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Merge branch eigen:master into master

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Rasmus Munk Larsen
2025-10-04 20:16:42 +00:00
parent b5fde61f28 32b0f386bc
commit 10d10d601b
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# Public License v. 2.0. If a copy of the MPL was not distributed
# with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
default:
# automatically cancels a job when a new pipeline for the same branch is triggered
interruptible: true
stages:
- checkformat
- build

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[patterns]
*.sh = LF
*.MINPACK = CRLF
scripts/*.in = LF
debug/msvc/*.dat = CRLF
debug/msvc/*.natvis = CRLF
unsupported/test/mpreal/*.* = CRLF
** = native
[repository]
native = LF

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## [Unreleased]
## [3.4.0]
## [5.0.0] - 2025-09-30
Released on August 18, 2021
Eigen 5.0 provides many new features, performance enhancements, and bugfixes throughout Eigen’s core template expression infrastructure and linear algebra facilities. The full set of changes and related issues are too large to list here, but can be accessed via the release milestone %"5.0".
This is the last major release to support the C++14 language standard. The master branch and subsequent releases will require support for C++17.
### Versioning
This release marks a transition to [Semantic Versioning](https://semver.org/). Previously, Eigen used a WORLD.MAJOR.MINOR scheme. From now on, version numbers will follow the MAJOR.MINOR.PATCH format, indicating breaking changes, new features, and bug fixes, respectively. The WORLD version will remain 3 for this and subsequent releases for posterity. See the table below:
```
╔═════════╦═════╦═════╗
║ Release ║ 3.4 ║ 5.0 ║
╠═════════╬═════╬═════╣
║ WORLD ║ 3 ║ 3 ║
║ MAJOR ║ 4 ║ 5 ║
║ MINOR ║ 0 ║ 0 ║
║ PATCH ║ - ║ 0 ║
╚═════════╩═════╩═════╝
```
### Breaking changes
* Eigen 5.X.X requires C++14. When building with GNU-compatible compilers, set `-std=c++14` or later. As part of this change, some macros such as `EIGEN_HAS_CXX11` have also been removed.
* The CMake build system has been modernized and older properties have been removed - projects relying on CMake may need to update their configurations [!485].
* All LGPL-licensed code has been removed (i.e. Constrained Conjugate Gradient) [!1197]. These were "unsupported" anyways, and weren't widely used.
* Due to name conflicts with other projects, `Eigen::all` and `Eigen::last` have been moved to `Eigen::placeholders::all` and `Eigen::placeholders::last` [!649].
* Any direct inclusion of an internal header (i.e. under a `../src/..` path) will result in a compilation error [!631].
* Runtime SVD options for computing thin/full U/V have been deprecated: use compile-time options instead [!826].
* Scalar (i.e. non-vectorized) comparisons now return masks with values of `Scalar(1)` rather than having all bits set to avoid undefined behavior [!1862].
* BLAS return types have been changed for Eigen BLAS to `void` instead of `int` for compatibility with other BLAS implementations [!1497].
* `Eigen::aligned_allocator` no longer inherits from `std::allocator` due to a change in the standard and the use of `allocate_at_least` [!1795].
* Euler angles are now returned in a more canonical form, potentially resulting in a change of behavior [!1301, !1314].
* Eigen's random number generation has changed, resulting in a change of behavior. Please do not rely on specific random numbers from Eigen - these were never guaranteed to be consistent across Eigen versions, nor are they generally consistent across platforms [!1437].
## [3.4.1] - 2025-09-30
Many bug fixes have been backported from the main branch.
A list of new issues addressed can be found via the [3.4.1](https://gitlab.com/libeigen/eigen/-/issues?state=all&label_name%5B%5D=3.4.1) label on GitLab.
Check the [git commit history](https://gitlab.com/libeigen/eigen/-/commits/3.4.1) for the full list of changes.
## [3.4.0] - 2021-08-18
**Notice:** 3.4.x will be the last major release series of Eigen that will support c++03.
@@ -160,9 +200,7 @@ Released on August 18, 2021
See the [announcement](https://www.eigen.tuxfamily.org/index.php?title=3.4) for more details.
## [3.3.9]
Released on December 4, 2020.
## [3.3.9] - 2020-12-04
Changes since 3.3.8:
@@ -175,9 +213,7 @@ Changes since 3.3.8:
* #2012: Define coeff-wise binary array operators for base class to fix an issue when using Eigen with C++20
* Commit bfdd4a990: Fix an issue with Intel® MKL PARDISO support.
## [3.3.8]
Released on October 5, 2020.
## [3.3.8] - 2020-10-05
Changes since 3.3.7:
@@ -243,9 +279,7 @@ Changes since 3.3.7:
* Commit 6c4d57dc9: Fix a gcc7 warning about bool * bool in abs2 default implementation.
* Commit 89a86ed42: Fix a warning in SparseSelfAdjointView about a branch statement always evaluation to false.
## [3.3.8-rc1]
Released on September 14, 2020.
## [3.3.8-rc1] - 2020-09-14
Changes since 3.3.7:
@@ -308,17 +342,13 @@ Changes since 3.3.7:
* Commit 89a86ed42: Fix a warning in SparseSelfAdjointView about a branch statement always evaluation to false.
* Commit dd6de618: Fix a bug with half-precision floats on GPUs.
## [3.3.7]
Released on December 11, 2018.
## [3.3.7] - 2018-12-11
Changes since 3.3.6:
* #1643: Fix compilation with GCC>=6 and compiler optimization turned off.
## [3.3.6]
Released on December 10, 2018.
## [3.3.6] - 2018-12-10
Changes since 3.3.5:
@@ -340,9 +370,7 @@ Changes since 3.3.5:
* Various fixes in the doc.
* Various minor warning fixes/workarounds.
## [3.3.5]
Released on July 23, 2018.
## [3.3.5] - 2018-07-23
Changes since 3.3.4:
@@ -436,9 +464,7 @@ Changes since 3.3.4:
* Changeset 12c9ece47d14: `SelfAdjointView<...,Mode>` causes a static assert since commit c73a77e47db8
* Changeset 899fd2ef704f: weird compilation issue in `mapped_matrix.cpp`
## [3.3.4]
Released on June 15, 2017.
## [3.3.4] - 2017-06-15
Changes since 3.3.3:
@@ -469,9 +495,7 @@ Changes since 3.3.3:
* Add specializations of `std::numeric_limits` for `Eigen::half` and and `AutoDiffScalar`
* Fix compilation of streaming nested Array, i.e., `std::cout << Array<Array<...>>`
## [3.3.3]
Released on February 21, 2017.
## [3.3.3] - 2017-02-21
Changes since 3.3.2:
@@ -502,9 +526,7 @@ Changes since 3.3.2:
* Fix usage of `size_t` instead of Index in sefl-adjoint `matrix * vector`
* #1378: fix doc (`DiagonalIndex` vs `Diagonal`).
## [3.3.2]
Released on January 18, 2017.
## [3.3.2] - 2017-01-18
Changes since 3.3.1:
@@ -535,9 +557,7 @@ Changes since 3.3.1:
* Fix some warnings with ICC, Power8, etc.
* Fix compilation with MSVC 2017
## [3.3.1]
Released on December 06, 2016.
## [3.3.1] - 2016-12-06
Changes since 3.3.0:
@@ -558,9 +578,7 @@ Changes since 3.3.0:
* Bugs #1346,#1347: make Eigen's installation relocatable.
* Fix some harmless compilation warnings.
## [3.3]
Released on November 10, 2016
## [3.3] - 2016-11-10
For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).
@@ -569,9 +587,7 @@ Main changes since 3.3-rc2:
* Fix regression in printing sparse expressions.
* Fix sparse solvers when using a SparseVector as the result and/or right-hand-side.
## [3.3-rc2]
Released on November 04, 2016
## [3.3-rc2] - 2016-11-04
For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).
@@ -600,9 +616,7 @@ Main changes since 3.3-rc1:
* SuiteSparse, fix SPQR for rectangular matrices
* Fix compilation of `qr.inverse()` for column and full pivoting variants
## [3.2.10]
Released on October 04, 2016
## [3.2.10] - 2016-10-04
Changes since 3.2.9:
@@ -621,9 +635,7 @@ Main fixes and improvements:
* #1249: disable the use of `__builtin_prefetch` for compilers other than GCC, clang, and ICC.
* #1265: fix doc of QR decompositions
## [3.3-rc1]
Released on September 22, 2016
## [3.3-rc1] - 2016-09-22
For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).
@@ -662,9 +674,7 @@ Main changes since 3.3-beta2:
* Fix vectorization logic for coeff-based product for some corner cases
* Bugs #1260, #1261, #1264: several fixes in AutoDiffScalar.
## [3.3-beta2]
Released on July 26, 2016
## [3.3-beta2] - 2016-08-26
For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).
@@ -800,9 +810,7 @@ Main changes since 3.3-beta1:
* #1249: fix compilation with compilers that do not support `__builtin_prefetch` .
* #1250: fix `pow()` for `AutoDiffScalar` with custom nested scalar type.
## [3.2.9]
Released on July 18, 2016
## [3.2.9] - 2016-08-18
Changes since 3.2.8:
@@ -836,9 +844,7 @@ Changes since 3.2.8:
* #1221: shutdown some GCC6's warnings.
* #1175: fix index type conversion warnings in sparse to dense conversion.
## [3.2.8]
Released on February 16, 2016
## [3.2.8] - 2016-02-16
Changes since 3.2.7:
@@ -869,9 +875,7 @@ Changes since 3.2.7:
* Some warning fixes.
* Several other documentation clarifications.
## [3.3-beta1]
Released on December 16, 2015
## [3.3-beta1] - 2015-12-16
For a comprehensive list of change since the 3.2 series, see this [page](https://www.eigen.tuxfamily.org/index.php?title=3.3).
@@ -938,9 +942,7 @@ Main changes since 3.3-alpha1:
* Fix ICE with VC2015 Update1.
* Improve cmake install scripts.
## [3.2.7]
Released on November 5, 2015
## [3.2.7] - 2015-11-05
Changes since 3.2.6:
@@ -966,9 +968,7 @@ Changes since 3.2.6:
* unsupported/ArpackSupport is now properly installed by make install.
* #1080: warning fixes
## [3.2.6]
Released on October 1, 2015
## [3.2.6] - 2015-10-01
Changes since 3.2.5:
@@ -984,15 +984,11 @@ Changes since 3.2.5:
* MKL: fix support for the 11.2 version, and fix a naming conflict (#1067)
* #1033: explicit type conversion from 0 to RealScalar
## [3.3-alpha1]
Released on September 4, 2015
## [3.3-alpha1] - 2015-09-04
See the [announcement](https://www.eigen.tuxfamily.org/index.php?title=3.3).
## [3.2.5]
Released on June 16, 2015
## [3.2.5] - 2015-06-16
Changes since 3.2.4:
@@ -1036,9 +1032,7 @@ Changes since 3.2.4:
* #1012: enable alloca on Mac OS or if alloca is defined as macro
* Doc and build system: #733, #914, #952, #961, #999
## [3.2.4]
Released on January 21, 2015
## [3.2.4] - 2015-01-21
Changes since 3.2.3:
@@ -1047,9 +1041,7 @@ Changes since 3.2.3:
* #921: fix utilization of bitwise operation on enums in `first_aligned`.
* Fix compilation with NEON on some platforms.
## [3.2.3]
Released on December 16, 2014
## [3.2.3] - 2014-12-16
Changes since 3.2.2:
@@ -1088,9 +1080,7 @@ Changes since 3.2.2:
* #861: enable posix_memalign with PGI.
* Fix BiCGSTAB doc example.
## [3.2.2]
Released on August 4, 2014
## [3.2.2] - 2014-08-04
Changes since 3.2.1:
@@ -1134,9 +1124,7 @@ Changes since 3.2.1:
* #632: doc: Note that `dm2 = sm1 + dm1` is not possible
* Extend AsciiQuickReference (real, imag, conjugate, rot90)
## [3.2.1]
Released on February 26, 2014
## [3.2.1] - 2014-02-26
Changes since 3.2.0:
@@ -1181,9 +1169,7 @@ Changes since 3.2.0:
* Fix a few compiler warnings (bug #317 and more).
* Documentation fixes (bugs #609, #638 and #739 and more).
## [3.1.4]
Released on August 02, 2013
## [3.1.4] - 2013-08-02
Changes since 3.1.3:
@@ -1196,18 +1182,14 @@ Changes since 3.1.3:
* Fix a few warnings and compilation issues with recent compiler versions.
* Documentation fixes.
## [3.0.7]
Released on August 02, 2013
## [3.0.7] - 2013-08-02
Changes since 3.0.6:
* Fix traits of `Map<Quaternion>`.
* Fix a few warnings (#507) and documentation (#531).
## [3.2.0]
Released on July 24, 2013.
## [3.2.0] - 2013-07-24
Major new features and optimizations since 3.1:
@@ -1234,18 +1216,14 @@ Major new features and optimizations since 3.1:
Eigen 3.2 represents about 600 commits since Eigen 3.1.
## [3.2-rc2]
Released on July 19, 2013.
