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path: root/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
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* Make EIGEN_HAS_VARIADIC_TEMPLATES user configurableGravatar Gael Guennebaud2016-05-20
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* Make EIGEN_HAS_RVALUE_REFERENCES user configurableGravatar Gael Guennebaud2016-05-20
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* Rename EIGEN_HAVE_RVALUE_REFERENCES to EIGEN_HAS_RVALUE_REFERENCESGravatar Gael Guennebaud2016-05-20
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* Added missing accessors to fixed sized tensorsGravatar Benoit Steiner2016-04-29
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* Decoupled the packet type definition from the definition of the tensor ops. ↵Gravatar Benoit Steiner2016-03-08
| | | | All the vectorization is now defined in the tensor evaluators. This will make it possible to relialably support devices with different packet types in the same compilation unit.
* Backout changeset 690bc950f70c61075d396671e63480bbd64bb297Gravatar Gael Guennebaud2016-01-22
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* fix clang warningsGravatar Jan Prach2016-01-20
| | | | "braces around scalar initializer"
* Improved code indentationGravatar Benoit Steiner2016-01-19
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* Record whether the underlying tensor storage can be accessed directly during ↵Gravatar Benoit Steiner2016-01-19
| | | | the evaluation of an expression.
* Made the entire TensorFixedSize api callable from a CUDA kernel.Gravatar Benoit Steiner2015-12-14
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* Added support for fixed sized tensors of rank 0Gravatar Benoit Steiner2015-10-29
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* Many files were missing in previous changeset.Gravatar Gael Guennebaud2015-07-29
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* Enabled the construction of a fixed sized tensor directly from an expression.Gravatar Benoit Steiner2015-07-13
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* Made the index type a template parameter of the tensor class instead of ↵Gravatar Benoit Steiner2015-03-30
| | | | encoding it in the options.
* Misc improvements for fixed size tensorsGravatar Benoit Steiner2015-01-14
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* Fixed a compilation error with clangGravatar Benoit Steiner2014-10-30
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* Misc improvements and cleanupsGravatar Benoit Steiner2014-10-13
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* Fixed a commentGravatar Benoit Steiner2014-10-08
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* Reworked the expression evaluation mechanism in order to make it possible to ↵Gravatar Benoit Steiner2014-06-13
| | | | | | | | efficiently compute convolutions and contractions in the future: * The scheduling of computation is moved out the the assignment code and into a new TensorExecutor class * The assignment itself is now a regular node on the expression tree * The expression evaluators start by recursively evaluating all their subexpressions if needed
* Added support for tensor contractionsGravatar Benoit Steiner2014-06-04
| | | | | Updated expression evaluation mechanism to also compute the size of the tensor result Misc fixes and improvements.
* Vectorized the evaluation of tensor expression (using SSE, AVX, NEON, ...)Gravatar Benoit Steiner2014-05-16
| | | | | Added the ability to parallelize the evaluation of a tensor expression over multiple cpu cores. Added the ability to offload the evaluation of a tensor expression to a GPU.
* Added support for fixed sized tensors.Gravatar Benoit Steiner2014-05-06
Improved support for tensor expressions.