On Tue, 7 Oct, 2014 at 1:42 PM, Martin Sandve Alnæs <[email protected]> wrote:
On 7 October 2014 14:34, Garth N. Wells <[email protected]> wrote:
>
>
>
> On Tue, 7 Oct, 2014 at 10:35 AM, Jan Blechta <[email protected]> wrote:
>>
>> On Tue, 7 Oct 2014 10:23:21 +0100
>> "Garth N. Wells" <[email protected]> wrote:
>>
>>>
>>> On 6 Oct 2014, at 16:38, Martin Sandve Alnæs <[email protected]>
>>>  wrote:
>>>
>>>  > I think this is the best solution:
>>>  >
>>>  > 1) Require the user to close file objects deterministically.
>>> > Relying on the del operator is not deterministic, we need to support >>> > .close() and/or __enter__/__exit__ for the with statement in dolfin.
>>>  >
>>>
>>>  Sounds good. We can print a warning message from the File object
>>> destructors if a file is not closed (this can later become an error).
>>
>>
>> Good idea, but maybe warning could be issued from __del__ operator if >> object was not properly destroyed/closed. In C++ layer everything is OK.
>
>
> There are some advantages to insisting on explicit file opening/closing in the C++ interface too, particularly in parallel, so we could reasonably keep the interface consistent across Python and C++.
>

I don't see any advantages? The standard way to handle this kind of thing in C++ is to follow a RAII pattern.

Presently, VTK files are opened and closed behind the scenes at each write. A consequence is that if a program is killed the VTK output remains valid. With parallel IO via HDF5, a number of users have been bitten by XDMF/HDF5 data being corrupted when exiting early. If we make users consciously manage opening and closing of files, they are less likely to be bitten in the case of a premature program exit.

Garth



>> Maybe we should also check how petsc4py deals with the issue and get
>> eventually inspired.
>
>
> I haven't checked in detail, but I presumed that petsc4py wraps the PETSc 'FooDestroy' functions. From a quick survey of some of the petsc4py demos, it appears that some explicitly clean up, e.g.
>
> https://bitbucket.org/petsc/petsc4py/src/7081705ebf90034163de05034df749fcd50cc288/demo/taosolve/chwirut.py?at=master
>
> and some do not, e.g.
>
> https://bitbucket.org/petsc/petsc4py/src/7081705ebf90034163de05034df749fcd50cc288/demo/kspsolve/test_mat_cg.py?at=master
>
> I suspect that petsc4py could suffer the same issue that we're seeing in the case that objects are not explicitly cleaned up.
>
> Garth
>
>
>
>>
>> Jan
>>
>>>
>>>  > 2) Recommend users to throw in some gc.collect() calls in their
>>> > code if objects go out of scope in their code. This doesn't seem to
>>>  > be a big problem, but it's a lingering non-deterministic mpi
>>>  > deadlock waiting to happen and very hard to debug.
>>>  >
>>>
>>>  What about insisting that objects that require collective calls
>>> during destruction must have a collective ‘clear’ or ‘destroy'
>>>  function that cleans up the object.
>>>
>>>  Related to this discussion, we really need to to starting marking
>>>  (logically) collective functions in the docstrings.
>>>
>>>  Garth
>>>
>>>  > Martin
>>>  >
>>>  >
>>> > On 6 October 2014 15:05, Martin Sandve Alnæs <[email protected]> >>> > wrote: Yes. The difference is that mpi initialization / destruction
>>>  > happens at beginning / end of the process while the destructors
>>>  > happen all the time anywhere. I think that makes this a harder
>>>  > problem to solve.
>>>  >
>>>  > Anyway I was replying to "would it help if MPI is initialised
>>>  > explicitly in the setup" and the answer is still no because mpi
>>>  > init is not the problem in the tests, although it is of similar
>>>  > nature.
>>>  >
>>>  > I'm pondering if its possible (if necessary) to add a
>>> > dolfin.mpi_gc() function and overload __del__ in some classes to
>>>  > handle this deterministically.
