Gael Guennebaud
ee37eb4eed
bug #977 : avoid division by 0 in normalize() and normalized().
2016-01-21 20:43:42 +01:00
Gael Guennebaud
7cae8918c0
Fix compilation on old gcc+AVX
2016-01-21 20:30:32 +01:00
Gael Guennebaud
8dca9f97e3
Add numext::sqrt function to enable custom optimized implementation.
...
This changeset add two specializations for float/double on SSE. Those
are mostly usefull with GCC for which std::sqrt add an extra and costly
check on the result of _mm_sqrt_*. Clang does not add this burden.
In this changeset, only DenseBase::norm() makes use of it.
2016-01-21 20:18:51 +01:00
Gael Guennebaud
34340458cb
bug #1151 : remove useless critical section
2016-01-21 14:29:45 +01:00
Jan Prach
690bc950f7
fix clang warnings
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"braces around scalar initializer"
2016-01-20 19:35:59 -08:00
Benoit Steiner
f2a842294f
Pulled latest updates from the trunk
2016-01-20 18:12:53 -08:00
Benoit Steiner
7ce932edd3
Small cleanup and small fix to the contraction of row major tensors
2016-01-20 18:12:08 -08:00
Gael Guennebaud
62f7e77711
add upper|lower case in incomplete_cholesky unit test
2016-01-21 00:02:59 +01:00
Benoit Steiner
47076bf00e
Reduce the register pressure exerted by the tensor mappers whenever possible. This improves the performance of the contraction of a matrix with a vector by about 35%.
2016-01-20 14:51:48 -08:00
Benoit Steiner
ebd3388ee6
Pulled latest updates from trunk
2016-01-20 13:56:43 -08:00
Gael Guennebaud
ed8ade9c65
bug #1149 : fix Pastix*::*parm()
2016-01-20 19:01:24 +01:00
Gael Guennebaud
4c5e96aab6
bug #1148 : silent Pastix by default
2016-01-20 18:56:17 +01:00
Gael Guennebaud
db237d0c75
bug #1145 : fix PastixSupport LLT/LDLT wrappers (missing resize prior to calls to selfAdjointView)
2016-01-20 18:49:01 +01:00
Gael Guennebaud
0b7169d1f7
bug #1147 : fix compilation of PastixSupport
2016-01-20 18:15:59 +01:00
Gael Guennebaud
234a1094b7
Add static assertion to y(), z(), w() accessors
2016-01-20 09:18:44 +01:00
Ville Kallioniemi
915e7667cd
Remove executable bit from header files
2016-01-19 21:17:29 -07:00
Ville Kallioniemi
2832175a68
Use explicitly 32 bit integer types in constructors.
2016-01-19 20:12:17 -07:00
Benoit Steiner
df79c00901
Improved the formatting of the code
2016-01-19 17:24:08 -08:00
Benoit Steiner
6d472d8375
Moved the contraction mapping code to its own file to make the code more manageable.
2016-01-19 17:22:05 -08:00
Benoit Steiner
b3b722905f
Improved code indentation
2016-01-19 17:09:47 -08:00
Benoit Steiner
5b7713dd33
Record whether the underlying tensor storage can be accessed directly during the evaluation of an expression.
2016-01-19 17:05:10 -08:00
Ville Kallioniemi
63fb66f53a
Add ctor for long
2016-01-17 21:25:36 -07:00
Eugene Brevdo
6a75e7e0d5
Digamma cleanup
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* Added permission from cephes author to use his code
* Cleanup in ArrayCwiseUnaryOps
2016-01-15 16:32:21 -08:00
Benoit Steiner
34057cff23
Fixed a race condition that could affect some reductions on CUDA devices.
2016-01-15 15:11:56 -08:00
Benoit Steiner
0461f0153e
Made it possible to compare tensor dimensions inside a CUDA kernel.
2016-01-15 11:22:16 -08:00
Benoit Steiner
aed4cb1269
Use warp shuffles instead of shared memory access to speedup the inner reduction kernel.
