|Re: [eigen] compile-time multidimensional arrays|
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thanks for pointing me at the TensorFixedSize class. The proposed
multidim has more power on slicing/viewing the multidimensional data
manipulating size/steps pairs.
At the same time multidim storage is based on Eigen Matrix while Tensor
starts from scratch (C++ array of T).
Also for the offset computation I played a bit with metaprogramming,
while in Tensor it seems to be relying in inlining via instantiation of
Il 21/07/15 11:10, Christoph Hertzberg ha scritto:
I did not have a look at your source yet, but can you tell if it
significantly differs from the existing (unsupported) Tensor code
The existing Tensor code is far from being feature-complete or stable
at the moment, so any feature requests or API changes are at least
open for debate.
On 21.07.2015 at 09:37, Emanuele Ruffaldi wrote:
Dear Eigen members,
I have drafted a compile-time multidimensional array class based on
C++11 parameter packs, using Eigen for underlying math operations.
It would be interesting to have some comments on the approach taken:
Emanuele Ruffaldi, Ph.D. Assistant Professor
PERCRO, TeCIP Institute Scuola Superiore Sant'Anna
via Luigi Alamanni 13D San Giuliano Terme 56010 (PI), Italy
mob.: +39 340 46 72 468 tel.: +39 050 882 508
fax.: +39 050 882 564 skype: pititaly