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Author SHA1 Message Date
Rasmus Larsen
c1b0aea653 Merged in Artem-B/eigen (pull request PR-654) 
Minor build improvements

Approved-by: Rasmus Larsen <rmlarsen@google.com>
 2019-05-31 22:27:04 +00:00
Rasmus Munk Larsen
b08527b0c1 Clean up CUDA/NVCC version macros and their use in Eigen, and a few other CUDA build failures. 2019-05-31 15:26:06 -07:00
tra
b4c49bf00e Minor build improvements 
* Allow specifying multiple GPU architectures. E.g.:
  cmake -DEIGEN_CUDA_COMPUTE_ARCH="60;70"
* Pass CUDA SDK path to clang. Without it it will default to /usr/local/cuda
which may not be the right location, if cmake was invoked with
-DCUDA_TOOLKIT_ROOT_DIR=/some/other/CUDA/path
 2019-05-31 14:08:34 -07:00
Christoph Hertzberg
4ccd1ece92 bug #1707: Fix deprecation warnings, or disable warnings when testing deprecated functions 2019-05-10 14:57:05 +02:00
Eugene Zhulenev
e9f0eb8a5e Add masked_store_available to unpacket_traits 2019-05-02 14:52:58 -07:00
Eugene Zhulenev
b4010f02f9 Add masked pstoreu to AVX and AVX512 PacketMath 2019-05-02 13:14:18 -07:00
Anuj Rawat
8c7a6feb8e Adding lowlevel APIs for optimized RHS packet load in TensorFlow 
SpatialConvolution

Low-level APIs are added in order to optimized packet load in gemm_pack_rhs
in TensorFlow SpatialConvolution. The optimization is for scenario when a
packet is split across 2 adjacent columns. In this case we read it as two
'partial' packets and then merge these into 1. Currently this only works for
Packet16f (AVX512) and Packet8f (AVX2). We plan to add this for other
packet types (such as Packet8d) also.

This optimization shows significant speedup in SpatialConvolution with
certain parameters. Some examples are below.

Benchmark parameters are specified as:
Batch size, Input dim, Depth, Num of filters, Filter dim

Speedup numbers are specified for number of threads 1, 2, 4, 8, 16.

AVX512:

Parameters                  | Speedup (Num of threads: 1, 2, 4, 8, 16)
----------------------------|------------------------------------------
128,   24x24,  3, 64,   5x5 |2.18X, 2.13X, 1.73X, 1.64X, 1.66X
128,   24x24,  1, 64,   8x8 |2.00X, 1.98X, 1.93X, 1.91X, 1.91X
 32,   24x24,  3, 64,   5x5 |2.26X, 2.14X, 2.17X, 2.22X, 2.33X
128,   24x24,  3, 64,   3x3 |1.51X, 1.45X, 1.45X, 1.67X, 1.57X
 32,   14x14, 24, 64,   5x5 |1.21X, 1.19X, 1.16X, 1.70X, 1.17X
128, 128x128,  3, 96, 11x11 |2.17X, 2.18X, 2.19X, 2.20X, 2.18X

AVX2:

Parameters                  | Speedup (Num of threads: 1, 2, 4, 8, 16)
----------------------------|------------------------------------------
128,   24x24,  3, 64,   5x5 | 1.66X, 1.65X, 1.61X, 1.56X, 1.49X
 32,   24x24,  3, 64,   5x5 | 1.71X, 1.63X, 1.77X, 1.58X, 1.68X
128,   24x24,  1, 64,   5x5 | 1.44X, 1.40X, 1.38X, 1.37X, 1.33X
128,   24x24,  3, 64,   3x3 | 1.68X, 1.63X, 1.58X, 1.56X, 1.62X
128, 128x128,  3, 96, 11x11 | 1.36X, 1.36X, 1.37X, 1.37X, 1.37X

In the higher level benchmark cifar10, we observe a runtime improvement
of around 6% for AVX512 on Intel Skylake server (8 cores).

