Re: [eigen] alignment issues, conversion between aligned / unaligned data, unaligned Eigen::Rotation2D

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On 2018-08-20 18:32, bubnikv wrote:
[...]
Just for reference, I am using Visual Studio 2013 compiler, 64bit platform,
and Eigen 3.3.5.
[...]
The issue I have with Rotation2D is the following:

         Eigen::Matrix<double, 2, 1, Eigen::DontAlign> v, w;
         Eigen::Rotation2Dd rot(3.);
         // Following fails to compile:
         v = rot * w;
         // Explicit temporary helps:
         v = rot * Eigen::Matrix<double, 2, 1>(w);

This should work (testing with Eigen 3.3.4 and MSVC2015):
https://godbolt.org/z/EFv5ok

Maybe something else causes an error or it is a defect in MSVC2013. Could you post the compile error you get (and a complete minimal source you tried to compile + compilation flags)?
Maybe we find a workaround for that.


Christoph




So thanks for the hint about I understand that there is always a way to
rotate the vector. I am just pointing out, that as a user of a finely
polished library, I would expect the Rotation2D to just work with both
aligned and non-aligned types.

Gruesse nach Bremen,
Vojtech


On Mon, Aug 20, 2018 at 3:37 PM, Christoph Hertzberg <
chtz@xxxxxxxxxxxxxxxxxxxxxxxx> wrote:



On 2018-08-20 15:14, bubnikv wrote:

Hello.

We are developing a 3D printing software https://github.com/prusa3d/sli
c3r
(fork of http://slic3r.org/)

We are now trying to replace the homebrew point classes with the Eigen
fixed size types. As the code base is quite large, we want to avoid
alignment issues by declaring fixed vector types with the Eigen::DontAlign
attribute. So far so good, with the exception of Eigen::Rotation2D, which
is not templated with the alignment attribute, so it cannot be used
against
the fixed size matrices with Eigen::DontAlign. Is there any reason for
that? Would you guys please extend the class with the alignment template
attribute?


Rotation2D stores just a single Scalar (the angle), so there is no
need/possibility to align it.
Alternatively, you could store a 2D rotation as a 2x2 matrix, or as a
complex number (neither of them inherits from RotationBase, though).


We are thinking of using https://github.com/libigl/libigl for some
operations on triangle meshes, where the vectorized operations may or may
not be beneficial. We may just disable alignment / vectorization for the
whole application. We are not sure about the performance penalty, but
looking at the evaluation of Eigen 2 from 2008
http://eigen.tuxfamily.org/index.php?title=Benchmark-August2008
the loss may be significant.


On modern CPUs the difference between aligned and not-aligned is far less
or even non-existing (except for effects like crossing cache-lines). And
with Eigen 3.3 it is possible to use vectorization on unaligned data
(enabled by default):
http://eigen.tuxfamily.org/bz/show_bug.cgi?id=256#c10

So make meaningful benchmarks on the CPU you want to target to decide if
you need to invest time into that.

We may then think about converting between the aligned / non aligned
values. Does Eigen support any conversion between aligned / unaligned
types? I know about the .cast<>() operator, but it does not allow me to
change the alignment attribute.


You can simply copy in either direction, or you can mix aligned and
non-aligned data inside expressions. No need to cast here.



Christoph



Thanks for your time,
Vojtech


--
  Dr.-Ing. Christoph Hertzberg

  Besuchsadresse der Nebengeschäftsstelle:
  DFKI GmbH
  Robotics Innovation Center
  Robert-Hooke-Straße 5
  28359 Bremen, Germany

  Postadresse der Hauptgeschäftsstelle Standort Bremen:
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  Robotics Innovation Center
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  Tel.:     +49 421 178 45-4021
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--
 Dr.-Ing. Christoph Hertzberg

 Besuchsadresse der Nebengeschäftsstelle:
 DFKI GmbH
 Robotics Innovation Center
 Robert-Hooke-Straße 5
 28359 Bremen, Germany

 Postadresse der Hauptgeschäftsstelle Standort Bremen:
 DFKI GmbH
 Robotics Innovation Center
 Robert-Hooke-Straße 1
 28359 Bremen, Germany

 Tel.:     +49 421 178 45-4021
 Zentrale: +49 421 178 45-0
 E-Mail:   christoph.hertzberg@xxxxxxx

 Weitere Informationen: http://www.dfki.de/robotik
 -----------------------------------------------------------------------
 Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH
 Firmensitz: Trippstadter Straße 122, D-67663 Kaiserslautern
 Geschaeftsfuehrung: Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster
 (Vorsitzender) Dr. Walter Olthoff
 Vorsitzender des Aufsichtsrats: Prof. Dr. h.c. Hans A. Aukes
 Amtsgericht Kaiserslautern, HRB 2313
 Sitz der Gesellschaft: Kaiserslautern (HRB 2313)
 USt-Id.Nr.:    DE 148646973
 Steuernummer:  19/672/50006
 -----------------------------------------------------------------------



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