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Author SHA1 Message Date
Benoit Steiner
5c372d19e3 Merged in rmlarsen/eigen (pull request PR-179) 
Prevent crash in CompleteOrthogonalDecomposition if object was default constructed.
 2016-04-21 18:06:36 -07:00
Benoit Steiner
4bbc97be5e Provide access to the base threadpool classes 2016-04-21 17:59:33 -07:00
Rasmus Munk Larsen
a3256d78d8 Prevent crash in CompleteOrthogonalDecomposition if object was default constructed. 2016-04-21 16:49:28 -07:00
Benoit Steiner
33adce5c3a Added the ability to switch to the new thread pool with a #define 2016-04-21 11:59:58 -07:00
Benoit Steiner
79b900375f Use index list for the striding benchmarks 2016-04-21 11:58:27 -07:00
Benoit Steiner
f670613e4b Fixed several compilation warnings 2016-04-21 11:03:02 -07:00
Benoit Steiner
6015422ee6 Added an option to enable the use of the F16C instruction set 2016-04-21 10:30:29 -07:00
Benoit Steiner
32ffce04fc Use EIGEN_THREAD_YIELD instead of std::this_thread::yield to make the code more portable. 2016-04-21 08:47:28 -07:00
Benoit Steiner
2dde1b1028 Don't crash when attempting to reduce empty tensors. 2016-04-20 18:08:20 -07:00
Benoit Steiner
a792cd357d Added more tests 2016-04-20 17:33:58 -07:00
Benoit Steiner
80200a1828 Don't attempt to leverage the _cvtss_sh and _cvtsh_ss instructions when compiling with clang since it's unclear which versions of clang actually support these instruction. 2016-04-20 12:10:27 -07:00
Benoit Steiner
c7c2054bb5 Started to implement a portable way to yield. 2016-04-19 17:59:58 -07:00
Benoit Steiner
1d0238375d Made sure all the required header files are included when trying to use fp16 2016-04-19 17:44:12 -07:00
Benoit Steiner
2b72163028 Implemented a more portable version of thread local variables 2016-04-19 15:56:02 -07:00
Benoit Steiner
04f954956d Fixed a few typos 2016-04-19 15:27:09 -07:00
Benoit Steiner
5b1106c56b Fixed a compilation error with nvcc 7. 2016-04-19 14:57:57 -07:00
Benoit Steiner
7129d998db Simplified the code that launches cuda kernels. 2016-04-19 14:55:21 -07:00
Benoit Steiner
b9ea40c30d Don't take the address of a kernel on CUDA devices that don't support this feature. 2016-04-19 14:35:11 -07:00
Benoit Steiner
884c075058 Use numext::ceil instead of std::ceil 2016-04-19 14:33:30 -07:00
Benoit Steiner
a278414d1b Avoid an unnecessary copy of the evaluator. 2016-04-19 13:54:28 -07:00
Benoit Steiner
f953c60705 Fixed 2 recent regression tests 2016-04-19 12:57:39 -07:00
Benoit Steiner
50968a0a3e Use DenseIndex in the MeanReducer to avoid overflows when processing very large tensors. 2016-04-19 11:53:58 -07:00
Benoit Steiner
84543c8be2 Worked around the lack of a rand_r function on windows systems 2016-04-17 19:29:27 -07:00
Benoit Steiner
5fbcfe5eb4 Worked around the lack of a rand_r function on windows systems 2016-04-17 18:42:31 -07:00
Gael Guennebaud
e4fe611e2c Enable lazy-coeff-based-product for vector*(1x1) products 2016-04-16 15:17:39 +02:00
Benoit Steiner
c8e8f93d6c Move the evalGemm method into the TensorContractionEvaluatorBase class to make it accessible from both the single and multithreaded contraction evaluators. 2016-04-15 16:48:10 -07:00
Benoit Steiner
1a16fb1532 Deleted extraneous comma. 2016-04-15 15:50:13 -07:00
Benoit Steiner
7cff898e0a Deleted unnecessary variable 2016-04-15 15:46:14 -07:00
Benoit Steiner
6c43c49e4a Fixed a few compilation warnings 2016-04-15 15:34:34 -07:00
Benoit Steiner
eb669f989f Merged in rmlarsen/eigen (pull request PR-178) 
Eigen Tensor cost model part 2: Thread scheduling for standard evaluators and reductions.
 2016-04-15 14:53:15 -07:00
Gael Guennebaud
2a7115daca bug #1203: by-pass large stack-allocation in stableNorm if EIGEN_STACK_ALLOCATION_LIMIT is too small 2016-04-15 22:34:11 +02:00
Rasmus Munk Larsen
3718bf654b Get rid of void* casting when calling EvalRange::run. 2016-04-15 12:51:33 -07:00
Benoit Steiner
40c9923a8a Fixed compilation errors with msvc 2016-04-15 11:27:52 -07:00
Benoit Steiner
1d23430628 Improved the matrix multiplication blocking in the case where mr is not a power of 2 (e.g on Haswell CPUs). 2016-04-15 10:53:31 -07:00
Gael Guennebaud
1e80bddde3 Fix trmv for mixing types. 2016-04-15 17:58:36 +02:00
Benoit Steiner
a62e924656 Added ability to access the cache sizes from the tensor devices 2016-04-14 21:25:06 -07:00
Benoit Steiner
18e6f67426 Added support for exclusive or 2016-04-14 20:37:46 -07:00
Rasmus Munk Larsen
07ac4f7e02 Eigen Tensor cost model part 2: Thread scheduling for standard evaluators and reductions. The cost model is turned off by default. 2016-04-14 18:28:23 -07:00
Benoit Steiner
9624a1ea3d Added missing definition of PacketSize in the gpu evaluator of convolution 2016-04-14 17:16:58 -07:00
Benoit Steiner
6fbedf5a4e Merged in rmlarsen/eigen (pull request PR-177) 
Eigen Tensor cost model part 1.
 2016-04-14 17:13:19 -07:00
Benoit Steiner
bebb89acfa Enabled the new threadpool tests 2016-04-14 16:44:10 -07:00
Benoit Steiner
9c064b5a97 Cleanup 2016-04-14 16:41:31 -07:00
Benoit Steiner
1372156c41 Prepared the migration to the new non blocking thread pool 2016-04-14 16:16:42 -07:00
Rasmus Munk Larsen
aeb5494a0b Improvements to cost model. 2016-04-14 15:52:58 -07:00
Benoit Steiner
00dfe18487 Merged latest updates from trunk 2016-04-14 15:25:20 -07:00
Benoit Steiner
a8e8837ba7 Added tests for the non blocking thread pool 2016-04-14 15:23:49 -07:00
Benoit Steiner
78a51abc12 Added a more scalable non blocking thread pool 2016-04-14 15:23:10 -07:00
Rasmus Munk Larsen
d2e95492e7 Merge upstream updates. 2016-04-14 13:59:50 -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
Gael Guennebaud
68897c52f3 Add extreme values to the imaginary part for SVD unit tests. 2016-04-14 22:47:30 +02:00