Benoit Steiner
44beee9d68
Removed dead code
2014-10-08 14:14:20 -07:00
Benoit Steiner
0a07ac574e
Added support for the *= and /* operators to TensorBase
2014-10-08 13:32:41 -07:00
Benoit Steiner
6c047d398d
Fixed a comment
2014-10-08 13:29:36 -07:00
Benoit Steiner
af2e5995e2
Improved support for CUDA devices.
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Improved contractions on GPU
2014-10-03 19:18:07 -07:00
Benoit Steiner
1269392822
Created the IndexPair type to store pair of tensor indices. CUDA doesn't support std::pair so we can't use them when targeting GPUs.
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Improved the performance on tensor contractions
2014-10-03 10:16:59 -07:00
Benoit Steiner
8b2afe33a1
Fixes for the forced evaluation of tensor expressions
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More tests
2014-10-02 10:39:36 -07:00
Benoit Steiner
7caaf6453b
Added support for tensor reductions and concatenations
2014-10-01 20:38:22 -07:00
Benoit Steiner
1c236f4c9a
Added tests for tensors of const values and tensors of stringswwq::
2014-10-01 20:21:42 -07:00
Benoit Steiner
efdff15749
Fixed a typo in the contraction code
2014-09-06 13:28:24 -07:00
Benoit Steiner
74db22455a
Misc fixes.
2014-09-05 07:47:43 -07:00
Benoit Steiner
d43f737b4a
Added support for evaluation of tensor shuffling operations as lvalues
2014-09-04 20:02:28 -07:00
Benoit Steiner
f50548e86a
Added missing tensor copy constructors. As a result it is now possible to declare and initialize a tensor on the same line, as in:
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Tensor<bla> T = A + B; or
Tensor<bla> T(A.reshape(new_shape));
2014-09-04 19:50:27 -07:00
Benoit Steiner
b24fe22b1a
Improved the performance of the tensor convolution code by a factor of about 4.
2014-09-03 11:38:13 -07:00
Benoit Steiner
2959045f2f
Optimized the tensor padding code.
2014-08-26 09:47:18 -07:00
Benoit Steiner
36fffe48f7
Misc api improvements and cleanups
2014-08-23 14:35:41 -07:00
Benoit Steiner
fb5c1e9097
Optimized and cleaned up the tensor morphing code
2014-08-23 13:18:30 -07:00
Benoit Steiner
3d298da269
Added support for broadcasting
2014-08-20 17:00:50 -07:00
Benoit Steiner
9ac3c821ea
Improved the speed of convolutions when running on cuda devices
2014-08-19 16:57:10 -07:00
Benoit Steiner
33c702c79f
Added support for fast integer divisions by a constant
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Sped up tensor slicing by a factor of 3 by using these fast integer divisions.
2014-08-14 22:13:21 -07:00
Benoit Steiner
eeb43f9e2b
Added support for padding, stridding, and shuffling
2014-08-14 00:22:47 -07:00
Benoit Steiner
16047c8d4a
Pulled in the latest changes from the Eigen trunk
2014-08-13 22:25:29 -07:00
Benoit Steiner
916ef48846
Added ability to get the nth element from an abstract array type.
2014-08-13 08:44:47 -07:00
Benoit Steiner
f1d8c13dbc
Fixed misc typos.
2014-08-13 08:40:26 -07:00
Benoit Steiner
9faad2932f
Added missing apis.
2014-08-13 08:36:33 -07:00
Benoit Steiner
f8fad09301
Updated the convolution and contraction evaluators to follow the new EvalSubExprsIfNeeded apu.
2014-08-13 08:33:18 -07:00
Benoit Steiner
72e7529708
Fixed a typo.
2014-08-13 08:29:40 -07:00
Benoit Steiner
1aa2bf8274
Support for in place evaluation of expressions containing slicing and reshaping operations
2014-08-13 08:27:58 -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
439feca139
Reworked the TensorExecutor code to support in place evaluation.
2014-08-13 08:22:05 -07:00
Benoit Steiner
647622281e
The tensor assignment code now resizes the destination tensor as needed.
2014-07-31 17:39:04 -07:00
Benoit Steiner
2116e261fb
Made sure that the data stored in fixed sized tensor is aligned.
2014-07-25 09:47:59 -07:00
Benoit Steiner
f7bb7ee3f3
Fixed the assignment operator of the Tensor and TensorMap classes.
2014-07-22 10:31:21 -07:00
Benoit Steiner
40bb98e76a
Added primitives to compare tensor dimensions
2014-07-10 11:29:51 -07:00
Benoit Steiner
ffd3654f67
Vectorized the evaluation of expressions involving tensor slices.
2014-07-10 11:09:46 -07:00
Benoit Steiner
25b2f6624d
Improved the speed of slicing operations.
2014-07-09 12:48:34 -07:00
Benoit Steiner
ea0906dfd8
Improved evaluation of tensor expressions when used as rvalues
2014-07-08 16:43:28 -07:00
Benoit Steiner
cc1bacea5b
Improved the efficiency of the tensor evaluation code on thread pools and gpus.
2014-07-08 16:39:28 -07:00
Benoit Steiner
c285fda7f4
Extended the functionality of the TensorDeviceType classes
2014-07-08 16:30:48 -07:00
Benoit Steiner
7d53633e05
Added support for tensor slicing
2014-07-07 14:10:36 -07:00
Benoit Steiner
bc072c5cba
Added support for tensor slicing
2014-07-07 14:08:45 -07:00
Benoit Steiner
47981c5925
Added support for tensor slicing
2014-07-07 14:07:57 -07:00
Benoit Steiner
f80c8e17eb
Silenced a compilation warning
2014-06-13 10:12:12 -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
aa664eabb9
Fixed a few compilation errors.
2014-06-10 10:31:29 -07:00
Benoit Steiner
4304c73542
Pulled latest updates from the Eigen main trunk.
2014-06-10 10:23:32 -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
a77458a8ff
Fixes compilation errors triggered when compiling the tensor contraction code with cxx11 enabled.
2014-06-09 10:06:57 -07:00
Benoit Steiner
a669052f12
Improved support for rvalues in tensor expressions.
2014-06-09 09:45:30 -07:00
Benoit Steiner
36a2b2e9dc
Prevent the generation of unlaunchable cuda kernels when compiling in debug mode.
2014-06-09 09:43:51 -07:00
Benoit Steiner
2859a31ac8
Fixed compilation error
2014-06-09 09:42:34 -07:00
