Benoit Steiner
e5f71aa6b2
Deleted useless trailing commas
2016-04-29 18:36:10 -07:00
Rasmus Munk Larsen
235e83aba6
Eigen cost model part 1. This implements a basic recursive framework to estimate the cost of evaluating tensor expressions.
2016-04-14 13:57:35 -07:00
Benoit Steiner
e09eb835db
Decoupled the packet type definition from the definition of the tensor ops. 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.
2016-03-08 12:07:33 -08:00
Benoit Steiner
5b7713dd33
Record whether the underlying tensor storage can be accessed directly during the evaluation of an expression.
2016-01-19 17:05:10 -08:00
Benoit Steiner
f84417d97b
Removed an incorrect assertion.
2015-07-27 09:25:22 -07:00
Benoit Steiner
f6282e451a
Fixed a typo in an assertion.
2015-07-24 17:35:47 -07:00
Benoit Steiner
410895a7e4
Silenced several compilation warnings
2015-02-10 12:13:19 -08:00
Benoit Steiner
f697df7237
Improved support for RowMajor tensors
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Misc fixes and API cleanups.
2015-01-14 15:38:48 -08:00
Benoit Steiner
99d75235a9
Misc improvements and cleanups
2014-10-13 17:02:09 -07:00
Benoit Steiner
b1892ab14d
Added suppor for in place evaluation to simple tensor expressions.
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Use mempy to speedup tensor copies whenever possible.
2014-08-13 08:26:44 -07:00
Benoit Steiner
38ab7e6ed0
Reworked the expression evaluation mechanism in order to make it possible to efficiently compute convolutions and contractions in the future:
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* 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
2014-06-13 09:56:51 -07:00
Benoit Steiner
925fb6b937
TensorEval are now typed on the device: this will make it possible to use partial template specialization to optimize the strategy of each evaluator for each device type.
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Started work on partial evaluations.
2014-06-10 09:14:44 -07:00
Benoit Steiner
6fa6cdd2b9
Added support for tensor contractions
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Updated expression evaluation mechanism to also compute the size of the tensor result
Misc fixes and improvements.
2014-06-04 09:21:48 -07:00
Benoit Steiner
7402fea0a8
Vectorized the evaluation of tensor expression (using SSE, AVX, NEON, ...)
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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.
2014-05-16 15:08:05 -07:00
Benoit Steiner
c0f2cb016e
Extended support for Tensors:
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* 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.
2014-04-28 10:32:27 -07:00
