Created attachment 347784 [details] emerge --info Scipy fails the following very simple testcase of eigs: import numpy as np import scipy from scipy.sparse.linalg import eigs n = 4 M1 = np.random.rand(n,n) M2 = np.random.rand(n,n) M2 = M2 + M2.T if 1: print '#### working' print eigs(A=M1, k=1) print eigs(A=M1, M=M2, k=2) if 1: print '### not working (SEGFAULT)' C = np.random.rand(n,n) A = M1+1j*C # note A is now complex print eigs(A=A, k=2) #print eigs(A=A, M=M2, k=2) This might be realted to the fact that numpy / scipy select the 32bit bit version of the MKL libraries (ignoring MKL variables) and I am on a 64-bit platform. Below is some detailed description. Note that the same test works with ATLAS. However, getting ATLAS to run with current scipy somehow is currently broken in Gentoo (I just filed a separate bug). Configuration: scipy, numpy, atlas, mkl. This happens independent what I select in eselect blas. In fact eselect blas/cblas/lapack all set to atlas and still scipy decides to prefer MKL. Applies to: sci-libs/scipy-0.12.0 and sci-libs/scipy-0.11.0-r1. I did not test it with 0.9.0-r1 (it lacks some functionality in `eigs`). **** Running a simple python script that calls eigs fails with: > python test_scipy.py MKL FATAL ERROR: /opt/intel/mkl/10.0.5.025/lib/32/libmkl_lapack.so: undefined symbol: __mkl_cfg_file_readed_extern *** Using LD_PRELOAD for 32-bit libraries: > export LD_PRELOAD=/opt/intel/mkl/10.0.5.025/lib/32/libmkl_core.so > python test_scipy.py #### working (array([ 2.07016704+0.j]), array([[-0.52946422+0.j], [-0.48910097+0.j], [-0.58222357+0.j], [-0.37611648+0.j]])) (array([-1.61567722-1.07039665j, -5.12037359+0.j ]), array([[ -4.14181101e-02-0.02156263j, 2.82256147e-05+0.j ], [ -7.27454445e-01-0.50340818j, 5.10971431e-04+0.j ], [ 9.63657926e-01+0.24638324j, -5.43569514e-04+0.j ], [ -5.91602634e-01+0.18868952j, 2.34798101e-04+0.j ]])) ### not working (SEGFAULT) Segmentation fault gdb reveals: Program received signal SIGSEGV, Segmentation fault. 0x00007fffec034341 in mkl_lapack_zladiv () from /opt/intel/mkl/10.0.5.025/lib/em64t/libmkl_lapack.so > unset LD_PRELOAD *** Setting MKL variables to 32-bit version: > source /opt/intel/mkl/10.0.5.025/tools/environment/mklvars32.sh > python test_scipy.py MKL FATAL ERROR: /opt/intel/mkl/10.0.5.025/lib/32/libmkl_lapack.so: undefined symbol: __mkl_cfg_file_readed_extern *** Setting MKL variables to 64bit: > source /opt/intel/mkl/10.0.5.025/tools/environment/mklvars64.sh > python test_scipy.py MKL FATAL ERROR: /opt/intel/mkl/10.0.5.025/lib/32/libmkl_lapack.so: undefined symbol: __mkl_cfg_file_readed_extern *** Versions **** [ebuild R ~] dev-python/numpy-1.7.1 USE="lapack -doc {-test}" PYTHON_TARGETS="python2_7 python3_2 -python2_5 -python2_6 -python3_1 (-python3_3)" 0 kB [ebuild R ~] sci-libs/scipy-0.12.0 USE="-doc -sparse {-test}" PYTHON_TARGETS="python2_7 python3_2 -python2_5 -python2_6 (-python3_3)" 0 kB
Please see whether this is still valid for scipy 0.14/0.15.