## [3.2-rc2] - 2013-07-19
Changes since 3.2-rc1:
* Rename `DenseBase::isFinite()` to `allFinite()` to avoid a future naming collision.
* Fix an ICE with ICC 11.1.
## [3.2-rc1]
Released on July 17, 2013.
## [3.2-rc1] - 2013-07-17
Main changes since 3.2-beta1:
* New features:
@@ -1290,9 +1268,7 @@ Main changes since 3.2-beta1:
* Fix many warnings and compilation issues with recent compiler versions.
* Many other fixes including #230, #482, #542, #561, #564, #565, #566, #578, #581, #595, #597, #598, #599, #605, #606, #615.
## [3.1.3]
Released on April 16, 2013
## [3.1.3] - 2013-04-16
Changes since 3.1.2:
@@ -1310,9 +1286,7 @@ Changes since 3.1.2:
* Enable SSE with ICC even when it mimics a gcc version lower than 4.2
* Workaround [gcc-4.7 bug #53900](http://gcc.gnu.org/bugzilla/show_bug.cgi?id=53900) (too aggressive optimization in our alignment check)
## [3.2-beta1]
Released on March 07, 2013
## [3.2-beta1] - 2013-03-07
Main changes since 3.1:
@@ -1338,9 +1312,7 @@ Main changes since 3.1:
* New compilation token `EIGEN_INITIALIZE_MATRICES_BY_NAN` to help debugging.
* All bug fixes of the 3.1 branch, plus a couple of other fixes (including 211, 479, 496, 508, 552)
## [3.1.2]
Released on Nov 05, 2012
## [3.1.2] - 2012-11-05
Changes since 3.1.1:
@@ -1364,9 +1336,7 @@ Changes since 3.1.1:
* Remove stupid assert in blue norm.
* Workaround a weird compilation error with MSVC.
## [3.1.1]
Released on July 22, 2012
## [3.1.1] - 2012-07-22
Changes since 3.1.0:
* [relicense to MPL2](https://www.eigen.tuxfamily.org/index.php?title=Main_Page#License)
@@ -1382,9 +1352,7 @@ Changes since 3.1.0:
* Fixed Geometry module compilation under MSVC
* Fixed Sparse module compilation under MSVC 2005
## [3.0.6]
Released on July 9, 2012
## [3.0.6] - 2012-07-09
Changes since 3.0.5:
* #447 - fix infinite recursion in `ProductBase::coeff()`
@@ -1404,9 +1372,7 @@ Changes since 3.0.5:
* Fix typo in NumericalDiff (unsupported module)
* Fix LevenbergMarquart for non double scalar type (unsupported module)
## [3.1.0]
Released on June 24, 2012.
## [3.1.0] - 2012-06-24
Major changes between Eigen 3.0 and Eigen 3.1:
* New features
@@ -1429,9 +1395,7 @@ Major changes between Eigen 3.0 and Eigen 3.1:
Eigen 3.1 represents about 600 commits since Eigen 3.0.
## [3.1.0-rc2]
Released on June 21, 2012.
## [3.1.0-rc2] - 2012-06-21
Changes since 3.1.0-rc1:
* Fix a couple of compilation warnings
@@ -1440,9 +1404,7 @@ Changes since 3.1.0-rc1:
* #466: `RealSchur` failed on a zero matrix
* Update Adolc and MPReal support modules
## [3.1.0-rc1]
Released on June 14, 2012
## [3.1.0-rc1] - 2012-06-14
Main changes since 3.1.0-beta1:
* #466: fix a possible race condition issue. from now, multithreaded applications that call Eigen from multiple thread must initialize Eigen by calling `initParallel()`.
@@ -1454,9 +1416,7 @@ Main changes since 3.1.0-beta1:
* Fix ambiguous calls in the math functors
* Fix BTL interface.
## [3.1.0-beta1]
Released on June 7, 2012
## [3.1.0-beta1] - 2012-06-07
Main changes since 3.1.0-alpha2:
* **API changes**
@@ -1487,9 +1447,7 @@ Main changes since 3.1.0-alpha2:
* New tutorial page on Map
* and many other bug fixes such as: #417, #419, #450
## [3.0.5]
Released February 10, 2012
## [3.0.5] - 2012-02-10
Changes since 3.0.4:
* #417 - fix nesting of `Map` expressions
@@ -1503,9 +1461,7 @@ Changes since 3.0.4:
* Changeset 4432 - fix asserts in eigenvalue decompositions
* Changeset 4416 - fix MSVC integer overflow warning
## [3.1.0-alpha2]
Released February 6, 2012
## [3.1.0-alpha2] - 2012-02-06
Main changes since 3.0.1-alpha1:
* New optional support for Intel MKL and other BLAS including: ([details](http://eigen.tuxfamily.org/dox-devel/TopicUsingIntelMKL.html))
@@ -1532,9 +1488,7 @@ Main changes since 3.0.1-alpha1:
* and many other bug fixes such as: #406, #410, #398, #396, #394, #354, #352, #301,
## [3.1.0-alpha1]
Released December 6, 2011
## [3.1.0-alpha1] - 2011-12-06
Main changes since 3.0:
* Officially supported set of sparse modules. See this [page](http://eigen.tuxfamily.org/dox-devel/TutorialSparse.html) for an overview of the features. Main changes:
@@ -1555,10 +1509,7 @@ Main changes since 3.0:
* All the fixes and improvements of the 3.0 branch up to the 3.0.4 release (see below)
## [3.0.4]
Released December 6, 2011
## [3.0.4] - 2011-12-06
Changes since 3.0.3:
@@ -1572,9 +1523,7 @@ Changes since 3.0.3:
* Fix compilation issue with `QuaternionBase::cast`
## [2.0.17]
Released December 6, 2011
## [2.0.17] - 2011-12-06
Changes since 2.0.16:
@@ -1582,9 +1531,7 @@ Changes since 2.0.16:
* Fix a typo in ParametrizedLine documentation
## [3.0.3]
Released October 6, 2011
## [3.0.3] - 2011-10-06
Changes since 3.0.2:
@@ -1596,9 +1543,7 @@ Changes since 3.0.2:
* Several improvements to the documentation.
## [3.0.2]
Released August 26, 2011
## [3.0.2] - 2011-08-26
Changes since 3.0.1:
@@ -1615,9 +1560,7 @@ Changes since 3.0.1:
* fix a few documentation issues.
## [3.0.1]
Released May 30, 2011
## [3.0.1] - 2011-05-30
Changes since 3.0.0:
@@ -1634,9 +1577,7 @@ Changes since 3.0.0:
* Fix Qt support in Transform.
* Improved documentation.
## [2.0.16]
Released May 28, 2011
## [2.0.16] - 2011-05-28
Changes since 2.0.15:
@@ -1647,18 +1588,16 @@ Changes since 2.0.15:
* New feature: support for `part<SelfAdjoint>`.
* Fix bug in SparseLU::setOrderingMethod.
## [3.0.0]
## [3.0.0] - 2011-03-19
Released March 19, 2011, at the [meeting](https://www.eigen.tuxfamily.org/index.php?title=Paris_2011_Meeting).
Released at the [meeting](https://www.eigen.tuxfamily.org/index.php?title=Paris_2011_Meeting).
See the [Eigen 3.0 release notes](https://www.eigen.tuxfamily.org/index.php?title=3.0).
Only change since 3.0-rc1:
* Fixed compilation of the unsupported 'openglsupport' test.
## [3.0-rc1]
Released March 14, 2011.
## [3.0-rc1] - 2011-03-14
Main changes since 3.0-beta4:
@@ -1677,9 +1616,7 @@ Main changes since 3.0-beta4:
* more compiler warnings fixes
* fixed GDB pretty-printer for dynamic-size matrices (#210)
## [3.0-beta4]
Released February 28, 2011.
## [3.0-beta4] - 2011-02-28
Main changes since 3.0-beta3:
@@ -1715,9 +1652,7 @@ Main changes since 3.0-beta3:
* misc documentation improvements
* improve documentation of plugins
## [3.0-beta3]
Released February 12, 2011.
## [3.0-beta3] - 2011-02-12
The biggest news is that the API is now **100% stable**.
@@ -1763,9 +1698,7 @@ Main changes since 3.0-beta2:
* imported a copy of the Eigen 2 test suite, made sure that Eigen 3 passes it. That also allowed to fix several issues.
## [3.0-beta2]
Released October 15, 2010.
## [3.0-beta2] - 2010-10-15
Main changes since 3.0-beta1:
@@ -1790,9 +1723,7 @@ Main changes since 3.0-beta1:
* Remove the Taucs backend (obsolete).
* Remove the old SVD class (was causing too much troubles, a new decompozition based on bidiagonalisation/householder should come back soon, `JacobiSVD` can be used meanwhile).
## [2.0.15]
Released July 16, 2010
## [2.0.15] - 2010-07-16
Changes since 2.0.14:
@@ -1803,15 +1734,11 @@ Changes since 2.0.14:
* Fix for ICC in SSE code.
* Fix some C++ issues found by Clang (patch by Nick Lewycky).
## [3.0-beta1]
Released July 5, 2010
## [3.0-beta1] - 2010-07-05
See the [announcement](https://www.eigen.tuxfamily.org/index.php?title=3.0).
## [2.0.14]
Released June 22, 2010
## [2.0.14] - 2010-06-22
Changes since 2.0.13:
@@ -1819,9 +1746,7 @@ Changes since 2.0.13:
* Fix #142: LU of fixed-size matrices was causing dynamic memory allocation (patch by Stuart Glaser).
* Fix #127: remove useless static keywords (also fixes warnings with clang++).
## [2.0.13]
Released June 10, 2010
## [2.0.13] - 2010-06-10
Changes since 2.0.12:
@@ -1836,9 +1761,7 @@ Changes since 2.0.12:
* Fix compilation of the BTL benchmarks.
* Some dox updates.
## [2.0.12]
Released February 12, 2010
## [2.0.12] - 2010-02-12
Changes since 2.0.11:
@@ -1854,9 +1777,7 @@ Changes since 2.0.11:
* Backport improvements to benchmarking code.
* Documentation fixes
## [2.0.11]
Released January 10, 2010
## [2.0.11] - 2010-01-10
Changes since 2.0.10:
@@ -1869,9 +1790,7 @@ Changes since 2.0.10:
* Fix MSVC 2010 compatibility.
* Some documentation improvements.
## [2.0.10]
Released November 25, 2009
## [2.0.10] - 2009-11-25
Changes since 2.0.9:
@@ -1887,27 +1806,21 @@ Changes since 2.0.9:
* fix compilation with MSVC 2010
* adjust to repository name change
## [2.0.9]
Released October 24, 2009
## [2.0.9] - 2009-10-24
Changes since 2.0.8:
* Really fix installation and the pkg-config file.
* Install the `NewStdVector` header that was introduced in 2.0.6.
## [2.0.8]
Released October 23, 2009
## [2.0.8] - 2009-10-23
Changes since 2.0.7:
* fix installation error introduced in 2.0.7: it was choking on the pkg-config file eigen2.pc not being found. The fix had been proposed long ago by Ingmar Vanhassel for the development branch, and when recently the pkg-config support was back-ported to the 2.0 branch, nobody thought of backporting this fix too, and apparently nobody tested "make install" !
* SVD: add default constructor. Users were relying on the compiler to generate one, and apparenty 2.0.7 triggered a little MSVC 2008 subtlety in this respect. Also added an assert.
## [2.0.7]
Released October 22, 2009
## [2.0.7] - 2009-10-22
Changes since 2.0.6:
@@ -1922,9 +1835,7 @@ Changes since 2.0.6:
* add pkg-config support by Rhys Ulerich.
* documentation fix and doc-generation-script updates by Thomas Capricelli
## [2.0.6]
Released September 23, 2009
## [2.0.6] - 2009-09-23
Changes since 2.0.5:
@@ -1938,9 +1849,7 @@ Changes since 2.0.5:
* fix a warning in `ei_aligned_malloc`; fixed by backporting the body from the devel branch; may result in a different choice of system aligned malloc function.
* update the documentation.
## [2.0.5]
Released August 22, 2009
## [2.0.5] - 2009-08-22
Changes since 2.0.4:
@@ -1959,9 +1868,7 @@ Changes since 2.0.4:
* fix the option to build a binary library, although it's not very useful and will be removed
* add basic .hgignore file and script to build the docs (thanks to Thomas Capricelli)
## [2.0.4]
Released August 1, 2009
## [2.0.4] - 2009-08-01
Changes since 2.0.3:
* Several fixes in the overloaded new and delete operators. Thanks to Hauke Heibel.
@@ -1975,9 +1882,7 @@ Changes since 2.0.3:
* several ctest improvements: use our own dashboard, use a separate project for the 2.0 branch.
* documentation: improvement on the pages on unaligned arrays (the online copies have been updated immediately).
## [2.0.3]
Released June 21, 2009
## [2.0.3] - 2009-06-21
Changes since 2.0.2:
* precision and reliability fixes in various algorithms, especially LLT, QR, Tridiagonalization, and also a precision improvement in LU.
@@ -1987,9 +1892,7 @@ Changes since 2.0.2:
* backport documentation improvements on transpose() and adjoint()
* updates in the Sparse module (was needed to support KDE 4.3)
## [2.0.2]
Released May 22, 2009
## [2.0.2] - 2009-05-22
Changes since 2.0.1:
* Fix `linearRegression()` compilation, actually it is reimplemented using the better fitHyperplane() which does total least-squares.
@@ -1999,9 +1902,7 @@ Changes since 2.0.1:
* Fix compatibility with the old GCC 3.3: it is now fully supported again.
* Fix warnings with recent GCC (4.4.0 and 4.3.3).
## [2.0.1]
Released April 14, 2009
## [2.0.1] - 2009-04-14
Changes since 2.0.0:
* disable alignment altogether on exotic platforms on which we don't vectorize anyway. This allows e.g. to use Eigen on ARM platforms.
@@ -2014,6 +1915,6 @@ Changes since 2.0.0:
* fix wrong static assertion (patch by Markus Moll)
* add missing operators in `aligned_allocator` (thanks to Hauke Heibel)
## [2.0.0]
## [2.0.0] - 2009-02-02
Released February 2, 2009
First public release.

