Benoit Steiner
4ede059de1
Properly gate the use of half2.
2016-05-10 17:04:01 -07:00
Benoit Steiner
661e710092
Added support for fp16 to the sigmoid functor.
2016-05-10 12:25:27 -07:00
Benoit Steiner
0eb69b7552
Small improvement to the full reduction of fp16
2016-05-10 11:58:18 -07:00
Benoit Steiner
4013b8feca
Simplified the reduction code a little.
2016-05-10 09:40:42 -07:00
Benoit Steiner
4670d7d5ce
Improved the performance of full reductions on GPU:
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Before:
BM_fullReduction/10 200000 11751 8.51 MFlops/s
BM_fullReduction/80 5000 523385 12.23 MFlops/s
BM_fullReduction/640 50 36179326 11.32 MFlops/s
BM_fullReduction/4K 1 2173517195 11.50 MFlops/s
After:
BM_fullReduction/10 500000 5987 16.70 MFlops/s
BM_fullReduction/80 200000 10636 601.73 MFlops/s
BM_fullReduction/640 50000 58428 7010.31 MFlops/s
BM_fullReduction/4K 1000 2006106 12461.95 MFlops/s
2016-05-09 17:09:54 -07:00
Benoit Steiner
c3859a2b58
Added the ability to use a scratch buffer in cuda kernels
2016-05-09 17:05:53 -07:00
Benoit Steiner
ba95e43ea2
Added a new parallelFor api to the thread pool device.
2016-05-09 10:45:12 -07:00
Benoit Steiner
dc7dbc2df7
Optimized the non blocking thread pool:
...
* Use a pseudo-random permutation of queue indices during random stealing. This ensures that all the queues are considered.
* Directly pop from a non-empty queue when we are waiting for work,
instead of first noticing that there is a non-empty queue and
then doing another round of random stealing to re-discover the non-empty
queue.
* Steal only 1 task from a remote queue instead of half of tasks.
2016-05-09 10:17:17 -07:00
Benoit Steiner
c54ae65c83
Marked a few tensor operations as read only
2016-05-05 17:18:47 -07:00
Benoit Steiner
910e013506
Relaxed an assertion that was tighter that necessary.
2016-05-05 15:38:16 -07:00
Benoit Steiner
a4d6e8fef0
Strongly hint but don't force the compiler to unroll a some loops in the tensor executor. This results in up to 27% faster code.
2016-05-05 09:25:55 -07:00
Benoit Steiner
f363e533aa
Added tests for full contractions using thread pools and gpu devices.
...
Fixed a couple of issues in the corresponding code.
2016-05-05 09:05:45 -07:00
Benoit Steiner
06d774bf58
Updated the contraction code to ensure that full contraction return a tensor of rank 0
2016-05-05 08:37:47 -07:00
Benoit Steiner
dd2b45feed
Removed extraneous 'explicit' keywords
2016-05-04 16:57:52 -07:00
Benoit Steiner
968ec1c2ae
Use numext::isfinite instead of std::isfinite
2016-05-03 19:56:40 -07:00
Benoit Steiner
aad9a04da4
Deleted superfluous explicit keyword.
2016-05-03 09:37:19 -07:00
Benoit Steiner
8a9228ed9b
Fixed compilation error
2016-05-01 14:48:01 -07:00
Benoit Steiner
d6c9596fd8
Added missing accessors to fixed sized tensors
2016-04-29 18:51:33 -07:00
Benoit Steiner
17fe7f354e
Deleted trailing commas
2016-04-29 18:39:01 -07:00
Benoit Steiner
e5f71aa6b2
Deleted useless trailing commas
2016-04-29 18:36:10 -07:00
Benoit Steiner
44f592dceb
Deleted unnecessary trailing commas.
2016-04-29 18:33:46 -07:00
Benoit Steiner
f100d1494c
Return the proper size (ie 1) for tensors of rank 0
2016-04-29 18:14:33 -07:00
Benoit Steiner
a8c0405cf5
Deleted unused default values for template parameters
2016-04-29 16:34:43 -07:00
Benoit Steiner
c07404f6a1
Restore Tensor support for non c++11 compilers
2016-04-29 15:19:19 -07:00
Benoit Steiner
ba32ded021
Fixed include path
2016-04-29 15:11:09 -07:00
Gael Guennebaud
318e65e0ae
Fix missing inclusion of Eigen/Core
2016-04-27 23:05:40 +02:00
Rasmus Munk Larsen
463738ccbe
Use computeProductBlockingSizes to compute blocking for both ShardByCol and ShardByRow cases.
2016-04-27 12:26:18 -07:00
Gael Guennebaud
3dddd34133
Refactor the unsupported CXX11/Core module to internal headers only.
2016-04-26 11:20:25 +02:00
Benoit Steiner
4a164d2c46
Fixed the partial evaluation of non vectorizable tensor subexpressions
2016-04-25 10:43:03 -07:00
Benoit Steiner
fd9401f260
Refined the cost of the striding operation.
2016-04-25 09:16:08 -07:00
Benoit Steiner
4bbc97be5e
Provide access to the base threadpool classes
2016-04-21 17:59:33 -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
f670613e4b
Fixed several compilation warnings
2016-04-21 11:03:02 -07:00
Benoit Steiner
2dde1b1028
Don't crash when attempting to reduce empty tensors.
2016-04-20 18:08:20 -07:00
Benoit Steiner
c7c2054bb5
Started to implement a portable way to yield.
2016-04-19 17:59:58 -07:00
Benoit Steiner
2b72163028
Implemented a more portable version of thread local variables
2016-04-19 15:56:02 -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
50968a0a3e
Use DenseIndex in the MeanReducer to avoid overflows when processing very large tensors.
2016-04-19 11:53:58 -07:00
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
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
Rasmus Munk Larsen
3718bf654b
Get rid of void* casting when calling EvalRange::run.
2016-04-15 12:51:33 -07:00
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
