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path: root/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
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* Fix compile issues for gcc 4.8.Gravatar Antonio Sanchez2021-07-01
| | | | | | - Move constructors can only be defaulted as NOEXCEPT if all members have NOEXCEPT move constructors. - gcc 4.8 has some funny parsing bug in `a < b->c`, thinking `b-` is a template parameter.
* Modify tensor argmin/argmax to always return first occurence.Gravatar Antonio Sanchez2021-06-29
| | | | | | | | | As written, depending on multithreading/gpu, the returned index from `argmin`/`argmax` is not currently stable. Here we modify the functors to always keep the first occurence (i.e. if the value is equal to the current min/max, then keep the one with the smallest index). This is otherwise causing unpredictable results in some TF tests.
* 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.
* [SYCL] This PR adds the minimum modifications to the Eigen unsupported ↵Gravatar Mehdi Goli2019-06-28
| | | | | | | | | | module required to run it on devices supporting SYCL. * Abstracting the pointer type so that both SYCL memory and pointer can be captured. * Converting SYCL virtual pointer to SYCL device memory in Eigen evaluator class. * Binding SYCL placeholder accessor to command group handler by using bind method in Eigen evaluator node. * Adding SYCL macro for controlling loop unrolling. * Modifying the TensorDeviceSycl.h and SYCL executor method to adopt the above changes.
* Don't vectorize the MeanReducer unless pdiv is available.Gravatar Rasmus Munk Larsen2018-09-11
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* Use numerically stable tree reduction in TensorReduction.Gravatar Rasmus Munk Larsen2018-09-11
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* Move sigmoid functor to core.Gravatar Rasmus Munk Larsen2018-08-03
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* Converting ad-hoc inline keyword to EIGEN_STRONG_INLINE MACRO.Gravatar Mehdi Goli2018-08-01
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* PR430: Convert count to the reducer type in MeanReducerGravatar Eugene Zhulenev2018-07-19
| | | | | | | | | | | | | Without explicit conversion Tensorflow fails to compile, pset1 template deduction fails. cannot convert '((const Eigen::internal::MeanReducer<Eigen::half>*)this) ->Eigen::internal::MeanReducer<Eigen::half>::packetCount_' (type 'const DenseIndex {aka const long int}') to type 'const type& {aka const Eigen::half&}' return pdiv(vaccum, pset1<Packet>(packetCount_)); Honestly I’m not sure why it works in Eigen tests, because Eigen::half constructor is explicit, and why it stopped working in TF, I didn’t find any relevant changes since previous Eigen upgrade. static_cast<T>(packetCount_) - breaks cxx11_tensor_reductions test for Eigen::half, also quite surprising.
* bug #1569: fix Tensor<half>::mean() on AVX with respective unit test.Gravatar Gael Guennebaud2018-07-19
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* Rename clip2 to clamp.Gravatar Rasmus Munk Larsen2018-05-16
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* Rename scalar_clip_op to scalar_clip2_op to prevent collision with existing ↵Gravatar Rasmus Munk Larsen2018-05-16
| | | | functor in TensorFlow.
* Add vectorized clip functor for Eigen Tensors.Gravatar Rasmus Munk Larsen2018-05-14
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* Use scalar_sum_op and scalar_quotient_op instead of operator+ and operator/ ↵Gravatar RJ Ryan2017-04-14
| | | | | | | | | | in MeanReducer. Improves support for std::complex types when compiling for CUDA. Expands on e2e9cdd16970914cf0a892fea5e7c4402b3ede41 and 2bda1b0d93fb627d0c500ec48b20302d44c32cb7 .
* Deleted unnecessary semicolonsGravatar Benoit Steiner2016-11-18
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* Fully support complex types in SumReducer and MeanReducer when building for ↵Gravatar RJ Ryan2016-10-06
| | | | CUDA by using scalar_sum_op and scalar_product_op instead of operator+ and operator*.
* Cleaned up the random number generation code.Gravatar Benoit Steiner2016-10-04
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* Updated the tensor sum and mean reducer to enable them to process complex ↵Gravatar Benoit Steiner2016-09-28
| | | | numbers on cuda gpus.