>>>  >
>>>  > 6. okt. 2014 14:54 skrev "Garth N. Wells" <[email protected]>
>>>  > følgende:
>>>  >
>>>  >
>>>  >
>>>  > On Mon, 6 Oct, 2014 at 1:10 PM, Martin Sandve Alnæs
>>> > <[email protected]> wrote: MPI initialization has nothing to do >>> > with the test problems. The problem is the destructors of objects. >>> > It is temporarily solved by calling gc collect in pytest fixtures.
>>>  >
>>>  >
>>> > The core problem is the same. The problem I describe occurs when >>> > the SubSystemsManager singleton that controls MPI intialisation is >>> > destroyed (and finalises MPI) before a PETSc object is destroyed.
>>>  > It is an issue of destruction order.
>>>  >
>>>  > Garth
>>>  >
>>> > I think we should implement the with statement pattern for all file
>>>  > types in dolfin to allow scope management.
>>>  >
>>>  > If vectors _do_ call mpi in destructors that's a problem for
>>>  > nontrivial dolfin python programs.
>>>  >
>>>  > 6. okt. 2014 13:53 skrev "Garth N. Wells" <[email protected]>
>>>  > følgende:
>>>  >
>>>  >
>>>  > On Mon, 6 Oct, 2014 at 12:32 PM, Jan Blechta
>>> > <[email protected]> wrote: On Mon, 06 Oct 2014 11:53:58
>>>  > +0100 "Garth N. Wells" <[email protected]> wrote:
>>>  >
>>>  >  On Mon, 6 Oct, 2014 at 11:23 AM, Martin Sandve Alnæs
>>>  >  <[email protected]> wrote:
>>> > > All collective destructors must be managed explicitly in python,
>>>  >  > preferably via with statement. Are there any apart from file
>>>  >  > objects? Vectors? Matrices? Meshes?
>>>  >  >
>>>  >
>>> > Off the top of my head I can't think of any cases, apart from IO,
>>>  > in which a (collective) MPI call needs to be made inside a
>>> > destructor. For IO, we could insist on a user closing or flushing a >>> > file explicitly. We cannot guarantee that 3rd party linear algebra
>>>  >  backends do not call MPI when objects are destroyed.
>>>  >
>>> > VecDestroy and MatDestroy (called by PESTcVector and PETScBaseMatrix
>>>  > destructors) are claimed to be collective by PETSc doc:
>>> > http://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Vec/VecDestroy.html >>> > http://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Mat/MatDestroy.html
>>>  >
>>> > Yes, they are collective but don't necessarily make MPI calls. My >>> > understanding is that 'collective' is not the issue but whether or >>> > not MPI calls are made from a destructor. Some functions will only >>> > make sense if called collectively (e.g., VecDestroy), but might
>>>  > not make collective MPI calls.
>>>  >
>>>  > For the tests, assuming PyTest permits a 'setup' function like
>>>  > unittest, would it help if MPI is initialised explicitly in the
>>>  > setup function and closed down at the end of a test suite (if
>>>  > possible with PyTest)?
>>>  >
>>>  > Garth
>>>  >
>>>  >
>>>  >
>>>  > Jan
>>>  >
>>>  >
>>>  >  We have had this problem in the past with the 'automatic'
>>> > finalisation of MPI, which is a problem if MPI is shutdown before
>>>  >  PETSc.
>>>  >
>>>  >  Garth
>>>  >
>>>  >
>>>  >  > 6. okt. 2014 12:18 skrev "Jan Blechta"
>>>  >  > <[email protected]> følgende:
>>>  >  >> On Mon, 6 Oct 2014 12:07:02 +0200
>>>  >  >> Martin Sandve Alnæs <[email protected]> wrote:
>>>  >  >>
>>> > >> > The problem is that gc is nondeterministic and in particular
>>>  >  >> > not running with equal timing and ordering on each mpi
>>>  >  >> > process.
