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* Enable MathJax in Doxygen.inGravatar Martin Vonheim Larsen2020-11-16
| | | | Note that HTTPS must be used against the MathJax CDN when hosted on `eigen.tuxfamily.org` (which uses HTTPS) in order to avoid `Mixed Content`-errors from browsers. Using HTTPS for MathJax also works if the Eigen docs are hosted on plain HTTP.
* Explicit casts of S -> std::complex<T>Gravatar Antonio Sanchez2020-11-14
| | | | | | | | | | | | | | | | When calling `internal::cast<S, std::complex<T>>(x)`, clang often generates an implicit conversion warning due to an implicit cast from type `S` to `T`. This currently affects the following tests: - `basicstuff` - `bfloat16_float` - `cxx11_tensor_casts` The implicit cast leads to widening/narrowing float conversions. Widening warnings only seem to be generated by clang (`-Wdouble-promotion`). To eliminate the warning, we explicitly cast the real-component first from `S` to `T`. We also adjust tests to use `internal::cast` instead of `static_cast` when a complex type may be involved.
* Suppress ignored-attributes warning (same as in vectorization_logic). Remove ↵Gravatar Christoph Hertzberg2020-11-13
| | | | redundant include and using namespace.
* Fix typo in NEON/PacketMath.hGravatar guoqiangqi2020-11-13
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* Disable testing of OpenGL by default.Gravatar Antonio Sanchez2020-11-12
| | | | | | | | | | | | The `OpenGLSupport` module contains mostly deprecated features, and the test is highly GL context-dependent, relies on deprecated GLUT, and requires a display. Until the module is updated to support modern OpenGL and the test to use newer windowing frameworks (e.g. GLFW) it's probably best to disable the test by default. The test can be enabled with `cmake -DEIGEN_TEST_OPENGL=ON`. See #2053 for more details.
* Simplify expression for inner product fallback in Gemv product evaluator.Gravatar Rasmus Munk Larsen2020-11-12
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* Remove redundant branch for handling dynamic vector*vector. This will be ↵Gravatar Rasmus Munk Larsen2020-11-12
| | | | handled by the equivalent branch in the specialization for GemvProduct.
* Optimize matrix*matrix and matrix*vector products when they correspond to ↵Gravatar Rasmus Munk Larsen2020-11-12
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | inner products at runtime. This speeds up inner products where the one or or both arguments is dynamic for small and medium-sized vectors (up to 32k). name old time/op new time/op delta BM_VecVecStatStat<float>/1 1.64ns ± 0% 1.64ns ± 0% ~ BM_VecVecStatStat<float>/8 2.99ns ± 0% 2.99ns ± 0% ~ BM_VecVecStatStat<float>/64 7.00ns ± 1% 7.04ns ± 0% +0.66% BM_VecVecStatStat<float>/512 61.6ns ± 0% 61.6ns ± 0% ~ BM_VecVecStatStat<float>/4k 551ns ± 0% 553ns ± 1% +0.26% BM_VecVecStatStat<float>/32k 4.45µs ± 0% 4.45µs ± 0% ~ BM_VecVecStatStat<float>/256k 77.9µs ± 0% 78.1µs ± 1% ~ BM_VecVecStatStat<float>/1M 312µs ± 0% 312µs ± 1% ~ BM_VecVecDynStat<float>/1 13.3ns ± 1% 4.6ns ± 0% -65.35% BM_VecVecDynStat<float>/8 14.4ns ± 0% 6.2ns ± 0% -57.00% BM_VecVecDynStat<float>/64 24.0ns ± 0% 10.2ns ± 3% -57.57% BM_VecVecDynStat<float>/512 138ns ± 0% 68ns ± 0% -50.52% BM_VecVecDynStat<float>/4k 1.11µs ± 0% 0.56µs ± 0% -49.72% BM_VecVecDynStat<float>/32k 8.89µs ± 0% 4.46µs ± 0% -49.89% BM_VecVecDynStat<float>/256k 78.2µs ± 0% 78.1µs ± 1% ~ BM_VecVecDynStat<float>/1M 313µs ± 0% 312µs ± 1% ~ BM_VecVecDynDyn<float>/1 10.4ns ± 0% 10.5ns ± 0% +0.91% BM_VecVecDynDyn<float>/8 12.0ns ± 3% 11.9ns ± 0% ~ BM_VecVecDynDyn<float>/64 37.4ns ± 0% 19.6ns ± 1% -47.57% BM_VecVecDynDyn<float>/512 159ns ± 0% 81ns ± 0% -49.07% BM_VecVecDynDyn<float>/4k 1.13µs ± 0% 0.58µs ± 1% -49.11% BM_VecVecDynDyn<float>/32k 8.91µs ± 0% 5.06µs ±12% -43.23% BM_VecVecDynDyn<float>/256k 78.2µs ± 0% 78.2µs ± 1% ~ BM_VecVecDynDyn<float>/1M 313µs ± 0% 312µs ± 1% ~
* Add support for dynamic dispatch of MMA instructions for POWER 10Gravatar Pedro Caldeira2020-11-12
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* remove annotation for first declaration of default con/destructionGravatar acxz2020-11-12
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* [SYCL Function pointer Issue]: SYCL does not support function pointer inside ↵Gravatar mehdi-goli2020-11-12
| | | | the kernel, due to the portability issue of a function pointer and memory address space among host and accelerators. To fix the issue, function pointers have been replaced by function objects.