23
CMakeLists.txt
View File

@@ -255,25 +255,10 @@ if(EIGEN_BUILD_CMAKE_PACKAGE)
NO_CHECK_REQUIRED_COMPONENTS_MACRO # Eigen does not provide components
)
# NOTE Remove the first code path once the minimum required CMake version is
# bumped to 3.14 or above.
if (CMAKE_VERSION VERSION_LESS 3.14)
# Remove CMAKE_SIZEOF_VOID_P from Eigen3ConfigVersion.cmake since Eigen does
# not depend on architecture specific settings or libraries. More
# specifically, an Eigen3Config.cmake generated from a 64 bit target can be
# used for 32 bit targets as well (and vice versa).
set (_Eigen3_CMAKE_SIZEOF_VOID_P ${CMAKE_SIZEOF_VOID_P})
unset (CMAKE_SIZEOF_VOID_P)
write_basic_package_version_file (Eigen3ConfigVersion.cmake
VERSION ${EIGEN_VERSION_NUMBER}
COMPATIBILITY SameMajorVersion)
set (CMAKE_SIZEOF_VOID_P ${_Eigen3_CMAKE_SIZEOF_VOID_P})
else (CMAKE_VERSION VERSION_LESS 3.14)
write_basic_package_version_file (Eigen3ConfigVersion.cmake
VERSION ${EIGEN_VERSION_NUMBER}
COMPATIBILITY SameMajorVersion
ARCH_INDEPENDENT)
endif (CMAKE_VERSION VERSION_LESS 3.14)
set(CVF_VERSION "${EIGEN_VERSION_NUMBER}")
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/cmake/Eigen3ConfigVersion.cmake.in"
"Eigen3ConfigVersion.cmake"
@ONLY)
# The Eigen target will be located in the Eigen3 namespace. Other CMake
# targets can refer to it using Eigen3::Eigen.

4
Eigen/Version
View File

@@ -6,9 +6,9 @@
// As of Eigen3 5.0.0, we have moved to Semantic Versioning (semver.org).
#define EIGEN_MAJOR_VERSION 5
#define EIGEN_MINOR_VERSION 0
#define EIGEN_PATCH_VERSION 0
#define EIGEN_PATCH_VERSION 1
#define EIGEN_PRERELEASE_VERSION "dev"
#define EIGEN_BUILD_VERSION "master"
#define EIGEN_VERSION_STRING "5.0.0-dev+master"
#define EIGEN_VERSION_STRING "5.0.1-dev+master"
#endif // EIGEN_VERSION_H

27
Eigen/src/Core/CoreEvaluators.h
View File

@@ -1048,22 +1048,33 @@ struct ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3>, IndexBased
Data m_d;
};
// specialization for expressions like (a < b).select(c, d) to enable full vectorization
template <typename Arg1, typename Arg2, typename Scalar, typename CmpLhsType, typename CmpRhsType, ComparisonName cmp>
struct evaluator<CwiseTernaryOp<scalar_boolean_select_op<Scalar, Scalar, bool>, Arg1, Arg2,
CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, false>, CmpLhsType, CmpRhsType>>>
: public ternary_evaluator<
CwiseTernaryOp<scalar_boolean_select_op<Scalar, Scalar, Scalar>, Arg1, Arg2,
CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, true>, CmpLhsType, CmpRhsType>>> {
struct scalar_boolean_select_spec {
using DummyTernaryOp = scalar_boolean_select_op<Scalar, Scalar, bool>;
using DummyArg3 = CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, false>, CmpLhsType, CmpRhsType>;
using DummyXprType = CwiseTernaryOp<DummyTernaryOp, Arg1, Arg2, DummyArg3>;
using TernaryOp = scalar_boolean_select_op<Scalar, Scalar, Scalar>;
using Arg3 = CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, true>, CmpLhsType, CmpRhsType>;
// only use the typed comparison if it is vectorized
static constexpr bool UseTyped = functor_traits<scalar_cmp_op<Scalar, Scalar, cmp, true>>::PacketAccess;
using CondScalar = std::conditional_t<UseTyped, Scalar, bool>;
using TernaryOp = scalar_boolean_select_op<Scalar, Scalar, CondScalar>;
using Arg3 = CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, UseTyped>, CmpLhsType, CmpRhsType>;
using XprType = CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3>;
using Base = ternary_evaluator<XprType>;
};
// specialization for expressions like (a < b).select(c, d) to enable full vectorization
template <typename Arg1, typename Arg2, typename Scalar, typename CmpLhsType, typename CmpRhsType, ComparisonName cmp>
struct evaluator<CwiseTernaryOp<scalar_boolean_select_op<Scalar, Scalar, bool>, Arg1, Arg2,
CwiseBinaryOp<scalar_cmp_op<Scalar, Scalar, cmp, false>, CmpLhsType, CmpRhsType>>>
: public scalar_boolean_select_spec<Arg1, Arg2, Scalar, CmpLhsType, CmpRhsType, cmp>::Base {
using Helper = scalar_boolean_select_spec<Arg1, Arg2, Scalar, CmpLhsType, CmpRhsType, cmp>;
using Base = typename Helper::Base;
using DummyXprType = typename Helper::DummyXprType;
using Arg3 = typename Helper::Arg3;
using XprType = typename Helper::XprType;
EIGEN_DEVICE_FUNC explicit evaluator(const DummyXprType& xpr)
: Base(XprType(xpr.arg1(), xpr.arg2(), Arg3(xpr.arg3().lhs(), xpr.arg3().rhs()))) {}

8
Eigen/src/Core/Fill.h
View File

@@ -115,17 +115,15 @@ struct eigen_zero_impl<Xpr, /*use_memset*/ false> {
template <typename Xpr>
struct eigen_zero_impl<Xpr, /*use_memset*/ true> {
using Scalar = typename Xpr::Scalar;
static constexpr size_t max_bytes = (std::numeric_limits<std::ptrdiff_t>::max)();
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Xpr& dst) {
const size_t num_bytes = dst.size() * sizeof(Scalar);
if (num_bytes == 0) return;
const std::ptrdiff_t num_bytes = dst.size() * static_cast<std::ptrdiff_t>(sizeof(Scalar));
if (num_bytes <= 0) return;
void* dst_ptr = static_cast<void*>(dst.data());
#ifndef EIGEN_NO_DEBUG
if (num_bytes > max_bytes) throw_std_bad_alloc();
eigen_assert((dst_ptr != nullptr) && "null pointer dereference error!");
#endif
EIGEN_USING_STD(memset);
memset(dst_ptr, 0, num_bytes);
memset(dst_ptr, 0, static_cast<std::size_t>(num_bytes));
}
template <typename SrcXpr>
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Xpr& dst, const SrcXpr& src) {