>>>  >  >> >
>>> > >> > We can't use the with statement to handle the scope of every
>>>  >  >> > single dolfin object in a program.
>>>  >  >>
>>> > >> Most of the DOLFIN destructors are not collective. So the moral
>>>  >  >> is that
>>> > >> we should avoid collective destructors as possible and document
>>>  >  >> it like
>>>  >  >> it is in PETSc doc.
>>>  >  >>
>>>  >  >> Jan
>>>  >  >>
>>>  >  >> >
>>> > >> > We can change all file handling to use with, and require the
>>>  >  >> > user
>>>  >  >> to
>>>  >  >> > use that in parallel.
>>>  >  >> >  6. okt. 2014 11:41 skrev "Jan Blechta"
>>>  >  >> <[email protected]>
>>>  >  >> > følgende:
>>>  >  >> >
>>>  >  >> > > On Mon, 6 Oct 2014 09:48:29 +0200
>>>  >  >> > > Martin Sandve Alnæs <[email protected]> wrote:
>>>  >  >> > >
>>> > >> > > > The 'fix' that's in the branch now was to trigger python
>>>  >  >> garbage
>>> > >> > > > collection (suggested by Øyvind Evju) before each test.
>>>  >  >> > > >
>>> > >> > > > This probably means we have a general problem in dolfin >>> > >> > > > with non-deterministic destruction order of objects in
>>>  >  >> > > > parallel. Any destructor that uses MPI represents a
>>>  >  >> > > > potential deadlock.
>>>  >  >> > >
>>>  >  >> > > To understand the issue, is the problem that garbage
>>>  >  >> > > collection
>>>  >  >> does
>>>  >  >> > > not ensure when the object is destroyed which is the
>>>  >  >> > > problem?
>>>  >  >> > >
>>>  >  >> > > Here http://stackoverflow.com/a/5071376/1796717 the
>>> > >> > > distinction between variable scoping and object cleanup is
>>>  >  >> > > discussed.
>>>  >  >> Quoting it
>>>  >  >> > >
>>> > >> > > Deterministic cleanup happens through the with statement.
>>>  >  >> > >
>>>  >  >> > > which might be a proper solution to the problem.
>>>  >  >> > >
>>>  >  >> > > Jan
>>>  >  >> > >
>>>  >  >> > > >
>>>  >  >> > > > On 19 September 2014 12:52, Jan Blechta
>>>  >  >> > > > <[email protected]> wrote:
>>>  >  >> > > >
>>>  >  >> > > > > On Fri, 19 Sep 2014 00:27:50 +0200
>>>  >  >> > > > > Jan Blechta <[email protected]> wrote:
>>>  >  >> > > > >
>>>  >  >> > > > > > Yes, after many trials using
>>>  >  >> > > > > >
>>>  >  >> > > > > > $ cd test/unit/io/python
>>> > >> > > > > > $ while true; do git clean -fdx && mpirun -n 3 xterm >>> > >> > > > > > -e gdb -ex r -ex q -args python -m pytest -sv; done
>>>  >  >> > > > > > # when it hangs and you interrupt it, it asks for
>>> > >> > > > > > confirmation for # quitting, so you type n and enjoy
>>>  >  >> > > > > > gdb...
>>>  >  >> > > > > >
>>> > >> > > > > > I've seen a situation when 2 processes deadlocked on >>> > >> > > > > > HDF5Interface::close_file() in DOLFIN with backtrace
>>>  >  >> > > > > > like
>>>  >  >> > > > > >
>>>  >  >> > > > > > # MPI barrier
>>>  >  >> > > > > > ...
