526 Commits

Author SHA1 Message Date
Benoit Steiner
94e47798f4 Fixed the return types of unary and binary expressions to properly handle the case where it is different from the input type (e.g. abs(complex<float>)) 2014-10-16 10:41:07 -07:00
Benoit Steiner
d853adffdb Avoid calling get_future() more than once on a given promise. 2014-10-16 10:10:04 -07:00
Benoit Steiner
bfdd9f3ac9 Made the blocking computation aware of the l3 cache
Also optimized the blocking parameters to take into account the number of threads used for a computation
2014-10-15 15:32:59 -07:00
Benoit Steiner
dba55041ab Added support for promises
Started to improve multithreaded contractions
2014-10-15 11:20:36 -07:00
Benoit Steiner
99d75235a9 Misc improvements and cleanups 2014-10-13 17:02:09 -07:00
Benoit Steiner
4c70b0a762 Added support for patch extraction 2014-10-13 10:04:04 -07:00
Benoit Steiner
0219f8aed4 Added ability to print a tensor using an iostream. 2014-10-10 16:17:26 -07:00
Benoit Steiner
2ed1838aeb Added support for tensor chips 2014-10-10 16:11:27 -07:00
Benoit Steiner
4b36c3591f Fixed the tensor shuffling test 2014-10-10 15:43:21 -07:00
Benoit Steiner
a991f94c0e Fixed the thread pool test 2014-10-10 15:20:37 -07:00
Benoit Steiner
498b7eed25 Rewrote the TensorBase::random method to support the generation of random number on gpu. 2014-10-09 15:39:13 -07:00
Benoit Steiner
767424af18 Improved the functors defined for standard reductions
Added a functor to encapsulate the generation of random numbers on cpu and gpu.
2014-10-09 15:36:23 -07:00
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.
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.
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
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:
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
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
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.
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