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authorGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2010-10-25 10:15:22 -0400
committerGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2010-10-25 10:15:22 -0400
commit4716040703be1ee906439385d20475dcddad5ce3 (patch)
tree8efd3cf3007d8360e66f38e2d280127cbb70daa6 /bench/bench_norm.cpp
parentca85a1f6c5fc33ac382aa2d7ba2da63d55d3223e (diff)
bug #86 : use internal:: namespace instead of ei_ prefix
Diffstat (limited to 'bench/bench_norm.cpp')
-rw-r--r--bench/bench_norm.cpp118
1 files changed, 59 insertions, 59 deletions
diff --git a/bench/bench_norm.cpp b/bench/bench_norm.cpp
index 1436ddbf5..806db292c 100644
--- a/bench/bench_norm.cpp
+++ b/bench/bench_norm.cpp
@@ -32,18 +32,18 @@ EIGEN_DONT_INLINE typename T::Scalar lapackNorm(T& v)
Scalar ssq = 1;
for (int i=0;i<n;++i)
{
- Scalar ax = ei_abs(v.coeff(i));
+ Scalar ax = internal::abs(v.coeff(i));
if (scale >= ax)
{
- ssq += ei_abs2(ax/scale);
+ ssq += internal::abs2(ax/scale);
}
else
{
- ssq = Scalar(1) + ssq * ei_abs2(scale/ax);
+ ssq = Scalar(1) + ssq * internal::abs2(scale/ax);
scale = ax;
}
}
- return scale * ei_sqrt(ssq);
+ return scale * internal::sqrt(ssq);
}
template<typename T>
@@ -73,15 +73,15 @@ EIGEN_DONT_INLINE typename T::Scalar divacNorm(T& v)
v(i) = v(2*i) + v(2*i+1);
n = n/2;
}
- return ei_sqrt(v(0));
+ return internal::sqrt(v(0));
}
#ifdef EIGEN_VECTORIZE
-Packet4f ei_plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a,b); }
-Packet2d ei_plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a,b); }
+Packet4f internal::plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a,b); }
+Packet2d internal::plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a,b); }
-Packet4f ei_pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot_ps(a,b); }
-Packet2d ei_pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot_pd(a,b); }
+Packet4f internal::pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot_ps(a,b); }
+Packet2d internal::pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot_pd(a,b); }
#endif
template<typename T>
@@ -112,7 +112,7 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
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");
+ eigen_assert(false && "the algorithm cannot be guaranteed on this computer");
}
iexp = -((1-iemin)/2);
b1 = std::pow(ibeta, iexp); // lower boundary of midrange
@@ -126,60 +126,60 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
overfl = rbig*s2m; // overfow boundary for abig
eps = std::pow(ibeta, 1-it);
- relerr = ei_sqrt(eps); // tolerance for neglecting asml
+ relerr = internal::sqrt(eps); // tolerance for neglecting asml
abig = 1.0/eps - 1.0;
if (Scalar(nbig)>abig) nmax = abig; // largest safe n
else nmax = nbig;
}
- typedef typename ei_packet_traits<Scalar>::type Packet;
- const int ps = ei_packet_traits<Scalar>::size;
- Packet pasml = ei_pset1(Scalar(0));
- Packet pamed = ei_pset1(Scalar(0));
- Packet pabig = ei_pset1(Scalar(0));
- Packet ps2m = ei_pset1(s2m);
- Packet ps1m = ei_pset1(s1m);
- Packet pb2 = ei_pset1(b2);
- Packet pb1 = ei_pset1(b1);
+ typedef typename internal::packet_traits<Scalar>::type Packet;
+ const int ps = internal::packet_traits<Scalar>::size;
+ Packet pasml = internal::pset1(Scalar(0));
+ Packet pamed = internal::pset1(Scalar(0));
+ Packet pabig = internal::pset1(Scalar(0));
+ Packet ps2m = internal::pset1(s2m);
+ Packet ps1m = internal::pset1(s1m);
+ Packet pb2 = internal::pset1(b2);
+ Packet pb1 = internal::pset1(b1);
for(int j=0; j<v.size(); j+=ps)
{
- Packet ax = ei_pabs(v.template packet<Aligned>(j));
- Packet ax_s2m = ei_pmul(ax,ps2m);
- Packet ax_s1m = ei_pmul(ax,ps1m);
- Packet maskBig = ei_plt(pb2,ax);
- Packet maskSml = ei_plt(ax,pb1);
-
-// Packet maskMed = ei_pand(maskSml,maskBig);
-// Packet scale = ei_pset1(Scalar(0));
-// scale = ei_por(scale, ei_pand(maskBig,ps2m));
-// scale = ei_por(scale, ei_pand(maskSml,ps1m));
-// scale = ei_por(scale, ei_pandnot(ei_pset1(Scalar(1)),maskMed));
