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* Support manually disabling exceptionsHEADmasterGravatar Benjamin Barenblat2021-07-07
| | | | | Rename EIGEN_EXCEPTIONS to EIGEN_USE_EXCEPTIONS, and allow disabling exceptions with -DEIGEN_USE_EXCEPTIONS=0.
* Don't crash when attempting to shuffle an empty tensor.Gravatar Jonas Harsch2021-07-02
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* Removed dead code from GPU float16 unit test.Gravatar Rohit Santhanam2021-05-28
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* Modify googlehash use to account for namespace issues.Gravatar Antonio Sanchez2021-04-12
| | | | | | | | | | | | | | | The namespace declaration for googlehash is a configurable macro that can be disabled. In particular, it is disabled within google, causing compile errors since `dense_hash_map`/`sparse_hash_map` are then in the global namespace instead of in `::google`. Here we play a bit of gynastics to allow for both `google::*_hash_map` and `*_hash_map`, while limiting namespace polution. Symbols within the `::google` namespace are imported into `Eigen::google`. We also remove checks based on `_SPARSE_HASH_MAP_H_`, as this is fragile, and instead require `EIGEN_GOOGLEHASH_SUPPORT` to be defined.
* Fix for float16 GPU unit test.Gravatar Rohit Santhanam2021-04-12
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* Fixed output of complex matricesGravatar Jens Wehner2021-03-15
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* Re-implement move assignments.Gravatar Antonio Sanchez2021-03-10
| | | | | | | | | | | | | | | The original swap approach leads to potential undefined behavior (reading uninitialized memory) and results in unnecessary copying of data for static storage. Here we pass down the move assignment to the underlying storage. Static storage does a one-way copy, dynamic storage does a swap. Modified the tests to no longer read from the moved-from matrix/tensor, since that can lead to UB. Added a test to ensure we do not access uninitialized memory in a move. Fixes: #2119
* Define EIGEN_CPLUSPLUS and replace most __cplusplus checks.Gravatar Antonio Sanchez2021-03-05
| | | | | | | | | | | | | | | The macro `__cplusplus` is not defined correctly in MSVC unless building with the the `/Zc:__cplusplus` flag. Instead, it defines `_MSVC_LANG` to the specified c++ standard version number. Here we introduce `EIGEN_CPLUSPLUS` which will contain the c++ version number both for MSVC and otherwise. This simplifies checks for supported features. Also replaced most instances of standard version checking via `__cplusplus` with the existing `EIGEN_COMP_CXXVER` macro for better clarity. Fixes: #2170
* Idrs iterative linear solverGravatar Jens Wehner2021-02-27
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* Don't crash when attempting to slice an empty tensor.Gravatar Rasmus Munk Larsen2021-02-24
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* Eliminate CMake FindPackageHandleStandardArgs warnings.Gravatar Antonio Sanchez2021-02-24
| | | | | | | | | | | | | | | | | CMake complains that the package name does not match when the case differs, e.g.: ``` CMake Warning (dev) at /usr/share/cmake-3.18/Modules/FindPackageHandleStandardArgs.cmake:273 (message): The package name passed to `find_package_handle_standard_args` (UMFPACK) does not match the name of the calling package (Umfpack). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/FindUmfpack.cmake:50 (find_package_handle_standard_args) bench/spbench/CMakeLists.txt:24 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. ``` Here we rename the libraries to match their true cases.
* Add missing adolc isinf/isnan.Gravatar Antonio Sanchez2021-02-19
| | | | | | | Also modified cmake/FindAdolc.cmake to eliminate warnings, and added search paths to match install layout. Fixed: #2157
* Return nan at poles of polygamma, digamma, and zeta if limit is not definedGravatar frgossen2021-02-19
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* fix test of ExtractVolumePatchesOpGravatar Gmc22021-01-25
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* Remove code checking for CMake < 3.5Gravatar Alexander Grund2020-12-14
| | | | As the CMake version is at least 3.5 the code checking for earlier versions can be removed.
