[SciPy-dev] compile scipy by using intel compiler

Gennan Chen gnchen at cortechs.net
Tue Dec 5 15:27:55 CST 2006


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
9.1.0.45 and 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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