* Address issues with `openglsupport` test.Gravatar Antonio Sanchez2020-11-11
| | | | | | | | | | | | | | | | | | | | | | | The existing test fails on several systems due to GL runtime version mismatches, the use of deprecated features, and memory errors due to improper use of GLUT. The test was modified to: - Run within a display function, allowing proper GLUT cleanup. - Generate dynamic shaders with a supported GLSL version string and output variables. - Report shader compilation errors. - Check GL context version before launching version-specific tests. Note that most of the existing `OpenGLSupport` module and tests rely on deprecated features (e.g. fixed-function pipeline). The test was modified to allow it to pass on various systems. We might want to consider removing the module or re-writing it entirely to support modern OpenGL. This is beyond the scope of this patch. Testing of legacy GL (for platforms that support it) can be enabled by defining `EIGEN_LEGACY_OPENGL`. Otherwise, the test will try to create a modern context. Tested on - MacBook Air (2019), macOS Catalina 10.15.7 (OpenGL 2.1, 4.1) - Debian 10.6, NVidia Quadro K1200 (OpenGL 3.1, 3.3)
* Fix erroneous forward declaration of boost nvp.Gravatar Everton Constantino2020-11-10
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* Fix issue2045 which get a error case _mm256_set_m128d op not supported by ↵Gravatar guoqiangqi2020-11-04
| | | | gcc 7.x
* CMakefile update for ROCm 4.0Gravatar Deven Desai2020-10-29
| | | | Starting with ROCm 4.0, the `hipconfig --platform` command will return `amd` (prior return value was `hcc`). Updating the CMakeLists.txt files in the test dirs to account for this change.
* Fix for ROCm (and CUDA?) breakage - 201029Gravatar Deven Desai2020-10-29
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The following commit breaks Eigen for ROCm (and probably CUDA too) with the following error https://gitlab.com/libeigen/eigen/-/commit/e265f7ed8e59c26e15f2c35162c6b8da1c5d594f ``` Building HIPCC object test/CMakeFiles/gpu_basic.dir/gpu_basic_generated_gpu_basic.cu.o In file included from /home/rocm-user/eigen/test/gpu_basic.cu:20: In file included from /home/rocm-user/eigen/test/main.h:355: In file included from /home/rocm-user/eigen/Eigen/QR:11: In file included from /home/rocm-user/eigen/Eigen/Core:169: /home/rocm-user/eigen/Eigen/src/Core/arch/Default/Half.h:825:76: error: use of undeclared identifier 'numext'; did you mean 'Eigen::numext'? return Eigen::half_impl::raw_uint16_to_half(__ldg(reinterpret_cast<const numext::uint16_t*>(ptr))); ^~~~~~ Eigen::numext /home/rocm-user/eigen/Eigen/src/Core/MathFunctions.h:968:11: note: 'Eigen::numext' declared here namespace numext { ^ 1 error generated when compiling for gfx900. CMake Error at gpu_basic_generated_gpu_basic.cu.o.cmake:192 (message): Error generating file /home/rocm-user/eigen/build/test/CMakeFiles/gpu_basic.dir//./gpu_basic_generated_gpu_basic.cu.o test/CMakeFiles/gpu_basic.dir/build.make:63: recipe for target 'test/CMakeFiles/gpu_basic.dir/gpu_basic_generated_gpu_basic.cu.o' failed make[3]: *** [test/CMakeFiles/gpu_basic.dir/gpu_basic_generated_gpu_basic.cu.o] Error 1 CMakeFiles/Makefile2:16611: recipe for target 'test/CMakeFiles/gpu_basic.dir/all' failed make[2]: *** [test/CMakeFiles/gpu_basic.dir/all] Error 2 CMakeFiles/Makefile2:16618: recipe for target 'test/CMakeFiles/gpu_basic.dir/rule' failed make[1]: *** [test/CMakeFiles/gpu_basic.dir/rule] Error 2 Makefile:5401: recipe for target 'gpu_basic' failed make: *** [gpu_basic] Error 2 ``` The fix is in this commit is trivial. Please review and merge