50
Eigen/src/Core/GenericPacketMath.h
View File

@@ -65,7 +65,7 @@ struct default_packet_traits {
HasAbsDiff = 0,
HasBlend = 0,
// This flag is used to indicate whether packet comparison is supported.
// pcmp_eq, pcmp_lt and pcmp_le should be defined for it to be true.
// pcmp_eq and pcmp_lt should be defined for it to be true.
HasCmp = 0,
HasDiv = 0,
@@ -432,30 +432,6 @@ EIGEN_DEVICE_FUNC inline Packet pzero(const Packet& a) {
return pzero_impl<Packet>::run(a);
}
/** \internal \returns a <= b as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_le(const Packet& a, const Packet& b) {
return a <= b ? ptrue(a) : pzero(a);
}
/** \internal \returns a < b as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_lt(const Packet& a, const Packet& b) {
return a < b ? ptrue(a) : pzero(a);
}
/** \internal \returns a == b as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_eq(const Packet& a, const Packet& b) {
return a == b ? ptrue(a) : pzero(a);
}
/** \internal \returns a < b or a==NaN or b==NaN as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_lt_or_nan(const Packet& a, const Packet& b) {
return a >= b ? pzero(a) : ptrue(a);
}
template <typename T>
struct bit_and {
EIGEN_DEVICE_FUNC constexpr EIGEN_ALWAYS_INLINE T operator()(const T& a, const T& b) const { return a & b; }
@@ -582,6 +558,30 @@ EIGEN_DEVICE_FUNC inline Packet pandnot(const Packet& a, const Packet& b) {
return pand(a, pnot(b));
}
/** \internal \returns a < b as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_lt(const Packet& a, const Packet& b) {
return a < b ? ptrue(a) : pzero(a);
}
/** \internal \returns a == b as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_eq(const Packet& a, const Packet& b) {
return a == b ? ptrue(a) : pzero(a);
}
/** \internal \returns a <= b as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_le(const Packet& a, const Packet& b) {
return por(pcmp_eq(a, b), pcmp_lt(a, b));
}
/** \internal \returns a < b or a==NaN or b==NaN as a bit mask */
template <typename Packet>
EIGEN_DEVICE_FUNC inline Packet pcmp_lt_or_nan(const Packet& a, const Packet& b) {
return a >= b ? pzero(a) : ptrue(a);
}
// In the general case, use bitwise select.
template <typename Packet, bool is_scalar = is_scalar<Packet>::value>
struct pselect_impl {

3
Eigen/src/Core/PermutationMatrix.h
View File

@@ -109,6 +109,9 @@ class PermutationBase : public EigenBase<Derived> {
*/
DenseMatrixType toDenseMatrix() const { return derived(); }
/** \returns the plain matrix representation of the permutation. */
DenseMatrixType eval() const { return toDenseMatrix(); }
/** const version of indices(). */
const IndicesType& indices() const { return derived().indices(); }
/** \returns a reference to the stored array representing the permutation. */

16
Eigen/src/Core/ProductEvaluators.h
View File

@@ -1264,6 +1264,22 @@ struct generic_product_impl<Lhs, Rhs, SkewSymmetricShape, SkewSymmetricShape, Pr
}
};
template <typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
struct generic_product_impl<Lhs, Rhs, MatrixShape, HomogeneousShape, ProductTag>
: generic_product_impl<Lhs, typename Rhs::PlainObject, MatrixShape, DenseShape, ProductTag> {};
template <typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
struct generic_product_impl<Lhs, Rhs, HomogeneousShape, MatrixShape, ProductTag>
: generic_product_impl<typename Lhs::PlainObject, Rhs, DenseShape, MatrixShape, ProductTag> {};
template <typename Lhs, typename Rhs, int ProductTag>
struct generic_product_impl<Lhs, Rhs, PermutationShape, HomogeneousShape, ProductTag>
: generic_product_impl<Lhs, Rhs, PermutationShape, DenseShape, ProductTag> {};
template <typename Lhs, typename Rhs, int ProductTag>
struct generic_product_impl<Lhs, Rhs, HomogeneousShape, PermutationShape, ProductTag>
: generic_product_impl<Lhs, Rhs, DenseShape, PermutationShape, ProductTag> {};
} // end namespace internal
} // end namespace Eigen

8
Eigen/src/Core/arch/SSE/PacketMath.h
View File

@@ -934,7 +934,11 @@ EIGEN_STRONG_INLINE Packet4i pcmp_eq(const Packet4i& a, const Packet4i& b) {
}
template <>
EIGEN_STRONG_INLINE Packet4i pcmp_le(const Packet4i& a, const Packet4i& b) {
#ifdef EIGEN_VECTORIZE_SSE4_1
return _mm_cmpeq_epi32(a, _mm_min_epi32(a, b));
#else
return por(pcmp_lt(a, b), pcmp_eq(a, b));
#endif
}
template <>
EIGEN_STRONG_INLINE Packet2l pcmp_lt(const Packet2l& a, const Packet2l& b) {
@@ -970,10 +974,6 @@ EIGEN_STRONG_INLINE Packet16b pcmp_eq(const Packet16b& a, const Packet16b& b) {
return _mm_and_si128(_mm_cmpeq_epi8(a, b), kBoolMask);
}
template <>
EIGEN_STRONG_INLINE Packet16b pcmp_le(const Packet16b& a, const Packet16b& b) {
return por(pcmp_lt(a, b), pcmp_eq(a, b));
}
template <>
EIGEN_STRONG_INLINE Packet4ui pcmp_eq(const Packet4ui& a, const Packet4ui& b) {
return _mm_cmpeq_epi32(a, b);
}

25
Eigen/src/Core/functors/BinaryFunctors.h
View File

@@ -207,20 +207,9 @@ struct functor_traits<scalar_cmp_op<LhsScalar, RhsScalar, cmp, UseTypedComparato
};
};
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct typed_cmp_helper {
static constexpr bool SameType = is_same<LhsScalar, RhsScalar>::value;
static constexpr bool IsNumeric = is_arithmetic<typename NumTraits<LhsScalar>::Real>::value;
static constexpr bool UseTyped = UseTypedComparators && SameType && IsNumeric;
using type = typename conditional<UseTyped, LhsScalar, bool>::type;
};
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
using cmp_return_t = typename typed_cmp_helper<LhsScalar, RhsScalar, UseTypedComparators>::type;
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_EQ, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return a == b ? result_type(1) : result_type(0);
}
@@ -233,7 +222,7 @@ struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_EQ, UseTypedComparators> : binary
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_LT, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return a < b ? result_type(1) : result_type(0);
}
@@ -246,7 +235,7 @@ struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_LT, UseTypedComparators> : binary
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_LE, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return a <= b ? result_type(1) : result_type(0);
}
@@ -259,7 +248,7 @@ struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_LE, UseTypedComparators> : binary
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_GT, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return a > b ? result_type(1) : result_type(0);
}
@@ -272,7 +261,7 @@ struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_GT, UseTypedComparators> : binary
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_GE, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return a >= b ? result_type(1) : result_type(0);
}
@@ -285,7 +274,7 @@ struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_GE, UseTypedComparators> : binary
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_UNORD, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return !(a <= b || b <= a) ? result_type(1) : result_type(0);
}
@@ -298,7 +287,7 @@ struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_UNORD, UseTypedComparators> : bin
template <typename LhsScalar, typename RhsScalar, bool UseTypedComparators>
struct scalar_cmp_op<LhsScalar, RhsScalar, cmp_NEQ, UseTypedComparators> : binary_op_base<LhsScalar, RhsScalar> {
using result_type = cmp_return_t<LhsScalar, RhsScalar, UseTypedComparators>;
using result_type = std::conditional_t<UseTypedComparators, LhsScalar, bool>;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator()(const LhsScalar& a, const RhsScalar& b) const {
return a != b ? result_type(1) : result_type(0);
}

2
Eigen/src/Geometry/Homogeneous.h
View File

@@ -80,14 +80,12 @@ class Homogeneous : public MatrixBase<Homogeneous<MatrixType, Direction_> >, int
template <typename Rhs>
EIGEN_DEVICE_FUNC inline const Product<Homogeneous, Rhs> operator*(const MatrixBase<Rhs>& rhs) const {
eigen_assert(int(Direction) == Horizontal);
return Product<Homogeneous, Rhs>(*this, rhs.derived());
}
template <typename Lhs>
friend EIGEN_DEVICE_FUNC inline const Product<Lhs, Homogeneous> operator*(const MatrixBase<Lhs>& lhs,
const Homogeneous& rhs) {
eigen_assert(int(Direction) == Vertical);
return Product<Lhs, Homogeneous>(lhs.derived(), rhs);
}

1
Eigen/src/SparseCore/SparseCompressedBase.h
View File

@@ -480,6 +480,7 @@ class CompressedStorageIterator {
return *this;
}
inline reference operator*() const { return reference(m_data.keyPtr() + m_index, m_data.valuePtr() + m_index); }
inline reference operator[](int index) { return *(*this + index); }
#define MAKE_COMP(OP) \
inline bool operator OP(const CompressedStorageIterator& other) const { return m_index OP other.m_index; }

3
Eigen/src/SparseCore/SparseMatrixBase.h
View File

@@ -227,9 +227,6 @@ class SparseMatrixBase : public EigenBase<Derived> {
using Nested = typename Derived::Nested;
using NestedCleaned = typename internal::remove_all<Nested>::type;
/// For converting `0's` to the matrices numerical type
using Scalar = typename Derived::Scalar;
if (Flags & RowMajorBit) {
Nested nm(m.derived());
internal::evaluator<NestedCleaned> thisEval(nm);

0
bench/basicbench.cxxlist Normal file → Executable file
View File

0
bench/btl/data/mk_gnuplot_script.sh Normal file → Executable file
View File

0
bench/btl/data/mk_mean_script.sh Normal file → Executable file
View File

2
blas/level3_impl.h
View File

@@ -222,7 +222,7 @@ EIGEN_BLAS_FUNC(gemmtr)
Eigen::internal::gemm_blocking_space<ColMajor, Scalar, Scalar, Dynamic, Dynamic, Dynamic> blocking(*n, *n, *k, 1,
false);
int code = OP(*opa) | (OP(*opb) << 2) + (UPLO(*uplo) * 12);
int code = OP(*opa) | ((OP(*opb) << 2) + (UPLO(*uplo) * 12));
func[code](*n, *k, a, *lda, b, *ldb, c, 1, *ldc, alpha, blocking);
}

52
ci/build.linux.gitlab-ci.yml
View File

@@ -1,5 +1,6 @@
# Base configuration for linux cross-compilation.
.build:linux:cross:
needs: []
extends: .common:linux:cross
stage: build
variables:
@@ -147,57 +148,6 @@ build:linux:docs:
# Build on regular linux to limit GPU cost.
- saas-linux-2xlarge-amd64
# NVidia no longer provides docker images < CUDA 11.0.3.
# # GCC-7, CUDA-9.2
# build:linux:cuda-9.2:gcc-7:
# extends: .build:linux:cuda
# image: nvidia/cuda:9.2-devel-ubuntu18.04
# variables:
# # cuda 9.2 doesn't support sm_75, so lower to 70.
# EIGEN_CI_CUDA_COMPUTE_ARCH: "50;70"
# EIGEN_CI_C_COMPILER: gcc-7
# EIGEN_CI_CXX_COMPILER: g++-7
# # Clang-10, CUDA-9.2
# build:linux:cuda-9.2:clang-10:
# extends: build:linux:cuda-9.2:gcc-7
# variables:
# EIGEN_CI_C_COMPILER: clang-10
# EIGEN_CI_CXX_COMPILER: clang++-10
# EIGEN_CI_TEST_CUDA_CLANG: "on"
# # GCC-8, CUDA-10.2
# build:linux:cuda-10.2:gcc-8:
# extends: .build:linux:cuda
# image: nvidia/cuda:10.2-devel-ubuntu18.04
# variables:
# EIGEN_CI_C_COMPILER: gcc-8
# EIGEN_CI_CXX_COMPILER: g++-8
# # Clang-10, CUDA-10.2
# build:linux:cuda-10.2:clang-10:
# extends: build:linux:cuda-10.2:gcc-8
# variables:
# EIGEN_CI_C_COMPILER: clang-10
# EIGEN_CI_CXX_COMPILER: clang++-10
# EIGEN_CI_TEST_CUDA_CLANG: "on"
# GCC-10, CUDA-11.4
build:linux:cuda-11.4:gcc-10:
extends: .build:linux:cuda
image: nvidia/cuda:11.4.3-devel-ubuntu20.04
variables:
EIGEN_CI_C_COMPILER: gcc-10
EIGEN_CI_CXX_COMPILER: g++-10
# Clang-12, CUDA-11.4
build:linux:cuda-11.4:clang-12:
extends: build:linux:cuda-11.4:gcc-10
variables:
EIGEN_CI_C_COMPILER: clang-12
EIGEN_CI_CXX_COMPILER: clang++-12
EIGEN_CI_TEST_CUDA_CLANG: "on"
# GCC-10, CUDA-12.2
build:linux:cuda-12.2:gcc-10:
extends: .build:linux:cuda

