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* zeta and polygamma are not unary functions, but binary ones.Gravatar Gael Guennebaud2016-05-19
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* zeta and digamma do not require C++11/C99Gravatar Gael Guennebaud2016-05-19
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* Add some c++11 flags in documentationGravatar Gael Guennebaud2016-05-19
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* bug #1201: optimize affine*vector productsGravatar Gael Guennebaud2016-05-19
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* bug #1221: disable gcc 6 warning: ignoring attributes on template argumentGravatar Gael Guennebaud2016-05-19
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* Fix SelfAdjointEigenSolver for some input expression types, and add new ↵Gravatar Gael Guennebaud2016-05-19
| | | | regression unit tests for sparse and selfadjointview inputs.
* DiagonalWrapper is a vector, so it must expose the LinearAccessBit flag.Gravatar Gael Guennebaud2016-05-19
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* Add support for SelfAdjointView::diagonal()Gravatar Gael Guennebaud2016-05-19
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* Fix SelfAdjointView::triangularView for complexes.Gravatar Gael Guennebaud2016-05-19
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* bug #1230: add support for SelfadjointView::triangularView.Gravatar Gael Guennebaud2016-05-19
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* bug #1231: fix compilation regression regarding complex_array/=real_array ↵Gravatar Gael Guennebaud2016-05-18
| | | | and add respective unit tests
* Use coeff(i,j) instead of operator().Gravatar Gael Guennebaud2016-05-18
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* bug #1224: fix regression in (dense*dense).sparseView() by specializing ↵Gravatar Gael Guennebaud2016-05-18
| | | | evaluator<SparseView<Product>> for sparse products only.
* Use default sorting strategy for square products.Gravatar Gael Guennebaud2016-05-18
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* bug #1213: rename some enums type for consistency.Gravatar Gael Guennebaud2016-05-18
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* Roll back changes to core. Move include of TensorFunctors.h up to satisfy ↵Gravatar Rasmus Munk Larsen2016-05-17
| | | | dependence in TensorCostModel.h.
* Improvements to parallelFor.Gravatar Rasmus Munk Larsen2016-05-12
| | | | Move some scalar functors from TensorFunctors. to Eigen core.
* Fixed a couple of bugs related to the Pascalfamily of GPUsGravatar Benoit Steiner2016-05-11
| | | | H: Enter commit message. Lines beginning with 'HG:' are removed.
* Added the ability to load fp16 using the texture path.Gravatar Benoit Steiner2016-05-11
| | | | Improved the performance of some reductions on fp16
* Misc fixes for fp16Gravatar Benoit Steiner2016-05-11
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* Made predux_min and predux_max on fp16 less noisyGravatar Benoit Steiner2016-05-11
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* __ldg is only available with cuda architectures >= 3.5Gravatar Benoit Steiner2016-05-11
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* Fixed a typoGravatar Benoit Steiner2016-05-11
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* Do not copy for trivial 1x1 case. This also avoids a "maybe-uninitialized" ↵Gravatar Christoph Hertzberg2016-05-11
| | | | warning in some situations.
* Added missing EIGEN_DEVICE_FUNCGravatar Benoit Steiner2016-05-11
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| * Added missing EIGEN_DEVICE_FUNC qualifiersGravatar Benoit Steiner2016-05-11
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* | bug #1207: Add and fix logical-op warningsGravatar Christoph Hertzberg2016-05-11
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* | bug #1213: Give names to anonymous enumsGravatar Christoph Hertzberg2016-05-06
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* Fixed a typo in my previous commitGravatar Benoit Steiner2016-05-11
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* Workaround maybe-uninitialized warningGravatar Christoph Hertzberg2016-05-11
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* Workaround "misleading-indentation" warningsGravatar Christoph Hertzberg2016-05-11
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* Added packet primitives to compute exp, log, sqrt and rsqrt on fp16. This ↵Gravatar Benoit Steiner2016-05-10
| | | | improves the performance by 10 to 30%.
* Added support for packet processing of fp16 on kepler and maxwell gpusGravatar Benoit Steiner2016-05-06
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* Relaxed the dummy precision for fp16Gravatar Benoit Steiner2016-05-05
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* Enable and fix -Wdouble-conversion warningsGravatar Christoph Hertzberg2016-05-05
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* fix double-promotion/float-conversion in Core/SpecialFunctions.hGravatar Ola Røer Thorsen2016-05-04
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* Improve documentation of BDCSVDGravatar Gael Guennebaud2016-05-04
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* bug #1214: consider denormals as zero in D&C SVD. This also workaround ↵Gravatar Gael Guennebaud2016-05-03
| | | | infinite binary search when compiling with ICC's unsafe optimizations.
* Fixed compilation error with cuda >= 7.5Gravatar Benoit Steiner2016-05-03
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* Made a cast explicitGravatar Benoit Steiner2016-05-02
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* Fix performance regression: with AVX, unaligned stores were emitted instead ↵Gravatar Gael Guennebaud2016-05-01
| | | | of aligned ones for fixed size assignement.
* Fixed compilation errors generated by clangGravatar Benoit Steiner2016-04-29
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* Don't turn on const expressions when compiling with gcc >= 4.8 unless the ↵Gravatar Benoit Steiner2016-04-29
| | | | -std=c++11 option has been used
* Fix compilation of sparse.cast<>().transpose().Gravatar Gael Guennebaud2016-04-29
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* Fixed the igamma and igammac implementations to make them callable from a ↵Gravatar Benoit Steiner2016-04-28
| | | | gpu kernel.
* Deleted unused variableGravatar Benoit Steiner2016-04-28
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* Eliminate mutual recursion in igamma{,c}_impl::Run.Gravatar Justin Lebar2016-04-28
| | | | | | | | | | | | | | | | | | | Presently, igammac_impl::Run calls igamma_impl::Run, which in turn calls igammac_impl::Run. This isn't actually mutual recursion; the calls are guarded such that we never get into a loop. Nonetheless, it's a stretch for clang to prove this. As a result, clang emits a recursive call in both igammac_impl::Run and igamma_impl::Run. That this is suboptimal code is bad enough, but it's particularly bad when compiling for CUDA/nvptx. nvptx allows recursion, but only begrudgingly: If you have recursive calls in a kernel, it's on you to manually specify the kernel's stack size. Otherwise, ptxas will dump a warning, make a guess, and who knows if it's right. This change explicitly eliminates the mutual recursion in igammac_impl::Run and igamma_impl::Run.
* Merged in rmlarsen/eigen2 (pull request PR-183)Gravatar Benoit Steiner2016-04-27
|\ | | | | | | Detect cxx_constexpr support when compiling with clang.
| * Depend on the more extensive support for constexpr in clang:Gravatar Rasmus Munk Larsen2016-04-27
| | | | | | | | http://clang.llvm.org/docs/LanguageExtensions.html#c-1y-relaxed-constexpr
| * Detect cxx_constexpr support when compiling with clang.Gravatar Rasmus Munk Larsen2016-04-27
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