* Remove unused functions in Half.h.Gravatar David Tellenbach2020-10-29
| | | | | | | | | | | The following functions have been removed: Eigen::half fabsh(const Eigen::half&) Eigen::half exph(const Eigen::half&) Eigen::half sqrth(const Eigen::half&) Eigen::half powh(const Eigen::half&, const Eigen::half&) Eigen::half floorh(const Eigen::half&) Eigen::half ceilh(const Eigen::half&)
* Replace numext::as_uint with numext::bit_cast<numext::uint32_t>Gravatar David Tellenbach2020-10-29
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* Add support for Armv8.2-a __fp16Gravatar David Tellenbach2020-10-28
| | | | | | | | | | | | | | | Armv8.2-a provides a native half-precision floating point (__fp16 aka. float16_t). This patch introduces * __fp16 as underlying type of Eigen::half if this type is available * the packet types Packet4hf and Packet8hf representing float16x4_t and float16x8_t respectively * packet-math for the above packets with corresponding scalar type Eigen::half The packet-math functionality has been implemented by Ashutosh Sharma <ashutosh.sharma@amperecomputing.com>. This closes #1940.
* [SYCL clean up the code] : removing exrta #pragma unroll in SYCL which was ↵Gravatar mehdi-goli2020-10-28
| | | | causing issues in embeded systems
* [Missing SYCL math op]: Addin the missing LDEXP Function for SYCL.Gravatar mehdi-goli2020-10-28
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* [Fixing expf issue]: Eigen uses the packet type operation for scaler type ↵Gravatar mehdi-goli2020-10-28
| | | | float on Sigmoid function(https://gitlab.com/libeigen/eigen/-/blob/master/Eigen/src/Core/functors/UnaryFunctors.h#L990). As a result SYCL backend breaks since SYCL backend only supports packet operation for vectorized type float4 and double2. The issue has been fixed by adding scalar type float to packet operation pexp for SYCL backend.
* Bug #2036 make sure find_standard_math_library_test_program actually ↵Gravatar Christoph Hertzberg2020-10-24
| | | | compiles (and is guaranteed to call math functions)
* Make sure compiler does not optimize away calls to math functionsGravatar Susi Lehtola2020-10-24
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* Improve polynomial evaluation with instruction-level parallelism for ↵Gravatar guoqiangqi2020-10-20
| | | | pexp_float and pexp<Packet16f>
* remove unnecessary specialize template of pexp for scale float/doubleGravatar guoqiangqi2020-10-19
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* Fix missing `pfirst<Packet16b>` for MSVC.Gravatar Antonio Sanchez2020-10-16
| | | | | It was only defined under one `#ifdef` case. This fixes the `packetmath_14` test for MSVC.
* Fix the specialization of pfrexp for AVX to be faster when AVX2/AVX512DQ is ↵Gravatar Rasmus Munk Larsen2020-10-15
| | | | not available, and avoid undefined behavior in C++. Also mask off the sign bit when extracting the exponent.