* Special function implementations for half/bfloat16 packets.Gravatar Antonio Sanchez2020-12-04
| | | | | | | | | | | | | Current implementations fail to consider half-float packets, only half-float scalars. Added specializations for packets on AVX, AVX512 and NEON. Added tests to `special_packetmath`. The current `special_functions` tests would fail for half and bfloat16 due to lack of precision. The NEON tests also fail with precision issues and due to different handling of `sqrt(inf)`, so special functions bessel, ndtri have been disabled. Tested with AVX, AVX512.
* Clean up the Tensor header and get rid of the EIGEN_SLEEP macro.Gravatar Rasmus Munk Larsen2020-12-02
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* Fix boolean float conversion and product warnings.Gravatar Antonio Sanchez2020-11-24
| | | | | | | | | | | | | | | | | | | | | This fixes some gcc warnings such as: ``` Eigen/src/Core/GenericPacketMath.h:655:63: warning: implicit conversion turns floating-point number into bool: 'typename __gnu_cxx::__enable_if<__is_integer<bool>::__value, double>::__type' (aka 'double') to 'bool' [-Wimplicit-conversion-floating-point-to-bool] Packet psqrt(const Packet& a) { EIGEN_USING_STD(sqrt); return sqrt(a); } ``` Details: - Added `scalar_sqrt_op<bool>` (`-Wimplicit-conversion-floating-point-to-bool`). - Added `scalar_square_op<bool>` and `scalar_cube_op<bool>` specializations (`-Wint-in-bool-context`) - Deprecated above specialized ops for bool. - Modified `cxx11_tensor_block_eval` to specialize generator for booleans (`-Wint-in-bool-context`) and to use `abs` instead of `square` to avoid deprecated bool ops.
* Fix sparse_extra_3, disable counting temporaries for testing ↵Gravatar Antonio Sanchez2020-11-18
| | | | | | | | | | | | | | | | | | | | | | | DynamicSparseMatrix. Multiplication of column-major `DynamicSparseMatrix`es involves three temporaries: - two for transposing twice to sort the coefficients (`ConservativeSparseSparseProduct.h`, L160-161) - one for a final copy assignment (`SparseAssign.h`, L108) The latter is avoided in an optimization for `SparseMatrix`. Since `DynamicSparseMatrix` is deprecated in favor of `SparseMatrix`, it's not worth the effort to optimize further, so I simply disabled counting temporaries via a macro. Note that due to the inclusion of `sparse_product.cpp`, the `sparse_extra` tests actually re-run all the original `sparse_product` tests as well. We may want to simply drop the `DynamicSparseMatrix` tests altogether, which would eliminate the test duplication. Related to #2048
* Add bit_cast for half/bfloat to/from uint16_t, fix TensorRandomGravatar Antonio Sanchez2020-11-18
| | | | | | | | | | The existing `TensorRandom.h` implementation makes the assumption that `half` (`bfloat16`) has a `uint16_t` member `x` (`value`), which is not always true. This currently fails on arm64, where `x` has type `__fp16`. Added `bit_cast` specializations to allow casting to/from `uint16_t` for both `half` and `bfloat16`. Also added tests in `half_float`, `bfloat16_float`, and `cxx11_tensor_random` to catch these errors in the future.
* 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.
* 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)
* 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.
* Remove leftover debug print statement in cxx11_tensor_expr.cppGravatar Rasmus Munk Larsen2020-10-14
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* 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.
* 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.
* Disable min/max NaN propagation in test cxx11_tensor_exprGravatar David Tellenbach2020-08-14
| | | | | | | The current pmin/pmax implementation for Arm Neon propagate NaNs differently than std::min/std::max. See issue https://gitlab.com/libeigen/eigen/-/issues/1937
* Update tensor reduction test to avoid undefined division of bfloat16 by int.Gravatar Rasmus Munk Larsen2020-07-22
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* Fix tensor casts for large packets and casts to/from std::complexGravatar Antonio Sanchez2020-06-30
| | | | | | | | | | | | | The original tensor casts were only defined for `SrcCoeffRatio`:`TgtCoeffRatio` 1:1, 1:2, 2:1, 4:1. Here we add the missing 1:N and 8:1. We also add casting `Eigen::half` to/from `std::complex<T>`, which was missing to make it consistent with `Eigen:bfloat16`, and generalize the overload to work for any complex type. Tests were added to `basicstuff`, `packetmath`, and `cxx11_tensor_casts` to test all cast configurations.
