[Numpy-discussion] Win32 installer: please test it

Bruce Southey bsouthey@gmail....
Wed Apr 16 09:28:40 CDT 2008


Hi,
Excellent job!
I got NO errors (including Vista), all tests passed .

I did see different 'sse' packages installed for the different
processors (given below) that mainly cover AMD Athlon processors and
different favors of SSE.  Everything was done using Python 2.5.2
installer from the official Python download site. I used CPU-Z 1.44 to
find the processor instructions. The version of your numpy installer
provided  numpy version 1.0.5.dev5008.

Windows XP:
Athlon (Thunderbird) 1050MHz: MMX(+), 3DNow(+)
Athlon XP 2100+: MMX(+), 3DNow!(+), SSE
Athlon 64 3400: MMX(+), 3DNow!(+), SSE, SSE2, X86_64
Opteron 270: MMX(+), 3DNow!(+), SSE, SSE2,SSE3, X86_64

Vista Basic
Intel Celeron M530: MMX, SSE, SSE2, SSE3, SSSE3,EM6AT

Regards
Bruce

On Tue, Apr 15, 2008 at 7:01 PM, Damian Eads <eads@soe.ucsc.edu> wrote:
>
> David Cournapeau wrote:
>  > Jarrod Millman wrote:
>  >> Hello,
>  >>
>  >> David Cournapeau has prepared a new win32 installer, which is aimed at
>  >> solving the recurring problem of non working atlas on different sets
>  >> of CPU. This installer simply checks which cpu you have, and installs
>  >> the appropriate numpy accordingly (without atlas if your cpu is not
>  >> supported). Windows users, please test the installer, and report
>  >> problems with it; we hope to use this scheme for all numpy and scipy
>  >> installers in the future.
>  >
>  > Sorry for being insistent, but I would really like to get rid of those
>  > windows/sse* problems once for all for numpy/scipy, and this means
>  > having people to test the installer.
>  >
>  > cheers,
>  >
>  > David
>  > _______________________________________________
>  > Numpy-discussion mailing list
>  > Numpy-discussion@scipy.org
>  > http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
>  Sorry for getting back to you so late. I was out of range of wireless
>  networks for a day and a half. Shown below are my /proc/cpu-info and
>  result of running numpy.test(). SSE and SSE2 are supported but SSE3 is not.
>
>  Nice work David!
>
>  Damian
>
>  -------------------------------------------
>  processor       : 0
>  vendor_id       : GenuineIntel
>  cpu family      : 6
>  model           : 13
>  model name      : Intel(R) Pentium(R) M processor 1.60GHz
>  stepping        : 6
>  cpu MHz         : 1600.000
>  cache size      : 2048 KB
>  fdiv_bug        : no
>  hlt_bug         : no
>  f00f_bug        : no
>  coma_bug        : no
>  fpu             : yes
>  fpu_exception   : yes
>  cpuid level     : 2
>  wp              : yes
>  flags           : fpu vme de pse tsc msr mce cx8 mtrr pge mca cmov pat
>  clflush dts acpi mmx fxsr sse sse2 ss tm pbe up bts est tm2
>  bogomips        : 3198.55
>  clflush size    : 64
>
>
>  Numpy version 1.0.4
>  Python version 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32
>
> bit (Int
>  el)]
>    Found 10/10 tests for numpy.core.defmatrix
>    Found 36/36 tests for numpy.core.ma
>    Found 223/223 tests for numpy.core.multiarray
>    Found 65/65 tests for numpy.core.numeric
>
>    Found 31/31 tests for numpy.core.numerictypes
>    Found 12/12 tests for numpy.core.records
>    Found 6/6 tests for numpy.core.scalarmath
>    Found 14/14 tests for numpy.core.umath
>    Found 4/4 tests for numpy.ctypeslib
>
>    Found 5/5 tests for numpy.distutils.misc_util
>    Found 1/1 tests for numpy.fft.fftpack
>
>    Found 3/3 tests for numpy.fft.helper
>    Found 9/9 tests for numpy.lib.arraysetops
>    Found 46/46 tests for numpy.lib.function_base
>
>    Found 5/5 tests for numpy.lib.getlimits
>    Found 4/4 tests for numpy.lib.index_tricks
>    Found 3/3 tests for numpy.lib.polynomial
>
>    Found 49/49 tests for numpy.lib.shape_base
>    Found 15/15 tests for numpy.lib.twodim_base
>    Found 43/43 tests for numpy.lib.type_check
>    Found 1/1 tests for numpy.lib.ufunclike
>    Found 40/40 tests for numpy.linalg
>    Found 2/2 tests for numpy.random
>    Found 0/0 tests for __main__
>  ................................................................................
>  ................................................................................
>  ................................................................................
>  ................................................................................
>  ....................................................................Warning:
>  inv
>  alid value encountered in absolute
>  Warning: invalid value encountered in absolute
>  Warning: invalid value encountered in less_equal
>  ................................................................................
>  ................................................................................
>  ................................................................................
>  ..........................................................
>  ----------------------------------------------------------------------
>  Ran 686 tests in 1.250s
>
>  OK
>  <unittest._TextTestResult run=686 errors=0 failures=0>
>  ------------------------
>
>
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>  Numpy-discussion@scipy.org
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>


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