On Mon, Oct 21, 2019 at 9:34 AM William Tambellini <wtambellini@xxxxxxx> wrote:
Hi Rasmus,Thanks. If I could help (test, profil, ...), please email me. If I remember right, as today, these ops are still faster via Matrix vs Tensor:- reductions- gemvW.William Tambellini | Senior Software Developer | SDL Los Angeles | wtambellini@xxxxxxx
From: Rasmus Munk Larsen <rmlarsen@xxxxxxxxxx>
Sent: Monday, October 21, 2019 9:04 AM
To: eigen <eigen@xxxxxxxxxxxxxxxxxxx>
Subject: Re: [eigen] Should we require c++11 for Eigen tensorHi William,
Eugene Zhulenev's work on the new BlockV2 evaluation framework, should make it a lot easier to address some of the performance issues you are seeing, including adding block evaluation for concat. So far, TensorFlow as been using a custom concat operation that does not use Eigen, so we never thought to address this. But if we can make it fast in Eigen and get rid of custom code for this op, we will.
Rasmus
On Sat, Oct 19, 2019 at 6:52 PM William Tambellini <wtambellini@xxxxxxx> wrote:
Ok for me. Specially if that could ease to resolve the speed issues of the Tensor module.KindWT.
From: Christoph Hertzberg <chtz@xxxxxxxxxxxxxxxxxxxxxxxx>
Sent: Friday, October 18, 2019 10:03 AM
To: eigen@xxxxxxxxxxxxxxxxxxx <eigen@xxxxxxxxxxxxxxxxxxx>
Subject: Re: [eigen] Should we require c++11 for Eigen tensorHi!
I think some time ago there was some opposition against that step -- in
fact, originally C++03 was only introduced after the first versions of
the Tensor module.
I can't find a reference to that discussion at the moment, I think it
concerned supporting Tensor for some GPU architecture. But this was a
few years ago, and compilers likely evolved since then.
So unless there is an outcry on this list, I'm not against dropping
C++03 support of the Tensor module.
For transitioning it would of course be nice to have a clear "latest
working" version which still supports C++03, one possibility would be to
make that with the 3.4 release. OTOH, this will just complicate
maintenance and Tensors are still "unsupported" for a reason (e.g.., not
having to spend unnecessary time to support them ...)
So just making a clear cut before 3.4 sounds actually better -- this
will also simplify to maintain the upcoming 3.4 and master versions in
parallel (I guess the 3.3.x version of the Tensor module has barely been
touched in recent years).
Cheers,
Christoph
On 18/10/2019 18.46, Rasmus Munk Larsen wrote:
> Dear Eigen tensor users,
>
> Today, various c++11 features are in use in many parts of Eigen tensor,
> while other parts compile with c++03 without warnings. This division is
> rather arbitrary and primarily dictated by what parts of the code gets
> compiled for the subset of tests that are enabled in c++03 mode:
>
> https://bitbucket.org/eigen/eigen/src/default/unsupported/test/CMakeLists.txt#lines-112
>
> A larger set of tests covering the majority of the code base are only
> compiled in c++11 mode:
> https://bitbucket.org/eigen/eigen/src/c4368f48fef3737ef5a48604cfc63ce946b68616/unsupported/test/CMakeLists.txt#lines-179
>
> I don't think a user can realistically use Eigen tensor and avoid the c++11
> parts of the code. Therefore I would propose that we stop pretending that
> Eigen tensor supports c++03 and simply guard all the code with
> EIGEN_HAS_CXX11 or similar. This will then allow us to start cleaning up
> the code.
>
> Please let me know if you have any objections to this.
>
> Best,
> Rasmus
>
--
Dr.-Ing. Christoph Hertzberg
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