>>>  >  >> > > > > > # MPI close
>>>  >  >> > > > > > # HDF5 lib calls
>>>  >  >> > > > > > H5FClose()
>>>  >  >> > > > > > dolfin::HDF5Interface::close_file()
>>>  >  >> > > > > > dolfin::HDF5File::close()
>>>  >  >> > > > > > dolfin::HDF5File::~HDF5File()
>>>  >  >> > > > > > dolfin::HDF5File::~HDF5File()
>>>  >  >> > > > > > # smart ptr management
>>>  >  >> > > > > > # garbage collection
>>>  >  >> > > > > >
>>>  >  >> > > > > > while 3rd process is waiting far away. Isn't it
>>>  >  >> > > > > > strange
>>>  >  >> that
>>> > >> > > > > > destructor is there twice in stacktrace? (The upper
>>>  >  >> > > > > > one is
>>>  >  >> on
>>>  >  >> > > > > > '}' line which I don't get.) What does it mean?
>>>  >  >> > > > >
>>>  >  >> > > > > Probably just code generation artifact - nothing
>>> > >> > > > > harmful, see http://stackoverflow.com/a/15244091/1796717
>>>  >  >> > > > >
>>>  >  >> > > > > Jan
>>>  >  >> > > > >
>>>  >  >> > > > > >
>>>  >  >> > > > > > Jan
>>>  >  >> > > > > >
>>>  >  >> > > > > >
>>>  >  >> > > > > > On Thu, 18 Sep 2014 16:20:51 +0200
>>>  >  >> > > > > > Martin Sandve Alnæs <[email protected]> wrote:
>>>  >  >> > > > > >
>>> > >> > > > > > > I've added the mpi fixes for temppath fixture and >>> > >> > > > > > > fixed some other related issues while at it: When
>>>  >  >> parameterizing
>>> > >> > > > > > > a test that uses a temppath fixture, there is a need >>> > >> > > > > > > for separate directories for each parameter combo. >>> > >> > > > > > > A further improvement would be automatic cleaning of
>>>  >  >> > > > > > > old tempdirs, but I leave that for now.
>>>  >  >> > > > > > >
>>>  >  >> > > > > > > I've pushed these changes to the branch
>>>  >  >> > > > > > > aslakbergersen/topic-change-unittest-to-pytest
>>>  >  >> > > > > > >
>>>  >  >> > > > > > > The tests still hang though, in the closing of
>>>  >  >> > > > > > > HDF5File.
>>>  >  >> > > > > > >
>>> > >> > > > > > > Here's now to debug if someone wants to give it a
>>>  >  >> > > > > > > shot: Just run:
>>>  >  >> > > > > > >     mpirun -np 3 python -m pytest -s -v
>>>  >  >> > > > > > > With gdb:
>>>  >  >> > > > > > >     mpirun -np 3 xterm -e gdb --args python -m
>>> > >> > > > > > > pytest then enter 'r' in each of the three xterms.
>>>  >  >> > > > > > >
>>> > >> > > > > > > You may have to try a couple of times to get the
>>>  >  >> > > > > > > hanging behaviour.
>>>  >  >> > > > > > >
>>>  >  >> > > > > > > Martin
>>>  >  >> > > > > > >
>>> > >> > > > > > > On 18 September 2014 13:23, Martin Sandve Alnæs
>>>  >  >> > > > > > > <[email protected]> wrote:
>>>  >  >> > > > > > >
>>>  >  >> > > > > > > > Good spotting both of you, thanks.
>>>  >  >> > > > > > > >
>>>  >  >> > > > > > > > Martin
>>>  >  >> > > > > > > >
>>> > >> > > > > > > > On 18 September 2014 13:01, Lawrence Mitchell <
>>>  >  >> > > > > > > > [email protected]> wrote:
>>>  >  >> > > > > > > >
>>>  >  >> > > > > > > >> On 18/09/14 11:42, Jan Blechta wrote:
>>> > >> > > > > > > >> > Some problems (when running in a clean dir) are
>>>  >  >> avoided
>>> > >> > > > > > > >> > using this (although incorrect) patch. There
>>>  >  >> > > > > > > >> > are
>>>  >  >> race
>>> > >> > > > > > > >> > conditions in creation of temp dir. It should
>>>  >  >> > > > > > > >> > be
>>>  >  >> done
>>>  >  >> > > > > > > >> > using atomic operation.
