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459 Commits

Author SHA1 Message Date
Mehdi Goli
16a56b2ddd [SYCL] This PR adds the minimum modifications to Eigen core required to run Eigen unsupported modules on devices supporting SYCL. 
* Adding SYCL memory model
* Enabling/Disabling SYCL  backend in Core
*  Supporting Vectorization
 2019-06-27 12:25:09 +01:00
Gael Guennebaud
c53eececb0 Implement AVX512 vectorization of std::complex<float/double> 2018-12-06 15:58:06 +01:00
Gael Guennebaud
3fba59ea59 temporarily re-disable SSE/AVX vectorization of complex<> on AVX512 -> this needs to be fixed though! 2018-12-06 00:13:26 +01:00
Gael Guennebaud
f91500d303 Fix pandnot order in AVX512 2018-11-30 14:32:06 +01:00
Gael Guennebaud
aa6097395b Add missing SSE/AVX type-casting in AVX512 mode 2018-11-28 16:09:08 +01:00
Gael Guennebaud
b131a4db24 bug #1631: fix compilation with ARM NEON and clang, and cleanup the weird pshiftright_and_cast and pcast_and_shiftleft functions. 2018-11-27 23:45:00 +01:00
Gael Guennebaud
fa7fd61eda Unify SSE/AVX psin functions. 
It is based on the SSE version which is much more accurate, though very slightly slower.
This changeset also includes the following required changes:
 - add packet-float to packet-int type traits
 - add packet float<->int reinterpret casts
 - add faster pselect for AVX based on blendv
 2018-11-27 22:41:51 +01:00
Christian von Schultz
4a40b3785d Collapsed revision (based on pull request PR-325) 
* Support compiling without IO streams

Add the preprocessor definition EIGEN_NO_IO which, if defined,
disables all use of the IO streams part of the standard library.
 2018-10-22 21:14:40 +02:00
Gael Guennebaud
1dd1f8e454 bug #65: add vectorization of partial reductions along the outer-dimension, for instance: colmajor_mat.rowwise().mean() 2018-10-09 23:36:50 +02:00
Gael Guennebaud
b0c66adfb1 bug #231: initial implementation of STL iterators for dense expressions 2018-10-01 23:21:37 +02:00
Gael Guennebaud
a488d59787 merge with default Eigen 2018-09-21 11:51:49 +02:00
Mehdi Goli
01358300d5 Creating separate SYCL required PR for uncontroversial files. 2018-08-03 16:59:15 +01:00
Rasmus Munk Larsen
2ebcb911b2 Add pcast packet op for NEON. 2018-07-26 14:28:48 -07:00
Alexey Frunze
1f523e7304 Add MIPS changes missing from previous merge. 2018-07-18 12:27:50 -07:00
Gael Guennebaud
308725c3c9 More clearly disable the inclusion of src/Core/arch/CUDA/Complex.h without CUDA 2018-07-18 13:51:36 +02:00
Gael Guennebaud
86d9c0255c Forward declaring std::array does not work with all std libs, so let's just include <array> 2018-07-13 13:06:44 +02:00
Gael Guennebaud
006e18e52b Cleanup the mess in Eigen/Core by moving CUDA/HIP stuff at more appropriate places (Macros.h), 
and alignment/vectorization logic is now in util/ConfigureVectorization.h
 2018-07-12 16:57:41 +02:00
Deven Desai
876f392c39 Updates corresponding to the latest round of PR feedback 
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.
 2018-07-11 10:39:54 -04:00
Deven Desai
38807a2575 merging updates from upstream 2018-07-11 09:17:33 -04:00
Deven Desai
b6cc0961b1 updates based on PR feedback 
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)`
 2018-06-14 10:21:54 -04:00
Andrea Bocci
f7124b3e46 Extend CUDA support to matrix inversion and selfadjointeigensolver 2018-06-11 18:33:24 +02:00
Deven Desai
8fbd47052b Adding support for using Eigen in HIP kernels. 
This commit enables the use of Eigen on HIP kernels / AMD GPUs. Support has been added along the same lines as what already exists for using Eigen in CUDA kernels / NVidia GPUs.

