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
*	Add block evaluation V2 to TensorAsyncExecutor.	Rasmus Munk Larsen	2019-10-22
\| \| \| \|	Add async evaluation to a number of ops.
*	Allow move-only done callback in TensorAsyncDevice	Eugene Zhulenev	2019-09-03
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*	Asynchronous expression evaluation with TensorAsyncDevice	Eugene Zhulenev	2019-08-30
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*	Deleted redundant code	Benoit Steiner	2015-12-03
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*	Refined the #ifdef __CUDACC__ guard to ensure that when trying to compile ↵	Benoit Steiner	2015-10-23
\| \| \| \|	gpu code with a non cuda compiler results in a linking error instead of bogus code.
*	Avoid making an unecessary copy of the tensor expression when evaluating it ↵	Benoit Steiner	2015-03-25
\| \| \| \|	on a GPU device
*	Cleaned up the TensorDevice code a little bit.	Benoit Steiner	2015-03-25
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*	Added the -= operator to the device classes	Benoit Steiner	2015-03-19
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*	Misc improvements and cleanups	Benoit Steiner	2014-10-13
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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.
*	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.
*	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.