On lower level PackRhs micro-benchmarks specified in TensorFlow
tensorflow/core/kernels/eigen_spatial_convolutions_test.cc, we observe
the following runtime numbers:

AVX512:

Parameters                                                     | Runtime without patch (ns) | Runtime with patch (ns) | Speedup
---------------------------------------------------------------|----------------------------|-------------------------|---------
BM_RHS_NAME(PackRhs, 128, 24, 24, 3, 64, 5, 5, 1, 1, 256, 56)  |  41350                     | 15073                   | 2.74X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 1, 1, 256, 56)  |   7277                     |  7341                   | 0.99X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 2, 2, 256, 56)  |   8675                     |  8681                   | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 1, 1, 256, 56)  |  24155                     | 16079                   | 1.50X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 2, 2, 256, 56)  |  25052                     | 17152                   | 1.46X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 1, 1, 256, 56) |  18269                     | 18345                   | 1.00X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 2, 4, 256, 56) |  19468                     | 19872                   | 0.98X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 1, 1, 36, 432)   | 156060                     | 42432                   | 3.68X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 2, 2, 36, 432)   | 132701                     | 36944                   | 3.59X

AVX2:

Parameters                                                     | Runtime without patch (ns) | Runtime with patch (ns) | Speedup
---------------------------------------------------------------|----------------------------|-------------------------|---------
BM_RHS_NAME(PackRhs, 128, 24, 24, 3, 64, 5, 5, 1, 1, 256, 56)  | 26233                      | 12393                   | 2.12X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 1, 1, 256, 56)  |  6091                      |  6062                   | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 2, 2, 256, 56)  |  7427                      |  7408                   | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 1, 1, 256, 56)  | 23453                      | 20826                   | 1.13X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 2, 2, 256, 56)  | 23167                      | 22091                   | 1.09X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 1, 1, 256, 56) | 23422                      | 23682                   | 0.99X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 2, 4, 256, 56) | 23165                      | 23663                   | 0.98X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 1, 1, 36, 432)   | 72689                      | 44969                   | 1.62X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 2, 2, 36, 432)   | 61732                      | 39779                   | 1.55X