* Fix for ROCm/HIP breakage - 201013Gravatar Deven Desai2020-10-15
| | | | | | | | | | | | | | | | | | | | | | | | | | | | The following commit seems to have introduced regressions in ROCm/HIP support. https://gitlab.com/libeigen/eigen/-/commit/183a208212353ccf81a664d25dc7660b6269acdd It causes some unit-tests to fail with the following error ``` ... Eigen/src/Core/GenericPacketMath.h:322:3: error: no member named 'bit_and' in the global namespace; did you mean 'std::bit_and'? ... Eigen/src/Core/GenericPacketMath.h:329:3: error: no member named 'bit_or' in the global namespace; did you mean 'std::bit_or'? ... Eigen/src/Core/GenericPacketMath.h:336:3: error: no member named 'bit_xor' in the global namespace; did you mean 'std::bit_xor'? ... ``` The error occurs because, when compiling the device code in HIP/CUDA, the compiler will pick up the some of the std functions (whose calls are prefixed by EIGEN_USING_STD) from the global namespace (i.e. use ::bit_xor instead of std::bit_xor). For this to work, those functions must be declared in the global namespace in the HIP/CUDA header files. The `bit_and`, `bit_or` and `bit_xor` routines are not declared in the HIP header file that contain the decls for the std math functions ( `math_functions.h` ), and this is the cause of the error above. It seems that the newer HIP compilers do support the calling of `std::` math routines within device code, and the ideal fix here would have been to change all calls to std math functions in EIGEN to use the `std::` namespace (instead of the global namespace ), when compiling with HIP compiler. However it seems there was a recent commit to remove the EIGEN_USING_STD_MATH macro and collapse it uses into the EIGEN_USING_STD macro ( https://gitlab.com/libeigen/eigen/-/commit/4091f6b25c5ad0ca3f7c00bd82bfd7ca1bbedee3 ). Replacing all std math calls will essentially require re-surrecting the EIGEN_USING_STD_MATH macro, so not choosing that option. Also HIP compilers only have support std math calls within device code, and not all std functions (specifically not for malloc/free which are prefixed via EIGEN_USING_STD). So modyfing EIGEN_USE_STD implementation to use std:: namspace for HIP will not work either. Hence going for the ugly solution of special casing the three calls that breaking the HIP compile, to explicitly use the std:: namespace
* Revert change from 4e4d3f32d168ed9ce09d950f099a60ddcd11240f that broke ↵Gravatar Rasmus Munk Larsen2020-10-15
| | | | BFloat16.h build with older compilers.
* Add AVX plog<Packet4d> and AVX512 plog<Packet8d> ops,also unified AVX512 ↵Gravatar Guoqiang QI2020-10-15
| | | | plog<Packet16f> op with generic api
* Add specializations for pmin/pmax with prescribed NaN propagation semantics ↵Gravatar Rasmus Munk Larsen2020-10-14
| | | | for SSE/AVX/AVX512.
* Remove leftover debug print statement in cxx11_tensor_expr.cppGravatar Rasmus Munk Larsen2020-10-14
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* Revert generic implementation of `predux`, since it break compilation of ↵Gravatar Rasmus Munk Larsen2020-10-14
| | | | `predux_any` with MSVC.
* Add MatrixBase::cwiseArg()Gravatar David Tellenbach2020-10-14
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* Get rid of nested template specialization in TensorReductionGpu.h, which was ↵Gravatar Rasmus Munk Larsen2020-10-13
| | | | broken by c6953f799b01d36f4236b64f351cc1446e0abe17.
* Add packet generic ops `predux_fmin`, `predux_fmin_nan`, `predux_fmax`, and ↵Gravatar Rasmus Munk Larsen2020-10-13
| | | | `predux_fmax_nan` that implement reductions with `PropagateNaN`, and `PropagateNumbers` semantics. Add (slow) generic implementations for most reductions.
* undefine EIGEN_CONSTEXPR before redefinitionGravatar acxz2020-10-12
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* Make bitwise_helper a device function to unbreak GPU builds.Gravatar Rasmus Munk Larsen2020-10-10
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* Clean up packetmath tests and fix various bugs to make bfloat16 pass ↵Gravatar Rasmus Munk Larsen2020-10-09
| | | | (almost) all packetmath tests with SSE, AVX, and AVX512.
* Disable test exceptions when using OpenMP.Gravatar David Tellenbach2020-10-09
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* Mention problems when using potentially throwing scalars and OpenMPGravatar David Tellenbach2020-10-09
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* Fix typo in Tutorial_BlockOperations_block_assignment.cppGravatar Karl Ljungkvist2020-10-09
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* Drop EIGEN_USING_STD_MATH in favour of EIGEN_USING_STDGravatar David Tellenbach2020-10-09
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* Implement generic bitwise logical packet ops that work for all types.Gravatar Rasmus Munk Larsen2020-10-08
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* Add EIGEN prefix for HAS_LGAMMA_RGravatar David Tellenbach2020-10-08
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* Use lgamma_r if it is available (update check for glibc 2.19+)Gravatar Eugene Zhulenev2020-10-08
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* Don't make assumptions about NaN-propagation for pmin/pmax - it various ↵Gravatar Rasmus Munk Larsen2020-10-07
| | | | | | across platforms. Change test to only test for NaN-propagation for pfmin/pfmax.
* Use reinterpret_cast instead of C-style cast in Inverse_NEON.hGravatar David Tellenbach2020-10-04
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* Don't cast away const in Inverse_NEON.h.Gravatar Rasmus Munk Larsen2020-10-02
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