Introducing "vectorized" byte on unpacket_traits structs

This is a preparation to a change on gebp_traits, where a new template
argument will be introduced to dictate the packet size, so it won't be
bound to the current/max packet size only anymore.

By having packet types defined early on gebp_traits, one has now to
act on packet types, not scalars anymore, for the enum values defined
on that class. One approach for reaching the vectorizable/size
properties one needs there could be getting the packet's scalar again
with unpacket_traits<>, then the size/Vectorizable enum entries from
packet_traits<>. It turns out guards like "#ifndef
EIGEN_VECTORIZE_AVX512" at AVX/PacketMath.h will hide smaller packet
variations of packet_traits<> for some types (and it makes sense to
keep that). In other words, one can't go back to the scalar and create
a new PacketType, as this will always lead to the maximum packet type
for the architecture.

The less costly/invasive solution for that, thus, is to add the
vectorizable info on every unpacket_traits struct as well.
18 files changed
tree: 8f2546814d92e2f460e2b1abe385d96d50e1ef73
  1. bench/
  2. blas/
  3. cmake/
  4. debug/
  5. demos/
  6. doc/
  7. Eigen/
  8. failtest/
  9. lapack/
  10. scripts/
  11. test/
  12. unsupported/
  13. .hgeol
  14. .hgignore
  15. CMakeLists.txt
  16. COPYING.BSD
  17. COPYING.GPL
  18. COPYING.LGPL
  19. COPYING.MINPACK
  20. COPYING.MPL2
  21. COPYING.README
  22. CTestConfig.cmake
  23. CTestCustom.cmake.in
  24. eigen3.pc.in
  25. INSTALL
  26. README.md
  27. signature_of_eigen3_matrix_library
README.md

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

For more information go to http://eigen.tuxfamily.org/.

For pull request please only use the official repository at https://bitbucket.org/eigen/eigen.

For bug reports and feature requests go to http://eigen.tuxfamily.org/bz.