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path: root/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
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* Fixed the vectorized implementation of the Tensor select() methodGravatar Benoit Steiner2015-03-25
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* Silenced more compilation warningsGravatar Benoit Steiner2015-02-10
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* Silcenced a few compilation warningsGravatar Benoit Steiner2015-02-10
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* Silenced several compilation warningsGravatar Benoit Steiner2015-02-10
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* Fixed the return type of coefficient wise operations. For example, the abs ↵Gravatar Benoit Steiner2015-01-14
| | | | function returns a floating point value when called on a complex input.
* Fixed the return type of the coefficient-wise tensor operations.Gravatar Benoit Steiner2014-11-04
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* Fixed the return types of unary and binary expressions to properly handle ↵Gravatar Benoit Steiner2014-10-16
| | | | the case where it is different from the input type (e.g. abs(complex<float>))
* Misc improvements and cleanupsGravatar Benoit Steiner2014-10-13
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* Added suppor for in place evaluation to simple tensor expressions.Gravatar Benoit Steiner2014-08-13
| | | | Use mempy to speedup tensor copies whenever possible.
* Improved evaluation of tensor expressions when used as rvaluesGravatar Benoit Steiner2014-07-08
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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
* TensorEval are now typed on the device: this will make it possible to use ↵Gravatar Benoit Steiner2014-06-10
| | | | | | partial template specialization to optimize the strategy of each evaluator for each device type. Started work on partial evaluations.
* 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.
* Added support for additional tensor operations:Gravatar Benoit Steiner2014-05-22
| | | | | | | | * comparison (<, <=, ==, !=, ...) * selection * nullary ops such as random or constant generation * misc unary ops such as log(), exp(), or a user defined unaryExpr() Cleaned up the code a little.
* 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.
* Extended support for Tensors:Gravatar Benoit Steiner2014-04-28
* Added ability to map a region of the memory to a tensor * Added basic support for unary and binary coefficient wise expressions, such as addition or square root * Provided an emulation layer to make it possible to compile the code with compilers (such as nvcc) that don't support cxx11.