| Commit message (Collapse) | Author | Age |
|
|
|
|
|
|
|
| |
IoFormat OctaveFmt(4, AlignCols, ", ", ";\n", "", "", "[", "]");
cout << mat.format(OctaveFmt);
The first "4" is the precision.
Documentation missing.
* Some compilation fixes
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
- added a MapBase base xpr on top of which Map and the specialization
of Block are implemented
- MapBase forces both aligned loads (and aligned stores, see below) in expressions
such as "x.block(...) += other_expr"
* Significant vectorization improvement:
- added a AlignedBit flag meaning the first coeff/packet is aligned,
this allows to not generate extra code to deal with the first unaligned part
- removed all unaligned stores when no unrolling
- removed unaligned loads in Sum when the input as the DirectAccessBit flag
* Some code simplification in CacheFriendly product
* Some minor documentation improvements
|
|
|
|
| |
ei_cache_friendly_product, and undeclared memcpy
|
|
|
|
|
|
|
|
|
|
|
| |
efficient matrix-vector products:
=> up to 6 times faster !
* Added DirectAccessBit to Part
* Added an exemple of a cwise operator
* Renamed perpendicular() => someOrthogonal() (geometry module)
* Fix a weired bug in ei_constant_functor: the default copy constructor did not copy
the imaginary part when the single member of the class is a complex...
|
|
|
|
|
|
| |
Renamed "MatrixBase::extract() const" to "MatrixBase::part() const"
* Renamed static functions identity, zero, ones, random with an upper case
first letter: Identity, Zero, Ones and Random.
|
|
|
|
|
|
| |
and vector * row-major products. Currently, it is enabled only is the matrix
has DirectAccessBit flag and the product is "large enough".
Added the respective unit tests in test/product/cpp.
|
|
|
|
|
|
| |
(using either a cache friendly strategy or re-using dot-product
vectorized implementation)
* add LinearAccessBit to Transpose
|
|
|
|
| |
can be seen in Eigen/src/Core/Cwise.h.
|
|
|
|
|
|
| |
(could come back to redux after it has been vectorized,
and could serve as a starting point for that)
also make the abs2 functor vectorizable (for real types).
|
|
|
|
|
|
|
|
|
|
| |
to optimize matrix-diag and diag-matrix products without
making Product over complicated.
* compilation fixes in Tridiagonalization and HessenbergDecomposition
in the case of 2x2 matrices.
* added an Orientation2D small class with similar interface than Quaternion
(used by Transform to handle 2D and 3D orientations seamlessly)
* added a couple of features in Transform.
|
|
|
|
| |
To try it with the unit tests set the cmake variable TEST_LIB to ON.
|
|
|
|
|
|
| |
disappear
from the docs.
|
|
|
|
|
| |
it allows the possiblity to save some compilation time by linking to it
*and* defining the token EIGEN_EXTERN_INSTANCIATIONS
|
|
|
|
|
|
|
|
| |
This include:
- cwise Pow,Sin,Cos,Exp...
- cwise Greater and other comparison operators
- .any(), .all() and partial reduction
- random
|
|
|
|
| |
In particular this flag changes the behavior of operator* to a coeff wise product.
|
|
|
|
|
|
|
|
|
|
|
| |
was a sign that we were doing something wrong. In fact, having
NestByValue as a special case of Flagged was wrong, and the previous
commit, while not buggy, was inefficient because then when the resulting
NestByValue xpr was nested -- hence copied -- the original xpr which was
already nested by value was copied again; hence instead of 1 copy we got
3 copies.
The solution was to ressuscitate the old Temporary.h (renamed
NestByValue.h) as it was the right approach.
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
finally that's more subtle than just using ei_nested, because when
flagging with NestByValueBit we want to store the expression by value
already, regardless of whether it already had the NestByValueBit set.
* rename temporary() ----> nestByValue()
* move the old Product.h to disabled/, replace by what was ProductWIP.h
* tweak -O and -g flags for tests and examples
* reorder the tests -- basic things go first
* simplifications, e.g. in many methoeds return derived() and count on
implicit casting to the actual return type.
* strip some not-really-useful stuff from the heaviest tests
|
|
|
|
| |
(svn required to commit that separately)
|
|
|
|
|
|
|
|
|
|
| |
Triangular class
- full meta-unrolling in Part
- move inverseProduct() to MatrixBase
- compilation fix in ProductWIP: introduce a meta-selector to only do
direct access on types that support it.
- phase out the old Product, remove the WIP_DIRTY stuff.
- misc renaming and fixes
|
|
|
|
| |
Rename DefaultLostFlagMask --> HerediraryBits
|
|
|
|
|
|
| |
* Fix a mistake in CwiseNullary.
* Added a CoreDeclarions header that declares only the forward declarations
and related basic stuffs.
|
|
|
|
| |
-finline-limit=1000 to gcc to get good performance. By the way some cleanup.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
(does not support complex and does not re-use the QR decomposition)
* Rewrite the cache friendly product to have only one instance per scalar type !
This significantly speeds up compilation time and reduces executable size.
The current drawback is that some trivial expressions might be
evaluated like conjugate or negate.
* Renamed "cache optimal" to "cache friendly"
* Added the ability to directly access matrix data of some expressions via:
- the stride()/_stride() methods
- DirectAccessBit flag (replace ReferencableBit)
|
|
|
|
| |
rename the noarch PacketMath.h to DummyPacketMath.h
|
|
|
|
|
|
|
|
| |
* Fix compilation of Inverse.h with vectorisation
* Introduce EIGEN_GNUC_AT_LEAST(x,y) macro doing future-proof (e.g. gcc v5.0) check
* Only use ProductWIP if vectorisation is enabled
* rename EIGEN_ALWAYS_INLINE -> EIGEN_INLINE with fall-back to inline keyword
* some cleanup/indentation
|
| |
|
|
|
|
|
|
|
|
|
|
|
| |
(needed by the new product implementation)
* Make the packet* members template to support aligned and unaligned
access. This makes Block vectorizable. Combined with ReferencableBit,
we should be able to determine at runtime (in some specific cases) if
an aligned vectorization is possible or not.