All benchmarks on Intel Skylake server with 8 cores.
 2019-04-20 06:46:43 +00:00
Gael Guennebaud
48898a988a fix unit test in c++03: c++03 does not allow passing local or anonymous enum as template param 2019-03-18 11:38:36 +01:00
Gael Guennebaud
cf7e2e277f bug #1692: enable enum as sizes of Matrix and Array 2019-03-17 21:59:30 +01:00
David Tellenbach
b013176e52 Remove undefined std::complex<int> 2019-03-14 11:40:28 +01:00
David Tellenbach
97f9a46cb9 PR 593: Add variadtic ctor for DiagonalMatrix with unit tests 2019-03-14 10:18:24 +01:00
Gael Guennebaud
45ab514fe2 revert debug stuff 2019-03-14 10:08:12 +01:00
Gael Guennebaud
d7d2f0680e bug #1684: partially workaround clang's 6/7 bug #40815 2019-03-13 10:40:01 +01:00
Gael Guennebaud
b0d406d91c Enable construction of Ref<VectorType> from a runtime vector. 2019-03-03 15:25:25 +01:00
Gael Guennebaud
32502f3c45 bug #1684: add simplified regression test for respective clang's bug (this also reveal the same bug in Apples's clang) 2019-02-22 10:29:06 +01:00
Gael Guennebaud
2a39659d79 Add fully generic Vector<Type,Size> and RowVector<Type,Size> type aliases. 2019-02-20 15:23:23 +01:00
Gael Guennebaud
44b54fa4a3 Protect c++11 type alias with Eigen's macro, and add respective unit test. 2019-02-20 14:43:05 +01:00
Gael Guennebaud
4e8047cdcf Fix compilation with gcc and remove TR1 stuff. 2019-02-20 13:59:34 +01:00
Gael Guennebaud
edd413c184 bug #1409: make EIGEN_MAKE_ALIGNED_OPERATOR_NEW* macros empty in c++17 mode: 
- this helps clang 5 and 6 to support alignas in STL's containers.
 - this makes the public API of our (and users) classes cleaner
 2019-02-20 13:52:11 +01:00
Gael Guennebaud
3b5deeb546 bug #899: make sparseqr unit test more stable by 1) trying with larger threshold and 2) relax rank computation for rank-deficient problems. 2019-02-19 22:57:51 +01:00
Gael Guennebaud
292d61970a Fix C++17 compilation 2019-02-19 21:59:41 +01:00
Gael Guennebaud
2cfc025bda fix unit compilation in c++17: std::ptr_fun has been removed. 2019-02-19 14:05:22 +01:00
Gael Guennebaud
7d10c78738 bug #1046: add unit tests for correct propagation of alignment through std::alignment_of 2019-02-19 10:31:56 +01:00
Gael Guennebaud
e23bf40dc2 Add unit test for LinSpaced and complex numbers. 2019-02-18 22:03:47 +01:00
Gael Guennebaud
31b6e080a9 Fix regression: .conjugate() was popped out but not re-introduced. 2019-02-18 14:45:55 +01:00
Gael Guennebaud
c69d0d08d0 Set cost of conjugate to 0 (in practice it boils down to a no-op). 
This is also important to make sure that A.conjugate() * B.conjugate() does not evaluate
its arguments into temporaries (e.g., if A and B are fixed and small, or * fall back to lazyProduct)
 2019-02-18 14:43:07 +01:00
Gael Guennebaud
512b74aaa1 GEMM: catch all scalar-multiple variants when falling-back to a coeff-based product. 
Before only s*A*B was caught which was both inconsistent with GEMM, sub-optimal,
and could even lead to compilation-errors (https://stackoverflow.com/questions/54738495).
 2019-02-18 11:47:54 +01:00
Gael Guennebaud
dada863d23 Enable unit tests of PartialPivLU on fixed size matrices, and increase tested matrix size (blocking was not tested!) 2019-02-11 17:56:20 +01:00
Gael Guennebaud
8a06c699d0 bug #1669: fix PartialPivLU/inverse with zero-sized matrices. 2019-01-29 10:27:13 +01:00
Gael Guennebaud
f489f44519 bug #1574: implement "sparse_matrix =,+=,-= diagonal_matrix" with smart insertion strategies of missing diagonal coeffs. 2019-01-28 17:29:50 +01:00
Gael Guennebaud
53560f9186 bug #1672: fix unit test compilation with MSVC by adding overloads of test_is* for long long (and factorize copy/paste code through a macro) 2019-01-28 13:47:28 +01:00
Christoph Hertzberg
934b8a1304 Avoid I as an identifier, since it may clash with the C-header complex.h 2019-01-25 14:54:39 +01:00
Gael Guennebaud
6908ce2a15 More thoroughly check variadic template ctor of fixed-size vectors 2019-01-24 10:24:28 +01:00
David Tellenbach
db152b9ee6 PR 572: Add initializer list constructors to Matrix and Array (include unit tests and doc) 
- {1,2,3,4,5,...} for fixed-size vectors only
- {{1,2,3},{4,5,6}} for the general cases