57
ci/build.windows.gitlab-ci.yml
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@@ -1,5 +1,6 @@
# Base configuration for windows builds.
.build:windows:
needs: []
extends: .common:windows
stage: build
variables:
@@ -25,15 +26,16 @@
######### MSVC #################################################################
# MSVC 14.16 (VS 2017)
build:windows:x86-64:msvc-14.16:default:
# MSVC 14.29 (VS 2019) 32 bit
build:windows:x86:msvc-14.29:default:
extends: .build:windows
variables:
EIGEN_CI_MSVC_VER: "14.16"
# Override to remove unsupported /d2ReducedOptimizeHugeFunctions.
EIGEN_CI_TEST_CUSTOM_CXX_FLAGS: "/DEIGEN_STRONG_INLINE=inline;/Os"
EIGEN_CI_MSVC_VER: "14.29"
EIGEN_CI_MSVC_ARCH: "x86"
# MSVC 14.29 (VS 2019) 64 bit
# MSVC 14.29 (VS 2019)
build:windows:x86-64:msvc-14.29:default:
extends: .build:windows
variables:
@@ -49,7 +51,9 @@ build:windows:x86-64:msvc-14.29:avx512dq:
variables:
EIGEN_CI_ADDITIONAL_ARGS: "-DEIGEN_TEST_AVX512DQ=on"
######### MSVC + CUDA ##########################################################
# MSVC 14.29 (VS 2019) + CUDA
.build:windows:cuda:
extends: .build:windows
variables:
@@ -65,46 +69,9 @@ build:windows:x86-64:msvc-14.29:avx512dq:
- x86-64
- cuda
# The CUDA 9.2 compiler crashes with an internal error.
# # MSVC 14.16 + CUDA 9.2
# build:windows:x86-64:cuda-9.2:msvc-14.16:
# extends: .build:windows:cuda
# variables:
# # CUDA 9.2 doesn't support sm_75.
# EIGEN_CI_CUDA_COMPUTE_ARCH: "50;70"
# # CUDA 9.2 only supports up to VS 2017.
# EIGEN_CI_MSVC_VER: "14.16"
# EIGEN_CI_TEST_CUSTOM_CXX_FLAGS: "/DEIGEN_STRONG_INLINE=inline;/Os"
# EIGEN_CI_BEFORE_SCRIPT: $$env:CUDA_PATH=$$env:CUDA_PATH_V9_2
# MSVC 14.29 + CUDA 10.2
build:windows:x86-64:cuda-10.2:msvc-14.29:
extends: .build:windows:cuda
variables:
EIGEN_CI_MSVC_VER: "14.29"
EIGEN_CI_BEFORE_SCRIPT: $$env:CUDA_PATH=$$env:CUDA_PATH_V10_2
# MSVC 14.29 + CUDA 11.4
build:windows:x86-64:cuda-11.4:msvc-14.29:
extends: .build:windows:cuda
variables:
EIGEN_CI_MSVC_VER: "14.29"
EIGEN_CI_BEFORE_SCRIPT: $$env:CUDA_PATH=$$env:CUDA_PATH_V11_4
######## MR Smoke Tests ########################################################
# MSVC 14.29 64-bit (VS 2019)
build:windows:x86-64:msvc-14.29:avx512dq:smoketest:
extends: build:windows:x86-64:msvc-14.29:avx512dq
variables:
EIGEN_CI_BUILD_TARGET: buildsmoketests
rules:
- if: $CI_PIPELINE_SOURCE == "merge_request_event"
# MSVC 14.29 32-bit (VS 2019)
build:windows:x86:msvc-14.29:avx512dq:smoketest:
extends: build:windows:x86-64:msvc-14.29:avx512dq:smoketest
variables:
EIGEN_CI_MSVC_ARCH: "x86"
rules:
- if: $CI_PIPELINE_SOURCE == "merge_request_event"
EIGEN_CI_BEFORE_SCRIPT: $$env:CUDA_PATH=$$env:CUDA_PATH_V11_4

0
ci/scripts/build.linux.script.sh Normal file → Executable file
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0
ci/scripts/common.linux.before_script.sh Normal file → Executable file
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0
ci/scripts/test.linux.after_script.sh Normal file → Executable file
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0
ci/scripts/test.linux.script.sh Normal file → Executable file
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0
ci/scripts/vars.linux.sh Normal file → Executable file
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55
ci/test.linux.gitlab-ci.yml
View File

@@ -204,61 +204,6 @@ test:linux:x86-64:clang-12:avx512dq:unsupported:
tags:
- saas-linux-medium-amd64-gpu-standard
# NVidia no longer provides docker images < CUDA 11.0.3.
# # GCC-7, CUDA-9.2
# test:linux:cuda-9.2:gcc-7:
# extends: .test:linux:cuda
# image: nvidia/cuda:9.2-devel-ubuntu18.04
# needs: [ build:linux:cuda-9.2:gcc-7 ]
# variables:
# EIGEN_CI_CXX_COMPILER: g++-7
# EIGEN_CI_CC_COMPILER: gcc-7
# # Clang-10, CUDA-9.2
# test:linux:cuda-9.2:clang-10:
# extends: .test:linux:cuda
# image: nvidia/cuda:9.2-devel-ubuntu18.04
# needs: [ build:linux:cuda-9.2:clang-10 ]
# variables:
# EIGEN_CI_CXX_COMPILER: clang++-10
# EIGEN_CI_CC_COMPILER: clang-10
# # GCC-8, CUDA-10.2
# test:linux:cuda-10.2:gcc-8:
# extends: .test:linux:cuda
# image: nvidia/cuda:10.2-devel-ubuntu18.04
# needs: [ build:linux:cuda-10.2:gcc-8 ]
# variables:
# EIGEN_CI_CXX_COMPILER: g++-8
# EIGEN_CI_CC_COMPILER: gcc-8
# # Clang-10, CUDA-10.2
# test:linux:cuda-10.2:clang-10:
# extends: .test:linux:cuda
# image: nvidia/cuda:10.2-devel-ubuntu18.04
# needs: [ build:linux:cuda-10.2:clang-10 ]
# variables:
# EIGEN_CI_CXX_COMPILER: clang++-10
# EIGEN_CI_CC_COMPILER: clang-10
# GCC-10, CUDA-11.4
test:linux:cuda-11.4:gcc-10:
extends: .test:linux:cuda
image: nvidia/cuda:11.4.3-devel-ubuntu20.04
needs: [ build:linux:cuda-11.4:gcc-10 ]
variables:
EIGEN_CI_CXX_COMPILER: g++-10
EIGEN_CI_CC_COMPILER: gcc-10
# Clang-12, CUDA-11.4
test:linux:cuda-11.4:clang-12:
extends: .test:linux:cuda
image: nvidia/cuda:11.4.3-devel-ubuntu20.04
needs: [ build:linux:cuda-11.4:clang-12 ]
variables:
EIGEN_CI_CXX_COMPILER: clang++-12
EIGEN_CI_CC_COMPILER: clang-12
# GCC-10, CUDA-12.2
test:linux:cuda-12.2:gcc-10:
extends: .test:linux:cuda

32
ci/test.windows.gitlab-ci.yml
View File

@@ -17,22 +17,8 @@
##### MSVC #####################################################################
# MSVC 14.16 (VS 2017)
.test:windows:x86-64:msvc-14.16:default:
extends: .test:windows
needs: [ build:windows:x86-64:msvc-14.16:default ]
# MSVC 14.29 (VS 2019) 64 bit
test:windows:x86-64:msvc-14.16:default:official:
extends: .test:windows:x86-64:msvc-14.16:default
variables:
EIGEN_CI_CTEST_LABEL: Official
test:windows:x86-64:msvc-14.16:default:unsupported:
extends: .test:windows:x86-64:msvc-14.16:default
variables:
EIGEN_CI_CTEST_LABEL: Unsupported
# MSVC 14.29 (VS 2019)
.test:windows:x86-64:msvc-14.29:default:
extends: .test:windows
needs: [ build:windows:x86-64:msvc-14.29:default ]
@@ -80,7 +66,8 @@ test:windows:x86-64:msvc-14.29:avx512dq:unsupported:
variables:
EIGEN_CI_CTEST_LABEL: Unsupported
##### MSVC + CUDA ##############################################################
# MSVC 14.29 (VS 2019) + CUDA
.test:windows:cuda:
extends: .test:windows
allow_failure: true
@@ -92,18 +79,7 @@ test:windows:x86-64:msvc-14.29:avx512dq:unsupported:
- x86-64
- cuda
# The CUDA 9.2 compiler crashes with an internal error.
# # MSVC 14.16 + CUDA 9.2
# test:windows:x86-64:cuda-9.2:msvc-14.16:
# extends: .test:windows:cuda
# needs: [ build:windows:x86-64:cuda-9.2:msvc-14.16 ]
# MSVC 14.29 + CUDA 10.2
test:windows:x86-64:cuda-10.2:msvc-14.29:
extends: .test:windows:cuda
needs: [ build:windows:x86-64:cuda-10.2:msvc-14.29 ]
# MSVC 14.29 + CUDA 11.4
test:windows:x86-64:cuda-11.4:msvc-14.29:
extends: .test:windows:cuda
needs: [ build:windows:x86-64:cuda-11.4:msvc-14.29 ]
needs: [ build:windows:x86-64:cuda-11.4:msvc-14.29 ]

