hi gen,

have you tried the compiler designed specifically for the opteron rather
than the intel?
you can download it here:

http://developer.amd.com/acml.jsp

don't know if it will get rid of any of your errors or if it will help
compile scipy, but it may be worth a try anyway.

wb

On 12/5/06, Gennan Chen < gnchen@[...].net>  wrote:
> 
>   Hi! All,
> 
>  I have a dual opteron 285 with 8G ram machine. And I ran FC6 x86_64 on
>  that. I did manage to get numpy (from svn) compiled by using icc 9.1.0.45and mkl
>  9.0 ( got 3 errors when I ran the est). But no such luck for scipy (from
>  svn). Below is the error:
> 
>  Lib/special/cephes/mconf.h(137): remark #193: zero used for undefined
>  preprocessing identifier
>    #if WORDS_BIGENDIAN  /* Defined in pyconfig.h */
>        ^
> 
>  Lib/special/cephes/const.c(92): error: floating-point operation result is
>  out of range
>    double INFINITY = 1.0/0.0;  /* 99e999; */
>                         ^
> 
>  Lib/special/cephes/const.c(97): error: floating-point operation result is
>  out of range
>    double NAN = 1.0/0.0 - 1.0/0.0;
>                    ^
> 
>  Lib/special/cephes/const.c(97): error: floating-point operation result is
>  out of range
>    double NAN = 1.0/0.0 - 1.0/0.0;
>                              ^
> 
>  compilation aborted for Lib/special/cephes/const.c (code 2)
>  error: Command "icc -O2 -g -fomit-frame-pointer -mcpu=pentium4
>  -mtune=pentium4 -march=pentium4 -msse3 -axW -Wall -fPIC -c
>  Lib/special/cephes/const.c -o build/temp.linux-x86_64-2.4/Lib/special/cephes/const.o"
>  failed with exit status 2
> 
>  Did anyone has a solution for this?
> 
>  BTW, the 3 error I got from numpy are:
>  File
>  "/usr/lib64/python2.4/site-packages/numpy/lib/tests/test_ufunclike.py", line
>  25, in test_ufunclike
>  Failed example:
>      nx.sign(a)
>  Expected:
>      array([ 1., -1.,  0.,  0.,  1., -1.])
>  Got:
>      array([ 1., -1., -1.,  0.,  1., -1.])
>  **********************************************************************
>  File
>  "/usr/lib64/python2.4/site-packages/numpy/lib/tests/test_ufunclike.py", line
>  40, in test_ufunclike
>  Failed example:
>      nx.sign(a, y)
>  Expected:
>      array([True, True, False, False, True, True], dtype=bool)
>  Got:
>      array([True, True, True, False, True, True], dtype=bool)
>  **********************************************************************
>  File
>  "/usr/lib64/python2.4/site-packages/numpy/lib/tests/test_ufunclike.py", line
>  43, in test_ufunclike
>  Failed example:
>      y
>  Expected:
>      array([True, True, False, False, True, True], dtype=bool)
>  Got:
>      array([True, True, True, False, True, True], dtype=bool)
> 
> 
>  Are these error serious??
> 
>  Or maybe I should get back to gcc? Anyone got a good speed up by using icc
>  and mkl?
> 
>    --
>  Gen-Nan Chen, PhD
> 
> 
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> 
>