Application code needs to explicitly define EIGEN_USE_HIP when using Eigen in HIP kernels. This is because some of the CUDA headers get picked up by default during Eigen compile (irrespective of whether or not the underlying compiler is CUDACC/NVCC, for e.g. Eigen/src/Core/arch/CUDA/Half.h). In order to maintain this behavior, the EIGEN_USE_HIP macro is used to switch to using the HIP version of those header files (see Eigen/Core and unsupported/Eigen/CXX11/Tensor)


Use the "-DEIGEN_TEST_HIP" cmake option to enable the HIP specific unit tests.
 2018-06-06 10:12:58 -04:00
Gael Guennebaud
647b724a36 Define pcast<> for SSE types even when AVX is enabled. (otherwise float are silently reinterpreted as int instead of being converted) 2018-05-29 20:46:46 +02:00
Gael Guennebaud
40b4bf3d32 AVX512: _mm512_rsqrt28_ps is available for AVX512ER only 2018-04-03 14:36:27 +02:00
luz.paz
e3912f5e63 MIsc. source and comment typos 
Found using `codespell` and `grep` from downstream FreeCAD
 2018-03-11 10:01:44 -04:00
nluehr
f9bdcea022 For cuda 9.1 replace math_functions.hpp with cuda_runtime.h 2017-12-18 16:51:15 -08:00
Benoit Steiner
a4089991eb Added support for CUDA 9.0. 2017-08-31 02:49:39 +00:00
Gael Guennebaud
21633e585b bug #1462: remove all occurences of the deprecated __CUDACC_VER__ macro by introducing EIGEN_CUDACC_VER 2017-08-24 11:06:47 +02:00
Gael Guennebaud
b0f55ef85a merge 2017-02-21 17:04:10 +01:00
Gael Guennebaud
3d200257d7 Add support for automatic-size deduction in reshaped, e.g.: 
mat.reshaped(4,AutoSize); <-> mat.reshaped(4,mat.size()/4);
 2017-02-21 15:57:25 +01:00
Gael Guennebaud
e7ebe52bfb bug #1391: include IO.h before DenseBase to enable its usage in DenseBase plugins. 2017-02-13 09:46:20 +01:00
Gael Guennebaud
24409f3acd Use fix<> API to specify compile-time reshaped sizes. 2017-01-29 15:20:35 +01:00
Gael Guennebaud
9036cda364 Cleanup intitial reshape implementation: 
- reshape -> reshaped
 - make it compatible with evaluators.
 2017-01-29 14:57:45 +01:00
Gael Guennebaud
0e89baa5d8 import yoco xiao's work on reshape 2017-01-29 14:29:31 +01:00
Gael Guennebaud
25a1703579 Merged in ggael/eigen-flexidexing (pull request PR-294) 
generalized operator() for indexed access and slicing
 2017-01-26 08:04:23 +00:00
Gael Guennebaud
b0db4eff36 bug #1382: move using std::size_t/ptrdiff_t to Eigen's namespace (still better than the global namespace!) 2017-01-23 22:03:57 +01:00
Gael Guennebaud
7691723e34 Add support for fixed-value in symbolic expression, c++11 only for now. 2017-01-19 19:25:29 +01:00
Benoit Steiner
924600a0e8 Made sure that enabling avx2 instructions enables avx and sse instructions as well. 2017-01-19 09:54:48 -08:00
Gael Guennebaud
4989922be2 Add support for symbolic expressions as arguments of operator() 2017-01-16 22:21:23 +01:00
Gael Guennebaud
752bd92ba5 Large code refactoring: 
- generalize some utilities and move them to Meta (size(), array_size())
 - move handling of all and single indices to IndexedViewHelper.h
 - several cleanup changes
 2017-01-11 17:24:02 +01:00
Gael Guennebaud
b1dc0fa813 Move fix and symbolic to their own file, and improve doxygen compatibility 2017-01-11 14:28:28 +01:00
Gael Guennebaud
ac7e4ac9c0 Initial commit to add a generic indexed-based view of matrices. 
This version already works as a read-only expression.
Numerous refactoring, renaming, extension, tuning passes are expected...
 2017-01-06 00:01:44 +01:00
Gael Guennebaud
3182bdbae6 Disable vectorization when compiled by nvcc, even is EIGEN_NO_CUDA is defined 2017-07-17 11:01:28 +02:00
