> Martin
>
> On 18 November 2011 16:03, Joachim Berdal Haga <jobh@xxxxxxxxx> wrote:
> >> self.ml_prec = MultiLevelPreconditioner(A.down_cast().mat(), 0)
> >
> > I assume Puu is a dolfin.GenericMatrix, so this should be equivalent to
> > PyTrilinos.ML.MultiLevelPreconditioner(dolfin.down_cast(Puu).mat(), 0)
> > and the only reason I can see for that to fail is if the returned matrix
> > from dolfin isn't (recognised as) an Epetra matrix.
> > Does the explicit call above give the same error? If so, what is the type
> > of the down_cast(Puu).mat()?
> > -j.
> >
> > On 18 November 2011 15:47, Martin Sandve Alnæs <martinal@xxxxxxxxx> wrote:
> >> On 18 November 2011 13:52, Joachim Berdal Haga <jobh@xxxxxxxxx> wrote:
> >> > Yep, sorry, forgot the list. Here's a patch for cbc.block which
> >> > removes the
> >> > workaround, can you see if it helps?
> >> > -j.
> >>
> >> Now I get:
> >>
> >> Traceback (most recent call last):
> >> File "/home/martinal/dev/cbc/invbench/scripts/invbench", line 5, in
> >> <module>
> >> simfra.introrun.run(locals())
> >> File "/home/martinal/dev/cbc/invbench/src/simfra/introrun.py", line 79,
> >> in run
> >> return func(**kwargs)
> >> File "/home/martinal/dev/cbc/invbench/src/invbench/oneshot.py", line
> >> 168, in case_fruitfly_oneshotblock
> >> P = block_mat([[ML(Puu), 0, 0],
> >> File
> >> "/home/martinal/opt/fenics/dorsal-unstable/lib/python2.7/site-packages/b
> >> lock/algebraic/trilinos/MLPrec.py", line 25, in __init__
> >> self.ml_prec = MultiLevelPreconditioner(A.down_cast().mat(), 0)
> >> File
> >> "/home/martinal/opt/fenics/dorsal-unstable/lib/python2.7/site-packages/P
> >> yTrilinos/ML.py", line 1442, in __init__
> >> this = _ML.new_MultiLevelPreconditioner(*args)
> >> NotImplementedError: Wrong number or type of arguments for overloaded
> >> function 'new_MultiLevelPreconditioner'.
> >> Possible C/C++ prototypes are:
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_Ro
> >> wMatrix const &,bool const)
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_Ro
> >> wMatrix const &,Teuchos::ParameterList const &,bool const)
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(ML_Operat
> >> or *,Teuchos::ParameterList const &,bool const)
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(ML_Operat
> >> or *,Teuchos::ParameterList const &,Epetra_RowMatrix
> >> **,Teuchos::ParameterList *,int,bool const)
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_Ro
> >> wMatrix const &,Epetra_RowMatrix const &,Epetra_RowMatrix const
> >> &,Teuchos::ParameterList const &,bool const,bool const)
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_Ro
> >> wMatrix const &,Epetra_RowMatrix const &,Epetra_RowMatrix const
> >> &,Epetra_RowMatrix const &,Teuchos::ParameterList const &,bool const)
> >>
> >> ML_Epetra::MultiLevelPreconditioner::MultiLevelPreconditioner(Epetra_Ms
> >> rMatrix const &,ML_Operator *,AZ_MATRIX *,int *,Teuchos::ParameterList
> >> const &,bool const)
> >>
> >>
> >> --
> >> Martin
>
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