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This commit is contained in:
Benoit Jacob 2009-10-06 09:27:01 -04:00
commit 24e1d3266a
4 changed files with 44 additions and 22 deletions
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14
Eigen/src/Core/StableNorm.h
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@ -108,21 +108,15 @@ MatrixBase<Derived>::blueNorm() const
iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent
rbig = std::numeric_limits<RealScalar>::max(); // largest floating-point number
// Check the basic machine-dependent constants.
if(iemin > 1 - 2*it || 1+it>iemax || (it==2 && ibeta<5)
|| (it<=4 && ibeta <= 3 ) || it<2)
{
ei_assert(false && "the algorithm cannot be guaranteed on this computer");
}
iexp = -((1-iemin)/2);
b1 = RealScalar(std::pow(double(ibeta),iexp)); // lower boundary of midrange
b1 = RealScalar(std::pow<RealScalar>(ibeta,iexp)); // lower boundary of midrange
iexp = (iemax + 1 - it)/2;
b2 = RealScalar(std::pow(double(ibeta),iexp)); // upper boundary of midrange
b2 = RealScalar(std::pow<RealScalar>(ibeta,iexp)); // upper boundary of midrange
iexp = (2-iemin)/2;
s1m = RealScalar(std::pow(double(ibeta),iexp)); // scaling factor for lower range
s1m = RealScalar(std::pow<RealScalar>(ibeta,iexp)); // scaling factor for lower range
iexp = - ((iemax+it)/2);
s2m = RealScalar(std::pow(double(ibeta),iexp)); // scaling factor for upper range
s2m = RealScalar(std::pow<RealScalar>(ibeta,iexp)); // scaling factor for upper range
overfl = rbig*s2m; // overfow boundary for abig
eps = RealScalar(std::pow(double(ibeta), 1-it));

33
Eigen/src/Core/products/GeneralMatrixVector.h
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@ -57,8 +57,7 @@ void ei_cache_friendly_product_colmajor_times_vector(
if(ConjugateRhs)
alpha = ei_conj(alpha);
// std::cerr << "prod " << size << " " << rhs.size() << "\n";
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef typename ei_packet_traits<Scalar>::type Packet;
const int PacketSize = sizeof(Packet)/sizeof(Scalar);
@ -69,9 +68,9 @@ void ei_cache_friendly_product_colmajor_times_vector(
const int PeelAlignedMask = PacketSize*peels-1;
// How many coeffs of the result do we have to skip to be aligned.
// Here we assume data are at least aligned on the base scalar type that is mandatory anyway.
const int alignedStart = ei_alignmentOffset(res,size);
const int alignedSize = PacketSize>1 ? alignedStart + ((size-alignedStart) & ~PacketAlignedMask) : 0;
// Here we assume data are at least aligned on the base scalar type.
int alignedStart = ei_alignmentOffset(res,size);
int alignedSize = PacketSize>1 ? alignedStart + ((size-alignedStart) & ~PacketAlignedMask) : 0;
const int peeledSize = peels>1 ? alignedStart + ((alignedSize-alignedStart) & ~PeelAlignedMask) : alignedStart;
const int alignmentStep = PacketSize>1 ? (PacketSize - lhsStride % PacketSize) & PacketAlignedMask : 0;
@ -84,7 +83,13 @@ void ei_cache_friendly_product_colmajor_times_vector(
// find how many columns do we have to skip to be aligned with the result (if possible)
int skipColumns = 0;
if (PacketSize>1)
// if the data cannot be aligned (TODO add some compile time tests when possible, e.g. for floats)
if( (size_t(lhs)%sizeof(RealScalar)) || (size_t(res)%sizeof(RealScalar)) )
{
alignedSize = 0;
alignedStart = 0;
}
else if (PacketSize>1)
{
ei_internal_assert(size_t(lhs+lhsAlignmentOffset)%sizeof(Packet)==0 || size<PacketSize);
@ -263,6 +268,7 @@ static EIGEN_DONT_INLINE void ei_cache_friendly_product_rowmajor_times_vector(
ei_conj_helper<ConjugateLhs,ConjugateRhs> cj;
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef typename ei_packet_traits<Scalar>::type Packet;
const int PacketSize = sizeof(Packet)/sizeof(Scalar);
@ -274,9 +280,10 @@ static EIGEN_DONT_INLINE void ei_cache_friendly_product_rowmajor_times_vector(
const int size = rhsSize;
// How many coeffs of the result do we have to skip to be aligned.
// Here we assume data are at least aligned on the base scalar type that is mandatory anyway.
const int alignedStart = ei_alignmentOffset(rhs, size);
const int alignedSize = PacketSize>1 ? alignedStart + ((size-alignedStart) & ~PacketAlignedMask) : 0;
// Here we assume data are at least aligned on the base scalar type
// if that's not the case then vectorization is discarded, see below.
int alignedStart = ei_alignmentOffset(rhs, size);
int alignedSize = PacketSize>1 ? alignedStart + ((size-alignedStart) & ~PacketAlignedMask) : 0;
const int peeledSize = peels>1 ? alignedStart + ((alignedSize-alignedStart) & ~PeelAlignedMask) : alignedStart;
const int alignmentStep = PacketSize>1 ? (PacketSize - lhsStride % PacketSize) & PacketAlignedMask : 0;
@ -289,7 +296,13 @@ static EIGEN_DONT_INLINE void ei_cache_friendly_product_rowmajor_times_vector(
// find how many rows do we have to skip to be aligned with rhs (if possible)
int skipRows = 0;
if (PacketSize>1)
// if the data cannot be aligned (TODO add some compile time tests when possible, e.g. for floats)
if( (size_t(lhs)%sizeof(RealScalar)) || (size_t(rhs)%sizeof(RealScalar)) )
{
alignedSize = 0;
alignedStart = 0;
}
else if (PacketSize>1)
{
ei_internal_assert(size_t(lhs+lhsAlignmentOffset)%sizeof(Packet)==0 || size<PacketSize);

15
test/stable_norm.cpp
View File

@ -33,6 +33,21 @@ template<typename MatrixType> void stable_norm(const MatrixType& m)
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
// Check the basic machine-dependent constants.
{
int nbig, ibeta, it, iemin, iemax, iexp;
RealScalar abig, eps;
ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers
it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in mantissa
iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent
iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent
VERIFY( (!(iemin > 1 - 2*it || 1+it>iemax || (it==2 && ibeta<5) || (it<=4 && ibeta <= 3 ) || it<2))
&& "the stable norm algorithm cannot be guaranteed on this computer");
}
int rows = m.rows();
int cols = m.cols();