>>>  >  >> > > > > > > >> >
>>>  >  >> > > > > > > >> > Jan
>>>  >  >> > > > > > > >> >
>>>  >  >> > > > > > > >> >
>>>  >  >> > > > > > > >> >
>>>  >  >> > >
>>> > >> ================================================================== >>> > >> > > > > > > >> > diff --git a/test/unit/io/python/test_XDMF.py
>>>  >  >> > > > > > > >> > b/test/unit/io/python/test_XDMF.py index
>>>  >  >> > > > > > > >> > 9ad65a4..31471f1 100755 ---
>>>  >  >> > > > > > > >> > a/test/unit/io/python/test_XDMF.py +++
>>> > >> > > > > > > >> > b/test/unit/io/python/test_XDMF.py @@ -28,8
>>>  >  >> > > > > > > >> > +28,9 @@ def temppath(): filedir =
>>>  >  >> > > > > > > >> > os.path.dirname(os.path.abspath(__file__))
>>>  >  >> > > > > > > >> > basename
>>>  >  >> =
>>>  >  >> > > > > > > >> > os.path.basename(__file__).replace(".py",
>>>  >  >> > > > > > > >> > "_data") temppath = os.path.join(filedir,
>>>  >  >> > > > > > > >> > basename, "")
>>>  >  >> > > > > > > >> > -    if not os.path.exists(temppath):
>>>  >  >> > > > > > > >> > -        os.mkdir(temppath)
>>>  >  >> > > > > > > >> > +    if MPI.rank(mpi_comm_world()) == 0:
>>>  >  >> > > > > > > >> > +        if not os.path.exists(temppath):
>>>  >  >> > > > > > > >> > +            os.mkdir(temppath)
>>>  >  >> > > > > > > >> >      return temppath
>>>  >  >> > > > > > > >>
>>> > >> > > > > > > >> There's still a race condition here because ranks
>>>  >  >> other
>>> > >> > > > > > > >> than zero might try and use temppath before it's >>> > >> > > > > > > >> created. I think you want something like the
>>>  >  >> > > > > > > >> below:
>>>  >  >> > > > > > > >>
>>>  >  >> > > > > > > >> if MPI.rank(mpi_comm_world()) == 0:
>>>  >  >> > > > > > > >>     if not os.path.exists(temppath):
>>>  >  >> > > > > > > >>         os.mkdir(temppath)
>>>  >  >> > > > > > > >> MPI.barrier(mpi_comm_world())
>>>  >  >> > > > > > > >> return temppath
>>>  >  >> > > > > > > >>
>>> > >> > > > > > > >> If you're worried about the OS not creating files
>>>  >  >> > > > > > > >> atomically, you can always mkdir into a tmp
>>>  >  >> > > > > > > >> directory
>>>  >  >> and
>>>  >  >> > > > > > > >> then os.rename(tmp, temppath), since posix
>>>  >  >> > > > > > > >> guarantees that renames are atomic.
>>>  >  >> > > > > > > >>
>>>  >  >> > > > > > > >> Lawrence
>>> > >> > > > > > > >> _______________________________________________
>>>  >  >> > > > > > > >> fenics mailing list
>>>  >  >> > > > > > > >> [email protected]
>>> > >> > > > > > > >> http://fenicsproject.org/mailman/listinfo/fenics
>>>  >  >> > > > > > > >>
>>>  >  >> > > > > > > >
>>>  >  >> > > > > > > >
>>>  >  >> > > > > >
>>>  >  >> > > > > > _______________________________________________
>>>  >  >> > > > > > fenics mailing list
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>>>  >  >> > > > >
>>>  >  >> > > > >
>>>  >  >> > >
>>>  >  >> > >
>>>  >  >>
>>>  >
>>>  >
>>>  >
>>>  >
>>>
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>

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