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* Removing executable bit from file modeGravatar Christoph Hertzberg2020-01-11
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* Bug #1790: Make `areApprox` check `numext::isnan` instead of bitwise ↵Gravatar Christoph Hertzberg2020-01-11
| | | | equality (NaNs don't have to be bitwise equal).
* 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)
* call Explicitly ::rint and ::rintf for targets without c++11. Without this, ↵Gravatar Rasmus Munk Larsen2020-01-10
| | | | the Windows build breaks when trying to compile numext::rint<double>.
* Improvements to the tidiness and completeness of the NEON implementationGravatar Joel Holdsworth2020-01-10
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* Fix for gcc build error when using Eigen headers with AVX512Gravatar Anuj Rawat2020-01-10
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* Adding RInt vector support for SYCL.Gravatar mehdi-goli2020-01-10
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* Properly initialize b vector in SplineFittingGravatar Matthew Powelson2020-01-09
| | | InterpolateWithDerivative does not initialize the be vector correctly. This issue is discussed In stackoverflow question 48382939.
* Don't add EIGEN_DEVICE_FUNC to random() since ::rand is not available in Cuda.Gravatar Rasmus Munk Larsen2020-01-09
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* Add missing EIGEN_DEVICE_FUNC annotations in MathFunctions.h.Gravatar Rasmus Munk Larsen2020-01-09
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* Use data.data() instead of &data (since it is not obvious that Array is ↵Gravatar Christoph Hertzberg2020-01-09
| | | | trivially copyable)
* Don't use the rational approximation to the logistic function on GPUs as it ↵Gravatar Rasmus Munk Larsen2020-01-09
| | | | appears to be slightly slower.
* The upper limits for where to use the rational approximation to the logistic ↵Gravatar Rasmus Munk Larsen2020-01-08
| | | | function were not set carefully enough in the original commit, and some arguments would cause the function to return values greater than 1. This change set the versions found by scanning all floating point numbers (using std::nextafterf()).
* Fix formattingGravatar Christoph Hertzberg2020-01-08
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* Bug #1785: Introduce numext::rint.Gravatar Ilya Tokar2020-01-07
| | | | | | This provides a new op that matches std::rint and previous behavior of pround. Also adds corresponding unsupported/../Tensor op. Performance is the same as e. g. floor (tested SSE/AVX).
* [SYCL Backend]Gravatar mehdi-goli2020-01-07
| | | | | | | * Adding Missing operations for vector comparison in SYCL. This caused compiler error for vector comparison when compiling SYCL * Fixing the compiler error for placement new in TensorForcedEval.h This caused compiler error when compiling SYCL backend * Reducing the SYCL warning by removing the abort function inside the kernel * Adding Strong inline to functions inside SYCL interop.
* Protecting integer_types's long long test with a check to see if we have ↵Gravatar Everton Constantino2020-01-07
| | | | CXX11 support.
* Bug #1800: Guard against misleading indentationGravatar Christoph Hertzberg2020-01-03
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* Fix -Werror -Wfloat-conversion warning.Gravatar Janek Kozicki2019-12-23
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* Fix for HIP breakage - 191220Gravatar Deven Desai2019-12-20
| | | | | | | | | | | | | | | | | | | | | | | | | | | The breakage was introduced by the following commit : https://gitlab.com/libeigen/eigen/commit/ae07801dd8d295657f28b006e1e4999edf835052 After the commit, HIPCC errors out on some tests with the following error ``` Building HIPCC object unsupported/test/CMakeFiles/cxx11_tensor_device_1.dir/cxx11_tensor_device_1_generated_cxx11_tensor_device.cu.o In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_device.cu:17: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:100: /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h:129:12: error: no matching constructor for initialization of 'Eigen::internal::TensorBlockResourceRequirements' return {merge(lhs.shape_type, rhs.shape_type), // shape_type ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h:75:8: note: candidate constructor (the implicit copy constructor) not viable: requires 1 argument, but 3 were provided struct TensorBlockResourceRequirements { ^ /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h:75:8: note: candidate constructor (the implicit move constructor) not viable: requires 1 argument, but 3 were provided /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h:75:8: note: candidate constructor (the implicit copy constructor) not viable: requires 5 arguments, but 3 were provided /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h:75:8: note: candidate constructor (the implicit default constructor) not viable: requires 0 arguments, but 3 were provided ... ... ``` The fix is to explicitly decalre the (implicitly called) constructor as a device func
* Bug #1796: Make matrix squareroot usable for Map and Ref typesGravatar Christoph Hertzberg2019-12-20
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* Reduce code duplication and avoid confusing DoxygenGravatar Christoph Hertzberg2019-12-19
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* Hide recursive meta templates from DoxygenGravatar Christoph Hertzberg2019-12-19
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* Use double-braces initialization (as everywhere else in the test-suite).Gravatar Christoph Hertzberg2019-12-19
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* Fix trivial shadow warningGravatar Christoph Hertzberg2019-12-19
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* Bug #1788: Fix rule-of-three violations inside the stable modules.Gravatar Christoph Hertzberg2019-12-19
| | | | | This fixes deprecated-copy warnings when compiling with GCC>=9 Also protect some additional Base-constructors from getting called by user code code (#1587)
* Fix unit-test which I broke in previous fixGravatar Christoph Hertzberg2019-12-19
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* Fix TensorPadding bug in squeezed reads from inner dimension Gravatar Eugene Zhulenev2019-12-19