91
cmake/Eigen3ConfigVersion.cmake.in Normal file
View File

@@ -0,0 +1,91 @@
# This is a CMake version file for the Config-mode of find_package().
#
# The version constraint is compatible with the current package under the
# following conditions:
# - If a version range is specified, the package version falls within the
# range up to the supplied version components.
# - If a single version is specified, the current package version matches
# only the requested version components.
#
# Examples:
# - 3...5 matches 3.0.0.0 to <6.0.0.0
# - 3...<5 matches 3.0.0.0 to <5.0.0.0
# - 3...<5.1 matches 3.0.0.0 to <5.1.0.0
# - 3 matches 3.0.0.0 to <4.0.0.0
# - 3.4 matches 3.4.0.0 to <3.5.0.0
set(PACKAGE_VERSION "@CVF_VERSION@")
# Extract version components.
if ("${PACKAGE_VERSION}" MATCHES "^([0-9]+)(\\.([0-9]+))?(\\.([0-9]+))?(\\.([0-9]+))?$")
set(_PACKAGE_VERSION_MAJOR "${CMAKE_MATCH_1}")
if (DEFINED CMAKE_MATCH_3)
set(_PACKAGE_VERSION_MINOR "${CMAKE_MATCH_3}")
else()
set(_PACKAGE_VERSION_MINOR "0")
endif()
if (DEFINED CMAKE_MATCH_5)
set(_PACKAGE_VERSION_PATCH "${CMAKE_MATCH_5}")
else()
set(_PACKAGE_VERSION_PATCH "0")
endif()
if (DEFINED CMAKE_MATCH_7)
set(_PACKAGE_VERSION_TWEAK "${CMAKE_MATCH_7}")
else()
set(_PACKAGE_VERSION_TWEAK "0")
endif()
set(_PACKAGE_VERSION_FULL "${_PACKAGE_VERSION_MAJOR}.${_PACKAGE_VERSION_MINOR}.${_PACKAGE_VERSION_PATCH}.${_PACKAGE_VERSION_TWEAK}")
endif()
if (PACKAGE_FIND_VERSION_RANGE)
# Create exclusive bound for the range maximum.
if (PACKAGE_FIND_VERSION_RANGE_MAX STREQUAL "EXCLUDE")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAX_MAJOR}.${PACKAGE_FIND_VERSION_MAX_MINOR}.${PACKAGE_FIND_VERSION_MAX_PATCH}.${PACKAGE_FIND_VERSION_MAX_TWEAK}")
else()
# Increment the last supplied version number.
if (PACKAGE_FIND_VERSION_MAX_COUNT EQUAL 1)
math(EXPR _PACKAGE_FIND_VERSION_MAX_MAJOR "${PACKAGE_FIND_VERSION_MAX_MAJOR}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${_PACKAGE_FIND_VERSION_MAX_MAJOR}.0.0.0")
elseif (PACKAGE_FIND_VERSION_MAX_COUNT EQUAL 2)
math(EXPR _PACKAGE_FIND_VERSION_MAX_MINOR "${PACKAGE_FIND_VERSION_MAX_MINOR}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAX_MAJOR}.${_PACKAGE_FIND_VERSION_MAX_MINOR}.0.0")
elseif (PACKAGE_FIND_VERSION_MAX_COUNT EQUAL 3)
math(EXPR _PACKAGE_FIND_VERSION_MAX_PATCH "${PACKAGE_FIND_VERSION_MAX_PATCH}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAX_MAJOR}.${PACKAGE_FIND_VERSION_MAX_MINOR}.${_PACKAGE_FIND_VERSION_MAX_PATCH}.0")
elseif (PACKAGE_FIND_VERSION_MAX_COUNT EQUAL 4)
math(EXPR _PACKAGE_FIND_VERSION_MAX_TWEAK "${PACKAGE_FIND_VERSION_MAX_TWEAK}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAX_MAJOR}.${PACKAGE_FIND_VERSION_MAX_MINOR}.${PACKAGE_FIND_VERSION_MAX_PATCH}.${_PACKAGE_FIND_VERSION_MAX_TWEAK}")
endif()
endif()
if ((_PACKAGE_VERSION_FULL VERSION_LESS PACKAGE_FIND_VERSION_MIN)
OR (_PACKAGE_VERSION_FULL VERSION_GREATER_EQUAL _PACKAGE_FIND_VERSION_UPPER))
set(PACKAGE_VERSION_COMPATIBLE FALSE)
else()
set(PACKAGE_VERSION_COMPATIBLE TRUE)
endif()
else()
# Create exclusive upper bound.
if (PACKAGE_FIND_VERSION_COUNT EQUAL 1)
math(EXPR _PACKAGE_FIND_VERSION_MAJOR "${PACKAGE_FIND_VERSION_MAJOR}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${_PACKAGE_FIND_VERSION_MAJOR}.0.0.0")
elseif (PACKAGE_FIND_VERSION_COUNT EQUAL 2)
math(EXPR _PACKAGE_FIND_VERSION_MINOR "${PACKAGE_FIND_VERSION_MINOR}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAJOR}.${_PACKAGE_FIND_VERSION_MINOR}.0.0")
elseif (PACKAGE_FIND_VERSION_COUNT EQUAL 3)
math(EXPR _PACKAGE_FIND_VERSION_PATCH "${PACKAGE_FIND_VERSION_PATCH}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAJOR}.${PACKAGE_FIND_VERSION_MINOR}.${_PACKAGE_FIND_VERSION_PATCH}.0")
elseif (PACKAGE_FIND_VERSION_COUNT EQUAL 4)
math(EXPR _PACKAGE_FIND_VERSION_TWEAK "${PACKAGE_FIND_VERSION_TWEAK}+1")
set(_PACKAGE_FIND_VERSION_UPPER "${PACKAGE_FIND_VERSION_MAJOR}.${PACKAGE_FIND_VERSION_MINOR}.${PACKAGE_FIND_VERSION_PATCH}.${_PACKAGE_FIND_VERSION_TWEAK}")
endif()
if((_PACKAGE_VERSION_FULL VERSION_LESS PACKAGE_FIND_VERSION) OR (_PACKAGE_VERSION_FULL VERSION_GREATER_EQUAL _PACKAGE_FIND_VERSION_UPPER))
set(PACKAGE_VERSION_COMPATIBLE FALSE)
else()
set(PACKAGE_VERSION_COMPATIBLE TRUE)
if(PACKAGE_FIND_VERSION STREQUAL PACKAGE_VERSION)
set(PACKAGE_VERSION_EXACT TRUE)
endif()
endif()
endif()

470
debug/msvc/eigen.natvis
View File

@@ -1,235 +1,235 @@
<?xml version="1.0" encoding="utf-8"?>
<AutoVisualizer xmlns="http://schemas.microsoft.com/vstudio/debugger/natvis/2010">
<!-- Fixed x Fixed Matrix -->
<Type Name="Eigen::Matrix&lt;*,*,*,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,-1,*,*,*&gt;"/>
<DisplayString>[{$T2}, {$T3}] (fixed matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? $T2 : $T3</Size>
<ValuePointer>m_storage.m_data.array</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? $T2 : $T3</Size>
<ValuePointer>m_storage.m_data.array</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- 2 x 2 Matrix -->
<Type Name="Eigen::Matrix&lt;*,2,2,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,2,2,*,*,*&gt;"/>
<DisplayString>[2, 2] (fixed matrix)</DisplayString>
<Expand>
<Synthetic Name="[row 0]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 0]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[2]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[1]}, {m_storage.m_data.array[3]})</DisplayString>
</Synthetic>
</Expand>
</Type>
<!-- 3 x 3 Matrix -->
<Type Name="Eigen::Matrix&lt;*,3,3,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,3,3,*,*,*&gt;"/>
<DisplayString>[3, 3] (fixed matrix)</DisplayString>
<Expand>
<Synthetic Name="[row 0]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 0]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[3]}, {m_storage.m_data.array[6]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[3]}, {m_storage.m_data.array[4]}, {m_storage.m_data.array[5]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[1]}, {m_storage.m_data.array[4]}, {m_storage.m_data.array[7]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[6]}, {m_storage.m_data.array[7]}, {m_storage.m_data.array[8]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[5]}, {m_storage.m_data.array[8]})</DisplayString>
</Synthetic>
</Expand>
</Type>
<!-- 4 x 4 Matrix -->
<Type Name="Eigen::Matrix&lt;*,4,4,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,4,4,*,*,*&gt;"/>
<DisplayString>[4, 4] (fixed matrix)</DisplayString>
<Expand>
<Synthetic Name="[row 0]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 0]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[4]}, {m_storage.m_data.array[8]}, {m_storage.m_data.array[12]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[4]}, {m_storage.m_data.array[5]}, {m_storage.m_data.array[6]}, {m_storage.m_data.array[7]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[1]}, {m_storage.m_data.array[5]}, {m_storage.m_data.array[9]}, {m_storage.m_data.array[13]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[8]}, {m_storage.m_data.array[9]}, {m_storage.m_data.array[10]}, {m_storage.m_data.array[11]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[6]}, {m_storage.m_data.array[10]}, {m_storage.m_data.array[14]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 3]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[12]}, {m_storage.m_data.array[13]}, {m_storage.m_data.array[14]}, {m_storage.m_data.array[15]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 3]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[3]}, {m_storage.m_data.array[7]}, {m_storage.m_data.array[11]}, {m_storage.m_data.array[15]})</DisplayString>
</Synthetic>
</Expand>
</Type>
<!-- Dynamic x Dynamic Matrix -->
<Type Name="Eigen::Matrix&lt;*,-1,-1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,-1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_rows}, {m_storage.m_cols}] (dynamic matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Fixed x Dynamic Matrix -->
<Type Name="Eigen::Matrix&lt;*,*,-1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,*,-1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{$T2}, {m_storage.m_cols}] (dynamic column matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? $T2 : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? $T2 : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Dynamic x Fixed Matrix -->
<Type Name="Eigen::Matrix&lt;*,-1,*,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,*,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_rows}, {$T2}] (dynamic row matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : $T2</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : $T2</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Dynamic Column Vector -->
<Type Name="Eigen::Matrix&lt;*,1,-1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,1,-1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_cols}] (dynamic column vector)</DisplayString>
<Expand>
<Item Name="[size]">m_storage.m_cols</Item>
<ArrayItems>
<Size>m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Dynamic Row Vector -->