- {{1,2,3,4,5,....}} is allowed for both row and column-vector
 2019-01-21 16:25:57 +01:00
Gael Guennebaud
543529da6a Add more extensive tests of Array ctors, including {} variants 2019-01-22 15:30:50 +01:00
Gael Guennebaud
d18f49cbb3 Fix compilation of unit tests with gcc and c++17 2019-01-18 11:12:42 +01:00
Christoph Hertzberg
d575505d25 After fixing bug #1557, boostmultiprec_7 failed with NumericalIssue instead of NoConvergence (all that matters here is no Success) 2019-01-17 19:14:07 +01:00
Gael Guennebaud
0fe6b7d687 Make nestByValue works again (broken since 3.3) and add unit tests. 2019-01-17 18:27:25 +01:00
Gael Guennebaud
4b7cf7ff82 Extend reshaped unit tests and remove useless const_cast 2019-01-17 17:35:32 +01:00
Gael Guennebaud
b57c9787b1 Cleanup useless const_cast and add missing broadcast assignment tests 2019-01-17 16:55:42 +01:00
Patrick Peltzer
bba2f05064 Boosttest only available for Boost version >= 1.53.0 2019-01-17 11:54:37 +01:00
Patrick Peltzer
15e53d5d93 PR 567: makes all dense solvers inherit SoverBase (LU,Cholesky,QR,SVD). 
This changeset also includes:
 * add HouseholderSequence::conjugateIf
 * define int as the StorageIndex type for all dense solvers
 * dedicated unit tests, including assertion checking
 * _check_solve_assertion(): this method can be implemented in derived solver classes to implement custom checks
 * CompleteOrthogonalDecompositions: add applyZOnTheLeftInPlace, fix scalar type in applyZAdjointOnTheLeftInPlace(), add missing assertions
 * Cholesky: add missing assertions
 * FullPivHouseholderQR: Corrected Scalar type in _solve_impl()
 * BDCSVD: Unambiguous return type for ternary operator
 * SVDBase: Corrected Scalar type in _solve_impl()
 2019-01-17 01:17:39 +01:00
Gael Guennebaud
7f32109c11 Add conjugateIf<bool> members to DesneBase, TriangularView, SelfadjointView, and make PartialPivLU use it. 2019-01-17 11:33:43 +01:00
Gael Guennebaud
c8e40edac9 Remove Eigen2ToEigen3 migration page (obsolete since 3.3) 2019-01-16 16:27:00 +01:00
Gael Guennebaud
aeffdf909e bug #1617: add unit tests for empty triangular solve. 2019-01-16 15:24:59 +01:00
Gael Guennebaud
502f717980 bug #1646: disable aliasing detection for empty and 1x1 expression 2019-01-16 14:33:45 +01:00
Gael Guennebaud
2b70b2f570 Make Transform::rotation() an alias to Transform::linear() in the case of an Isometry 2019-01-15 22:50:42 +01:00
Gael Guennebaud
6ec6bf0b0d Enable visitor on empty matrices (the visitor is left unchanged), and protect min/maxCoeff(Index*,Index*) on empty matrices by an assertion (+ doc & unit tests) 2019-01-15 15:21:14 +01:00
Gael Guennebaud
027e44ed24 bug #1592: makes partial min/max reductions trigger an assertion on inputs with a zero reduction length (+doc and tests) 2019-01-15 15:13:24 +01:00
Gael Guennebaud
f8bc5cb39e Fix detection of vector-at-time: use Rows/Cols instead of MaxRow/MaxCols. 
This fix VectorXd(n).middleCol(0,0).outerSize() which was equal to 1.
 2019-01-15 15:09:49 +01:00
Gael Guennebaud
32d7232aec fix always true warning with gcc 4.7 2019-01-15 11:18:48 +01:00
Gael Guennebaud
e7d4d4f192 cleanup 2019-01-15 10:51:03 +01:00
Rasmus Larsen
5a59452aae Merged eigen/eigen into default 2019-01-14 10:23:23 -08:00
Gael Guennebaud
61b6eb05fe AVX512 (r)sqrt(double) was mistakenly disabled with clang and others 2019-01-14 17:28:47 +01:00
Greg Coombe
9d988a1e1a Initialize isometric transforms like affine transforms. 
The isometric transform, like the affine transform, has an implicit last
row of [0, 0, 0, 1]. This was not being properly initialized, as verified
by a new test function.
 2019-01-11 23:14:35 -08:00
Gael Guennebaud
f566724023 Fix StorageIndex FIXME in dense LU solvers 2019-01-13 17:54:30 +01:00
Rasmus Munk Larsen
28ba1b2c32 Add support for inverse hyperbolic functions. 
Fix cost of division.
 2019-01-11 17:45:37 -08:00
Rasmus Munk Larsen
fcfced13ed Rename pones -> ptrue. Use _CMP_TRUE_UQ where appropriate. 2019-01-09 17:20:33 -08:00
Rasmus Munk Larsen
8f04442526 Collapsed revision 
* Collapsed revision
* Add packet up "pones". Write pnot(a) as pxor(pones(a), a).
* Collapsed revision
* Simplify a bit.
* Undo useless diffs.
* Fix typo.
 2019-01-09 16:34:23 -08:00
