eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Adding Tensor ReverseOp; TensorStriding; TensorConversionOp; Modifying ↵	Mehdi Goli	2017-01-16
\| \| \| \|	Tensor Contractsycl to be located in any place in the expression tree.
*	struct -> class in order to silence compilation warning.	Luke Iwanski	2016-12-16
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*	Converting all parallel for lambda to functor in order to prevent kernel ↵	Mehdi Goli	2016-12-16
\| \| \| \|	duplication name error; adding tensorConcatinationOp backend for sycl.
*	Cleaned up forward declarations	Benoit Steiner	2016-11-30
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*	Fixing LLVM error on TensorMorphingSycl.h on GPU; fixing int64_t crash for ↵	Mehdi Goli	2016-11-25
\| \| \| \|	tensor_broadcast_sycl on GPU; adding get_sycl_supported_devices() on syclDevice.h.
*	Removed the sycl include from Eigen/Core and moved it to ↵	Mehdi Goli	2016-11-04
\| \| \| \|	Unsupported/Eigen/CXX11/Tensor; added TensorReduction for sycl (full reduction and partial reduction); added TensorReduction test case for sycl (full reduction and partial reduction); fixed the tile size on TensorSyclRun.h based on the device max work group size;
*	Removed a template parameter for fixed sized tensors	Benoit Steiner	2016-10-26
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*	Replaced tabs with spaces	Benoit Steiner	2016-10-25
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*	Partial OpenCL support via SYCL compatible with ComputeCpp CE.	Luke Iwanski	2016-09-19
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*	Workaround compilation issue with msvc	Gael Guennebaud	2016-07-04
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*	Add TernaryFunctors and the betainc SpecialFunction.	Eugene Brevdo	2016-06-02
\| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \|	TernaryFunctors and their executors allow operations on 3-tuples of inputs. API fully implemented for Arrays and Tensors based on binary functors. Ported the cephes betainc function (regularized incomplete beta integral) to Eigen, with support for CPU and GPU, floats, doubles, and half types. Added unit tests in array.cpp and cxx11_tensor_cuda.cu Collapsed revision * Merged helper methods for betainc across floats and doubles. * Added TensorGlobalFunctions with betainc(). Removed betainc() from TensorBase. * Clean up CwiseTernaryOp checks, change igamma_helper to cephes_helper. * betainc: merge incbcf and incbd into incbeta_cfe. and more cleanup. * Update TernaryOp and SpecialFunctions (betainc) based on review comments.
*	Add tensor scan op	Igor Babuschkin	2016-06-02
\| \| \| \| \|	This is the initial implementation a generic scan operation. Based on this, cumsum and cumprod method have been added to TensorBase.
*	Added a new operation to enable more powerful tensorindexing.	Benoit Steiner	2016-05-27
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*	Use integers instead of std::size_t to encode the number of dimensions in ↵	Benoit Steiner	2015-12-04
\| \| \| \|	the Tensor class since most of the code currently already use integers.
*	Added missing glue logic	Benoit Steiner	2015-10-22
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*	Added support for argmax/argmin	Benoit Steiner	2015-08-31
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*	Added support for tensor inflation.	Benoit Steiner	2015-07-16
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*	Fixed a compilation warning generated by clang	Benoit Steiner	2015-07-06
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*	Enabled the vectorized evaluation of several tensor expressions that was ↵	Benoit Steiner	2015-07-01
\| \| \| \|	previously disabled by mistake
*	Added support for user defined custom tensor op.	Benoit Steiner	2015-06-30
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*	Added support for 3D patch extraction	Benoit Steiner	2015-06-30
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*	Added the ability to generate a tensor from a custom user defined ↵	Benoit Steiner	2015-04-22
\| \| \| \| \| \|	'generator'. This simplifies the creation of constant tensors initialized using specific regular patterns. Created a gaussian window generator as a first use case.
*	Made the index type a template parameter of the tensor class instead of ↵	Benoit Steiner	2015-03-30
\| \| \| \|	encoding it in the options.
*	Added support for vectorized type casting of tensors	Benoit Steiner	2015-02-27
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*	Improved support for RowMajor tensors	Benoit Steiner	2015-01-14
\| \| \| \|	Misc fixes and API cleanups.
*	Added support for extraction of patches from images	Benoit Steiner	2014-11-13
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*	Added support for tensor references	Benoit Steiner	2014-10-28
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*	Added support for patch extraction	Benoit Steiner	2014-10-13
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*	Added support for tensor chips	Benoit Steiner	2014-10-10
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*	Added support for tensor reductions and concatenations	Benoit Steiner	2014-10-01
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*	Added support for broadcasting	Benoit Steiner	2014-08-20
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*	Added support for padding, stridding, and shuffling	Benoit Steiner	2014-08-14
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*	Added support for tensor slicing	Benoit Steiner	2014-07-07
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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
*	TensorEval are now typed on the device: this will make it possible to use ↵	Benoit Steiner	2014-06-10
\| \| \| \| \| \|	partial template specialization to optimize the strategy of each evaluator for each device type. Started work on partial evaluations.
*	Improved support for rvalues in tensor expressions.	Benoit Steiner	2014-06-09
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*	Added support for convolution and reshaping of tensors.	Benoit Steiner	2014-06-06
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*	Added support for tensor contractions	Benoit Steiner	2014-06-04
\| \| \| \| \|	Updated expression evaluation mechanism to also compute the size of the tensor result Misc fixes and improvements.
*	Added support for additional tensor operations:	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.