11 Commits

Author SHA1 Message Date
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
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.
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:
* 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.
Started work on partial evaluations.
2014-06-10 09:14:44 -07:00
Benoit Steiner
6fa6cdd2b9 Added support for tensor contractions
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, ...)
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:
* 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