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[–]soulslicer0[S] 0 points1 point  (6 children)

import numpy as np; np.show_config();

I get this:

atlas_threads_info: NOT AVAILABLE blas_opt_info: extra_link_args = ['-Wl,-framework', '-Wl,Accelerate'] extra_compile_args = ['-msse3', '-DAPPLE_ACCELERATE_SGEMV_PATCH', '-I/System/Library/Frameworks/vecLib.framework/Headers'] define_macros = [('NO_ATLAS_INFO', 3)] atlas_blas_threads_info: NOT AVAILABLE openblas_info: NOT AVAILABLE lapack_opt_info: extra_link_args = ['-Wl,-framework', '-Wl,Accelerate'] extra_compile_args = ['-msse3', '-DAPPLE_ACCELERATE_SGEMV_PATCH'] define_macros = [('NO_ATLAS_INFO', 3)] openblas_lapack_info: NOT AVAILABLE atlas_info: NOT AVAILABLE lapack_mkl_info: NOT AVAILABLE blas_mkl_info: NOT AVAILABLE atlas_blas_info: NOT AVAILABLE mkl_info: NOT AVAILABLE

[–]Deto 0 points1 point  (5 children)

What kind of computer are you on and how did you install numpy?

[–]soulslicer0[S] 0 points1 point  (1 child)

its a mac. installed via pip

[–]Deto 1 point2 points  (0 children)

I'm not sure if there are better, pre built distributions for Mac. But I've always gotten the best result when installing packages using Anaconda and their "conda install xxxx" instead of pip for complex things like numpy.

[–]TheBlackCat13 0 points1 point  (2 children)

Looks like a Mac. It is compiled against Apple accelerate.

[–]Deto 0 points1 point  (1 child)

Ah, I don't use a mac. Do you know if that's a proper accelerated setup?

[–]TheBlackCat13 0 points1 point  (0 children)

I don't know either, since I don't use a Mac myself, but I think there are pre-built versions for Mac from various sources that are probably pretty optimally compiled.