TensorStorage with FixedDimensions now has zero instance memory overhead.
Removed m_dimension as instance member of TensorStorage with
FixedDimensions and instead use the template parameter. This
means that the sizeof a pure fixed-size storage is exactly
equal to the data it is storing.
2 files changed
tree: 2f5ae4666ef9cffe8fc180b0913aa9d8c53242f0
  1. bench/
  2. blas/
  3. ci/
  4. cmake/
  5. debug/
  6. demos/
  7. doc/
  8. Eigen/
  9. failtest/
  10. lapack/
  11. scripts/
  12. test/
  13. unsupported/
  14. .gitignore
  15. .gitlab-ci.yml
  16. .hgeol
  17. CMakeLists.txt
  18. COPYING.APACHE
  19. COPYING.BSD
  20. COPYING.GPL
  21. COPYING.LGPL
  22. COPYING.MINPACK
  23. COPYING.MPL2
  24. COPYING.README
  25. CTestConfig.cmake
  26. CTestCustom.cmake.in
  27. eigen3.pc.in
  28. INSTALL
  29. README.md
  30. 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, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.