Benoit Steiner
264f8141f8
Shared the tensor reduction test
2016-02-01 07:44:31 -08:00
Benoit Steiner
11bb71c8fc
Sharded the tensor device test
2016-02-01 07:34:59 -08:00
Gael Guennebaud
ff1157bcbf
bug #694 : document that SparseQR::matrixR is not sorted.
2016-02-01 16:09:34 +01:00
Gael Guennebaud
ec469700dc
bug #557 : make InnerIterator of sparse storage types more versatile by adding default-ctor, copy-ctor/assignment
2016-02-01 15:04:33 +01:00
Gael Guennebaud
6e0a86194c
Fix integer path for num_steps==1
2016-02-01 15:00:04 +01:00
Gael Guennebaud
e1d219e5c9
bug #698 : fix linspaced for integer types.
2016-02-01 14:25:34 +01:00
Gael Guennebaud
2c3224924b
Fix warning and replace min/max macros by calls to mini/maxi
2016-02-01 10:23:45 +01:00
Benoit Steiner
e80ed948e1
Fixed a number of compilation warnings generated by the cuda tests
2016-01-31 20:09:41 -08:00
Benoit Steiner
6720b38fbf
Fixed a few compilation warnings
2016-01-31 16:48:50 -08:00
Benoit Steiner
3f1ee45833
Fixed compilation errors triggered by duplicate inline declaration
2016-01-31 10:48:49 -08:00
Benoit Steiner
70be6f6531
Pulled latest changes from trunk
2016-01-31 10:44:45 -08:00
Benoit Steiner
4a2ddfb81d
Sharded the CUDA argmax tensor test
2016-01-31 10:44:15 -08:00
Gael Guennebaud
d142165942
bug #667 : declare several critical functions as FORECE_INLINE to make ICC happier.
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<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
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: 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.
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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.
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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)
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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