2016-01-14 21:45:14 -08:00
Benoit Steiner
8fe2532e70
Fixed a boundary condition bug in the outer reduction kernel
2016-01-14 09:29:48 -08:00
Benoit Steiner
9f013a9d86
Properly record the rank of reduced tensors in the tensor traits.
2016-01-13 14:24:37 -08:00
Benoit Steiner
79b69b7444
Trigger the optimized matrix vector path more conservatively.
2016-01-12 15:21:09 -08:00
Benoit Steiner
d920d57f38
Improved the performance of the contraction of a 2d tensor with a 1d tensor by a factor of 3 or more. This helps speedup LSTM neural networks.
2016-01-12 11:32:27 -08:00
Benoit Steiner
bd7d901da9
Reverted a previous change that tripped nvcc when compiling in debug mode.
2016-01-11 17:49:44 -08:00
Benoit Steiner
bbdabbb379
Made the blas utils usable from within a cuda kernel
2016-01-11 17:26:56 -08:00
Benoit Steiner
c5e6900400
Silenced a few compilation warnings.
2016-01-11 17:06:39 -08:00
Benoit Steiner
f894736d61
Updated the tensor traits: the alignment is not part of the Flags enum anymore
2016-01-11 16:42:18 -08:00
Benoit Steiner
4f7714d72c
Enabled the use of fixed dimensions from within a cuda kernel.
2016-01-11 16:01:00 -08:00
Benoit Steiner
01c55d37e6
Deleted unused variable.
2016-01-11 15:53:19 -08:00
Benoit Steiner
0504c56ea7
Silenced a nvcc compilation warning
2016-01-11 15:49:21 -08:00
Benoit Steiner
b523771a24
Silenced several compilation warnings triggered by nvcc.
2016-01-11 14:25:43 -08:00
Benoit Steiner
2c3b13eded
Merged in jeremy_barnes/eigen/shader-model-3.0 (pull request PR-152)
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Alternative way of forcing instantiation of device kernels without causing warnings or requiring device to device kernel invocations.
2016-01-11 11:43:37 -08:00
Benoit Steiner
2ccb1c8634
Fixed a bug in the dispatch of optimized reduction kernels.
2016-01-11 10:36:37 -08:00
Benoit Steiner
780623261e
Re-enabled the optimized reduction CUDA code.
2016-01-11 09:07:14 -08:00
Jeremy Barnes
91678f489a
Cleaned up double-defined macro from last commit
2016-01-10 22:44:45 -05:00
Jeremy Barnes
403a7cb6c3
Alternative way of forcing instantiation of device kernels without
...
causing warnings or requiring device to device kernel invocations.
This allows Tensorflow to work on SM 3.0 (ie, Amazon EC2) machines.
2016-01-10 22:39:13 -05:00
Gael Guennebaud
b557662e58
merge
2016-01-09 08:37:01 +01:00
Gael Guennebaud
8b9dc9f0df
bug #1144 : fix regression in x=y+A*x (aliasing), and move evaluator_traits::AssumeAliasing to evaluator_assume_aliasing.
2016-01-09 08:30:38 +01:00
Benoit Steiner
e76904af1b
Simplified the dispatch code.
2016-01-08 16:50:57 -08:00
Benoit Steiner
d726e864ac
Made it possible to use array of size 0 on CUDA devices
2016-01-08 16:38:14 -08:00
Benoit Steiner
3358dfd5dd
Reworked the dispatch of optimized cuda reduction kernels to workaround a nvcc bug that prevented the code from compiling in optimized mode in some cases
2016-01-08 16:28:53 -08:00
Benoit Steiner
53749ff415
Prevent nvcc from miscompiling the cuda metakernel. Unfortunately this reintroduces some compulation warnings but it's much better than having to deal with random assertion failures.
2016-01-08 13:53:40 -08:00
Gael Guennebaud
f9d71a1729
extend matlab conversion table
2016-01-08 22:24:45 +01:00
