eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Enabled the use of fixed dimensions from within a cuda kernel.	Benoit Steiner	2016-01-11
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*	Deleted unused variable.	Benoit Steiner	2016-01-11
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*	Silenced a nvcc compilation warning	Benoit Steiner	2016-01-11
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*	Silenced several compilation warnings triggered by nvcc.	Benoit Steiner	2016-01-11
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*	Merged in jeremy_barnes/eigen/shader-model-3.0 (pull request PR-152)	Benoit Steiner	2016-01-11
\|\ \| \| \| \| \| \|	Alternative way of forcing instantiation of device kernels without causing warnings or requiring device to device kernel invocations.
* \|	Fixed a bug in the dispatch of optimized reduction kernels.	Benoit Steiner	2016-01-11
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* \|	Re-enabled the optimized reduction CUDA code.	Benoit Steiner	2016-01-11
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\| *	Cleaned up double-defined macro from last commit	Jeremy Barnes	2016-01-10
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\| *	Alternative way of forcing instantiation of device kernels without	Jeremy Barnes	2016-01-10
\|/ \| \| \| \| \|	causing warnings or requiring device to device kernel invocations. This allows Tensorflow to work on SM 3.0 (ie, Amazon EC2) machines.
*	Simplified the dispatch code.	Benoit Steiner	2016-01-08
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*	Made it possible to use array of size 0 on CUDA devices	Benoit Steiner	2016-01-08
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*	Reworked the dispatch of optimized cuda reduction kernels to workaround a ↵	Benoit Steiner	2016-01-08
\| \| \| \|	nvcc bug that prevented the code from compiling in optimized mode in some cases
*	Prevent nvcc from miscompiling the cuda metakernel. Unfortunately this ↵	Benoit Steiner	2016-01-08
\| \| \| \|	reintroduces some compulation warnings but it's much better than having to deal with random assertion failures.
*	Removed a couple of partial specialization that confuse nvcc and result in ↵	Benoit Steiner	2016-01-07
\| \| \| \| \| \| \| \|	errors such as this: error: more than one partial specialization matches the template argument list of class "Eigen::internal::get<3, Eigen::internal::numeric_list<std::size_t, 1UL, 1UL, 1UL, 1UL>>" "Eigen::internal::get<n, Eigen::internal::numeric_list<T, a, as...>>" "Eigen::internal::get<n, Eigen::internal::numeric_list<T, as...>>"
*	Fixed a typo.	Benoit Steiner	2016-01-06
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*	Optimized the performance of broadcasting of scalars.	Benoit Steiner	2016-01-06
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*	Improved the performance of reductions on CUDA devices	Benoit Steiner	2016-01-04
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*	Added a 'divup' util to compute the floor of the quotient of two integers	Benoit Steiner	2016-01-04
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*	Add missing ctor from uint	Gael Guennebaud	2015-12-30
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*	Don't attempt to vectorize mean reductions of integers since we can't use	Benoit Steiner	2015-12-22
\| \| \| \|	SSE or AVX instructions to divide 2 integers.
*	Optimized the configuration of the outer reduction cuda kernel	Benoit Steiner	2015-12-22
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*	Added missing define	Benoit Steiner	2015-12-22
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*	Made sure the optimized gpu reduction code is actually compiled.	Benoit Steiner	2015-12-22
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*	Optimized outer reduction on GPUs.	Benoit Steiner	2015-12-22
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*	Added missing const	Benoit Steiner	2015-12-21
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*	Add alignment requirement for local buffer used by the slicing op.	Benoit Steiner	2015-12-18
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*	Doubled the speed of full reductions on GPUs.	Benoit Steiner	2015-12-18
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*	Fixed a clang compilation warning triggered by the use of arrays of size 0.	Benoit Steiner	2015-12-17
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*	Silenced some compilation warnings triggered by nvcc	Benoit Steiner	2015-12-17
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*	Made it possible to run tensor chipping operations on CUDA devices	Benoit Steiner	2015-12-17
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*	Made the entire TensorFixedSize api callable from a CUDA kernel.	Benoit Steiner	2015-12-14
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*	Marked the tensor constructors as EIGEN_DEVICE_FUNC: This makes it possible ↵	Benoit Steiner	2015-12-14
\| \| \| \|	to call them from a CUDA kernel.
*	Merged in ebrevdo/eigen (pull request PR-148)	Gael Guennebaud	2015-12-11
\|\ \| \| \| \| \| \|	Add special functions to eigen: lgamma, erf, erfc.
* \|	Fixed a typo in the constructor of tensors of rank 5.	Benoit Steiner	2015-12-10
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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.
\| *	Add special functions to Eigen: lgamma, erf, erfc.	Eugene Brevdo	2015-12-07
\| \| \| \| \| \| \| \|	Includes CUDA support and unit tests.
* \|	Fixed another compilation warning	Benoit Steiner	2015-12-07
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*	Fixed compilation warnings	Benoit Steiner	2015-12-07
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*	Use signed integers instead of unsigned ones more consistently in the codebase.	Benoit Steiner	2015-12-04
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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.
*	Made it possible to use the sigmoid functor within a CUDA kernel.	Benoit Steiner	2015-12-04
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*	Deleted redundant code	Benoit Steiner	2015-12-03
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*	added scalar_sign_op (both real,complex)	Mark Borgerding	2015-11-24
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*	Fixed a bug in TensorArgMax.h	Benoit Steiner	2015-11-23
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*	Fixed the implementation of Eigen::internal::count_leading_zeros for MSVC.	Benoit Steiner	2015-11-23
\| \| \| \|	Also updated the code to silence bogux warnings generated by nvcc when compilining this function.
*	Don't create more cuda blocks than necessary	Benoit Steiner	2015-11-23
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*	Made it possible to refer t oa GPUDevice from code compile with a regular ↵	Benoit Steiner	2015-11-23
\| \| \| \|	C++ compiler
*	Deleted unused variable.	Benoit Steiner	2015-11-23
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*	Split TensorDeviceType.h in 3 files to make it more manageable	Benoit Steiner	2015-11-20
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*	Added option to force the usage of the Eigen array class instead of the ↵	Benoit Steiner	2015-11-20
\| \| \| \|	std::array class.