Both .so are in /home/user/anaconda2/lib which I have put in LD_LIBRARY_PATH.
(I have also created symbolic links from /usr/lib to these 2 libraries as an alternative).
On the web, this problem links to Intel MKL acceleration of numpy and scipy routines. Is there a way to get rid of this dependency, and run numpy/scipy in non-accelarated mode? Any other way to get around this.
Guido
PS: The machine is an Intel® Xeon® CPU E5-2680 v2 @ 2.80GHz
Did anyone succeed in running this sen2cor software on Ubuntu 14.04 (or better)??
I tried another box and run into exactly the same problem. There is actually another, earlier, issue with a missing /usr/lib/x86_64-linux-gnu/libcom_err.so.3 which can be circumvented with a symbolic link, but suggesting this stuff was never tested on Ubuntu.
I installed exactly as prescribed in the SETUP.pdf. When I do (in anaconda python):
import numpy as np
np.show_config()
I get the following:
lapack_opt_info:
libraries = [‘openblas’]
library_dirs = [’/home/lemoigu/anaconda2/lib’]
define_macros = [(‘HAVE_CBLAS’, None)]
language = c
blas_opt_info:
libraries = [‘openblas’]
library_dirs = [’/home/lemoigu/anaconda2/lib’]
define_macros = [(‘HAVE_CBLAS’, None)]
language = c
openblas_info:
libraries = [‘openblas’]
library_dirs = [’/home/lemoigu/anaconda2/lib’]
define_macros = [(‘HAVE_CBLAS’, None)]
language = c
openblas_lapack_info:
libraries = [‘openblas’]
library_dirs = [’/home/lemoigu/anaconda2/lib’]
define_macros = [(‘HAVE_CBLAS’, None)]
language = c
blas_mkl_info:
NOT AVAILABLE
Which apparently links to the crash message (same as before).
I can’t remember to have had issues with “open sores” packages like these before.
PS. This box is an Intel® Xeon® CPU E5-2620 v2 @ 2.10GHz