* Support BFloat16 in EigenGravatar Teng Lu2020-06-20
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* Remove HasCast and fix packetmath cast tests.Gravatar Antonio Sanchez2020-06-11
| | | | | | | | | | | The use of the `packet_traits<>::HasCast` field is currently inconsistent with `type_casting_traits<>`, and is unused apart from within `test/packetmath.cpp`. In addition, those packetmath cast tests do not currently reflect how casts are performed in practice: they ignore the `SrcCoeffRatio` and `TgtCoeffRatio` fields, assuming a 1:1 ratio. Here we remove the unsed `HasCast`, and modify the packet cast tests to better reflect their usage.
* Update FindComputeCpp.cmake to fix build problems on WindowsGravatar Thales Sabino2020-06-05
| | | | | - Use standard types in SYCL/PacketMath.h to avoid compilation problems on Windows - Add EIGEN_HAS_CONSTEXPR to cxx11_tensor_argmax_sycl.cpp to fix build problems on Windows
* Disable test for 32-bit systems (e.g. ARM, i386)Gravatar Antonio Sánchez2020-05-28
| | | | | | | Both i386 and 32-bit ARM do not define __uint128_t. On most systems, if __uint128_t is defined, then so is the macro __SIZEOF_INT128__. https://stackoverflow.com/questions/18531782/how-to-know-if-uint128-t-is-defined1
* Extend support for Packet16b:Gravatar Rasmus Munk Larsen2020-04-28
| | | | | | | | | | | | | | | | | * Add ptranspose<*,4> to support matmul and add unit test for Matrix<bool> * Matrix<bool> * work around a bug in slicing of Tensor<bool>. * Add tensor tests This speeds up matmul for boolean matrices by about 10x name old time/op new time/op delta BM_MatMul<bool>/8 267ns ± 0% 479ns ± 0% +79.25% (p=0.008 n=5+5) BM_MatMul<bool>/32 6.42µs ± 0% 0.87µs ± 0% -86.50% (p=0.008 n=5+5) BM_MatMul<bool>/64 43.3µs ± 0% 5.9µs ± 0% -86.42% (p=0.008 n=5+5) BM_MatMul<bool>/128 315µs ± 0% 44µs ± 0% -85.98% (p=0.008 n=5+5) BM_MatMul<bool>/256 2.41ms ± 0% 0.34ms ± 0% -85.68% (p=0.008 n=5+5) BM_MatMul<bool>/512 18.8ms ± 0% 2.7ms ± 0% -85.53% (p=0.008 n=5+5) BM_MatMul<bool>/1k 149ms ± 0% 22ms ± 0% -85.40% (p=0.008 n=5+5)
* Add partial vectorization for matrices and tensors of bool. This speeds up ↵Gravatar Rasmus Munk Larsen2020-04-20
| | | | | | | | | | | | | | | | | | | | | | | | | boolean operations on Tensors by up to 25x. Benchmark numbers for the logical and of two NxN tensors: name old time/op new time/op delta BM_booleanAnd_1T/3 [using 1 threads] 14.6ns ± 0% 14.4ns ± 0% -0.96% BM_booleanAnd_1T/4 [using 1 threads] 20.5ns ±12% 9.0ns ± 0% -56.07% BM_booleanAnd_1T/7 [using 1 threads] 41.7ns ± 0% 10.5ns ± 0% -74.87% BM_booleanAnd_1T/8 [using 1 threads] 52.1ns ± 0% 10.1ns ± 0% -80.59% BM_booleanAnd_1T/10 [using 1 threads] 76.3ns ± 0% 13.8ns ± 0% -81.87% BM_booleanAnd_1T/15 [using 1 threads] 167ns ± 0% 16ns ± 0% -90.45% BM_booleanAnd_1T/16 [using 1 threads] 188ns ± 0% 16ns ± 0% -91.57% BM_booleanAnd_1T/31 [using 1 threads] 667ns ± 0% 34ns ± 0% -94.83% BM_booleanAnd_1T/32 [using 1 threads] 710ns ± 0% 35ns ± 0% -95.01% BM_booleanAnd_1T/64 [using 1 threads] 2.80µs ± 0% 0.11µs ± 0% -95.93% BM_booleanAnd_1T/128 [using 1 threads] 11.2µs ± 0% 0.4µs ± 0% -96.11% BM_booleanAnd_1T/256 [using 1 threads] 44.6µs ± 0% 2.5µs ± 0% -94.31% BM_booleanAnd_1T/512 [using 1 threads] 178µs ± 0% 10µs ± 0% -94.35% BM_booleanAnd_1T/1k [using 1 threads] 717µs ± 0% 78µs ± 1% -89.07% BM_booleanAnd_1T/2k [using 1 threads] 2.87ms ± 0% 0.31ms ± 1% -89.08% BM_booleanAnd_1T/4k [using 1 threads] 11.7ms ± 0% 1.9ms ± 4% -83.55% BM_booleanAnd_1T/10k [using 1 threads] 70.3ms ± 0% 17.2ms ± 4% -75.48%
