| Commit message (Collapse) | Author | Age | ||
|---|---|---|---|---|
| ... | ||||
| * | | | Make EIGEN_HAS_STD_RESULT_OF user configurable |  Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Make EIGEN_HAS_C99_MATH user configurable | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Make EIGEN_HAS_RVALUE_REFERENCES user configurable | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Rename EIGEN_HAVE_RVALUE_REFERENCES to EIGEN_HAS_RVALUE_REFERENCES | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | polygamma is C99/C++11 only | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Add a EIGEN_MAX_CPP_VER option to limit the C++ version to be used. | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Improve doc of special math functions | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Rename UniformRandom to UnitRandom. | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | Fix coding practice in Quaternion::UniformRandom | Gael Guennebaud | 2016-05-20 | |
| | | | | ||||
| * | | | bug #823: add static method to Quaternion for uniform random rotations. |  Joseph Mirabel | 2016-05-20 | |
| | | | | ||||
| * | | | Remove std:: to enable custom scalar types. | Gael Guennebaud | 2016-05-19 | |
| | | | | ||||
| | * | | Merged eigen/eigen into default |  Rasmus Larsen | 2016-05-18 | |
| | |\ \ | ||||
| | * \ \ | Merge. | Rasmus Munk Larsen | 2016-05-18 | |
| | |\ \ \ | ||||
| | * | | | | Minor cleanups: 1. Get rid of unused variables. 2. Get rid of last uses of ↵ | Rasmus Munk Larsen | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | | | | | EIGEN_USE_COST_MODEL. | |||
| | | * | | | Reduce overhead for small tensors and cheap ops by short-circuiting the ↵ | Rasmus Munk Larsen | 2016-05-17 | |
| | |/ / / | | | | | | | | | | | | | const computation and block size calculation in parallelFor. | |||
| | | | * | Merged latest updates from trunk |  Benoit Steiner | 2016-05-17 | |
| | | | |\ | ||||
| | | | * | | Allow vectorized padding on GPU. This helps speed things up a little. | Benoit Steiner | 2016-05-17 | |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Before: BM_padding/10 5000000 460 217.03 MFlops/s BM_padding/80 5000000 460 13899.40 MFlops/s BM_padding/640 5000000 461 888421.17 MFlops/s BM_padding/4K 5000000 460 54316322.55 MFlops/s After: BM_padding/10 5000000 454 220.20 MFlops/s BM_padding/80 5000000 455 14039.86 MFlops/s BM_padding/640 5000000 452 904968.83 MFlops/s BM_padding/4K 5000000 411 60750049.21 MFlops/s | |||
| * | | | | | made a fix to the GMRES solver so that it now correctly reports the error ↵ |  David Dement | 2016-05-16 | |
| | | | | | | | | | | | | | | | | | | | | | achieved in the solution process | |||
| * | | | | | Fix unit test. | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | Improve unit tests of zeta, polygamma, and digamma | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | zeta and polygamma are not unary functions, but binary ones. | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | zeta and digamma do not require C++11/C99 | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | Add some c++11 flags in documentation | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | bug #1201: optimize affine*vector products | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | bug #1221: disable gcc 6 warning: ignoring attributes on template argument | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | Fix SelfAdjointEigenSolver for some input expression types, and add new ↵ | Gael Guennebaud | 2016-05-19 | |
| | | | | | | | | | | | | | | | | | | | | | regression unit tests for sparse and selfadjointview inputs. | |||
| * | | | | | DiagonalWrapper is a vector, so it must expose the LinearAccessBit flag. | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | Add support for SelfAdjointView::diagonal() | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | Fix SelfAdjointView::triangularView for complexes. | Gael Guennebaud | 2016-05-19 | |
| | | | | | | ||||
| * | | | | | bug #1230: add support for SelfadjointView::triangularView. | Gael Guennebaud | 2016-05-19 | |
