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440 Commits

Author SHA1 Message Date
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