Rasmus Munk Larsen
cb955df9a6 Add packet up "pones". Write pnot(a) as pxor(pones(a), a). 2019-01-09 16:17:08 -08:00
Rasmus Larsen
cb3c059fa4 Merged eigen/eigen into default 2019-01-09 15:04:17 -08:00
Gael Guennebaud
e6b217b8dd bug #1652: implements a much more accurate version of vectorized sin/cos. This new version achieve same speed for SSE/AVX, and is slightly faster with FMA. Guarantees are as follows: 
- no FMA: 1ULP up to 3pi, 2ULP up to sin(25966) and cos(18838), fallback to std::sin/cos for larger inputs
  - FMA: 1ULP up to sin(117435.992) and cos(71476.0625), fallback to std::sin/cos for larger inputs
 2019-01-09 15:25:17 +01:00
Rasmus Munk Larsen
055f0b73db Add support for pcmp_eq and pnot, including for complex types. 2019-01-07 16:53:36 -08:00
Gael Guennebaud
697fba3bb0 Fix unit test 2018-12-27 11:20:47 +01:00
Gael Guennebaud
0f6f75bd8a Implement a faster fix for sin/cos of large entries that also correctly handle INF input. 2018-12-23 17:26:21 +01:00
Gael Guennebaud
38d704def8 Make sure that psin/pcos return number in [-1,1] for large inputs (though sin/cos on large entries is quite useless because it's inaccurate) 2018-12-23 16:13:24 +01:00
Gael Guennebaud
5713fb7feb Fix plog(+INF): it returned ~87 instead of +INF 2018-12-23 15:40:52 +01:00
Gael Guennebaud
cfc70dc13f Add regression test for bug #1174 2018-12-12 18:03:31 +01:00
Gael Guennebaud
2de8da70fd bug #1557: fix RealSchur and EigenSolver for matrices with only zeros on the diagonal. 2018-12-12 17:30:08 +01:00
Gael Guennebaud
72c0bbe2bd Simplify handling of tests that must fail to compile. 
Each test is now a normal ctest target, and build properties (compiler+flags) are preserved (instead of starting a new build-dir from scratch).
 2018-12-12 15:48:36 +01:00
Gael Guennebaud
81c27325ae bug #1641: fix testing of pandnot and fix pandnot for complex on SSE/AVX/AVX512 2018-12-08 14:27:48 +01:00
Gael Guennebaud
cd25b538ab Fix noise in sparse_basic_3 (numerical cancellation) 2018-12-08 00:13:37 +01:00
Gael Guennebaud
efaf03bf96 Fix noise in lu unit test 2018-12-08 00:05:03 +01:00
Gael Guennebaud
aab749b1c3 fix test regarding AVX512 vectorization of complexes. 2018-12-06 16:55:00 +01:00
Gael Guennebaud
c53eececb0 Implement AVX512 vectorization of std::complex<float/double> 2018-12-06 15:58:06 +01:00
Christoph Hertzberg
919414b9fe bug #785: Make Cholesky decomposition work for empty matrices 2018-12-03 16:18:15 +01:00
Gael Guennebaud
69ace742be Several improvements regarding packet-bitwise operations: 
- add unit tests
- optimize their AVX512f implementation
- add missing implementations (half, Packet4f, ...)
 2018-11-30 15:56:08 +01:00
Gael Guennebaud
48fe78c375 bug #1630: fix linspaced when requesting smaller packet size than default one. 2018-11-28 13:15:06 +01:00
Gael Guennebaud
382279eb7f Extend unit test to recursively check half-packet types and non packet types 2018-11-26 14:10:07 +01:00
Gael Guennebaud
e3b22a6bd0 merge 2018-11-23 16:06:21 +01:00
Gael Guennebaud
572d62697d check two ctors 2018-11-23 15:37:09 +01:00
Gael Guennebaud
354f14293b Fix double = bool ! 2018-11-23 15:12:06 +01:00
Christoph Hertzberg
ea60a172cf Add default constructor to Bar to make test compile again with clang-3.8 2018-11-23 14:24:22 +01:00
Gael Guennebaud
c685fe9838 Move regression test to right unit test file 2018-11-21 15:59:47 +01:00
Gael Guennebaud
4b2cebade8 Workaround weird MSVC bug 2018-11-21 15:53:37 +01:00
Gael Guennebaud
43c987b1c1 Add explicit regression test for bug #1622 2018-11-16 11:24:51 +01:00
Mark D Ryan
670d56441c PR 544: Set requestedAlignment correctly for SliceVectorizedTraversals 
Commit aa110e681b
 optimised the multiplication of small dyanmically
sized matrices by restricting the packet size to a maximum of 4, increasing
the chances that SIMD instructions are used in the computation.  However, it
introduced a mismatch between the packet size and the requestedAlignment.  This
mismatch can lead to crashes when the destination is not aligned.  This patch
fixes the issue by ensuring that the AssignmentTraits are correctly computed
when using a restricted packet size.
* * *
Bind LinearPacketType to MaxPacketSize

This commit applies any packet size limit specified when instantiating
copy_using_evaluator_traits to the LinearPacketType, providing that the
size of the destination is not known at compile time.
* * *
Add unit test for restricted packet assignment

A new unit test is added to check that multiplication of small dynamically
sized matrices works correctly when the packet size is restricted to 4 and
the destination is unaligned.
 2018-11-13 16:15:08 +01:00
Gael Guennebaud
784a3f13cf bug #1619: fix mixing of const and non-const generic iterators 2018-11-09 21:45:10 +01:00
Gael Guennebaud
db9a9a12ba bug #1619: make const and non-const iterators compatible 2018-11-09 16:49:19 +01:00
Gael Guennebaud
f62a0f69c6 Fix max-size in indexed-view 2018-11-08 18:40:22 +01:00
Gael Guennebaud
9d318b92c6 add unit tests for bug #1619 2018-11-01 15:14:50 +01:00
Matthieu Vigne
8d7a73e48e bug #1617: Fix SolveTriangular.solveInPlace crashing for empty matrix. 
This made FullPivLU.kernel() crash when used on the zero matrix.
Add unit test for FullPivLU.kernel() on the zero matrix.
 2018-10-31 20:28:18 +01:00
Rasmus Munk Larsen
954b4ca9d0 Suppress compiler warning about unused global variable. 2018-10-22 13:48:56 -07:00
Gael Guennebaud
e3b85771d7 Show call stack in case of failing sparse solving. 2018-10-16 00:43:44 +02:00
Gael Guennebaud
3a33db4de5 merge 2018-10-15 09:22:27 +02:00
Rasmus Munk Larsen
0ed811a9c1 Suppress unused variable compiler warning in sparse subtest 3. 2018-10-12 13:41:57 -07:00
Gael Guennebaud
8214cf1896 Make sparse_basic includable from sparse_extra, but disable it since sparse_basic(DynamicSparseMatrix) does not compile at all anyways 2018-10-11 10:27:23 +02:00
Gael Guennebaud
2ef1b39674 Relaxed fastmath unit test: if std::foo fails, then let's only trigger a warning is numext::foo fails too. 
A true error will triggered only if std::foo works but our numext::foo fails.
 2018-10-11 09:45:30 +02:00
Gael Guennebaud
1d5a6363ea relax numerical tests from equal to approx (x87) 2018-10-11 09:29:56 +02:00
Gael Guennebaud
ce243ee45b bug #520: add diagmat +/- diagmat operators. 2018-10-10 23:38:22 +02:00