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* Add support for MIPS SIMD (MSA)Gravatar Alexey Frunze2018-07-06
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* Fix shadowing typedefsGravatar Gael Guennebaud2018-07-12
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* Fix compilation regarding std::arrayGravatar Gael Guennebaud2018-07-12
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* fix unused warningGravatar Gael Guennebaud2018-07-12
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* Cleanup the mess in Eigen/Core by moving CUDA/HIP stuff at more appropriate ↵Gravatar Gael Guennebaud2018-07-12
| | | | | | places (Macros.h), and alignment/vectorization logic is now in util/ConfigureVectorization.h
* Add missing consts for rows and cols functions in SparseLUGravatar Julian Kent2018-02-10
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* remove double ;;Gravatar Gael Guennebaud2018-07-12
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* bug #1570: fix warningGravatar Gael Guennebaud2018-07-12
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* Merged in deven-amd/eigen (pull request PR-402)Gravatar Gael Guennebaud2018-07-12
|\ | | | | | | Adding support for using Eigen in HIP kernels.
* | Remove useless specialization thanks to is_convertible being more robust.Gravatar Gael Guennebaud2018-07-12
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* | spellcheckGravatar Gael Guennebaud2018-07-12
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* | Make is_convertible more robust and conformant to std::is_convertibleGravatar Gael Guennebaud2018-07-12
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* | Optimize the product of a householder-sequence with the identity, and ↵Gravatar Gael Guennebaud2018-07-11
| | | | | | | | optimize the evaluation of a HouseholderSequence to a dense matrix using faster blocked product.
* | Fix regression in 9357838f94d2907996adadc7e5200376f3561ed4Gravatar Gael Guennebaud2018-07-11
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* | Fix double ;;Gravatar Gael Guennebaud2018-07-11
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| * Updates corresponding to the latest round of PR feedbackGravatar Deven Desai2018-07-11
| | | | | | | | | | | | | | | | | | | | | | | | | | | | The major changes are 1. Moving CUDA/PacketMath.h to GPU/PacketMath.h 2. Moving CUDA/MathFunctions.h to GPU/MathFunction.h 3. Moving CUDA/CudaSpecialFunctions.h to GPU/GpuSpecialFunctions.h The above three changes effectively enable the Eigen "Packet" layer for the HIP platform 4. Merging the "hip_basic" and "cuda_basic" unit tests into one ("gpu_basic") 5. Updating the "EIGEN_DEVICE_FUNC" marking in some places The change has been tested on the HIP and CUDA platforms.
| * renaming CUDA* to GPU* for some header filesGravatar Deven Desai2018-07-11
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| * merging updates from upstreamGravatar Deven Desai2018-07-11
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* | Optimize extraction of Q in SparseQR by exploiting the structure of the ↵Gravatar Gael Guennebaud2018-07-11
| | | | | | | | identity matrix.
* | Add internall::is_identity compile-time helperGravatar Gael Guennebaud2018-07-11
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* | Fix conversion warningGravatar Gael Guennebaud2018-07-10
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* | bug #1543: improve linear indexing for general block expressionsGravatar Gael Guennebaud2018-07-10
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* | Introduce the macro ei_declare_local_nested_eval to help allocating on the ↵Gravatar Gael Guennebaud2018-07-09
| | | | | | | | | | | | stack local temporaries via alloca, and let outer-products makes a good use of it. If successful, we should use it everywhere nested_eval is used to declare local dense temporaries.