* Made the gaussian generator usable on GPUGravatar Benoit Steiner2016-09-22
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* Fix order of "static inline".Gravatar Gael Guennebaud2016-09-16
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* bug #1195: move NumTraits::Div<>::Cost to internal::scalar_div_cost (with ↵Gravatar Gael Guennebaud2016-09-08
| | | | some specializations in arch/SSE and arch/AVX)
* Fix CUDA build broken by changes to min and max reduction.Gravatar Rasmus Munk Larsen2016-09-02
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* Adjust Tensor module wrt recent change in nullary functorGravatar Gael Guennebaud2016-09-01
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* Fix bugs to make min- and max reducers with correctly with IEEE infinities.Gravatar Rasmus Munk Larsen2016-08-31
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* Simplified the code that dispatches vectorized reductions on GPUGravatar Benoit Steiner2016-06-09
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* Fixed definition of some of the reducer_traitsGravatar Benoit Steiner2016-06-09
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* Improved support for vectorization of 16-bit floatsGravatar Benoit Steiner2016-06-09
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* Advertize the packet api of the tensor reducers iff the corresponding packet ↵Gravatar Benoit Steiner2016-05-18
| | | | primitives are available.
* Roll back changes to core. Move include of TensorFunctors.h up to satisfy ↵Gravatar Rasmus Munk Larsen2016-05-17
| | | | dependence in TensorCostModel.h.
* Improvements to parallelFor.Gravatar Rasmus Munk Larsen2016-05-12
| | | | Move some scalar functors from TensorFunctors. to Eigen core.
* Worked around compilation errors with older versions of gccGravatar Benoit Steiner2016-05-11
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* Added support for fp16 to the sigmoid functor.Gravatar Benoit Steiner2016-05-10
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* Use DenseIndex in the MeanReducer to avoid overflows when processing very ↵Gravatar Benoit Steiner2016-04-19
| | | | large tensors.
* Merge upstream updates.Gravatar Rasmus Munk Larsen2016-04-14
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* | Eigen cost model part 1. This implements a basic recursive framework to ↵Gravatar Rasmus Munk Larsen2016-04-14
| | | | | | | | estimate the cost of evaluating tensor expressions.
| * Added support for fp16 to the sigmoid functionGravatar Benoit Steiner2016-04-14
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* Added support for fmodGravatar Benoit Steiner2016-03-28
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* Improved support for integer moduloGravatar Benoit Steiner2016-03-25
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* Avoid mutable class members when possibleGravatar Benoit Steiner2016-03-17
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* Allocate the mersenne twister used by the random number generators on the ↵Gravatar Benoit Steiner2016-03-17
| | | | heap instead of on the stack since they tend to keep a lot of state (i.e. about 5k) around.
* Enable the random number generators when compiling with visual studioGravatar Benoit Steiner2016-03-09
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* Use NumTraits::highest() and NumTraits::lowest() instead of the ↵Gravatar Benoit Steiner2016-03-07
| | | | std::numeric_limits to make the tensor min and max functors more CUDA friendly.
* Properly vectorized the random number generatorsGravatar Benoit Steiner2016-02-26
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* Marked the And and Or reducers as stateless.Gravatar Benoit Steiner2016-02-24
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* Added support for tensor reductions on half floatsGravatar Benoit Steiner2016-02-19
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* Don't attempt to vectorize mean reductions of integers since we can't useGravatar Benoit Steiner2015-12-22
| | | | SSE or AVX instructions to divide 2 integers.
* Made it possible to use the sigmoid functor within a CUDA kernel.Gravatar Benoit Steiner2015-12-04
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* Added more missing EIGEN_DEVICE_FUNCGravatar Benoit Steiner2015-11-06
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* Added support for modulo operationGravatar Benoit Steiner2015-11-05
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* Added support for boolean reductions (ie 'and' & 'or' reductions)Gravatar Benoit Steiner2015-10-20
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