* Make file formatting comply with POSIX and Unix standardsGravatar Aaron Franke2020-03-23
| | | | UTF-8, LF, no BOM, and newlines at the end of files
* Ensure Igamma does not NaN or Inf for large values.Gravatar Srinivas Vasudevan2020-01-14
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* Added special_packetmath test and tweaked bounds on tests.Gravatar Srinivas Vasudevan2020-01-11
| | | | | Refactor shared packetmath code to header file. (Squashed from PR !38)
* Bug #1796: Make matrix squareroot usable for Map and Ref typesGravatar Christoph Hertzberg2019-12-20
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* Use double-braces initialization (as everywhere else in the test-suite).Gravatar Christoph Hertzberg2019-12-19
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* Tensor block evaluation cost modelGravatar Eugene Zhulenev2019-12-18
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* Remove V2 suffix from TensorBlockGravatar Eugene Zhulenev2019-12-10
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* Remove TensorBlock.h and old TensorBlock/BlockMapperGravatar Eugene Zhulenev2019-12-10
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* fix AlignedVector3 inconsisent interface with other Vector classes, default ↵Gravatar Janek Kozicki2019-12-06
| | | | constructor and operator- were missing.
* Add missing initialization in cxx11_tensor_trace.cpp.Gravatar Rasmus Munk Larsen2019-12-04
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* [SYCL] Rebasing the SYCL support branch on top of the Einge upstream master ↵Gravatar Mehdi Goli2019-11-28
| | | | | | | | | | | | | | | | | | | | | | branch. * Unifying all loadLocalTile from lhs and rhs to an extract_block function. * Adding get_tensor operation which was missing in TensorContractionMapper. * Adding the -D method missing from cmake for Disable_Skinny Contraction operation. * Wrapping all the indices in TensorScanSycl into Scan parameter struct. * Fixing typo in Device SYCL * Unifying load to private register for tall/skinny no shared * Unifying load to vector tile for tensor-vector/vector-tensor operation * Removing all the LHS/RHS class for extracting data from global * Removing Outputfunction from TensorContractionSkinnyNoshared. * Combining the local memory version of tall/skinny and normal tensor contraction into one kernel. * Combining the no-local memory version of tall/skinny and normal tensor contraction into one kernel. * Combining General Tensor-Vector and VectorTensor contraction into one kernel. * Making double buffering optional for Tensor contraction when local memory is version is used. * Modifying benchmark to accept custom Reduction Sizes * Disabling AVX optimization for SYCL backend on the host to allow SSE optimization to the host * Adding Test for SYCL * Modifying SYCL CMake
* STYLE: Remove CMake-language block-end command argumentsGravatar Hans Johnson2019-10-31
| | | | | | Ancient versions of CMake required else(), endif(), and similar block termination commands to have arguments matching the command starting the block. This is no longer the preferred style.
* bug #1281: fix AutoDiffScalar's make_coherent for nested expression of ↵Gravatar Gael Guennebaud2019-11-14
| | | | constant ADs.
* Remove legacy block evaluation supportGravatar Eugene Zhulenev2019-11-12
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* Fix data race in css11_tensor_notification test.Gravatar Rasmus Munk Larsen2019-11-08
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