Gael Guennebaud
bbd97b4095 Add a EIGEN_NO_CUDA option, and introduce EIGEN_CUDACC and EIGEN_CUDA_ARCH aliases 2017-07-17 01:02:51 +02:00
Gael Guennebaud
b240080e64 bug #1436: fix compilation of Jacobi rotations with ARM NEON, some specializations of internal::conj_helper were missing. 2017-06-15 10:16:30 +02:00
Benoit Steiner
fb1d0138ec Include SSE packet instructions when compiling with avx512 enabled. 2016-12-19 07:32:48 -08:00
Benoit Steiner
81151bd474 Fixed merge conflicts 2016-11-19 19:12:59 -08:00
Benoit Steiner
7c30078b9f Merged eigen/eigen into default 2016-11-17 22:53:37 -08:00
Luke Iwanski
c5130dedbe Specialised basic math functions for SYCL device. 2016-11-17 11:47:13 +00:00
Benoit Steiner
f2e8b73256 Enable the use of AVX512 instruction by default 2016-11-16 21:28:04 -08:00
Benoit Steiner
d46a36cc84 Merged eigen/eigen into default 2016-11-04 18:22:55 -07:00
Mehdi Goli
0ebe3808ca Removed the sycl include from Eigen/Core and moved it to Unsupported/Eigen/CXX11/Tensor; added TensorReduction for sycl (full reduction and partial reduction); added TensorReduction test case for sycl (full reduction and partial reduction); fixed the tile size on TensorSyclRun.h based on the device max work group size; 2016-11-04 18:18:19 +00:00
Benoit Steiner
5c3995769c Improved AVX512 configuration 2016-11-03 04:50:28 -07:00
Benoit Steiner
ca0ba0d9a4 Improved AVX512 support 2016-11-03 04:00:49 -07:00
Benoit Steiner
c80587c92b Merged eigen/eigen into default 2016-11-03 03:55:11 -07:00
Benoit Steiner
0585b2965d Disable vectorization on device only when compiling for sycl 2016-11-02 11:44:27 -07:00
Benoit Steiner
cf20b30d65 Merge latest updates from trunk 2016-10-20 09:42:05 -07:00
Benoit Steiner
d3943cd50c Fixed a few typos in the ternary tensor expressions types 2016-10-19 12:56:12 -07:00
Mehdi Goli
8fb162fc85 Fixing the typo regarding missing #if needed for proper handling of exceptions in Eigen/Core. 2016-10-16 12:52:34 +01:00
Mehdi Goli
15380f9a87 Applyiing Benoit's comment to return the missing line back in Eigen/Core 2016-10-14 16:39:41 +01:00
Mehdi Goli
524fa4c46f Reducing the code by generalising sycl backend functions/structs. 2016-10-14 12:09:55 +01:00
Benoit Steiner
9f3276981c Enabling AVX512 should also enable AVX2. 2016-10-06 10:29:48 -07:00
Benoit Steiner
78b569f685 Merged latest updates from trunk 2016-10-05 18:48:55 -07:00
Benoit Steiner
ae1385c7e4 Pull the latest updates from trunk 2016-10-05 14:54:36 -07:00
Benoit Steiner
409e887d78 Added support for constand std::complex numbers on GPU 2016-10-03 11:06:24 -07:00
RJ Ryan
b2c6dc48d9 Add CUDA-specific std::complex<T> specializations for scalar_sum_op, scalar_difference_op, scalar_product_op, and scalar_quotient_op. 2016-09-20 07:18:20 -07:00
Luke Iwanski
b91e021172 Merged with default. 2016-09-19 14:03:54 +01:00
Luke Iwanski
cb81975714 Partial OpenCL support via SYCL compatible with ComputeCpp CE. 2016-09-19 12:44:13 +01:00
Gael Guennebaud
a4c266f827 Factorize the 4 copies of tanh implementations, make numext::tanh consistent with array::tanh, enable fast tanh in fast-math mode only. 2016-08-23 14:23:08 +02:00
Gael Guennebaud
2f7e2614e7 bug #1232: refactor special functions as a new SpecialFunctions module, currently in unsupported/. 2016-07-08 11:13:55 +02:00
Eugene Brevdo
39baff850c Add TernaryFunctors and the betainc SpecialFunction. 
TernaryFunctors and their executors allow operations on 3-tuples of inputs.
API fully implemented for Arrays and Tensors based on binary functors.

