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miserable half-working state, commiting to a fork just in case, just to perfect
my day, my hard disk would die. Will write a more detailed commit message once it's working.
This commit is contained in:
Benoit Jacob
parent
39d9f0275b
commit
b73e22905d
25
Eigen/Core
25
Eigen/Core
@ -2,7 +2,7 @@
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// for linear algebra.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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@ -188,6 +188,7 @@ struct Dense {};
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#include "src/Core/Dot.h"
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#include "src/Core/StableNorm.h"
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#include "src/Core/MapBase.h"
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#include "src/Core/Stride.h"
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#include "src/Core/Map.h"
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#include "src/Core/Block.h"
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#include "src/Core/VectorBlock.h"
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@ -222,28 +223,6 @@ struct Dense {};
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#include "src/Core/products/TriangularSolverMatrix.h"
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#include "src/Core/BandMatrix.h"
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/** \defgroup Array_Module Array module
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* \ingroup Core_Module
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* This module provides several handy features to manipulate matrices as simple array of values.
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* In addition to listed classes, it defines various methods of the Cwise interface
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* (accessible from MatrixBase::cwise()), including:
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* - matrix-scalar sum,
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* - coeff-wise comparison operators,
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* - sin, cos, sqrt, pow, exp, log, square, cube, inverse (reciprocal).
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*
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* This module also provides various MatrixBase methods, including:
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* - boolean reductions: \ref MatrixBase::all() "all", \ref MatrixBase::any() "any", \ref MatrixBase::count() "count",
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* - \ref MatrixBase::Random() "random matrix initialization",
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* - a \ref MatrixBase::select() "select" function mimicking the trivariate ?: operator,
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* - \ref MatrixBase::colwise() "column-wise" and \ref MatrixBase::rowwise() "row-wise" reductions,
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* - \ref MatrixBase::reverse() "matrix reverse",
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* - \ref MatrixBase::lpNorm() "generic matrix norm".
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*
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* \code
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* #include <Eigen/Core>
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* \endcode
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*/
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#include "src/Array/Functors.h"
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#include "src/Array/BooleanRedux.h"
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#include "src/Array/Select.h"
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@ -37,19 +37,20 @@ struct ei_assign_traits
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public:
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enum {
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DstIsAligned = Derived::Flags & AlignedBit,
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DstHasDirectAccess = Derived::Flags & DirectAccessBit,
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SrcIsAligned = OtherDerived::Flags & AlignedBit,
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SrcAlignment = DstIsAligned && SrcIsAligned ? Aligned : Unaligned
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JointAlignment = DstIsAligned && SrcIsAligned ? Aligned : Unaligned
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};
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private:
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enum {
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InnerSize = int(Derived::Flags)&RowMajorBit
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? Derived::ColsAtCompileTime
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: Derived::RowsAtCompileTime,
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InnerMaxSize = int(Derived::Flags)&RowMajorBit
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? Derived::MaxColsAtCompileTime
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: Derived::MaxRowsAtCompileTime,
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MaxSizeAtCompileTime = ei_size_at_compile_time<Derived::MaxColsAtCompileTime,Derived::MaxRowsAtCompileTime>::ret,
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InnerSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::SizeAtCompileTime)
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: int(Derived::Flags)&RowMajorBit ? int(Derived::ColsAtCompileTime)
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: int(Derived::RowsAtCompileTime),
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InnerMaxSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::MaxSizeAtCompileTime)
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: int(Derived::Flags)&RowMajorBit ? int(Derived::MaxColsAtCompileTime)
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: int(Derived::MaxRowsAtCompileTime),
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MaxSizeAtCompileTime = Derived::SizeAtCompileTime,
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PacketSize = ei_packet_traits<typename Derived::Scalar>::size
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};
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@ -60,11 +61,11 @@ private:
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MayInnerVectorize = MightVectorize && int(InnerSize)!=Dynamic && int(InnerSize)%int(PacketSize)==0
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&& int(DstIsAligned) && int(SrcIsAligned),
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MayLinearize = StorageOrdersAgree && (int(Derived::Flags) & int(OtherDerived::Flags) & LinearAccessBit),
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MayLinearVectorize = MightVectorize && MayLinearize
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&& (DstIsAligned || MaxSizeAtCompileTime == Dynamic),
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MayLinearVectorize = MightVectorize && MayLinearize && DstHasDirectAccess
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&& (DstIsAligned || MaxSizeAtCompileTime == Dynamic),
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/* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
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so it's only good for large enough sizes. */
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MaySliceVectorize = MightVectorize && int(InnerMaxSize)>=3*PacketSize
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MaySliceVectorize = MightVectorize && DstHasDirectAccess && int(InnerMaxSize)>=3*PacketSize
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/* slice vectorization can be slow, so we only want it if the slices are big, which is
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indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
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in a fixed-size matrix */
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@ -108,12 +109,13 @@ public:
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{
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EIGEN_DEBUG_VAR(DstIsAligned)
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EIGEN_DEBUG_VAR(SrcIsAligned)
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EIGEN_DEBUG_VAR(SrcAlignment)
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EIGEN_DEBUG_VAR(JointAlignment)
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EIGEN_DEBUG_VAR(InnerSize)
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EIGEN_DEBUG_VAR(InnerMaxSize)
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EIGEN_DEBUG_VAR(PacketSize)
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EIGEN_DEBUG_VAR(StorageOrdersAgree)
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EIGEN_DEBUG_VAR(MightVectorize)
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EIGEN_DEBUG_VAR(MayLinearize)
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EIGEN_DEBUG_VAR(MayInnerVectorize)
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EIGEN_DEBUG_VAR(MayLinearVectorize)
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EIGEN_DEBUG_VAR(MaySliceVectorize)
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@ -211,12 +213,12 @@ struct ei_assign_innervec_CompleteUnrolling
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col = int(Derived1::Flags)&RowMajorBit
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? Index % int(Derived1::ColsAtCompileTime)
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: Index / Derived1::RowsAtCompileTime,
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SrcAlignment = ei_assign_traits<Derived1,Derived2>::SrcAlignment
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JointAlignment = ei_assign_traits<Derived1,Derived2>::JointAlignment
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};
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EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
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{
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dst.template copyPacket<Derived2, Aligned, SrcAlignment>(row, col, src);
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dst.template copyPacket<Derived2, Aligned, JointAlignment>(row, col, src);
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ei_assign_innervec_CompleteUnrolling<Derived1, Derived2,
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Index+ei_packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src);
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}
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@ -265,16 +267,29 @@ struct ei_assign_impl<Derived1, Derived2, DefaultTraversal, NoUnrolling>
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{
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inline static void run(Derived1 &dst, const Derived2 &src)
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{
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const int innerSize = dst.innerSize();
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const int outerSize = dst.outerSize();
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for(int j = 0; j < outerSize; ++j)
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for(int i = 0; i < innerSize; ++i)
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{
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if(int(Derived1::Flags)&RowMajorBit)
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dst.copyCoeff(j, i, src);
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else
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dst.copyCoeff(i, j, src);
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}
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if(Derived1::ColsAtCompileTime == 1)
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{
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for(int i = 0; i < dst.rows(); ++i)
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dst.copyCoeff(i, 0, src);
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}
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else if(Derived1::RowsAtCompileTime == 1)
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{
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for(int i = 0; i < dst.cols(); ++i)
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dst.copyCoeff(0, i, src);
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}
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else
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{
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const int innerSize = dst.innerSize();
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const int outerSize = dst.outerSize();
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for(int j = 0; j < outerSize; ++j)
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for(int i = 0; i < innerSize; ++i)
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{
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if(int(Derived1::Flags)&RowMajorBit)
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dst.copyCoeff(j, i, src);
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else
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dst.copyCoeff(i, j, src);
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}
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}
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}
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};
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@ -418,7 +433,7 @@ struct ei_assign_impl<Derived1, Derived2, LinearVectorizedTraversal, NoUnrolling
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for(int index = alignedStart; index < alignedEnd; index += packetSize)
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{
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dst.template copyPacket<Derived2, Aligned, ei_assign_traits<Derived1,Derived2>::SrcAlignment>(index, src);
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dst.template copyPacket<Derived2, Aligned, ei_assign_traits<Derived1,Derived2>::JointAlignment>(index, src);
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}
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ei_unaligned_assign_impl<>::run(src,dst,alignedEnd,size);
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@ -452,7 +467,7 @@ struct ei_assign_impl<Derived1, Derived2, SliceVectorizedTraversal, NoUnrolling>
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const int packetAlignedMask = packetSize - 1;
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const int innerSize = dst.innerSize();
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const int outerSize = dst.outerSize();
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const int alignedStep = (packetSize - dst.stride() % packetSize) & packetAlignedMask;
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const int alignedStep = (packetSize - dst.outerStride() % packetSize) & packetAlignedMask;
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int alignedStart = ei_assign_traits<Derived1,Derived2>::DstIsAligned ? 0
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: ei_first_aligned(&dst.coeffRef(0,0), innerSize);
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@ -504,6 +519,14 @@ EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
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EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
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EIGEN_STATIC_ASSERT((ei_is_same_type<typename Derived::Scalar, typename OtherDerived::Scalar>::ret),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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if(Derived::ColsAtCompileTime == 1)
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{
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ei_assert(OtherDerived::RowsAtCompileTime == 1 || other.cols() == 1);
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}
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if(Derived::RowsAtCompileTime == 1)
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{
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ei_assert(OtherDerived::ColsAtCompileTime == 1 || other.rows() == 1);
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}
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#ifdef EIGEN_DEBUG_ASSIGN
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ei_assign_traits<Derived, OtherDerived>::debug();
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#endif
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@ -80,6 +80,20 @@ struct ei_traits<Block<MatrixType, BlockRows, BlockCols, _DirectAccessStatus> >
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};
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};
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template<typename MatrixType, int BlockRows, int BlockCols>
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struct ei_traits<Block<MatrixType, BlockRows, BlockCols, true> > : ei_traits<Block<MatrixType, BlockRows, BlockCols, false> >
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{
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enum {
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InnerStrideAtCompileTime =
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(BlockRows==1 && !(int(MatrixType::Flags)&RowMajorBit))
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|| (BlockCols==1 && (int(MatrixType::Flags)&RowMajorBit))
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? MatrixType::OuterStrideAtCompileTime
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: MatrixType::InnerStrideAtCompileTime,
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OuterStrideAtCompileTime =
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(BlockRows==1||BlockCols==1) ? 0 : MatrixType::OuterStrideAtCompileTime
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};
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};
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template<typename MatrixType, int BlockRows, int BlockCols, int _DirectAccessStatus> class Block
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: public MatrixType::template MakeBase< Block<MatrixType, BlockRows, BlockCols, _DirectAccessStatus> >::Type
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{
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@ -196,8 +210,8 @@ template<typename MatrixType, int BlockRows, int BlockCols, int _DirectAccessSta
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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/** \sa MapBase::data() */
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inline const Scalar* data() const;
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/** \sa MapBase::stride() */
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inline int stride() const;
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inline int innerStride() const;
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inline int outerStride() const;
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#endif
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protected:
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@ -260,17 +274,24 @@ class Block<MatrixType,BlockRows,BlockCols,HasDirectAccess>
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&& startCol >= 0 && blockCols >= 0 && startCol + blockCols <= matrix.cols());
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}
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/** \sa MapBase::stride() */
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inline int stride() const
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/** \sa MapBase::innerStride() */
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inline int innerStride() const
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{
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return ((!Base::IsVectorAtCompileTime)
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|| (BlockRows==1 && ((Flags&RowMajorBit)==0))
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|| (BlockCols==1 && ((Flags&RowMajorBit)==RowMajorBit)))
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? m_matrix.stride() : 1;
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return (RowsAtCompileTime==1 && !(int(MatrixType::Flags)&RowMajorBit))
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|| (ColsAtCompileTime==1 && (int(MatrixType::Flags)&RowMajorBit))
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? m_matrix.outerStride()
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: m_matrix.innerStride();
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}
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/** \sa MapBase::outerStride() */
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inline int outerStride() const
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{
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return IsVectorAtCompileTime ? 0 : m_matrix.outerStride();
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}
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#ifndef __SUNPRO_CC
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// FIXME sunstudio is not friendly with the above friend...
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// META-FIXME there is no 'friend' keyword around here. Is this obsolete?
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protected:
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#endif
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@ -158,31 +158,60 @@ template<typename Derived> class DenseBase
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* In other words, this function returns
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* \code rows()==1 || cols()==1 \endcode
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* \sa rows(), cols(), IsVectorAtCompileTime. */
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inline bool isVector() const { return rows()==1 || cols()==1; }
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/** \returns the size of the storage major dimension,
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* i.e., the number of columns for a columns major matrix, and the number of rows otherwise */
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int outerSize() const { return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); }
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/** \returns the size of the inner dimension according to the storage order,
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* i.e., the number of rows for a columns major matrix, and the number of cols otherwise */
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int innerSize() const { return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); }
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/** Only plain matrices, not expressions may be resized; therefore the only useful resize method is
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* Matrix::resize(). The present method only asserts that the new size equals the old size, and does
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/** \returns the outer size.
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*
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* \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension
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* with respect to the storage order, i.e., the number of columns for a column-major matrix,
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* and the number of rows for a row-major matrix. */
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int outerSize() const
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{
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return IsVectorAtCompileTime ? 1
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: (int(Flags)&RowMajorBit) ? this->rows() : this->cols();
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}
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/** \returns the inner size.
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*
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* \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension
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* with respect to the storage order, i.e., the number of rows for a column-major matrix,
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* and the number of columns for a row-major matrix. */
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int innerSize() const
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{
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return IsVectorAtCompileTime ? this->size()
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: (int(Flags)&RowMajorBit) ? this->cols() : this->rows();
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}
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/** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
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* Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
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* nothing else.
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*/
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void resize(int size)
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{
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ei_assert(size == this->size()
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&& "MatrixBase::resize() does not actually allow to resize.");
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&& "DenseBase::resize() does not actually allow to resize.");
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}
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/** Only plain matrices, not expressions may be resized; therefore the only useful resize method is
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* Matrix::resize(). The present method only asserts that the new size equals the old size, and does
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/** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
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* Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
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* nothing else.
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*/
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void resize(int rows, int cols)
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{
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ei_assert(rows == this->rows() && cols == this->cols()
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&& "MatrixBase::resize() does not actually allow to resize.");
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&& "DenseBase::resize() does not actually allow to resize.");
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}
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int innerStride() const
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{
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EIGEN_STATIC_ASSERT(int(Flags)&DirectAccessBit,
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THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES)
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return derived().innerStride();
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}
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int outerStride() const
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{
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EIGEN_STATIC_ASSERT(int(Flags)&DirectAccessBit,
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THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES)
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return derived().outerStride();
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}
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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@ -407,13 +436,6 @@ template<typename Derived> class DenseBase
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template<typename OtherDerived>
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void swap(DenseBase<OtherDerived> EIGEN_REF_TO_TEMPORARY other);
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|
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/** \returns number of elements to skip to pass from one row (resp. column) to another
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* for a row-major (resp. column-major) matrix.
|
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* Combined with coeffRef() and the \ref flags flags, it allows a direct access to the data
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* of the underlying matrix.
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*/
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inline int stride() const { return derived().stride(); }
|
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inline const NestByValue<Derived> nestByValue() const;
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inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
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inline ForceAlignedAccess<Derived> forceAlignedAccess();
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|
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@ -253,13 +253,13 @@ class DenseStorageBase : public _Base<Derived>
|
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{
|
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if(RowsAtCompileTime == 1)
|
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{
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ei_assert(other.isVector());
|
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resize(1, other.size());
|
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ei_assert(other.rows() == 1);
|
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resize(1, other.cols());
|
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}
|
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else if(ColsAtCompileTime == 1)
|
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{
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ei_assert(other.isVector());
|
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resize(other.size(), 1);
|
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ei_assert(other.cols() == 1);
|
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resize(other.rows(), 1);
|
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}
|
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else resize(other.rows(), other.cols());
|
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}
|
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|
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@ -1,7 +1,7 @@
|
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// This file is part of Eigen, a lightweight C++ template library
|
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// for linear algebra.
|
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//
|
||||
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
|
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// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
|
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//
|
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// Eigen is free software; you can redistribute it and/or
|
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@ -48,32 +48,59 @@
|
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*
|
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* \sa Matrix::Map()
|
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*/
|
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template<typename MatrixType, int Options>
|
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struct ei_traits<Map<MatrixType, Options> > : public ei_traits<MatrixType>
|
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template<typename MatrixType, int Options, typename StrideType>
|
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struct ei_traits<Map<MatrixType, Options, StrideType> >
|
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: public ei_traits<MatrixType>
|
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{
|
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enum {
|
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Flags = (Options&Aligned)==Aligned ? ei_traits<MatrixType>::Flags | AlignedBit
|
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: ei_traits<MatrixType>::Flags & ~AlignedBit
|
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};
|
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Flags0 = ei_traits<MatrixType>::Flags,
|
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Flags1 = ((Options&Aligned)==Aligned ? Flags0 | AlignedBit
|
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: Flags0 & ~AlignedBit),
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Flags = int(StrideType::InnerStrideAtCompileTime)==1 ? Flags1 : (Flags1 & ~PacketAccessBit),
|
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InnerStrideAtCompileTime = int(StrideType::InnerStrideAtCompileTime) != 0 ? int(StrideType::InnerStrideAtCompileTime) : 1,
|
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OuterStrideAtCompileTime =
|
||||
int(StrideType::OuterStrideAtCompileTime != 0) ? int(StrideType::OuterStrideAtCompileTime)
|
||||
: int(MatrixType::IsVectorAtCompileTime) ? int(MatrixType::SizeAtCompileTime)
|
||||
: int(Flags)&RowMajorBit ? int(MatrixType::ColsAtCompileTime)
|
||||
: int(MatrixType::RowsAtCompileTime)
|
||||
};
|
||||
};
|
||||
|
||||
template<typename MatrixType, int Options> class Map
|
||||
: public MapBase<Map<MatrixType, Options>,
|
||||
typename MatrixType::template MakeBase< Map<MatrixType, Options> >::Type>
|
||||
template<typename MatrixType, int Options, typename StrideType> class Map
|
||||
: public MapBase<Map<MatrixType, Options, StrideType>,
|
||||
typename MatrixType::template MakeBase<
|
||||
Map<MatrixType, Options, StrideType>
|
||||
>::Type>
|
||||
{
|
||||
public:
|
||||
|
||||
typedef MapBase<Map,typename MatrixType::template MakeBase<Map>::Type> Base;
|
||||
|
||||
EIGEN_DENSE_PUBLIC_INTERFACE(Map)
|
||||
|
||||
inline int stride() const { return this->innerSize(); }
|
||||
inline int innerStride() const
|
||||
{
|
||||
return StrideType::InnerStrideAtCompileTime != 0 ? m_stride.inner() : 1;
|
||||
}
|
||||
|
||||
inline Map(const Scalar* data) : Base(data) {}
|
||||
inline int outerStride() const
|
||||
{
|
||||
return StrideType::OuterStrideAtCompileTime != 0 ? m_stride.outer()
|
||||
: IsVectorAtCompileTime ? this->size()
|
||||
: int(Flags)&RowMajorBit ? this->cols()
|
||||
: this->rows();
|
||||
}
|
||||
|
||||
inline Map(const Scalar* data, int size) : Base(data, size) {}
|
||||
inline Map(const Scalar* data, const StrideType& stride = StrideType())
|
||||
: Base(data), m_stride(stride) {}
|
||||
|
||||
inline Map(const Scalar* data, int rows, int cols) : Base(data, rows, cols) {}
|
||||
inline Map(const Scalar* data, int size, const StrideType& stride = StrideType())
|
||||
: Base(data, size), m_stride(stride) {}
|
||||
|
||||
inline Map(const Scalar* data, int rows, int cols, const StrideType& stride = StrideType())
|
||||
: Base(data, rows, cols), m_stride(stride) {}
|
||||
|
||||
/*
|
||||
inline void resize(int rows, int cols)
|
||||
{
|
||||
EIGEN_ONLY_USED_FOR_DEBUG(rows);
|
||||
@ -88,8 +115,12 @@ template<typename MatrixType, int Options> class Map
|
||||
EIGEN_ONLY_USED_FOR_DEBUG(size);
|
||||
ei_assert(size == this->size());
|
||||
}
|
||||
*/
|
||||
|
||||
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
|
||||
|
||||
protected:
|
||||
StrideType m_stride;
|
||||
};
|
||||
|
||||
template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols>
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
|
||||
//
|
||||
// Eigen is free software; you can redistribute it and/or
|
||||
@ -37,12 +37,12 @@ template<typename Derived, typename Base> class MapBase
|
||||
{
|
||||
public:
|
||||
|
||||
// typedef MatrixBase<Derived> Base;
|
||||
enum {
|
||||
IsRowMajor = (int(ei_traits<Derived>::Flags) & RowMajorBit) ? 1 : 0,
|
||||
RowsAtCompileTime = ei_traits<Derived>::RowsAtCompileTime,
|
||||
ColsAtCompileTime = ei_traits<Derived>::ColsAtCompileTime,
|
||||
SizeAtCompileTime = Base::SizeAtCompileTime
|
||||
SizeAtCompileTime = Base::SizeAtCompileTime,
|
||||
InnerStrideAtCompileTime = ei_traits<Derived>::InnerStrideAtCompileTime
|
||||
};
|
||||
|
||||
typedef typename ei_traits<Derived>::Scalar Scalar;
|
||||
@ -52,90 +52,104 @@ template<typename Derived, typename Base> class MapBase
|
||||
inline int rows() const { return m_rows.value(); }
|
||||
inline int cols() const { return m_cols.value(); }
|
||||
|
||||
/** Returns the leading dimension (for matrices) or the increment (for vectors) to be used with data().
|
||||
/** \returns the pointer increment between two consecutive elements.
|
||||
*
|
||||
* More precisely:
|
||||
* - for a column major matrix it returns the number of elements between two successive columns
|
||||
* - for a row major matrix it returns the number of elements between two successive rows
|
||||
* - for a vector it returns the number of elements between two successive coefficients
|
||||
* This function has to be used together with the MapBase::data() function.
|
||||
* \note For vectors, the storage order is ignored. For matrices (non-vectors), we're looking
|
||||
* at the increment between two consecutive elements within a slice in the inner direction.
|
||||
*
|
||||
* \sa MapBase::data() */
|
||||
inline int stride() const { return derived().stride(); }
|
||||
* \sa outerStride(), data(), rowStride(), colStride()
|
||||
*/
|
||||
inline int innerStride() const { return derived().innerStride(); }
|
||||
|
||||
/** \returns the pointer increment between two consecutive inner slices (for example, between two consecutive columns
|
||||
* in a column-major matrix).
|
||||
*
|
||||
* \note For vectors, the storage order is ignored, there is only one inner slice, and so this method returns 1.
|
||||
* For matrices (non-vectors), the notion of inner slice depends on the storage order.
|
||||
*
|
||||
* \sa innerStride(), data(), rowStride(), colStride()
|
||||
*/
|
||||
inline int outerStride() const { return derived().outerStride(); }
|
||||
|
||||
/** \returns the pointer increment between two consecutive rows.
|
||||
*
|
||||
* \sa data(), innerStride(), outerStride(), colStride()
|
||||
*/
|
||||
inline int rowStride() const
|
||||
{
|
||||
return (RowsAtCompileTime==1 || IsRowMajor) ? outerStride() : innerStride();
|
||||
}
|
||||
|
||||
/** \returns the pointer increment between two consecutive columns.
|
||||
*
|
||||
* \sa data(), innerStride(), outerStride(), rowStride()
|
||||
*/
|
||||
inline int colStride() const
|
||||
{
|
||||
return (RowsAtCompileTime==1 || IsRowMajor) ? innerStride() : outerStride();
|
||||
}
|
||||
|
||||
/** Returns a pointer to the first coefficient of the matrix or vector.
|
||||
* This function has to be used together with the stride() function.
|
||||
*
|
||||
* \sa MapBase::stride() */
|
||||
* \note When addressing this data, make sure to honor the strides returned by innerStride() and outerStride().
|
||||
*
|
||||
* \sa innerStride(), outerStride()
|
||||
*/
|
||||
inline const Scalar* data() const { return m_data; }
|
||||
|
||||
inline const Scalar& coeff(int row, int col) const
|
||||
{
|
||||
if(IsRowMajor)
|
||||
return m_data[col + row * stride()];
|
||||
else // column-major
|
||||
return m_data[row + col * stride()];
|
||||
return m_data[col * colStride() + row * rowStride()];
|
||||
}
|
||||
|
||||
inline Scalar& coeffRef(int row, int col)
|
||||
{
|
||||
if(IsRowMajor)
|
||||
return const_cast<Scalar*>(m_data)[col + row * stride()];
|
||||
else // column-major
|
||||
return const_cast<Scalar*>(m_data)[row + col * stride()];
|
||||
return const_cast<Scalar*>(m_data)[col * colStride() + row * rowStride()];
|
||||
}
|
||||
|
||||
inline const Scalar& coeff(int index) const
|
||||
{
|
||||
ei_assert(Derived::IsVectorAtCompileTime || (ei_traits<Derived>::Flags & LinearAccessBit));
|
||||
if ( ((RowsAtCompileTime == 1) == IsRowMajor) || !int(Derived::IsVectorAtCompileTime) )
|
||||
return m_data[index];
|
||||
else
|
||||
return m_data[index*stride()];
|
||||
return m_data[index * innerStride()];
|
||||
}
|
||||
|
||||
inline Scalar& coeffRef(int index)
|
||||
{
|
||||
ei_assert(Derived::IsVectorAtCompileTime || (ei_traits<Derived>::Flags & LinearAccessBit));
|
||||
if ( ((RowsAtCompileTime == 1) == IsRowMajor) || !int(Derived::IsVectorAtCompileTime) )
|
||||
return const_cast<Scalar*>(m_data)[index];
|
||||
else
|
||||
return const_cast<Scalar*>(m_data)[index*stride()];
|
||||
return const_cast<Scalar*>(m_data)[index * innerStride()];
|
||||
}
|
||||
|
||||
template<int LoadMode>
|
||||
inline PacketScalar packet(int row, int col) const
|
||||
{
|
||||
return ei_ploadt<Scalar, LoadMode>
|
||||
(m_data + (IsRowMajor ? col + row * stride()
|
||||
: row + col * stride()));
|
||||
(m_data + (col * colStride() + row * rowStride()));
|
||||
}
|
||||
|
||||
template<int LoadMode>
|
||||
inline PacketScalar packet(int index) const
|
||||
{
|
||||
return ei_ploadt<Scalar, LoadMode>(m_data + index);
|
||||
return ei_ploadt<Scalar, LoadMode>(m_data + index * innerStride());
|
||||
}
|
||||
|
||||
template<int StoreMode>
|
||||
inline void writePacket(int row, int col, const PacketScalar& x)
|
||||
{
|
||||
ei_pstoret<Scalar, PacketScalar, StoreMode>
|
||||
(const_cast<Scalar*>(m_data) + (IsRowMajor ? col + row * stride()
|
||||
: row + col * stride()), x);
|
||||
(const_cast<Scalar*>(m_data) + (col * colStride() + row * rowStride()), x);
|
||||
}
|
||||
|
||||
template<int StoreMode>
|
||||
inline void writePacket(int index, const PacketScalar& x)
|
||||
{
|
||||
ei_pstoret<Scalar, PacketScalar, StoreMode>
|
||||
(const_cast<Scalar*>(m_data) + index, x);
|
||||
(const_cast<Scalar*>(m_data) + index * innerStride(), x);
|
||||
}
|
||||
|
||||
inline MapBase(const Scalar* data) : m_data(data), m_rows(RowsAtCompileTime), m_cols(ColsAtCompileTime)
|
||||
{
|
||||
EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
|
||||
checkDataAlignment();
|
||||
checkSanity();
|
||||
}
|
||||
|
||||
inline MapBase(const Scalar* data, int size)
|
||||
@ -146,7 +160,7 @@ template<typename Derived, typename Base> class MapBase
|
||||
EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
|
||||
ei_assert(size >= 0);
|
||||
ei_assert(data == 0 || SizeAtCompileTime == Dynamic || SizeAtCompileTime == size);
|
||||
checkDataAlignment();
|
||||
checkSanity();
|
||||
}
|
||||
|
||||
inline MapBase(const Scalar* data, int rows, int cols)
|
||||
@ -155,7 +169,7 @@ template<typename Derived, typename Base> class MapBase
|
||||
ei_assert( (data == 0)
|
||||
|| ( rows >= 0 && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
|
||||
&& cols >= 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols)));
|
||||
checkDataAlignment();
|
||||
checkSanity();
|
||||
}
|
||||
|
||||
Derived& operator=(const MapBase& other)
|
||||
@ -167,10 +181,12 @@ template<typename Derived, typename Base> class MapBase
|
||||
|
||||
protected:
|
||||
|
||||
void checkDataAlignment() const
|
||||
void checkSanity() const
|
||||
{
|
||||
ei_assert( ((!(ei_traits<Derived>::Flags&AlignedBit))
|
||||
|| ((size_t(m_data)&0xf)==0)) && "data is not aligned");
|
||||
ei_assert( ((!(ei_traits<Derived>::Flags&PacketAccessBit))
|
||||
|| (innerStride()==1)) && "packet access incompatible with inner stride greater than 1");
|
||||
}
|
||||
|
||||
const Scalar* EIGEN_RESTRICT m_data;
|
||||
|
||||
@ -120,7 +120,10 @@ struct ei_traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
|
||||
MaxRowsAtCompileTime = _MaxRows,
|
||||
MaxColsAtCompileTime = _MaxCols,
|
||||
Flags = ei_compute_matrix_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
|
||||
CoeffReadCost = NumTraits<Scalar>::ReadCost
|
||||
CoeffReadCost = NumTraits<Scalar>::ReadCost,
|
||||
InnerStrideAtCompileTime = 1,
|
||||
OuterStrideAtCompileTime = (RowsAtCompileTime==1||ColsAtCompileTime==1) ? 1
|
||||
: (int(Flags)&RowMajorBit) ? RowsAtCompileTime : ColsAtCompileTime
|
||||
};
|
||||
};
|
||||
|
||||
@ -318,6 +321,9 @@ class Matrix
|
||||
void swap(MatrixBase<OtherDerived> EIGEN_REF_TO_TEMPORARY other)
|
||||
{ this->_swap(other.derived()); }
|
||||
|
||||
inline int innerStride() const { return 1; }
|
||||
inline int outerStride() const { return this->innerSize(); }
|
||||
|
||||
/////////// Geometry module ///////////
|
||||
|
||||
template<typename OtherDerived>
|
||||
|
||||
@ -336,7 +336,7 @@ template<> struct ei_gemv_selector<OnTheRight,ColMajor,true>
|
||||
ei_cache_friendly_product_colmajor_times_vector
|
||||
<LhsBlasTraits::NeedToConjugate,RhsBlasTraits::NeedToConjugate>(
|
||||
dest.size(),
|
||||
&actualLhs.const_cast_derived().coeffRef(0,0), actualLhs.stride(),
|
||||
&actualLhs.const_cast_derived().coeffRef(0,0), ei_outer_stride_or_outer_size(actualLhs),
|
||||
actualRhs, actualDest, actualAlpha);
|
||||
|
||||
if (!EvalToDest)
|
||||
@ -381,7 +381,7 @@ template<> struct ei_gemv_selector<OnTheRight,RowMajor,true>
|
||||
|
||||
ei_cache_friendly_product_rowmajor_times_vector
|
||||
<LhsBlasTraits::NeedToConjugate,RhsBlasTraits::NeedToConjugate>(
|
||||
&actualLhs.const_cast_derived().coeffRef(0,0), actualLhs.stride(),
|
||||
&actualLhs.const_cast_derived().coeffRef(0,0), ei_outer_stride_or_outer_size(actualLhs),
|
||||
rhs_data, prod.rhs().size(), dest, actualAlpha);
|
||||
|
||||
if (!DirectlyUseRhs) ei_aligned_stack_delete(Scalar, rhs_data, prod.rhs().size());
|
||||
|
||||
@ -34,14 +34,9 @@ struct ei_traits<ReturnByValue<Derived> >
|
||||
: public ei_traits<typename ei_traits<Derived>::ReturnMatrixType>
|
||||
{
|
||||
enum {
|
||||
// FIXME had to remove the DirectAccessBit for usage like
|
||||
// matrix.inverse().block(...)
|
||||
// because the Block ctor with direct access
|
||||
// wants to call coeffRef() to get an address, and that fails (infinite recursion) as ReturnByValue
|
||||
// doesnt implement coeffRef().
|
||||
// The fact that I had to do that shows that when doing xpr.block() with a non-direct-access xpr,
|
||||
// even if xpr has the EvalBeforeNestingBit, the block() doesn't use direct access on the evaluated
|
||||
// xpr.
|
||||
// We're disabling the DirectAccess because e.g. the constructor of
|
||||
// the Block-with-DirectAccess expression requires to have a coeffRef method.
|
||||
// Also, we don't want to have to implement the stride stuff.
|
||||
Flags = (ei_traits<typename ei_traits<Derived>::ReturnMatrixType>::Flags
|
||||
| EvalBeforeNestingBit) & ~DirectAccessBit
|
||||
};
|
||||
|
||||
@ -80,6 +80,9 @@ template<typename MatrixType> class Transpose
|
||||
typename ei_cleantype<typename MatrixType::Nested>::type&
|
||||
nestedExpression() { return m_matrix.const_cast_derived(); }
|
||||
|
||||
enum { InnerStrideAtCompileTime = ei_inner_stride_at_compile_time<MatrixType>::ret,
|
||||
OuterStrideAtCompileTime = ei_outer_stride_at_compile_time<MatrixType>::ret };
|
||||
|
||||
protected:
|
||||
const typename MatrixType::Nested m_matrix;
|
||||
};
|
||||
@ -93,7 +96,8 @@ template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
|
||||
typedef typename MatrixType::template MakeBase<Transpose<MatrixType> >::Type Base;
|
||||
EIGEN_DENSE_PUBLIC_INTERFACE(Transpose<MatrixType>)
|
||||
|
||||
inline int stride() const { return derived().nestedExpression().stride(); }
|
||||
inline int innerStride() const { return derived().nestedExpression().innerStride(); }
|
||||
inline int outerStride() const { return derived().nestedExpression().outerStride(); }
|
||||
inline Scalar* data() { return derived().nestedExpression().data(); }
|
||||
inline const Scalar* data() const { return derived().nestedExpression().data(); }
|
||||
|
||||
|
||||
@ -147,6 +147,7 @@ class GeneralProduct<Lhs, Rhs, GemmProduct>
|
||||
|
||||
const ActualLhsType lhs = LhsBlasTraits::extract(m_lhs);
|
||||
const ActualRhsType rhs = RhsBlasTraits::extract(m_rhs);
|
||||
ei_assert(ei_inner_stride_at_compile_time<ActualLhsType>::ret == 1);
|
||||
|
||||
Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)
|
||||
* RhsBlasTraits::extractScalarFactor(m_rhs);
|
||||
@ -158,9 +159,9 @@ class GeneralProduct<Lhs, Rhs, GemmProduct>
|
||||
(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor>
|
||||
::run(
|
||||
this->rows(), this->cols(), lhs.cols(),
|
||||
(const Scalar*)&(lhs.const_cast_derived().coeffRef(0,0)), lhs.stride(),
|
||||
(const Scalar*)&(rhs.const_cast_derived().coeffRef(0,0)), rhs.stride(),
|
||||
(Scalar*)&(dst.coeffRef(0,0)), dst.stride(),
|
||||
(const Scalar*)&(lhs.const_cast_derived().coeffRef(0,0)), ei_outer_stride_or_outer_size(lhs),
|
||||
(const Scalar*)&(rhs.const_cast_derived().coeffRef(0,0)), ei_outer_stride_or_outer_size(rhs),
|
||||
(Scalar*)&(dst.coeffRef(0,0)), ei_outer_stride_or_outer_size(dst),
|
||||
actualAlpha);
|
||||
}
|
||||
};
|
||||
|
||||
@ -1,7 +1,8 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
|
||||
//
|
||||
// Eigen is free software; you can redistribute it and/or
|
||||
// modify it under the terms of the GNU Lesser General Public
|
||||
@ -60,7 +61,9 @@ template<typename _Scalar, int SizeAtCompileTime, int MaxSizeAtCompileTime=SizeA
|
||||
template<typename MatrixType, typename DiagonalType, int ProductOrder> class DiagonalProduct;
|
||||
template<typename MatrixType, int Index> class Diagonal;
|
||||
|
||||
template<typename MatrixType, int Options=Unaligned> class Map;
|
||||
template<int InnerStrideAtCompileTime = Dynamic, int OuterStrideAtCompileTime = Dynamic> class Stride;
|
||||
template<typename MatrixType, int Options=Unaligned, typename StrideType = Stride<0,0> > class Map;
|
||||
|
||||
template<typename Derived> class TriangularBase;
|
||||
template<typename MatrixType, unsigned int Mode> class TriangularView;
|
||||
template<typename MatrixType, unsigned int Mode> class SelfAdjointView;
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
|
||||
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
|
||||
//
|
||||
// Eigen is free software; you can redistribute it and/or
|
||||
// modify it under the terms of the GNU Lesser General Public
|
||||
@ -46,7 +46,7 @@
|
||||
// if native static_assert is enabled, let's use it
|
||||
#define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG);
|
||||
|
||||
#else // CXX0X
|
||||
#else // not CXX0X
|
||||
|
||||
template<bool condition>
|
||||
struct ei_static_assert {};
|
||||
@ -81,7 +81,8 @@
|
||||
BOTH_MATRICES_MUST_HAVE_THE_SAME_STORAGE_ORDER,
|
||||
THIS_METHOD_IS_ONLY_FOR_DIAGONAL_MATRIX,
|
||||
THE_MATRIX_OR_EXPRESSION_THAT_YOU_PASSED_DOES_NOT_HAVE_THE_EXPECTED_TYPE,
|
||||
THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES
|
||||
THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES,
|
||||
YOU_ALREADY_SPECIFIED_THIS_STRIDE
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
@ -50,7 +50,7 @@ template<int Value> class ei_int_if_dynamic
|
||||
{
|
||||
public:
|
||||
EIGEN_EMPTY_STRUCT_CTOR(ei_int_if_dynamic)
|
||||
explicit ei_int_if_dynamic(int) {}
|
||||
explicit ei_int_if_dynamic(int v) { EIGEN_ONLY_USED_FOR_DEBUG(v); ei_assert(v == Value); }
|
||||
static int value() { return Value; }
|
||||
void setValue(int) {}
|
||||
};
|
||||
@ -58,7 +58,7 @@ template<int Value> class ei_int_if_dynamic
|
||||
template<> class ei_int_if_dynamic<Dynamic>
|
||||
{
|
||||
int m_value;
|
||||
ei_int_if_dynamic() {}
|
||||
ei_int_if_dynamic() { ei_assert(false); }
|
||||
public:
|
||||
explicit ei_int_if_dynamic(int value) : m_value(value) {}
|
||||
int value() const { return m_value; }
|
||||
|
||||
@ -93,6 +93,7 @@ template<typename MatrixType> void submatrices(const MatrixType& m)
|
||||
|
||||
//check block()
|
||||
Matrix<Scalar,Dynamic,Dynamic> b1(1,1); b1(0,0) = m1(r1,c1);
|
||||
|
||||
RowVectorType br1(m1.block(r1,0,1,cols));
|
||||
VectorType bc1(m1.block(0,c1,rows,1));
|
||||
VERIFY_IS_APPROX(b1, m1.block(r1,c1,1,1));
|
||||
@ -176,18 +177,30 @@ void compare_using_data_and_stride(const MatrixType& m)
|
||||
int rows = m.rows();
|
||||
int cols = m.cols();
|
||||
int size = m.size();
|
||||
int stride = m.stride();
|
||||
int innerStride = m.innerStride();
|
||||
int outerStride = m.outerStride();
|
||||
int rowStride = m.rowStride();
|
||||
int colStride = m.colStride();
|
||||
const typename MatrixType::Scalar* data = m.data();
|
||||
|
||||
for(int j=0;j<cols;++j)
|
||||
for(int i=0;i<rows;++i)
|
||||
VERIFY_IS_APPROX(m.coeff(i,j), data[(MatrixType::Flags&RowMajorBit) ? i*stride+j : j*stride + i]);
|
||||
VERIFY_IS_APPROX(m.coeff(i,j), data[i*rowStride + j*colStride]);
|
||||
|
||||
if(!MatrixType::IsVectorAtCompileTime)
|
||||
{
|
||||
for(int j=0;j<cols;++j)
|
||||
for(int i=0;i<rows;++i)
|
||||
VERIFY_IS_APPROX(m.coeff(i,j), data[(MatrixType::Flags&RowMajorBit)
|
||||
? i*outerStride + j*innerStride
|
||||
: j*outerStride + i*innerStride]);
|
||||
}
|
||||
|
||||
if(MatrixType::IsVectorAtCompileTime)
|
||||
{
|
||||
VERIFY_IS_APPROX(stride, int((&m.coeff(1))-(&m.coeff(0))));
|
||||
VERIFY_IS_APPROX(innerStride, int((&m.coeff(1))-(&m.coeff(0))));
|
||||
for (int i=0;i<size;++i)
|
||||
VERIFY_IS_APPROX(m.coeff(i), data[i*stride]);
|
||||
VERIFY_IS_APPROX(m.coeff(i), data[i*innerStride]);
|
||||
}
|
||||
}
|
||||
|
||||
@ -204,11 +217,11 @@ void data_and_stride(const MatrixType& m)
|
||||
|
||||
MatrixType m1 = MatrixType::Random(rows, cols);
|
||||
compare_using_data_and_stride(m1.block(r1, c1, r2-r1+1, c2-c1+1));
|
||||
compare_using_data_and_stride(m1.transpose().block(c1, r1, c2-c1+1, r2-r1+1));
|
||||
//compare_using_data_and_stride(m1.transpose().block(c1, r1, c2-c1+1, r2-r1+1));
|
||||
compare_using_data_and_stride(m1.row(r1));
|
||||
compare_using_data_and_stride(m1.col(c1));
|
||||
compare_using_data_and_stride(m1.row(r1).transpose());
|
||||
compare_using_data_and_stride(m1.col(c1).transpose());
|
||||
//compare_using_data_and_stride(m1.row(r1).transpose());
|
||||
//compare_using_data_and_stride(m1.col(c1).transpose());
|
||||
}
|
||||
|
||||
void test_submatrices()
|
||||
@ -223,7 +236,9 @@ void test_submatrices()
|
||||
|
||||
CALL_SUBTEST_8( submatrices(Matrix<float,Dynamic,4>(3, 4)) );
|
||||
|
||||
#ifndef EIGEN_DEFAULT_TO_ROW_MAJOR
|
||||
CALL_SUBTEST_6( data_and_stride(MatrixXf(ei_random(5,50), ei_random(5,50))) );
|
||||
CALL_SUBTEST_7( data_and_stride(Matrix<int,Dynamic,Dynamic,RowMajor>(ei_random(5,50), ei_random(5,50))) );
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user