[Numpy-discussion] Error in deallocation ?

Matthieu Brucher matthieu.brucher@gmail....
Tue Oct 23 01:30:48 CDT 2007


The problem reappeared today, same error, always in the line :
xp = (x-self.loc) * (1/self.scale)

When multiplying an array with a float.

Matthieu

2007/10/19, Matthieu Brucher <matthieu.brucher@gmail.com>:
>
> Oups, sorry for the sending twice, we have some problem with our DNS in
> Strasbourg :(
>
> 2007/10/19, Matthieu Brucher <matthieu.brucher@gmail.com >:
> >
> > Here is an excerpt of the stack on the numpy svn of wednesday :
> >
> > #0  0x40000402 in __kernel_vsyscall ()
> > #1  0x00b8e382 in sem_post@GLIBC_2.0 () from /lib/libpthread.so.0
> > #2  0x080fe5b7 in PyThread_release_lock (lock=0x80d0fb2) at
> > Python/thread_pthread.h:374
> > #3  0x080d0fb2 in PyEval_SaveThread () at Python/ceval.c:299
> > #4  0x4064ec7a in dotblas_innerproduct (dummy=0x0, args=0x960522c) at
> > numpy/core/blasdot/_dotblas.c:835
> > #5  0x0811ecf1 in PyCFunction_Call (func=0x960522c, arg=0x80cfec7,
> > kw=0x942068c) at Objects/methodobject.c:73
> > #6  0x080cfec7 in call_function (pp_stack=0x0, oparg=1) at
> > Python/ceval.c:3564
> > #7  0x080cb19a in PyEval_EvalFrameEx. () at Python/ceval.c:2267
> > #8  0x080ca848 in PyEval_EvalCodeEx. () at Python/ceval.c:2831
> > #9  0x0811de5b in function_call (func=0x0, arg=0x960516c, kw=0x965b148)
> > at Objects/funcobject.c:517
> > #10 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x960516c, kw=0x8061a66)
> > at Objects/abstract.c:1860
> > #11 0x08061a66 in instancemethod_call (func=0x95f16ac, arg=0x94f5824,
> > kw=0x805bdb6) at Objects/classobject.c:2497
> > #12 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x95f16ac, kw=0x80a86e9)
> > at Objects/abstract.c:1860
> > #13 0x080a86e9 in slot_tp_call (self=0xbf975c78, args=0x0,
> > kwds=0x805bdb6) at Objects/typeobject.c:4633
> > #14 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x95f16ac, kw=0x80d017b)
> > at Objects/abstract.c:1860
> > #15 0x080d017b in do_call (func=0x0, pp_stack=0x1, na=1, nk=154955456)
> > at Python/ceval.c:3775
> > #16 0x080cfd56 in call_function (pp_stack=0x0, oparg=1) at
> > Python/ceval.c:3587
> > #17 0x080cb19a in PyEval_EvalFrameEx. () at Python/ceval.c:2267
> > #18 0x080ca848 in PyEval_EvalCodeEx. () at Python/ceval.c:2831
> > #19 0x0811de5b in function_call (func=0x0, arg=0x960520c, kw=0x30) at
> > Objects/funcobject.c:517
> > #20 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x960520c, kw=0x8061a66)
> > at Objects/abstract.c:1860
> > #21 0x08061a66 in instancemethod_call (func=0x95ecbac, arg=0x94f57d4,
> > kw=0x805bdb6) at Objects/classobject.c:2497
> > #22 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x95ecbac, kw=0x80a86e9)
> > at Objects/abstract.c:1860
> > #23 0x080a86e9 in slot_tp_call (self=0xbf97609c, args=0x0,
> > kwds=0x805bdb6) at Objects/typeobject.c:4633
> > #24 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x95ecbac, kw=0x80d017b)
> > at Objects/abstract.c:1860
> > #25 0x080d017b in do_call (func=0x0, pp_stack=0x1, na=1, nk=156957888)
> > at Python/ceval.c:3775
> > #26 0x080cfd56 in call_function (pp_stack=0x0, oparg=1) at
> > Python/ceval.c:3587
> > #27 0x080cb19a in PyEval_EvalFrameEx. () at Python/ceval.c:2267
> > #28 0x080ca848 in PyEval_EvalCodeEx. () at Python/ceval.c:2831
> > #29 0x0811de5b in function_call (func=0x0, arg=0x960518c, kw=0x9548a1)