Ported the cephes betainc function (regularized incomplete beta
integral) to Eigen, with support for CPU and GPU, floats, doubles, and
half types.

Added unit tests in array.cpp and cxx11_tensor_cuda.cu


Collapsed revision
* Merged helper methods for betainc across floats and doubles.
* Added TensorGlobalFunctions with betainc().  Removed betainc() from TensorBase.
* Clean up CwiseTernaryOp checks, change igamma_helper to cephes_helper.
* betainc: merge incbcf and incbd into incbeta_cfe.  and more cleanup.
* Update TernaryOp and SpecialFunctions (betainc) based on review comments.
 2016-06-02 17:04:19 -07:00
Gael Guennebaud
8d97ba6b22 bug #725: make move ctor/assignment noexcept. 2016-06-03 14:28:25 +02:00
Benoit Steiner
3d0741f027 Include mmintrin.h to make it possible to use mmx instructions when needed. For example, this will enable the definition of a half packet for the Packet4f type. 2016-05-23 20:43:48 -07:00
Benoit Steiner
7d980d74e5 Started to vectorize the processing of 16bit floats on CPU. 2016-05-23 15:21:40 -07:00
Benoit Steiner
07a247dcf4 Pulled latest updates from upstream 2016-04-29 13:41:26 -07:00
Benoit Steiner
80200a1828 Don't attempt to leverage the _cvtss_sh and _cvtsh_ss instructions when compiling with clang since it's unclear which versions of clang actually support these instruction. 2016-04-20 12:10:27 -07:00
Benoit Steiner
1d0238375d Made sure all the required header files are included when trying to use fp16 2016-04-19 17:44:12 -07:00
Rasmus Larsen
6498dadc2f Merged eigen/eigen into default 2016-04-11 17:42:05 -07:00
Benoit Steiner
d6e596174d Pull latest updates from upstream 2016-04-11 17:20:17 -07:00
Gael Guennebaud
fec4c334ba Remove all references to MKL in BLAS wrappers. 2016-04-11 16:04:09 +02:00
Rasmus Larsen
c34e55c62b Merged eigen/eigen into default 2016-04-07 20:23:03 -07:00
Benoit Steiner
532fdf24cb Added support for hardware conversion between fp16 and full floats whenever 
possible.
 2016-04-06 17:11:31 -07:00
Konstantinos Margaritis
2bba4ee2cf Merged kmargar/eigen/tip into default 2016-04-05 22:22:08 +03:00
Konstantinos Margaritis
988344daf1 enable the other includes as well 2016-04-05 05:59:30 -04:00
Rasmus Larsen
30242b7565 Merged eigen/eigen into default 2016-04-01 17:19:36 -07:00
Rasmus Munk Larsen
1aa89fb855 Add matrix condition estimator module that implements the Higham/Hager algorithm from http://www.maths.manchester.ac.uk/~higham/narep/narep135.pdf used in LPACK. Add rcond() methods to FullPivLU and PartialPivLU. 2016-04-01 10:27:59 -07:00
Benoit Steiner
4f1a7e51c1 Pull math functions from the global namespace only when compiling cuda code with nvcc. When compiling with clang, we want to use the std namespace. 2016-03-30 17:59:49 -07:00
Konstantinos Margaritis
ed6b9d08f1 some primitives ported, but missing intrinsics and crash with asm() are a problem 2016-03-27 18:47:49 -04:00
Benoit Steiner
048c4d6efd Made half floats usable on hardware that doesn't support them natively. 2016-03-11 17:21:42 -08:00
Benoit Steiner
ac5d706a94 Added support for simple coefficient wise tensor expression using half floats on CUDA devices 2016-02-19 08:19:12 +00:00
Benoit Steiner
0606a0a39b FP16 on CUDA are only available starting with cuda 7.5. Disable them when using an older version of CUDA 2016-02-18 23:15:23 -08:00
Benoit Steiner
7151bd8768 Reverted unintended changes introduced by a bad merge 2016-02-19 06:20:50 +00:00
Benoit Steiner
17b9fbed34 Added preliminary support for half floats on CUDA GPU. For now we can simply convert floats into half floats and vice versa 2016-02-19 06:16:07 +00:00
Benoit Steiner
6c9cf117c1 Fixed indentation 2016-02-04 10:34:10 -08:00
Benoit Steiner
9a415fb1e2 Preliminary support for AVX512 2015-12-10 15:34:57 -08:00
Eugene Brevdo
fa4f933c0f Add special functions to Eigen: lgamma, erf, erfc. 
Includes CUDA support and unit tests.
 2015-12-07 15:24:49 -08:00
Gael Guennebaud
0bb12fa614 Add LU::transpose().solve() and LU::adjoint().solve() API. 2015-12-01 14:38:47 +01:00
Gael Guennebaud
d866279364 Clean a bit the implementation of inverse permutations 2015-10-08 18:36:39 +02:00
Doug Kwan
5c9ee73eb9 Implement plog and pexp for AltiVec. 2015-07-30 11:12:42 -07:00
Gael Guennebaud
b5ad3d2cf7 Remove deprecated Flagged expression. 2015-09-02 14:53:50 +02:00