mirror/eigen
2
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2024-12-21 07:19:46 +08:00
Code Issues Packages Projects Releases Wiki Activity
7,478 Commits 11 Branches 89 Tags 162 MiB
002824e32d
Commit Graph

7478 Commits

This Branch
This Branch
All Branches
Author SHA1 Message Date
Gael Guennebaud
d142165942 bug #667: declare several critical functions as FORECE_INLINE to make ICC happier. 
<g.gael@free.fr> HG: branch 'default' HG: changed Eigen/src/Core/ArrayBase.h HG: changed Eigen/src/Core/AssignEvaluator.h HG: changed
Eigen/src/Core/CoreEvaluators.h HG: changed Eigen/src/Core/CwiseUnaryOp.h HG: changed Eigen/src/Core/DenseBase.h HG: changed Eigen/src/Core/MatrixBase.h
 2016-01-31 16:34:10 +01:00
Gael Guennebaud
a4e4542b89 Avoid overflow in unit test. 2016-01-30 22:26:17 +01:00
Gael Guennebaud
3ba8a3ab1a Disable underflow unit test on the i387 FPU. 2016-01-30 22:14:04 +01:00
Benoit Steiner
483082ef6e Fixed a few memory leaks in the cuda tests 2016-01-30 11:59:22 -08:00
Benoit Steiner
bd21aba181 Sharded the cxx11_tensor_cuda test and fixed a memory leak 2016-01-30 11:47:09 -08:00
Benoit Steiner
9de155d153 Added a test to cover threaded tensor shuffling 2016-01-30 10:56:47 -08:00
Benoit Steiner
32088c06a1 Made the comparison between single and multithreaded contraction results more resistant to numerical noise to prevent spurious test failures. 2016-01-30 10:51:14 -08:00
Benoit Steiner
2053478c56 Made sure to use a tensor of rank 0 to store the result of a full reduction in the tensor thread pool test 2016-01-30 10:46:36 -08:00
Benoit Steiner
d0db95f730 Sharded the tensor thread pool test 2016-01-30 10:43:57 -08:00
Benoit Steiner
ba27c8a7de Made the CUDA contract test more robust to numerical noise. 2016-01-30 10:28:43 -08:00
Benoit Steiner
4281eb1e2c Added 2 benchmarks to the suite of tensor benchmarks running on GPU 2016-01-30 10:20:43 -08:00
Gael Guennebaud
102fa96a96 Extend doc on dense+sparse 2016-01-30 14:58:21 +01:00
Gael Guennebaud
1bc207c528 backout changeset d4a9e61569 
: the extended SparseView is not needed anymore
 2016-01-30 14:43:21 +01:00
Gael Guennebaud
8ed1553d20 bug #632: implement general coefficient-wise "dense op sparse" operations through specialized evaluators instead of using SparseView. 
This permits to deal with arbitrary storage order, and to by-pass the more complex iterator of the sparse-sparse case.
 2016-01-30 14:39:50 +01:00
Gael Guennebaud
699634890a bug #946: generalize Cholmod::solve to handle any rhs expression 2016-01-29 23:02:22 +01:00
Gael Guennebaud
15084cf1ac bug #632: add support for "dense +/- sparse" operations. The current implementation is based on SparseView to make the dense subexpression compatible with the sparse one. 2016-01-29 22:09:45 +01:00
Gael Guennebaud
d4a9e61569 Extend SparseView to allow keeping explicit zeros. This is equivalent to sparseView(1,-1) but faster because the test is removed at compile-time. 2016-01-29 22:07:56 +01:00
Gael Guennebaud
d8d37349c3 bug #696: enable zero-sized block at compile-time by relaxing the respective assertion 2016-01-29 12:44:49 +01:00
Gael Guennebaud
e8ccc06fe5 merge 2016-01-29 09:40:38 +01:00
Benoit Steiner
963f2d2a8f Marked several methods EIGEN_DEVICE_FUNC 2016-01-28 23:37:48 -08:00
Benoit Steiner
c5d25bf1d0 Fixed a couple of compilation warnings. 2016-01-28 23:15:45 -08:00
Benoit Steiner
e4f83bae5d Fixed the tensor benchmarks on apple devices 2016-01-28 21:08:07 -08:00
Benoit Steiner
10bea90c4a Fixed clang related compilation error 2016-01-28 20:52:08 -08:00
Benoit Steiner
d3f533b395 Fixed compilation warning 2016-01-28 20:09:45 -08:00
Abhijit Kundu
3fde202215 Making ceil() functor generic w.r.t packet type 2016-01-28 21:27:00 -05:00
Benoit Steiner
211d350fc3 Fixed a typo 2016-01-28 17:13:04 -08:00
Benoit Steiner
bd2e5a788a Made sure the number of floating point operations done by a benchmark is computed using 64 bit integers to avoid overflows. 2016-01-28 17:10:40 -08:00
Benoit Steiner
120e13b1b6 Added a readme to explain how to compile the tensor benchmarks. 2016-01-28 17:06:00 -08:00
Benoit Steiner
a68864b6bc Updated the benchmarking code to print the number of flops processed instead of the number of bytes. 2016-01-28 16:51:40 -08:00
Benoit Steiner
8217281ae4 Merge latest updates from trunk 2016-01-28 16:20:53 -08:00
Benoit Steiner
c8d5f21941 Added extra tensor benchmarks 2016-01-28 16:20:36 -08:00
Benoit Steiner
7b3044d086 Made sure to call nvcc with the relaxed-constexpr flag. 2016-01-28 15:36:34 -08:00
Rasmus Munk Larsen
acce4dd050 Change Eigen's ColPivHouseholderQR to use the numerically stable norm downdate formula from http://www.netlib.org/lapack/lawnspdf/lawn176.pdf, which has been used in LAPACK's xGEQPF and xGEQP3 since 2006. With the old formula, the code chooses the wrong pivots and fails to correctly determine rank on graded matrices. 
This change also adds additional checks for non-increasing diagonal in R11 to existing unit tests, and adds a new unit test with the Kahan matrix, which consistently fails for the original code.

