[Numpy-discussion] Segfault with 64-bit, ACML, Python 2.5

Nickolas V Fotopoulos nvf at MIT.EDU
Tue Sep 26 23:07:04 CDT 2006

Dear numpy pros,

I have a problem and I don't know whether it's from local setup intricacies
(64-bit Opteron with ACML and Python 2.5) or something in numpy (fresh SVN
checkout).  I observe the following:

>>> import numpy
>>> numpy.test()
  Found 5 tests for numpy.distutils.misc_util
  Found 3 tests for numpy.lib.getlimits
  Found 31 tests for numpy.core.numerictypes
  Found 32 tests for numpy.linalg
  Found 13 tests for numpy.core.umath
  Found 4 tests for numpy.core.scalarmath
  Found 9 tests for numpy.lib.arraysetops
  Found 42 tests for numpy.lib.type_check
  Found 166 tests for numpy.core.multiarray
  Found 3 tests for numpy.fft.helper
  Found 36 tests for numpy.core.ma
  Found 1 tests for numpy.lib.ufunclike
  Found 12 tests for numpy.lib.twodim_base
  Found 10 tests for numpy.core.defmatrix
  Found 4 tests for numpy.ctypeslib
  Found 40 tests for numpy.lib.function_base
  Found 1 tests for numpy.lib.polynomial
  Found 8 tests for numpy.core.records
  Found 26 tests for numpy.core.numeric
  Found 4 tests for numpy.lib.index_tricks
  Found 46 tests for numpy.lib.shape_base
  Found 0 tests for __main__
........Segmentation fault

In gdb:
Program received signal SIGSEGV, Segmentation fault.
[Switching to Thread 46912496134400 (LWP 25798)]
VOID_setitem (op=Variable "op" is not available.
) at numpy/core/src/arraytypes.inc.src:522
522                             if (res < 0) break;

Version information:
[nvf at ldas-pcdev1 nvf]$ uname -m
[nvf at ldas-pcdev1 nvf]$ python
Python 2.5 (r25:51908, Sep 26 2006, 19:06:29)
[GCC 4.0.2 20051125 (Red Hat 4.0.2-8)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> numpy.__version__

Any idea what might be wrong?  One obvious thing to check was the linear
algebra, since ACML is suspect.  numpy.linalg.eig worked fine for my simple
test.  I don't know enough to debug further.


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