* Improved the new product implementation to robustly handle all cases,
it now passes all the tests.
* Renamed the packet version ei_predux to ei_preduxp to avoid name collision.
|
|
|
|
|
| |
* improved the flexibility of the new product implementation,
now all sizes seems to be properly handled.
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
* Introduce a new highly optimized matrix-matrix product for large
matrices. The code is still highly experimental and it is activated
only if you define EIGEN_WIP_PRODUCT at compile time.
Currently the third dimension of the product must be a factor of
the packet size (x4 for floats) and the right handed side matrix
must be column major.
Moreover, currently c = a*b; actually computes c += a*b !!
Therefore, the code is provided for experimentation purpose only !
These limitations will be fixed soon or later to become the default
product implementation.
|
|
|
|
| |
* Fix several warnings, temporarily disable determinant test.
|
|
|
|
|
| |
and make Product ok when only one side is vectorizable (and the product
is still vectorized)
|
|
|
|
|
|
|
|
|
|
|
| |
m.upper() = a+b;
only updates the upper triangular part of m.
Note that:
m = (a+b).upper();
updates all coefficients of m (but half of the additions
will be skiped)
Updated back/forward substitution to better use Eigen's capability.
|
|
|
|
|
|
|
|
|
|
|
| |
part of a matrix. Triangular also provide an optimised method for forward
and backward substitution. Further optimizations regarding assignments and
products might come later.
Updated determinant() to take into account triangular matrices.
Started the QR module with a QR decompostion algorithm.
Help needed to build a QR algorithm (eigen solver) based on it.
|
|
|
|
|
|
|
|
| |
- support dynamic sizes
- support arbitrary matrix size when the matrix can be seen as a 1D array
(except for fixed size matrices where the size in Bytes must be a factor of 16,
this is to allow compact storage of a vector of matrices)
Note that the explict vectorization is still experimental and far to be completely tested.
|
|
|
|
|
|
|
|
|
| |
functions
are provided to handle not suported types seemlessly.
Added a generic null-ary expression with null-ary functors. They replace
Zero, Ones, Identity and Random.
|
| |
|
|
|
|
|
|
| |
fully optimized.
* Even if LargeBit is set, only parallelize for large enough objects
(controlled by EIGEN_PARALLELIZATION_TRESHOLD).
|
| |
|
|
|
|
|
| |
added the possibility to disable the vectorization using EIGEN_DONT_VECTORIZE
(some architectures has SSE support by default)
|
|
|
|
|
|
|
|
| |
* add -pedantic to CXXFLAGS
* cleanup intricated expressions with && and ||
which gave warnings because of "missing" parentheses
* fix compile error in NumTraits, apparently discovered
by -pedantic
|
|
|
|
| |
some more renaming
|
|
|
|
|
| |
* rename OperatorEquals -> Assign
* move Util.h and FwDecl.h to a util/ subdir
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
Currently only the following platform/operations are supported:
- SSE2 compatible architecture
- compiler compatible with intel's SSE2 intrinsics
- float, double and int data types
- fixed size matrices with a storage major dimension multiple of 4 (or 2 for double)
- scalar-matrix product, component wise: +,-,*,min,max
- matrix-matrix product only if the left matrix is vectorizable and column major
or the right matrix is vectorizable and row major, e.g.:
a.transpose() * b is not vectorized with the default column major storage.
To use it you must define EIGEN_VECTORIZE and EIGEN_INTEL_PLATFORM.
|
|
|
|
|
|
|
|
|
|
|
| |
in ei_xpr_copy and operator=, respectively.
* added Matrix::lazyAssign() when EvalBeforeAssigningBit must be skipped
(mainly internal use only)
* all expressions are now stored by const reference
* added Temporary xpr: .temporary() must be called on any temporary expression
not directly returned by a function (mainly internal use only)
* moved all functors in the Functors.h header
* added some preliminaries stuff for the explicit vectorization
|
|
|
|
|
|
|
| |
to preserve SVN history). They are made useless by the new
ei_eval_unless_lazy.
- introduce a generic Eval member typedef so one can do e.g.
T t; U u; Product<T, U>::Eval m; m = t*u;
|
| |
|
|
|
|
|
|
|
| |
* macro renaming: EIGEN_NDEBUG becomes EIGEN_NO_DEBUG
as this is much better (and similar to Qt) and
EIGEN_CUSTOM_ASSERT becomes EIGEN_USE_CUSTOM_ASSERT
* protect Core header by a EIGEN_CORE_H
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
as well as partial redux (vertical or horizontal redux).
Includes shortcuts for: sum, minCoeff and maxCoeff.
There is no shortcut for the partial redux.
* Added a generic *visitor* mini framework. A visitor is a custom object
sequentially applied on each coefficient with knowledge of its value and
coordinates.
It is currentlly used to implement minCoeff(int*,int*) and maxCoeff(int*,int*).
findBiggestCoeff is now a shortcut for "this->cwiseAbs().maxCoeff(i,j)"
* Added coeff-wise min and max.
* fixed an issue with ei_pow(int,int) and gcc < 4.3 or ICC
|
|
|
|
|
| |
- reimplement trace() as just diagonal().sum()
- apidoc fixes
|