eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Fully support complex types in SumReducer and MeanReducer when building for ↵	RJ Ryan	2016-10-06
\| \| \| \|	CUDA by using scalar_sum_op and scalar_product_op instead of operator+ and operator*.
*	Increased the robustness of the reduction tests on fp16	Benoit Steiner	2016-10-05
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*	Increase the tolerance to numerical noise.	Benoit Steiner	2016-10-05
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*	::rand() returns a signed integer on win32	Benoit Steiner	2016-10-05
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*	Fixed a typo that impacts windows builds	Benoit Steiner	2016-10-05
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*	Silenced compilation warning	Benoit Steiner	2016-10-04
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*	Cleanup the cuda executor code.	Benoit Steiner	2016-10-04
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*	Cleaned up the random number generation code.	Benoit Steiner	2016-10-04
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*	Improved support for compiling CUDA code with clang as the host compiler	Benoit Steiner	2016-10-03
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*	Updated the tensor sum and mean reducer to enable them to process complex ↵	Benoit Steiner	2016-09-28
\| \| \| \|	numbers on cuda gpus.
*	Made the initialization of a CUDA device thread safe.	Benoit Steiner	2016-09-26
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*	Made the gaussian generator usable on GPU	Benoit Steiner	2016-09-22
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*	Don't use c++11 features and fix include.	RJ Ryan	2016-09-20
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*	Add CUDA-specific std::complex<T> specializations for scalar_sum_op, ↵	RJ Ryan	2016-09-20
\| \| \| \|	scalar_difference_op, scalar_product_op, and scalar_quotient_op.
*	Merged hongkai-dai/eigen/tip into default (bug #1298)	Gael Guennebaud	2016-09-19
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* \|	Deleted some unecessary and confusing EIGEN_DEVICE_FUNC	Benoit Steiner	2016-09-19
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\| *	remove ternary operator in euler angles	Hongkai Dai	2016-09-19
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*	Made AutoDiffJacobian more intuitive to use and updated for C++11	Emil Fresk	2016-09-16
\| \| \| \| \| \| \| \| \| \| \| \|	Changes: * Removed unnecessary types from the Functor by inferring from its types * Removed inputs() function reference, replaced with .rows() * Updated the forward constructor to use variadic templates * Added optional parameters to the Fuctor for passing parameters, control signals, etc * Has been tested with fixed size and dynamic matricies Ammendment by chtz: overload operator() for compatibility with not fully conforming compilers
*	Fix order of "static inline".	Gael Guennebaud	2016-09-16
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*	Added missing EIGEN_DEVICE_FUNC qualifiers	Benoit Steiner	2016-09-14
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*	Register the cxx11_tensor_device only for recent cuda architectures (i.e. >= ↵	Benoit Steiner	2016-09-12
\| \| \| \|	3.0) since the test instantiate contractions that require a modern gpu.
*	CUDA contractions require arch >= 3.0: don't compile the cuda contraction ↵	Benoit Steiner	2016-09-12
\| \| \| \|	tests on older architectures.
*	Fixed a bug impacting some outer reductions on GPU	Benoit Steiner	2016-09-12
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*	Added the ability to compute the absolute value of a complex number on GPU, ↵	Benoit Steiner	2016-09-12
\| \| \| \|	as well as a test to catch the problem.
*	Merged latest updates from trunk	Benoit Steiner	2016-09-12
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* \|	Properly size the list of waiters	Benoit Steiner	2016-09-12
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* \|	Added a resize method to MaxSizeVector	Benoit Steiner	2016-09-12
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\| *	bug #1195: move NumTraits::Div<>::Cost to internal::scalar_div_cost (with ↵	Gael Guennebaud	2016-09-08
\| \| \| \| \| \| \| \|	some specializations in arch/SSE and arch/AVX)
\| *	bug #1288: fix memory leak in arpack wrapper.	Gael Guennebaud	2016-09-05
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\| *	Fix compilation when cuda_fp16.h does not exist.	Gael Guennebaud	2016-09-05
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* \|	Fixed a regression test	Benoit Steiner	2016-09-02
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* \|	Use MaxSizeVector instead of std::vector: xcode sometimes assumes that ↵	Benoit Steiner	2016-09-02
\|/ \| \| \|	std::vector allocates aligned memory and therefore issues aligned instruction to initialize it. This can result in random crashes when compiling with AVX instructions enabled.
*	Pulled latest update from trunk	Benoit Steiner	2016-09-02
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* \|	Made the index type an explicit template parameter to help some compilers ↵	Benoit Steiner	2016-09-02
\| \| \| \| \| \| \| \|	compile the code.
\| *	Merged in rmlarsen/eigen (pull request PR-222)	Benoit Steiner	2016-09-02
\|/\| \| \| \| \| \| \|	Fix CUDA build broken by changes to min and max reduction.
\| *	Fix CUDA build broken by changes to min and max reduction.	Rasmus Munk Larsen	2016-09-02
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* \|	Fix the cxx11_tensor_cuda.cu test on 32bit platforms.	Benoit Steiner	2016-09-02
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* \|	Added a test for nullary expressions on CUDA	Benoit Steiner	2016-09-01
\| \| \| \| \| \| \| \|	Also check that we can mix 64 and 32 bit indices in the same compilation unit
* \|	Updated the contraction code to support constant inputs.	Benoit Steiner	2016-09-01
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*	Adjust Tensor module wrt recent change in nullary functor	Gael Guennebaud	2016-09-01
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*	Fix compilation with CUDA 8	Gael Guennebaud	2016-09-01
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*	Fix bugs to make min- and max reducers with correctly with IEEE infinities.	Rasmus Munk Larsen	2016-08-31
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*	merge EulerAngles module	Gael Guennebaud	2016-08-30
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* \|	Include missing forward declaration of SparseMatrix	Gael Guennebaud	2016-08-29
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* \|	Fix compilation with cuda 8	Gael Guennebaud	2016-08-29
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* \|	bug #1167: simplify installation of header files using cmake's ↵	Gael Guennebaud	2016-08-29
\| \| \| \| \| \| \| \|	install(DIRECTORY ...) command.
* \|	enable vectorization path when testing half on cuda, and add test for log1p	Gael Guennebaud	2016-08-26
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* \|	Add missing log1p method	Gael Guennebaud	2016-08-26
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* \|	Made the cost model cwiseMax and cwiseMin methods consts to help the PowerPC ↵	Benoit Steiner	2016-08-18
\| \| \| \| \| \| \| \|	cuda compiler compile this code.
* \|	Force the inlining of a simple accessor.	Benoit Steiner	2016-08-18
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