Hi there! I'm having troubles getting numpy to work with ACML. I'm running Ubuntu 12.04 on an x86-64 system and use acml 5.1.0.
On my first try, I installed numpy/scipy from the official ubuntu repository, then just changed the symlink to the blas/lapack libraries of my system to use acml. i.e. I did: ln -s /usr/lib/liblapack.so.3gf /opt/acml5.1.0/gfortran64_fma4/lib/libacml.so ln -s /usr/lib/libblas.so.3gf /opt/acml5.1.0/gfortran64_fma4/lib/libacml.so This method worked perfectly fine for Octave. However with numpy the following code will always run into what seems to be an endless loop: import numpy as np import time a = np.random.randn(5000, 5000) t0 = time.clock() b = np.dot(a, a) t1 = time.clock() print t1 - t0 The process will have 100% CPU usage and will not show any activity under strace. A gdb backtrace looks as follows: (gdb) bt #0 0x00007fdcc000e524 in ?? () from /usr/lib/python2.7/dist-packages/numpy/core/multiarray.so #1 0x00007fdcc008bcb9 in ?? () from /usr/lib/python2.7/dist-packages/numpy/core/multiarray.so #2 0x00007fdcc00a304d in ?? () from /usr/lib/python2.7/dist-packages/numpy/core/multiarray.so #3 0x000000000042a485 in PyEval_EvalFrameEx () #4 0x00000000004317f2 in PyEval_EvalCodeEx () #5 0x000000000054bd50 in PyRun_InteractiveOneFlags () #6 0x000000000054c045 in PyRun_InteractiveLoopFlags () #7 0x000000000054ce9f in Py_Main () #8 0x00007fdcc0e7976d in __libc_start_main () from /lib/x86_64-linux-gnu/libc.so.6 Curiously enough, when changing the matrix-dimensions from 5000x5000 to 500x500, all is good and the code executes in 0.32 seconds. (As a reference: the 5000x5000 matrix multiply takes 65 seconds in octave with ATLAS and 10 seconds with ACML, so the problem is not that the matrix-multiply just takes too long). I then tried compiling numpy-1.6.1 myself, doing: tar xzf numpy-1.6.1.tar.gz cd numpy-1.6.1/ export CFLAGS="-O3 -march=native" export CXXFLAGS="-O3 -march=native" export FFLAGS="-O3 -march=native" export FCFLAGS="-O3 -march=native" export LDFLAGS="-O3" export BLAS=/opt/acml5.1.0/gfortran64_fma4/lib/libacml.so export LAPACK=/opt/acml5.1.0/gfortran64_fma4/lib/libacml.so export ATLAS=None python setup.py build This worked (apart from a missing '-shared' flag when linking lapack_lite.so, which I then had to link by hand by adding the flag), however the error persisted. The same with numpy-1.6.2rc1. Fromt here I don't know how to proceed. Any help would be greatly appreciated :) Cheers Thomas _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion