| Commit message (Collapse) | Author | Age |
|---|
| |
|
|
| |
still fail at runtime in ei_aligned_free() (even without vectorization).
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| |
- 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
|
| |
|
|
|
|
|
|
| |
- added explicit enum to int conversion where needed
- if a function is not defined as declared and the return type is "tricky"
then the type must be typedefined somewhere. A "tricky return type" can be:
* a template class with a default parameter which depends on another template parameter
* a nested template class, or type of a nested template class
|
| |
|
|
| |
can be seen in Eigen/src/Core/Cwise.h.
|
| |
|
|
|
|
|
| |
* added complete implementation of sparse matrix product
(with a little glue in Eigen/Core)
* added an exhaustive bench of sparse products including GMM++ and MTL4
=> Eigen outperforms in all transposed/density configurations !
|
| |
|
|
|
|
|
|
| |
* rework PacketMath and DummyPacketMath, make these actual template
specializations instead of just overriding by non-template inline
functions
* introduce ei_ploadt and ei_pstoret, make use of them in Map and Matrix
* remove Matrix::map() methods, use Map constructors instead.
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
* added some glue to Eigen/Core (SparseBit, ei_eval, Matrix)
* add two new sparse matrix types:
HashMatrix: based on std::map (for random writes)
LinkedVectorMatrix: array of linked vectors
(for outer coherent writes, e.g. to transpose a matrix)
* add a SparseSetter class to easily set/update any kind of matrices, e.g.:
{ SparseSetter<MatrixType,RandomAccessPattern> wrapper(mymatrix);
for (...) wrapper->coeffRef(rand(),rand()) = rand(); }
* automatic shallow copy for RValue
* and a lot of mess !
plus:
* remove the remaining ArrayBit related stuff
* don't use alloca in product for very large memory allocation
|
| |
|
|
|
|
|
|
|
|
|
|
| |
* introduce packet(int), make use of it in linear vectorized paths
--> completely fixes the slowdown noticed in benchVecAdd.
* generalize coeff(int) to linear-access xprs
* clarify the access flag bits
* rework api dox in Coeffs.h and util/Constants.h
* improve certain expressions's flags, allowing more vectorization
* fix bug in Block: start(int) and end(int) returned dyn*dyn size
* fix bug in Block: just because the Eval type has packet access
doesn't imply the block xpr should have it too.
|
| |
|
|
|
|
| |
* make Matrix2f (and similar) vectorized using linear path
* fix a couple of warnings and compilation issues with ICC and gcc 3.3/3.4
(cannot get Transform compiles with gcc 3.3/3.4, see the FIXME)
|
| |
|
|
|
|
|
|
| |
* use ProductReturnType<>::Type to get the correct Product xpr type
* Product is no longer instanciated for xpr types which are evaluated
* vectorization of "a.transpose() * b" for the normal product (small and fixed-size matrix)
* some cleanning
* removed ArrayBase
|
| | |
|
| |
|
|
|
|
|
|
|
| |
now have the Like1D flag.
* Big renaming:
packetCoeff ---> packet
VectorizableBit ---> PacketAccessBit
Like1DArrayBit ---> LinearAccessBit
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
** Much better organization
** Fix a few bugs
** Add the ability to unroll only the inner loop
** Add an unrolled path to the Like1D vectorization. Not well tested.
** Add placeholder for sliced vectorization. Unimplemented.
* Rework of corrected_flags:
** improve rules determining vectorizability
** for vectors, the storage-order is indifferent, so we tweak it
to allow vectorization of row-vectors.
* fix compilation in benchmark, and a warning in Transpose.
|
| |
|
|
|
|
|
|
|
| |
flags. This ensures that unless explicitly messed up otherwise,
a Matrix type is equal to its own Eval type. This seriously reduces
the number of types instantiated. Measured +13% compile speed, -7%
binary size.
* Improve doc of Matrix template parameters.
|
| |
|
|
| |
(see notes in Core/util/StaticAssert.h for details)
|
| | |
|
| |
|
|
| |
In particular this flag changes the behavior of operator* to a coeff wise product.
|
| |
|
|
| |
this should be alpha5.
|
| |
|
|
|
|
|
|
|
|
|
| |
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.
|
| |
|
|
|
|
|
|
|
|
| |
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
|
| |
|
|
|
|
|
| |
- fallback to normal product for small dynamic matrices
- overloaded "c += (a * b).lazy()" to avoid the expensive and useless temporary and setZero()
in such very common cases.
* fix a couple of issues with the flags
|
| |
|
|
| |
Added a few typedef of complex return types in MatrixBase (Needed by MSVC)
|
| |
|
|
| |
Rename DefaultLostFlagMask --> HerediraryBits
|
| |
|
|
|
|
| |
* Fix a mistake in CwiseNullary.
* Added a CoreDeclarions header that declares only the forward declarations
and related basic stuffs.
|
| |
|
|
|
| |
* improved the flexibility of the new product implementation,
now all sizes seems to be properly handled.
|
| |
|
|
|
|
|
|
| |
- 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.
|
| |
|
|
|
|
|
|
|
| |
- let Inverse take template parameter MatrixType instead
of ExpressionType, in order to reduce executable code size
when taking inverses of xpr's.
- introduce ei_corrected_matrix_flags : the flags template
parameter to the Matrix class is only a suggestion. This
is also useful in ei_eval.
|
| |
|
|
| |
even if the xpr itself wasn't vectorizable.
|
| |
|
|
|
|
| |
fully optimized.
* Even if LargeBit is set, only parallelize for large enough objects
(controlled by EIGEN_PARALLELIZATION_TRESHOLD).
|
|
|
some more renaming
|
Gael Guennebaud
Benoit Jacob