<Type Name="Eigen::Matrix&lt;*,-1,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_rows}] (dynamic row vector)</DisplayString>
<Expand>
<Item Name="[size]">m_storage.m_rows</Item>
<ArrayItems>
<Size>m_storage.m_rows</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Fixed Vector -->
<Type Name="Eigen::Matrix&lt;*,1,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,1,1,*,*,*&gt;"/>
<DisplayString>[1] ({m_storage.m_data.array[0]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
</Expand>
</Type>
<Type Name="Eigen::Matrix&lt;*,2,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Matrix&lt;*,1,2,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,2,1,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,1,2,*,*,*&gt;"/>
<DisplayString>[2] ({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
<Item Name="[y]">m_storage.m_data.array[1]</Item>
</Expand>
</Type>
<Type Name="Eigen::Matrix&lt;*,3,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Matrix&lt;*,1,3,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,3,1,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,1,3,*,*,*&gt;"/>
<DisplayString>[3] ({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
<Item Name="[y]">m_storage.m_data.array[1]</Item>
<Item Name="[z]">m_storage.m_data.array[2]</Item>
</Expand>
</Type>
<Type Name="Eigen::Matrix&lt;*,4,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Matrix&lt;*,1,4,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,4,1,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,1,4,*,*,*&gt;"/>
<DisplayString>[4] ({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
<Item Name="[y]">m_storage.m_data.array[1]</Item>
<Item Name="[z]">m_storage.m_data.array[2]</Item>
<Item Name="[w]">m_storage.m_data.array[3]</Item>
</Expand>
</Type>
</AutoVisualizer>
<?xml version="1.0" encoding="utf-8"?>
<AutoVisualizer xmlns="http://schemas.microsoft.com/vstudio/debugger/natvis/2010">
<!-- Fixed x Fixed Matrix -->
<Type Name="Eigen::Matrix&lt;*,*,*,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,-1,*,*,*&gt;"/>
<DisplayString>[{$T2}, {$T3}] (fixed matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? $T2 : $T3</Size>
<ValuePointer>m_storage.m_data.array</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? $T2 : $T3</Size>
<ValuePointer>m_storage.m_data.array</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- 2 x 2 Matrix -->
<Type Name="Eigen::Matrix&lt;*,2,2,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,2,2,*,*,*&gt;"/>
<DisplayString>[2, 2] (fixed matrix)</DisplayString>
<Expand>
<Synthetic Name="[row 0]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 0]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[2]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[1]}, {m_storage.m_data.array[3]})</DisplayString>
</Synthetic>
</Expand>
</Type>
<!-- 3 x 3 Matrix -->
<Type Name="Eigen::Matrix&lt;*,3,3,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,3,3,*,*,*&gt;"/>
<DisplayString>[3, 3] (fixed matrix)</DisplayString>
<Expand>
<Synthetic Name="[row 0]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 0]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[3]}, {m_storage.m_data.array[6]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[3]}, {m_storage.m_data.array[4]}, {m_storage.m_data.array[5]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[1]}, {m_storage.m_data.array[4]}, {m_storage.m_data.array[7]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[6]}, {m_storage.m_data.array[7]}, {m_storage.m_data.array[8]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[5]}, {m_storage.m_data.array[8]})</DisplayString>
</Synthetic>
</Expand>
</Type>
<!-- 4 x 4 Matrix -->
<Type Name="Eigen::Matrix&lt;*,4,4,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,4,4,*,*,*&gt;"/>
<DisplayString>[4, 4] (fixed matrix)</DisplayString>
<Expand>
<Synthetic Name="[row 0]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 0]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[0]}, {m_storage.m_data.array[4]}, {m_storage.m_data.array[8]}, {m_storage.m_data.array[12]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[4]}, {m_storage.m_data.array[5]}, {m_storage.m_data.array[6]}, {m_storage.m_data.array[7]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 1]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[1]}, {m_storage.m_data.array[5]}, {m_storage.m_data.array[9]}, {m_storage.m_data.array[13]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[8]}, {m_storage.m_data.array[9]}, {m_storage.m_data.array[10]}, {m_storage.m_data.array[11]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 2]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[2]}, {m_storage.m_data.array[6]}, {m_storage.m_data.array[10]}, {m_storage.m_data.array[14]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 3]" Condition="Flags%2">
<DisplayString>({m_storage.m_data.array[12]}, {m_storage.m_data.array[13]}, {m_storage.m_data.array[14]}, {m_storage.m_data.array[15]})</DisplayString>
</Synthetic>
<Synthetic Name="[row 3]" Condition="!(Flags%2)">
<DisplayString>({m_storage.m_data.array[3]}, {m_storage.m_data.array[7]}, {m_storage.m_data.array[11]}, {m_storage.m_data.array[15]})</DisplayString>
</Synthetic>
</Expand>
</Type>
<!-- Dynamic x Dynamic Matrix -->
<Type Name="Eigen::Matrix&lt;*,-1,-1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,-1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_rows}, {m_storage.m_cols}] (dynamic matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Fixed x Dynamic Matrix -->
<Type Name="Eigen::Matrix&lt;*,*,-1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,*,-1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{$T2}, {m_storage.m_cols}] (dynamic column matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? $T2 : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? $T2 : m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Dynamic x Fixed Matrix -->
<Type Name="Eigen::Matrix&lt;*,-1,*,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,*,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_rows}, {$T2}] (dynamic row matrix)</DisplayString>
<Expand>
<ArrayItems Condition="Flags%2"> <!-- row major layout -->
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : $T2</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
<ArrayItems Condition="!(Flags%2)"> <!-- column major layout -->
<Direction>Backward</Direction>
<Rank>2</Rank>
<Size>$i==0 ? m_storage.m_rows : $T2</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Dynamic Column Vector -->
<Type Name="Eigen::Matrix&lt;*,1,-1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,1,-1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_cols}] (dynamic column vector)</DisplayString>
<Expand>
<Item Name="[size]">m_storage.m_cols</Item>
<ArrayItems>
<Size>m_storage.m_cols</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Dynamic Row Vector -->
<Type Name="Eigen::Matrix&lt;*,-1,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,-1,1,*,*,*&gt;"/>
<DisplayString Condition="m_storage.m_data == 0">empty</DisplayString>
<DisplayString Condition="m_storage.m_data != 0">[{m_storage.m_rows}] (dynamic row vector)</DisplayString>
<Expand>
<Item Name="[size]">m_storage.m_rows</Item>
<ArrayItems>
<Size>m_storage.m_rows</Size>
<ValuePointer>m_storage.m_data</ValuePointer>
</ArrayItems>
</Expand>
</Type>
<!-- Fixed Vector -->
<Type Name="Eigen::Matrix&lt;*,1,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Array&lt;*,1,1,*,*,*&gt;"/>
<DisplayString>[1] ({m_storage.m_data.array[0]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
</Expand>
</Type>
<Type Name="Eigen::Matrix&lt;*,2,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Matrix&lt;*,1,2,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,2,1,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,1,2,*,*,*&gt;"/>
<DisplayString>[2] ({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
<Item Name="[y]">m_storage.m_data.array[1]</Item>
</Expand>
</Type>
<Type Name="Eigen::Matrix&lt;*,3,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Matrix&lt;*,1,3,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,3,1,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,1,3,*,*,*&gt;"/>
<DisplayString>[3] ({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
<Item Name="[y]">m_storage.m_data.array[1]</Item>
<Item Name="[z]">m_storage.m_data.array[2]</Item>
</Expand>
</Type>
<Type Name="Eigen::Matrix&lt;*,4,1,*,*,*&gt;">
<AlternativeType Name="Eigen::Matrix&lt;*,1,4,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,4,1,*,*,*&gt;"/>
<AlternativeType Name="Eigen::Array&lt;*,1,4,*,*,*&gt;"/>
<DisplayString>[4] ({m_storage.m_data.array[0]}, {m_storage.m_data.array[1]}, {m_storage.m_data.array[2]}, {m_storage.m_data.array[3]})</DisplayString>
<Expand>
<Item Name="[x]">m_storage.m_data.array[0]</Item>
<Item Name="[y]">m_storage.m_data.array[1]</Item>
<Item Name="[z]">m_storage.m_data.array[2]</Item>
<Item Name="[w]">m_storage.m_data.array[3]</Item>
</Expand>
</Type>
</AutoVisualizer>