| | |/ / / |/| | | | ||||
| * | | | | Advertize the packet api of the tensor reducers iff the corresponding packet ↵ | Benoit Steiner | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | primitives are available. | |||
| * | | | | bug #1231: fix compilation regression regarding complex_array/=real_array ↵ | Gael Guennebaud | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | and add respective unit tests | |||
| * | | | | Use coeff(i,j) instead of operator(). | Gael Guennebaud | 2016-05-18 | |
| | | | | | ||||
| * | | | | bug #1224: fix regression in (dense*dense).sparseView() by specializing ↵ | Gael Guennebaud | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | evaluator<SparseView<Product>> for sparse products only. | |||
| * | | | | Use default sorting strategy for square products. | Gael Guennebaud | 2016-05-18 | |
| | | | | | ||||
| * | | | | Extend sparse*sparse product unit test to check that the expected ↵ | Gael Guennebaud | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | implementation is used (conservative vs auto pruning). | |||
| * | | | | bug #1229: bypass usage of Derived::Options which is available for plain ↵ | Gael Guennebaud | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | matrix types only. Better use column-major storage anyway. | |||
| * | | | | Pass argument by const ref instead of by value in pow(AutoDiffScalar...) | Gael Guennebaud | 2016-05-18 | |
| | | | | | ||||
| * | | | | bug #1223: fix compilation of AutoDiffScalar's min/max operators, and add ↵ | Gael Guennebaud | 2016-05-18 | |
| | | | | | | | | | | | | | | | | | regression unit test. | |||
| * | | | | bug #1222: fix compilation in AutoDiffScalar and add respective unit test | Gael Guennebaud | 2016-05-18 | |
| | | | | | ||||
| * | | | | Big 1213: add regression unit test. | Gael Guennebaud | 2016-05-18 | |
| | | | | | ||||
| * | | | | bug #1213: rename some enums type for consistency. | Gael Guennebaud | 2016-05-18 | |
| |/ / / | ||||
| * | | | #if defined(EIGEN_USE_NONBLOCKING_THREAD_POOL) is now #if ↵ | Benoit Steiner | 2016-05-17 | |
| | | | | | | | | | | | | | !defined(EIGEN_USE_SIMPLE_THREAD_POOL): the non blocking thread pool is the default since it's more scalable, and one needs to request the old thread pool explicitly. | |||
| * | | | Fixed compilation error | Benoit Steiner | 2016-05-17 | |
| | | | | ||||
| * | | | Fixed compilation error in the tensor thread pool | Benoit Steiner | 2016-05-17 | |
| | | | | ||||
| * | | | Merge upstream. | Rasmus Munk Larsen | 2016-05-17 | |
| |\ \ \ | ||||
| * | | | | Roll back changes to core. Move include of TensorFunctors.h up to satisfy ↵ | Rasmus Munk Larsen | 2016-05-17 | |
| | | | | | | | | | | | | | | | | | dependence in TensorCostModel.h. | |||
| | * | | | Merged eigen/eigen into default | Rasmus Larsen | 2016-05-17 | |
| |/| | | | ||||
| | * | | | Enable the use of the packet api to evaluate tensor broadcasts. This speed ↵ | Benoit Steiner | 2016-05-17 | |
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | things up quite a bit: Before" M_broadcasting/10 500000 3690 27.10 MFlops/s BM_broadcasting/80 500000 4014 1594.24 MFlops/s BM_broadcasting/640 100000 14770 27731.35 MFlops/s BM_broadcasting/4K 5000 632711 39512.48 MFlops/s After: BM_broadcasting/10 500000 4287 23.33 MFlops/s BM_broadcasting/80 500000 4455 1436.41 MFlops/s BM_broadcasting/640 200000 10195 40173.01 MFlops/s BM_broadcasting/4K 5000 423746 58997.57 MFlops/s | |||
| | * | | | Allow vectorized padding on GPU. This helps speed things up a little | Benoit Steiner | 2016-05-17 | |
| | | |/ | |/| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Before: BM_padding/10 5000000 460 217.03 MFlops/s BM_padding/80 5000000 460 13899.40 MFlops/s BM_padding/640 5000000 461 888421.17 MFlops/s BM_padding/4K 5000000 460 54316322.55 MFlops/s After: BM_padding/10 5000000 454 220.20 MFlops/s BM_padding/80 5000000 455 14039.86 MFlops/s BM_padding/640 5000000 452 904968.83 MFlops/s BM_padding/4K 5000000 411 60750049.21 MFlops/s | |||
 |
index : eigen | |
| C++ library for linear algebra |
| aboutsummaryrefslogtreecommitdiffhomepage |