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 < [EMAIL PROTECTED]> 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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