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* Return const data pointer from TensorRef evaluator.data()Gravatar Eugene Zhulenev2019-12-18
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* Tensor block evaluation cost modelGravatar Eugene Zhulenev2019-12-18
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* Fix some maybe-unitialized warningsGravatar Christoph Hertzberg2019-12-18
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* Workaround class-memaccess warnings on newer GCC versionsGravatar Christoph Hertzberg2019-12-18
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* fix compilation due to new HIP scalar accessorGravatar Jeff Daily2019-12-17
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* Reduce block evaluation overhead for small tensor expressionsGravatar Eugene Zhulenev2019-12-17
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* Add default definition for EIGEN_PREDICT_*Gravatar Rasmus Munk Larsen2019-12-16
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* Improve accuracy of fast approximate tanh and the logistic functions in ↵Gravatar Rasmus Munk Larsen2019-12-16
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Eigen, such that they preserve relative accuracy to within a few ULPs where their function values tend to zero (around x=0 for tanh, and for large negative x for the logistic function). This change re-instates the fast rational approximation of the logistic function for float32 in Eigen (removed in https://gitlab.com/libeigen/eigen/commit/66f07efeaed39d6a67005343d7e0caf7d9eeacdb), but uses the more accurate approximation 1/(1+exp(-1)) ~= exp(x) below -9. The exponential is only calculated on the vectorized path if at least one element in the SIMD input vector is less than -9. This change also contains a few improvements to speed up the original float specialization of logistic: - Introduce EIGEN_PREDICT_{FALSE,TRUE} for __builtin_predict and use it to predict that the logistic-only path is most likely (~2-3% speedup for the common case). - Carefully set the upper clipping point to the smallest x where the approximation evaluates to exactly 1. This saves the explicit clamping of the output (~7% speedup). The increased accuracy for tanh comes at a cost of 10-20% depending on instruction set. The benchmarks below repeated calls u = v.logistic() (u = v.tanh(), respectively) where u and v are of type Eigen::ArrayXf, have length 8k, and v contains random numbers in [-1,1]. Benchmark numbers for logistic: Before: Benchmark Time(ns) CPU(ns) Iterations ----------------------------------------------------------------- SSE BM_eigen_logistic_float 4467 4468 155835 model_time: 4827 AVX BM_eigen_logistic_float 2347 2347 299135 model_time: 2926 AVX+FMA BM_eigen_logistic_float 1467 1467 476143 model_time: 2926 AVX512 BM_eigen_logistic_float 805 805 858696 model_time: 1463 After: Benchmark Time(ns) CPU(ns) Iterations ----------------------------------------------------------------- SSE BM_eigen_logistic_float 2589 2590 270264 model_time: 4827 AVX BM_eigen_logistic_float 1428 1428 489265 model_time: 2926 AVX+FMA BM_eigen_logistic_float 1059 1059 662255 model_time: 2926 AVX512 BM_eigen_logistic_float 673 673 1000000 model_time: 1463 Benchmark numbers for tanh: Before: Benchmark Time(ns) CPU(ns) Iterations ----------------------------------------------------------------- SSE BM_eigen_tanh_float 2391 2391 292624 model_time: 4242 AVX BM_eigen_tanh_float 1256 1256 554662 model_time: 2633 AVX+FMA BM_eigen_tanh_float 823 823 866267 model_time: 1609 AVX512 BM_eigen_tanh_float 443 443 1578999 model_time: 805 After: Benchmark Time(ns) CPU(ns) Iterations ----------------------------------------------------------------- SSE BM_eigen_tanh_float 2588 2588 273531 model_time: 4242 AVX BM_eigen_tanh_float 1536 1536 452321 model_time: 2633 AVX+FMA BM_eigen_tanh_float 1007 1007 694681 model_time: 1609 AVX512 BM_eigen_tanh_float 471 471 1472178 model_time: 805
* Resolve double-promotion warnings when compiling with clang.Gravatar Christoph Hertzberg2019-12-13
| | | | `sin` was calling `sin(double)` instead of `std::sin(float)`
* Renamed .hgignore to .gitignore (removing hg-specific "syntax" line)Gravatar Christoph Hertzberg2019-12-13
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* Bug 1785: fix pround on x86 to use the same rounding mode as std::round.Gravatar Ilya Tokar2019-12-12
| | | | | | This also adds pset1frombits helper to Packet[24]d. Makes round ~45% slower for SSE: 1.65µs ± 1% before vs 2.45µs ± 2% after, stil an order of magnitude faster than scalar version: 33.8µs ± 2%.
* Clamp tanh approximation outside [-c, c] where c is the smallest value where ↵Gravatar Rasmus Munk Larsen2019-12-12
| | | | the approximation is exactly +/-1. Without FMA, c = 7.90531110763549805, with FMA c = 7.99881172180175781.
* Fix implementation of complex expm1. Add tests that fail with previous ↵Gravatar Srinivas Vasudevan2019-12-12
| | | | implementation, but pass with the current one.
* Initialize non-trivially constructible types when allocating a temp buffer.Gravatar Eugene Zhulenev2019-12-12
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* Squeeze reads from two inner dimensions in TensorPaddingGravatar Eugene Zhulenev2019-12-11
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* Add back accidentally deleted default constructor to ↵Gravatar Eugene Zhulenev2019-12-11
| | | | TensorExecutorTilingContext.
* Added io testGravatar Joel Holdsworth2019-12-11
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* IO: Fixed printing of char and unsigned char matricesGravatar Joel Holdsworth2019-12-11
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* Added Eigen::numext typedefs for uint8_t, int8_t, uint16_t and int16_tGravatar Joel Holdsworth2019-12-11
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* Bug 1786: fix compilation with MSVCGravatar Gael Guennebaud2019-12-11
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* Remove block memory allocation required by removed block evaluation APIGravatar Eugene Zhulenev2019-12-10
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* Remove V2 suffix from TensorBlockGravatar Eugene Zhulenev2019-12-10
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