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
Gael Guennebaud
20f387fafa
Improve numerical robustness of JacoviSVD:
...
- avoid noise amplification in complex to real conversion
- compare off-diagonal entries to the current biggest diagonal entry: no need to bother about a 2x2 block containing ridiculously small entries compared to the rest of the matrix.
2016-04-14 22:46:55 +02:00
Benoit Steiner
7718749fee
Force the inlining of the << operator on half floats
2016-04-14 11:51:54 -07:00
Benoit Steiner
5379d2b594
Inline the << operator on half floats
2016-04-14 11:40:48 -07:00
Benoit Steiner
5912ad877c
Silenced a compilation warning
2016-04-14 11:40:14 -07:00