* | Skip null numerators in triangular-vector-solve (as in BLAS TRSV).Gravatar Gael Guennebaud2018-07-09
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* | Fix legitimate "declaration shadows a typedef" warningGravatar Gael Guennebaud2018-07-09
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* | Fix the Packet16h version of ptransposeGravatar Mark D Ryan2018-06-16
| | | | | | | | | | | | | | | | | | | | | | The AVX512 version of ptranpose for PacketBlock<Packet16h,16> was reordering the PacketBlock argument incorrectly. This lead to errors in the multiplication of matrices composed of 16 bit floats on AVX512 machines, if at least of the matrices was using RowMajor order. This error is responsible for one tensorflow unit test failure on AVX512 machines: //tensorflow/python/kernel_tests:batch_matmul_op_test
* | Fix a few issues with Packet16hGravatar Gael Guennebaud2018-07-07
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* | complete implementation of Packet16h (AVX512)Gravatar Gael Guennebaud2018-07-06
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* | Complete Packet8h implementation and test it in packetmath unit testGravatar Gael Guennebaud2018-07-06
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| * updates based on PR feedbackGravatar Deven Desai2018-06-14
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | There are two major changes (and a few minor ones which are not listed here...see PR discussion for details) 1. Eigen::half implementations for HIP and CUDA have been merged. This means that - `CUDA/Half.h` and `HIP/hcc/Half.h` got merged to a new file `GPU/Half.h` - `CUDA/PacketMathHalf.h` and `HIP/hcc/PacketMathHalf.h` got merged to a new file `GPU/PacketMathHalf.h` - `CUDA/TypeCasting.h` and `HIP/hcc/TypeCasting.h` got merged to a new file `GPU/TypeCasting.h` After this change the `HIP/hcc` directory only contains one file `math_constants.h`. That will go away too once that file becomes a part of the HIP install. 2. new macros EIGEN_GPUCC, EIGEN_GPU_COMPILE_PHASE and EIGEN_HAS_GPU_FP16 have been added and the code has been updated to use them where appropriate. - `EIGEN_GPUCC` is the same as `(EIGEN_CUDACC || EIGEN_HIPCC)` - `EIGEN_GPU_DEVICE_COMPILE` is the same as `(EIGEN_CUDA_ARCH || EIGEN_HIP_DEVICE_COMPILE)` - `EIGEN_HAS_GPU_FP16` is the same as `(EIGEN_HAS_CUDA_FP16 or EIGEN_HAS_HIP_FP16)`
| * moving Half headers from CUDA dir to GPU dir, removing the HIP versionsGravatar Deven Desai2018-06-13
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| * syncing this fork with upstreamGravatar Deven Desai2018-06-13
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* | | Extend CUDA support to matrix inversion and selfadjointeigensolverGravatar Andrea Bocci2018-06-11
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* | | bug #1565: help MSVC to generatenot too bad ASM in reductions.Gravatar Gael Guennebaud2018-07-05
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* | | Implement custom inplace triangular product to avoid a temporaryGravatar Gael Guennebaud2018-07-03
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* | | Make is_same_dense compatible with different scalar types.Gravatar Gael Guennebaud2018-07-03
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* | | Fix regression in changeset f05dea6b2326836e5e0243fbaffbece84b833d64Gravatar Gael Guennebaud2018-07-02
| | | | | | | | | | | | : computeFromHessenberg can take any expression for matrixQ, not only an HouseholderSequence.
* | | Simplify redux_evaluator using inheritance, and properly rename parameters ↵Gravatar Gael Guennebaud2018-07-02
| | | | | | | | | | | | in reducers.
* | | bug #1562: optimize evaluation of small products of the form s*A*B by ↵Gravatar Gael Guennebaud2018-07-02
| | | | | | | | | | | | rewriting them as: s*(A.lazyProduct(B)) to save a costly temporary. Measured speedup from 2x to 5x...
* | | update commentGravatar Gael Guennebaud2018-06-29
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* | | Fix order of EIGEN_DEVICE_FUNC and returned typeGravatar Gael Guennebaud2018-06-28
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* | | First step towards a generic vectorised quaternion productGravatar Gael Guennebaud2018-06-25
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* | | bug #1560 fix product with a 1x1 diagonal matrixGravatar Gael Guennebaud2018-06-25
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* | | Fix typo in pbend for AltiVec.Gravatar Rasmus Munk Larsen2018-06-22
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* | Merged in mfigurnov/eigen/gamma-der-a (pull request PR-403)Gravatar Benoit Steiner2018-06-11
|\ \ | | | | | | | | | | | | | | | Derivative of the incomplete Gamma function and the sample of a Gamma random variable Approved-by: Benoit Steiner <benoit.steiner.goog@gmail.com>
* | | bug #1531: expose NumDimensions for solve and sparse expressions.Gravatar Gael Guennebaud2018-06-08
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* | | bug #1531: expose NumDimensions for compatibility with TensorGravatar Gael Guennebaud2018-06-08
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* | | bug #1550: prevent avoidable memory allocation in RealSchurGravatar Gael Guennebaud2018-06-08
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* | | Don't use std::equal_to inside cuda kernels since it's not supported.Gravatar Benoit Steiner2018-06-07
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* | | Missing line during manual rebase of PR-374Gravatar Christoph Hertzberg2018-06-07
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