Bug#905842: please consider uploading eigen3 3.3.5
Anton Gladky
gladk at debian.org
Sat Aug 18 14:36:40 BST 2018
Well, if the tensorflow deviation of eigen3 is too large,
I think it is allowed to use the embedded eigen3 for the
tensorflow.
Anton
2018-08-18 14:53 GMT+02:00 Lumin <cdluminate at gmail.com>:
> On Sat, Aug 18, 2018 at 01:28:18PM +0200, Andreas Tille wrote:
>> Hi,
>>
>> On Fri, Aug 10, 2018 at 01:24:16PM +0000, Lumin wrote:
>> >
>> > So I'd suggest that upload the 3.3.5 version with the above ppc64el fix.
>>
>> I commited new upstream source to Git but there are quilt patches that
>> do not apply cleanly. I have no time to investigate this more deeply
>> and left a note in d/changelog about this work item to be done. Sorry
>> for not beeing more helpful - feel free to take over
>
> Thanks Andreas, Anton is working on newer eigen3, see #906126
>
> importing 3.3.5 is not enough for building tensorflow. I need not
> only the following function signature in
> unsupported/Eigen/CXX11/src/ThreadPool/NonBlockingThreadPool.h
>
> 25 ThreadPoolTempl(int num_threads, bool allow_spinning,
> 26 Environment env = Environment())
>
> But bitbucket is very hard to use and I struggled for a long while
> with it but I still cannot find out which commit introduced this change.
>
>
> @Anton:
>
> I think I can make a differential between eigen 3.3.5 and the eigen
> snapshot that tensorflow used, and patch the eigen library when building
> tensorflow. Since eigen3 is a header only library, this is not hard to
> achive.
>
> I'm able to build libtensorflow.so and the python interface library
> with the patch series https://github.com/tensorflow/tensorflow/pull/21699 ,
> embedded eigen3 and embedded double-precision.
> However the python package still misses some python dependencies.
>
>>
>> Andreas.
>>
>> --
>> http://fam-tille.de
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