> > at Objects/funcobject.c:517
> > #30 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x960518c, kw=0x8061a66)
> > at Objects/abstract.c:1860
> > #31 0x08061a66 in instancemethod_call (func=0x960526c, arg=0x95fc874,
> > kw=0x805bdb6) at Objects/classobject.c:2497
> > #32 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x960526c, kw=0x80a86e9)
> > at Objects/abstract.c:1860
> > #33 0x080a86e9 in slot_tp_call (self=0xbf9764c0, args=0x0,
> > kwds=0x805bdb6) at Objects/typeobject.c:4633
> > #34 0x0805bdb6 in PyObject_Call (func=0x0, arg=0x960526c, kw=0x80d017b)
> > at Objects/abstract.c:1860
> > #35 0x080d017b in do_call (func=0x0, pp_stack=0x1, na=1, nk=157640136)
> > at Python/ceval.c:3775
> > #36 0x080cfd56 in call_function (pp_stack=0x0, oparg=1) at
> > Python/ceval.c:3587
> > #37 0x080cb19a in PyEval_EvalFrameEx. () at Python/ceval.c:2267
> > #38 0x080ca848 in PyEval_EvalCodeEx. () at Python/ceval.c:2831
> > #39 0x0811de5b in function_call (func=0x0, arg=0x95f260c, kw=0x0) at
> > Objects/funcobject.c:517
> > #40 0x0805bdb6 in PyObject_Call (func=0x9609934, arg=0x95f260c,
> > kw=0x8061a66) at Objects/abstract.c:1860
> >
> > Seems that
> >
> > 2007/10/15, Travis E. Oliphant < oliphant@enthought.com >:
> > >
> > > Matthieu Brucher wrote:
> > > >
> > > >     The problem is that there is a data-type reference counting
> > > error some
> > > >     where that is attempting to deallocate the built-in data-type
> > > 'l'
> > > >
> > > >
> > > >
> > > > That's what I supposed, but I couldn't find the reason why it wanted
> > > > to do this
> > > >
> > > >
> > > >     It's not really a Python error but a logging.  The code won't
> > > let you
> > > >     deallocate the built-ins, but it will tell you that something
> > > >     tried to.
> > > >
> > > >     Reference counting on data-types is easy to get wrong
> > > >     (particularly with
> > > >     Pyrex extension modules) because most calls consume a reference
> > > to the
> > > >     data-type (if they return an object that  contains a reference
> > > to the
> > > >     data-type).
> > > >
> > > >     It is a bug, and it would be nice to figure it out, but that
> > > would
> > > >     require the code that caused it.
> > > >
> > > >
> > > > I've updated my numpy version to the latest svn, the behaviour seems
> > >
> > > > to be different (more warnings), I'll try to give more information
> > > > about the error, but giving the whole code will not be simple (it
> > > uses
> > > > a big data file that seems to trigger the error as with other data
> > > > files, the error didn't show up :()
> > > >
> > >
> > > There are two types of errors that can occur with reference counting
> > > on
> > > data-types.
> > >
> > > 1) There are too many DECREF's --- this gets us to the error quickly
> > > and
> > > is usually easy to reproduce
> > > 2) There are too many INCREF's (the reference count keeps going up
> > > until
> > > the internal counter wraps around to 0 and deallocation is attempted)
> > > --- this error is harder to reproduce and usually takes a while before
> > >
> > > it happens in the code.
> > >
> > >
> > > -Travis
> > >
> > > _______________________________________________
> > > Numpy-discussion mailing list
> > > Numpy-discussion@scipy.org
> > > http://projects.scipy.org/mailman/listinfo/numpy-discussion
> > >
> >
> >
>
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