Commit message (Collapse) | Author | Age | ||
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* | | Make EIGEN_HAS_C99_MATH user configurable | 2016-05-20 | ||
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* | | Make EIGEN_HAS_RVALUE_REFERENCES user configurable | 2016-05-20 | ||
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* | | Rename EIGEN_HAVE_RVALUE_REFERENCES to EIGEN_HAS_RVALUE_REFERENCES | 2016-05-20 | ||
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* | | polygamma is C99/C++11 only | 2016-05-20 | ||
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* | | Add a EIGEN_MAX_CPP_VER option to limit the C++ version to be used. | 2016-05-20 | ||
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* | | Improve doc of special math functions | 2016-05-20 | ||
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* | | Rename UniformRandom to UnitRandom. | 2016-05-20 | ||
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* | | Fix coding practice in Quaternion::UniformRandom | 2016-05-20 | ||
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* | | bug #823: add static method to Quaternion for uniform random rotations. | 2016-05-20 | ||
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* | | Remove std:: to enable custom scalar types. | 2016-05-19 | ||
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| * | Merged eigen/eigen into default | 2016-05-18 | ||
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| * \ | Merge. | 2016-05-18 | ||
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| * | | | Minor cleanups: 1. Get rid of unused variables. 2. Get rid of last uses of ↵ | 2016-05-18 | ||
| | | | | | | | | | | | | | | | | EIGEN_USE_COST_MODEL. | |||
| | * | | Reduce overhead for small tensors and cheap ops by short-circuiting the ↵ | 2016-05-17 | ||
| |/ / | | | | | | | | | | const computation and block size calculation in parallelFor. | |||
* | | | made a fix to the GMRES solver so that it now correctly reports the error ↵ | 2016-05-16 | ||
| | | | | | | | | | | | | achieved in the solution process | |||
* | | | Fix unit test. | 2016-05-19 | ||
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* | | | Improve unit tests of zeta, polygamma, and digamma | 2016-05-19 | ||
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* | | | zeta and polygamma are not unary functions, but binary ones. | 2016-05-19 | ||
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* | | | zeta and digamma do not require C++11/C99 | 2016-05-19 | ||
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* | | | Add some c++11 flags in documentation | 2016-05-19 | ||
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* | | | bug #1201: optimize affine*vector products | 2016-05-19 | ||
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* | | | bug #1221: disable gcc 6 warning: ignoring attributes on template argument | 2016-05-19 | ||
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* | | | Fix SelfAdjointEigenSolver for some input expression types, and add new ↵ | 2016-05-19 | ||
| | | | | | | | | | | | | regression unit tests for sparse and selfadjointview inputs. | |||
* | | | DiagonalWrapper is a vector, so it must expose the LinearAccessBit flag. | 2016-05-19 | ||
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* | | | Add support for SelfAdjointView::diagonal() | 2016-05-19 | ||
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* | | | Fix SelfAdjointView::triangularView for complexes. | 2016-05-19 | ||
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* | | | bug #1230: add support for SelfadjointView::triangularView. | 2016-05-19 | ||
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* | | Advertize the packet api of the tensor reducers iff the corresponding packet ↵ | 2016-05-18 | ||
| | | | | | | | | primitives are available. | |||
* | | bug #1231: fix compilation regression regarding complex_array/=real_array ↵ | 2016-05-18 | ||
| | | | | | | | | and add respective unit tests | |||
* | | Use coeff(i,j) instead of operator(). | 2016-05-18 | ||
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* | | bug #1224: fix regression in (dense*dense).sparseView() by specializing ↵ | 2016-05-18 | ||
| | | | | | | | | evaluator<SparseView<Product>> for sparse products only. | |||
* | | Use default sorting strategy for square products. | 2016-05-18 | ||
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* | | Extend sparse*sparse product unit test to check that the expected ↵ | 2016-05-18 | ||
| | | | | | | | | implementation is used (conservative vs auto pruning). | |||
* | | bug #1229: bypass usage of Derived::Options which is available for plain ↵ | 2016-05-18 | ||
| | | | | | | | | matrix types only. Better use column-major storage anyway. | |||
* | | Pass argument by const ref instead of by value in pow(AutoDiffScalar...) | 2016-05-18 | ||
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* | | bug #1223: fix compilation of AutoDiffScalar's min/max operators, and add ↵ | 2016-05-18 | ||
| | | | | | | | | regression unit test. | |||
* | | bug #1222: fix compilation in AutoDiffScalar and add respective unit test | 2016-05-18 | ||
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* | | Big 1213: add regression unit test. | 2016-05-18 | ||
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* | | bug #1213: rename some enums type for consistency. | 2016-05-18 | ||
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* | #if defined(EIGEN_USE_NONBLOCKING_THREAD_POOL) is now #if ↵ | 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 | 2016-05-17 | ||
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* | Fixed compilation error in the tensor thread pool | 2016-05-17 | ||
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* | Merge upstream. | 2016-05-17 | ||
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* | | Roll back changes to core. Move include of TensorFunctors.h up to satisfy ↵ | 2016-05-17 | ||
| | | | | | | | | dependence in TensorCostModel.h. | |||
| * | Merged eigen/eigen into default | 2016-05-17 | ||
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| * | Enable the use of the packet api to evaluate tensor broadcasts. This speed ↵ | 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 | 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 | |||
| * | Pulled latest updates from trunk. | 2016-05-17 | ||
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| * | | Don't rely on c++11 extension when we don't have to. | 2016-05-17 | ||
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| * | | Avoid float to double conversion | 2016-05-17 | ||
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