Problem: Linking numpy to correct Linear Algebra libraries. Process is so complicated that I might be looking for the solution 6th time and I have no idea whats going wrong. I am on Ubuntu 12.04.5. I reinstalled blas and lapack and then reinstalled numpy using pip. I did that in system environment and then also tried in virtualenv environment. None of the things seem to be working.
Here is my numpy.__config__.show():
lapack_info:
NOT AVAILABLE
lapack_opt_info:
NOT AVAILABLE
openblas_lapack_info:
NOT AVAILABLE
blas_info:
NOT AVAILABLE
atlas_3_10_blas_threads_info:
NOT AVAILABLE
atlas_threads_info:
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
atlas_3_10_threads_info:
NOT AVAILABLE
atlas_blas_info:
NOT AVAILABLE
atlas_3_10_blas_info:
NOT AVAILABLE
lapack_src_info:
NOT AVAILABLE
atlas_blas_threads_info:
NOT AVAILABLE
openblas_info:
NOT AVAILABLE
blas_mkl_info:
NOT AVAILABLE
blas_opt_info:
NOT AVAILABLE
atlas_info:
NOT AVAILABLE
atlas_3_10_info:
NOT AVAILABLE
lapack_mkl_info:
NOT AVAILABLE
mkl_info:
NOT AVAILABLE
This is a very common error and has lots of solution depending on the user's environment and history. I recently went through the whole process of installing BLAS and LAPACK as instructed here: https://mcmap.net/q/67757/-does-python-scipy-need-blas. I was able to successfully install both.
However, I initially had these libraries: (ls /usr/lib | grep blas)
libopenblas.so.0
openblas-base/
libblas.so.3gf
libblas.3
How should I link my numpy to linear algebra libraries. Is it mandatory to have all the linaear algebra libraries? i.e. lapack, blas, atlas?
I am assuming once the numpy is linked all other modules like scipy and Orange will work.
sudo apt-get install libopenblas-devetc.). – Newmarket