Benchmark timings on Intel(R) Xeon(R) CPU E5-1650 v3 @ 3.50GHz. Code compiled with AVX & FMA. I just ran on square matrices of 3 difference sizes.

Benchmark               Time(ns)     CPU(ns) Iterations
-------------------------------------------------------
Before:
BM_EigencolPivQR/64        53677       53627      12890
BM_EigencolPivQR/512    15265408    15250784         46
BM_EigencolPivQR/4k  15403556228 15388788368          2

After (non-vectorized version):
Benchmark               Time(ns)     CPU(ns) Iterations  Degradation
--------------------------------------------------------------------
BM_EigencolPivQR/64        63736       63669      10844         18.5%
BM_EigencolPivQR/512    16052546    16037381         43          5.1%
BM_EigencolPivQR/4k  15149263620 15132025316          2         -2.0%

Performance-wise there seems to be a ~18.5% degradation for small (64x64) matrices, probably due to the cost of more O(min(m,n)^2) sqrt operations that are not needed for the unstable formula.
 2016-01-28 15:07:26 -08:00
Gael Guennebaud
b908e071a8 bug #178: get rid of some const_cast in SparseCore 2016-01-28 22:11:18 +01:00
Gael Guennebaud
c1d900af61 bug #178: remove additional const on nested expression, and remove several const_cast. 2016-01-28 21:43:20 +01:00
Benoit Steiner
12f8bd12a2 Merged in jiayq/eigen (pull request PR-159) 
Modifications to the tensor benchmarks to allow compilation in a standalone fashion.
 2016-01-28 11:28:55 -08:00
Yangqing Jia
270c4e1ecd bugfix 2016-01-28 11:11:45 -08:00
Yangqing Jia
c4e47630b1 benchmark modifications to make it compilable in a standalone fashion. 2016-01-28 10:35:14 -08:00
Gael Guennebaud
f50bb1e6f3 Fix compilation with gcc 2016-01-28 13:25:26 +01:00
Gael Guennebaud
ddf64babde merge 2016-01-28 13:21:48 +01:00
Gael Guennebaud
df15fbc452 bug #1158: PartialReduxExpr is a vector expression, and it thus must expose the LinearAccessBit flag 2016-01-28 13:16:30 +01:00
Gael Guennebaud
9bcadb7fd1 Disable stupid MSVC warning 2016-01-28 12:14:16 +01:00
Gael Guennebaud
b4d87fff4a Fix MSVC warning. 2016-01-28 12:12:30 +01:00
Gael Guennebaud
2bad3e78d9 bug #96, bug #1006: fix by value argument in result_of. 2016-01-28 12:12:06 +01:00
Gael Guennebaud
7802a6bb1c Fix unit test filename. 2016-01-28 09:35:37 +01:00
Benoit Steiner
4bf9eaf77a Deleted an invalid assertion that prevented the assignment of empty tensors. 2016-01-27 17:09:30 -08:00
Benoit Steiner
291069e885 Fixed some compilation problems with nvcc + clang 2016-01-27 15:37:03 -08:00
Benoit Steiner
47ca9dc809 Fixed the tensor_cuda test 2016-01-27 14:58:48 -08:00
Benoit Steiner
55a5204319 Fixed the flags passed to nvcc to compile the tensor code. 2016-01-27 14:46:34 -08:00
Gael Guennebaud
4865e1e732 Update link to suitesparse. 2016-01-27 22:48:40 +01:00