590
debug/msvc/eigen_autoexp_part.dat
View File

@@ -1,295 +1,295 @@
; ***************************************************************
; * Eigen Visualizer
; *
; * Author: Hauke Heibel <hauke.heibel@gmail.com>
; *
; * Support the enhanced debugging of the following Eigen
; * types (*: any, +:fixed dimension) :
; *
; * - Eigen::Matrix<*,4,1,*,*,*> and Eigen::Matrix<*,1,4,*,*,*>
; * - Eigen::Matrix<*,3,1,*,*,*> and Eigen::Matrix<*,1,3,*,*,*>
; * - Eigen::Matrix<*,2,1,*,*,*> and Eigen::Matrix<*,1,2,*,*,*>
; * - Eigen::Matrix<*,-1,-1,*,*,*>
; * - Eigen::Matrix<*,+,-1,*,*,*>
; * - Eigen::Matrix<*,-1,+,*,*,*>
; * - Eigen::Matrix<*,+,+,*,*,*>
; *
; * Matrices are displayed properly independently of the memory
; * alignment (RowMajor vs. ColMajor).
; *
; * This file is distributed WITHOUT ANY WARRANTY. Please ensure
; * that your original autoexp.dat file is copied to a safe
; * place before proceeding with its modification.
; ***************************************************************
[Visualizer]
; Fixed size 4-vectors
Eigen::Matrix<*,4,1,*,*,*>|Eigen::Matrix<*,1,4,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0],
y : ($c.m_storage.m_data.array)[1],
z : ($c.m_storage.m_data.array)[2],
w : ($c.m_storage.m_data.array)[3]
)
)
preview
(
#(
"[",
4,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 4),
")"
)
)
}
; Fixed size 3-vectors
Eigen::Matrix<*,3,1,*,*,*>|Eigen::Matrix<*,1,3,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0],
y : ($c.m_storage.m_data.array)[1],
z : ($c.m_storage.m_data.array)[2]
)
)
preview
(
#(
"[",
3,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 3),
")"
)
)
}
; Fixed size 2-vectors
Eigen::Matrix<*,2,1,*,*,*>|Eigen::Matrix<*,1,2,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0],
y : ($c.m_storage.m_data.array)[1]
)
)
preview
(
#(
"[",
2,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 2),
")"
)
)
}
; Fixed size 1-vectors
Eigen::Matrix<*,1,1,*,*,*>|Eigen::Matrix<*,1,1,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0]
)
)
preview
(
#(
"[",
1,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 1),
")"
)
)
}
; Dynamic matrices (ColMajor and RowMajor support)
Eigen::Matrix<*,-1,-1,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.m_storage.m_rows,
cols: $c.m_storage.m_cols,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[($i % $c.m_storage.m_rows)*$c.m_storage.m_cols + (($i- $i % $c.m_storage.m_rows)/$c.m_storage.m_rows)],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.m_storage.m_cols
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[$i],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.m_storage.m_cols
)
)
)
)
preview
(
#(
"[",
$c.m_storage.m_rows,
",",
$c.m_storage.m_cols,
"](",
#array(
expr : [($c.m_storage.m_data)[$i],g],
size : $c.m_storage.m_rows*$c.m_storage.m_cols
),
")"
)
)
}
; Fixed rows, dynamic columns matrix (ColMajor and RowMajor support)
Eigen::Matrix<*,*,-1,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.RowsAtCompileTime,
cols: $c.m_storage.m_cols,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[($i % $c.RowsAtCompileTime)*$c.m_storage.m_cols + (($i- $i % $c.RowsAtCompileTime)/$c.RowsAtCompileTime)],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.m_storage.m_cols
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[$i],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.m_storage.m_cols
)
)
)
)
preview
(
#(
"[",
$c.RowsAtCompileTime,
",",
$c.m_storage.m_cols,
"](",
#array(
expr : [($c.m_storage.m_data)[$i],g],
size : $c.RowsAtCompileTime*$c.m_storage.m_cols
),
")"
)
)
}
; Dynamic rows, fixed columns matrix (ColMajor and RowMajor support)
Eigen::Matrix<*,-1,*,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.m_storage.m_rows,
cols: $c.ColsAtCompileTime,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[($i % $c.m_storage.m_rows)*$c.ColsAtCompileTime + (($i- $i % $c.m_storage.m_rows)/$c.m_storage.m_rows)],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.ColsAtCompileTime
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[$i],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.ColsAtCompileTime
)
)
)
)
preview
(
#(
"[",
$c.m_storage.m_rows,
",",
$c.ColsAtCompileTime,
"](",
#array(
expr : [($c.m_storage.m_data)[$i],g],
size : $c.m_storage.m_rows*$c.ColsAtCompileTime
),
")"
)
)
}
; Fixed size matrix (ColMajor and RowMajor support)
Eigen::Matrix<*,*,*,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.RowsAtCompileTime,
cols: $c.ColsAtCompileTime,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data.array)[($i % $c.RowsAtCompileTime)*$c.ColsAtCompileTime + (($i- $i % $c.RowsAtCompileTime)/$c.RowsAtCompileTime)],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.ColsAtCompileTime
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data.array)[$i],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.ColsAtCompileTime
)
)
)
)
preview
(
#(
"[",
$c.RowsAtCompileTime,
",",
$c.ColsAtCompileTime,
"](",
#array(
expr : [($c.m_storage.m_data.array)[$i],g],
size : $c.RowsAtCompileTime*$c.ColsAtCompileTime
),
")"
)
)
}
; ***************************************************************
; * Eigen Visualizer
; *
; * Author: Hauke Heibel <hauke.heibel@gmail.com>
; *
; * Support the enhanced debugging of the following Eigen
; * types (*: any, +:fixed dimension) :
; *
; * - Eigen::Matrix<*,4,1,*,*,*> and Eigen::Matrix<*,1,4,*,*,*>
; * - Eigen::Matrix<*,3,1,*,*,*> and Eigen::Matrix<*,1,3,*,*,*>
; * - Eigen::Matrix<*,2,1,*,*,*> and Eigen::Matrix<*,1,2,*,*,*>
; * - Eigen::Matrix<*,-1,-1,*,*,*>
; * - Eigen::Matrix<*,+,-1,*,*,*>
; * - Eigen::Matrix<*,-1,+,*,*,*>
; * - Eigen::Matrix<*,+,+,*,*,*>
; *
; * Matrices are displayed properly independently of the memory
; * alignment (RowMajor vs. ColMajor).
; *
; * This file is distributed WITHOUT ANY WARRANTY. Please ensure
; * that your original autoexp.dat file is copied to a safe
; * place before proceeding with its modification.
; ***************************************************************
[Visualizer]
; Fixed size 4-vectors
Eigen::Matrix<*,4,1,*,*,*>|Eigen::Matrix<*,1,4,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0],
y : ($c.m_storage.m_data.array)[1],
z : ($c.m_storage.m_data.array)[2],
w : ($c.m_storage.m_data.array)[3]
)
)
preview
(
#(
"[",
4,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 4),
")"
)
)
}
; Fixed size 3-vectors
Eigen::Matrix<*,3,1,*,*,*>|Eigen::Matrix<*,1,3,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0],
y : ($c.m_storage.m_data.array)[1],
z : ($c.m_storage.m_data.array)[2]
)
)
preview
(
#(
"[",
3,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 3),
")"
)
)
}
; Fixed size 2-vectors
Eigen::Matrix<*,2,1,*,*,*>|Eigen::Matrix<*,1,2,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0],
y : ($c.m_storage.m_data.array)[1]
)
)
preview
(
#(
"[",
2,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 2),
")"
)
)
}
; Fixed size 1-vectors
Eigen::Matrix<*,1,1,*,*,*>|Eigen::Matrix<*,1,1,*,*,*>{
children
(
#(
[internals]: [$c,!],
x : ($c.m_storage.m_data.array)[0]
)
)
preview
(
#(
"[",
1,
"](",
#array(expr: $e.m_storage.m_data.array[$i], size: 1),
")"
)
)
}
; Dynamic matrices (ColMajor and RowMajor support)
Eigen::Matrix<*,-1,-1,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.m_storage.m_rows,
cols: $c.m_storage.m_cols,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[($i % $c.m_storage.m_rows)*$c.m_storage.m_cols + (($i- $i % $c.m_storage.m_rows)/$c.m_storage.m_rows)],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.m_storage.m_cols
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[$i],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.m_storage.m_cols
)
)
)
)
preview
(
#(
"[",
$c.m_storage.m_rows,
",",
$c.m_storage.m_cols,
"](",
#array(
expr : [($c.m_storage.m_data)[$i],g],
size : $c.m_storage.m_rows*$c.m_storage.m_cols
),
")"
)
)
}
; Fixed rows, dynamic columns matrix (ColMajor and RowMajor support)
Eigen::Matrix<*,*,-1,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.RowsAtCompileTime,
cols: $c.m_storage.m_cols,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[($i % $c.RowsAtCompileTime)*$c.m_storage.m_cols + (($i- $i % $c.RowsAtCompileTime)/$c.RowsAtCompileTime)],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.m_storage.m_cols
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[$i],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.m_storage.m_cols
)
)
)
)
preview
(
#(
"[",
$c.RowsAtCompileTime,
",",
$c.m_storage.m_cols,
"](",
#array(
expr : [($c.m_storage.m_data)[$i],g],
size : $c.RowsAtCompileTime*$c.m_storage.m_cols
),
")"
)
)
}
; Dynamic rows, fixed columns matrix (ColMajor and RowMajor support)
Eigen::Matrix<*,-1,*,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.m_storage.m_rows,
cols: $c.ColsAtCompileTime,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[($i % $c.m_storage.m_rows)*$c.ColsAtCompileTime + (($i- $i % $c.m_storage.m_rows)/$c.m_storage.m_rows)],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.ColsAtCompileTime
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data)[$i],
size: ($r==1)*$c.m_storage.m_rows+($r==0)*$c.ColsAtCompileTime
)
)
)
)
preview
(
#(
"[",
$c.m_storage.m_rows,
",",
$c.ColsAtCompileTime,
"](",
#array(
expr : [($c.m_storage.m_data)[$i],g],
size : $c.m_storage.m_rows*$c.ColsAtCompileTime
),
")"
)
)
}
; Fixed size matrix (ColMajor and RowMajor support)
Eigen::Matrix<*,*,*,*,*,*>{
children
(
#(
[internals]: [$c,!],
rows: $c.RowsAtCompileTime,
cols: $c.ColsAtCompileTime,
; Check for RowMajorBit
#if ($c.Flags & 0x1) (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data.array)[($i % $c.RowsAtCompileTime)*$c.ColsAtCompileTime + (($i- $i % $c.RowsAtCompileTime)/$c.RowsAtCompileTime)],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.ColsAtCompileTime
)
) #else (
#array(
rank: 2,
base: 0,
expr: ($c.m_storage.m_data.array)[$i],
size: ($r==1)*$c.RowsAtCompileTime+($r==0)*$c.ColsAtCompileTime
)
)
)
)
preview
(
#(
"[",
$c.RowsAtCompileTime,
",",
$c.ColsAtCompileTime,
"](",
#array(
expr : [($c.m_storage.m_data.array)[$i],g],
size : $c.RowsAtCompileTime*$c.ColsAtCompileTime
),
")"
)
)
}

25
doc/TopicCMakeGuide.dox
View File

@@ -7,16 +7,16 @@ namespace Eigen {
%Eigen provides native CMake support which allows the library to be easily
used in CMake projects.
\note %CMake 3.0 (or later) is required to enable this functionality.
\note %CMake 3.5 (or later) is required to enable this functionality.
%Eigen exports a CMake target called `Eigen3::Eigen` which can be imported
using the `find_package` CMake command and used by calling
`target_link_libraries` as in the following example:
\code{.cmake}
cmake_minimum_required (VERSION 3.0)
cmake_minimum_required (VERSION 3.5)
project (myproject)
find_package (Eigen3 3.3 REQUIRED NO_MODULE)
find_package (Eigen3 REQUIRED NO_MODULE)
add_executable (example example.cpp)
target_link_libraries (example Eigen3::Eigen)
@@ -27,10 +27,19 @@ The above code snippet must be placed in a file called `CMakeLists.txt` alongsid
\code{.sh}
$ cmake path-to-example-directory
\endcode
CMake will produce project files that generate an executable called `example`
which requires at least version 3.3 of %Eigen. Here, `path-to-example-directory`
is the path to the directory that contains both `CMakeLists.txt` and
`example.cpp`.
CMake will produce project files that generate an executable called `example`.
Here, `path-to-example-directory` is the path to the directory that contains
both `CMakeLists.txt` and `example.cpp`. Note that if you have multiple
instances of %Eigen installed, `find_package` will use the first one
encountered. To request a specific version of %Eigen, use the `<version>`
option in `find_package`:
```
find_package(Eigen3 3.4 REQUIRED NO_MODULE) # Restricts to 3.4.z
```
or to support a range of versions:
```
find_package(Eigen3 3.4...5 REQUIRED NO_MODULE) # Any version >=3.4.0 but <6.0.0.
```
Do not forget to set the <a href="https://cmake.org/cmake/help/v3.7/variable/CMAKE_PREFIX_PATH.html">\c CMAKE_PREFIX_PATH </a> variable if Eigen is not installed in a default location or if you want to pick a specific version. For instance:
\code{.sh}
@@ -44,7 +53,7 @@ $ cmake path-to-example-directory -DEigen3_DIR=$HOME/mypackages/share/eigen3/cma
If the `REQUIRED` option is omitted when locating %Eigen using
`find_package`, one can check whether the package was found as follows:
\code{.cmake}
find_package (Eigen3 3.3 NO_MODULE)
find_package (Eigen3 NO_MODULE)
if (TARGET Eigen3::Eigen)
# Use the imported target

0
scripts/eigen_gen_docs Normal file → Executable file
View File

0
scripts/eigen_gen_split_test_help.cmake Normal file → Executable file
View File

1
test/CMakeLists.txt
View File

@@ -323,6 +323,7 @@ ei_add_test(threads_runqueue "-pthread" "${CMAKE_THREAD_LIBS_INIT}")
ei_add_test(threads_non_blocking_thread_pool "-pthread" "${CMAKE_THREAD_LIBS_INIT}")
ei_add_test(threads_fork_join "-pthread" "${CMAKE_THREAD_LIBS_INIT}")
add_executable(bug1213 bug1213.cpp bug1213_main.cpp)
target_link_libraries(bug1213 Eigen3::Eigen)
check_cxx_compiler_flag("-ffast-math" COMPILER_SUPPORT_FASTMATH)
if(COMPILER_SUPPORT_FASTMATH)

12
test/array_cwise.cpp
View File

@@ -762,6 +762,18 @@ void comparisons(const ArrayType& m) {
VERIFY_IS_APPROX(((m1.abs() + 1) > RealScalar(0.1)).colwise().count(),
ArrayOfIndices::Constant(cols, rows).transpose());
VERIFY_IS_APPROX(((m1.abs() + 1) > RealScalar(0.1)).rowwise().count(), ArrayOfIndices::Constant(rows, cols));
// simple data type that does not permit implicit conversions
struct scalar_wrapper {
Scalar m_data;
scalar_wrapper() : m_data(0) {}
explicit scalar_wrapper(Scalar data) : m_data(data) {}
bool operator==(scalar_wrapper other) const { return m_data == other.m_data; }
};
// test bug2966: select did not support some scalar types that forbade implicit conversions from bool
ArrayX<scalar_wrapper> m5(10);
m5 = (m5 == scalar_wrapper(0)).select(m5, m5);
}
template <typename ArrayType>

21
test/geo_homogeneous.cpp
View File

@@ -112,6 +112,27 @@ void homogeneous(void) {
VERIFY_IS_APPROX((t2.template triangularView<Lower>() * v0.homogeneous()).eval(),
(t2.template triangularView<Lower>() * hv0));
{
const MatrixType points = MatrixType::Random();
const VectorType center = VectorType::Random();
const auto pts3 = points.rowwise() - center.transpose();
const auto pts_xy1 = pts3.template leftCols<Size - 1>().rowwise().homogeneous();
const auto pts_xy2 = pts3.template topRows<Size - 1>().colwise().homogeneous();
VERIFY_IS_APPROX(pts_xy1.transpose() * pts_xy1, pts_xy1.transpose() * pts_xy1.eval());
VERIFY_IS_APPROX(pts_xy2 * pts_xy2.transpose(), pts_xy2.eval() * pts_xy2.transpose());
}
{
const Eigen::PermutationMatrix<Size> P{Eigen::Vector<int, Size>::EqualSpaced(0, 1)};
const auto right = Eigen::Vector<Scalar, Size - 1>::Random().eval().homogeneous();
const auto left = Eigen::RowVector<Scalar, Size - 1>::Random().eval().homogeneous();
VERIFY_IS_APPROX(P * right, P * right.eval());
VERIFY_IS_APPROX(left * P, left.eval() * P);
}
}
EIGEN_DECLARE_TEST(geo_homogeneous) {