Also, for some reason, scikit-learn tries to build for posix on my system,
rather than mac osx.
On Oct 16, 2012, at 3:07 PM, Andrew Godbehere
<[email protected]> wrote:
> Hi Andy,
>
> I was suspicious of clang, I'd rather this build with gcc. I'll look into
> changing that.
>
>
> Here's the output from distutils on blas_opt:
> {'extra_link_args': ['-Wl,-framework', '-Wl,Accelerate'],
> 'extra_compile_args': ['-msse3',
> '-I/System/Library/Frameworks/vecLib.framework/Headers'], 'define_macros':
> [('NO_ATLAS_INFO', 3)]}
>
> Do you see anything suspicious there?
>
> I'm trying to find _ATL_drotg, but I'm first having trouble locating the
> appropriate .so files on my system. I'll have more info once I track them
> down. I'll check cblas and atlas.
>
> Thanks for the help!
>
> Best,
> Andrew
>
> On Oct 16, 2012, at 1:11 PM, Andreas Mueller <[email protected]> wrote:
>
>> Hi Andrew.
>> Let's see if we can get to the bottom of this.
>> I'm really no expert here.
>>
>> On 10/16/2012 09:01 PM, Andrew Godbehere wrote:
>>> otools (as opposed to ldd) on arrayfuncs.so yields:
>>> (1) /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current
>>> version 169.3.0)
>>> (2) /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate
>>> (compatibility version 1.0.0, current version 4.0.0)
>>>
>>> I'm hoping this isn't an issue with OSX Accelerate.
>>>
>>> arrayfuncs.so was built as follows:
>>>
>>> /usr/bin/clang -bundle -undefined dynamic_lookup -L/opt/local/lib
>>> build/temp.macosx-10.8-x86_64-2.7/sklearn/utils/arrayfuncs.o
>>> -Lbuild/temp.macosx-10.8-x86_64-2.7 -lcblas -lm -o
>>> sklearn/utils/arrayfuncs.so -Wl,-framework -Wl,Accelerate
>>>
>> Err. Has any one tried building with clang yet? But I guess that's not the
>> problem ;)
>> I would have expected some atlas linker flags.
>> Do you by any chance know where
>> _ATL_drotg is defined? I have drotg from cblas and it is defined in
>> cblas.so. So I would guess some linker flag is missing.
>>
>> Also, could you please run:
>>
>> from numpy.distutils.system_info import get_info; print get_info('blas_opt',
>> 0)
>>
>> This should tell us what numpy things are good compiler flags.
>>
>> Andy
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