The theano installation documentation states, that theano will as a default use the BLAS libraries from numpy, if the "BLAS libraries are available as dynamically-loadable libraries". This seems not to be working on my machine, see error message.
Please indicate, if you would need more information!
Error message
We did not found a dynamic library into the library_dir of the library we use for blas. If you use ATLAS, make sure to compile it with dynamics library.
/usr/bin/ld: cannot find -lblas
Appendix
The theano library needs among other things numpy and a BLAS library. I figured numpy comes with BLAS if you install it with sudo apt-get install python-numpy python-scipy
under Ubuntu.
This is the filelisting of /usr/lib64/python2.6/dist-packages/scipy/lib/blas
cblas.so info.py __init__.py scons_support.py setup.py
fblas.so info.pyc __init__.pyc scons_support.pyc setup.pyc
setupscons.py test
setupscons.pyc
This is the output of distutils.__config__.show()
is as follows
blas_info:
libraries = ['blas']
library_dirs = ['/usr/lib64']
language = f77
lapack_info:
libraries = ['lapack']
library_dirs = ['/usr/lib64']
language = f77
atlas_threads_info:
NOT AVAILABLE
blas_opt_info:
libraries = ['blas']
library_dirs = ['/usr/lib64']
language = f77
define_macros = [('NO_ATLAS_INFO', 1)]
atlas_blas_threads_info:
NOT AVAILABLE
lapack_opt_info:
libraries = ['lapack', 'blas']
library_dirs = ['/usr/lib64']
language = f77
define_macros = [('NO_ATLAS_INFO', 1)]
atlas_info:
NOT AVAILABLE
lapack_mkl_info:
NOT AVAILABLE
blas_mkl_info:
NOT AVAILABLE
atlas_blas_info:
NOT AVAILABLE
mkl_info:
NOT AVAILABLE
After downloading the Anaconda distro of python libraries, I just encountered the same issue on Ubuntu 12.04 LTS 64-bit. Pointing Theano to the directory containing libblas.so took care of it.
$ THEANO_FLAGS=blas.ldflags="-L/usr/lib/ -lblas" python rbm.py