eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Fix rule-of-3 for the Tensor module.	Antonio Sanchez	2020-11-18
\| \| \| \| \| \| \|	Adds copy constructors to Tensor ops, inherits assignment operators from `TensorBase`. Addresses #1863
*	TensorMap constness should not change underlying storage constness	Eugene Zhulenev	2019-09-03
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*	Const correctness in TensorMap<const Tensor<T, ...>> expressions	Eugene Zhulenev	2019-08-28
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*	[SYCL] This PR adds the minimum modifications to the Eigen unsupported ↵	Mehdi Goli	2019-06-28
\| \| \| \| \| \| \| \| \| \|	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.
*	Fix most Doxygen warnings. Also add links to stable documentation from ↵	Christoph Hertzberg	2018-10-19
\| \| \| \| \| \| \|	unsupported modules (by using the corresponding Doxytags file). Manually grafted from d107a371c61b764c73fd1570b1f3ed1c6400dd7e
*	Using the suggested modification.	Mehdi Goli	2018-08-01
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*	variadic version of assert which can take a parameter pack as its input.	Mehdi Goli	2018-08-01
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*	Deleted unused TensorMap data member	Benoit Steiner	2016-09-23
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*	Partial OpenCL support via SYCL compatible with ComputeCpp CE.	Luke Iwanski	2016-09-19
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*	Make EIGEN_HAS_VARIADIC_TEMPLATES user configurable	Gael Guennebaud	2016-05-20
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*	Decoupled the packet type definition from the definition of the tensor ops. ↵	Benoit Steiner	2016-03-08
\| \| \| \|	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.
*	Worked around a few clang compilation warnings	Benoit Steiner	2016-02-10
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*	Backout changeset 690bc950f70c61075d396671e63480bbd64bb297	Gael Guennebaud	2016-01-22
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*	fix clang warnings	Jan Prach	2016-01-20
\| \| \| \|	"braces around scalar initializer"
*	Record whether the underlying tensor storage can be accessed directly during ↵	Benoit Steiner	2016-01-19
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*	Fixed the coefficient accessors use for the 2d and 3d case when compiling ↵	Benoit Steiner	2015-12-10
\| \| \| \|	without cxx11 support.
*	Added support for tensor maps of rank 0.	Benoit Steiner	2015-10-29
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*	Added a constructor to simplify the construction of tensormap from tensor	Benoit Steiner	2015-10-22
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*	Added missing apis to the TensorMap class	Benoit Steiner	2015-01-14
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*	Silenced a few compilation warnings	Benoit Steiner	2014-10-16
\| \| \| \|	Generalized a TensorMap constructor
*	Misc improvements and cleanups	Benoit Steiner	2014-10-13
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*	Removed dead code	Benoit Steiner	2014-10-08
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*	Fixed the assignment operator of the Tensor and TensorMap classes.	Benoit Steiner	2014-07-22
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*	Reworked the expression evaluation mechanism in order to make it possible to ↵	Benoit Steiner	2014-06-13
\| \| \| \| \| \| \| \|	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
*	Fixed compilation error	Benoit Steiner	2014-06-09
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*	Added support for additional tensor operations:	Benoit Steiner	2014-05-22
\| \| \| \| \| \| \| \|	* 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, ...)	Benoit Steiner	2014-05-16
\| \| \| \| \|	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.	Benoit Steiner	2014-05-06
\| \| \| \|	Improved support for tensor expressions.
*	Extended support for Tensors:	Benoit Steiner	2014-04-28
	* 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.