-// ax = ei_pmul(ax,scale);
-// ax = ei_pmul(ax,ax);
-// pabig = ei_padd(pabig, ei_pand(maskBig, ax));
-// pasml = ei_padd(pasml, ei_pand(maskSml, ax));
-// pamed = ei_padd(pamed, ei_pandnot(ax,maskMed));
-
-
- pabig = ei_padd(pabig, ei_pand(maskBig, ei_pmul(ax_s2m,ax_s2m)));
- pasml = ei_padd(pasml, ei_pand(maskSml, ei_pmul(ax_s1m,ax_s1m)));
- pamed = ei_padd(pamed, ei_pandnot(ei_pmul(ax,ax),ei_pand(maskSml,maskBig)));
+ Packet ax = internal::pabs(v.template packet<Aligned>(j));
+ Packet ax_s2m = internal::pmul(ax,ps2m);
+ Packet ax_s1m = internal::pmul(ax,ps1m);
+ Packet maskBig = internal::plt(pb2,ax);
+ Packet maskSml = internal::plt(ax,pb1);
+
+// Packet maskMed = internal::pand(maskSml,maskBig);
+// Packet scale = internal::pset1(Scalar(0));
+// scale = internal::por(scale, internal::pand(maskBig,ps2m));
+// scale = internal::por(scale, internal::pand(maskSml,ps1m));
+// scale = internal::por(scale, internal::pandnot(internal::pset1(Scalar(1)),maskMed));
+// ax = internal::pmul(ax,scale);
+// ax = internal::pmul(ax,ax);
+// pabig = internal::padd(pabig, internal::pand(maskBig, ax));
+// pasml = internal::padd(pasml, internal::pand(maskSml, ax));
+// pamed = internal::padd(pamed, internal::pandnot(ax,maskMed));
+
+
+ pabig = internal::padd(pabig, internal::pand(maskBig, internal::pmul(ax_s2m,ax_s2m)));
+ pasml = internal::padd(pasml, internal::pand(maskSml, internal::pmul(ax_s1m,ax_s1m)));
+ pamed = internal::padd(pamed, internal::pandnot(internal::pmul(ax,ax),internal::pand(maskSml,maskBig)));
}
- Scalar abig = ei_predux(pabig);
- Scalar asml = ei_predux(pasml);
- Scalar amed = ei_predux(pamed);
+ Scalar abig = internal::predux(pabig);
+ Scalar asml = internal::predux(pasml);
+ Scalar amed = internal::predux(pamed);
if(abig > Scalar(0))
{
- abig = ei_sqrt(abig);
+ abig = internal::sqrt(abig);
if(abig > overfl)
{
- ei_assert(false && "overflow");
+ eigen_assert(false && "overflow");
return rbig;
}
if(amed > Scalar(0))
{
abig = abig/s2m;
- amed = ei_sqrt(amed);
+ amed = internal::sqrt(amed);
}
else
{
@@ -191,24 +191,24 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
{
if (amed > Scalar(0))
{
- abig = ei_sqrt(amed);
- amed = ei_sqrt(asml) / s1m;
+ abig = internal::sqrt(amed);
+ amed = internal::sqrt(asml) / s1m;
}
else
{
- return ei_sqrt(asml)/s1m;
+ return internal::sqrt(asml)/s1m;
}
}
else
{
- return ei_sqrt(amed);
+ return internal::sqrt(amed);
}
asml = std::min(abig, amed);
abig = std::max(abig, amed);
if(asml <= abig*relerr)
return abig;
else
- return abig * ei_sqrt(Scalar(1) + ei_abs2(asml/abig));
+ return abig * internal::sqrt(Scalar(1) + internal::abs2(asml/abig));
#endif
}
@@ -234,12 +234,12 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
void check_accuracy(double basef, double based, int s)
{
- double yf = basef * ei_abs(ei_random<double>());
- double yd = based * ei_abs(ei_random<double>());
+ double yf = basef * internal::abs(internal::random<double>());
+ double yd = based * internal::abs(internal::random<double>());
VectorXf vf = VectorXf::Ones(s) * yf;
VectorXd vd = VectorXd::Ones(s) * yd;
- std::cout << "reference\t" << ei_sqrt(double(s))*yf << "\t" << ei_sqrt(double(s))*yd << "\n";
+ std::cout << "reference\t" << internal::sqrt(double(s))*yf << "\t" << internal::sqrt(double(s))*yd << "\n";
std::cout << "sqsumNorm\t" << sqsumNorm(vf) << "\t" << sqsumNorm(vd) << "\n";
std::cout << "hypotNorm\t" << hypotNorm(vf) << "\t" << hypotNorm(vd) << "\n";
std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\n";
@@ -255,11 +255,11 @@ void check_accuracy_var(int ef0, int ef1, int ed0, int ed1, int s)
VectorXd vd(s);
for (int i=0; i<s; ++i)
{
- vf[i] = ei_abs(ei_random<double>()) * std::pow(double(10), ei_random<int>(ef0,ef1));
- vd[i] = ei_abs(ei_random<double>()) * std::pow(double(10), ei_random<int>(ed0,ed1));
+ vf[i] = internal::abs(internal::random<double>()) * std::pow(double(10), internal::random<int>(ef0,ef1));
+ vd[i] = internal::abs(internal::random<double>()) * std::pow(double(10), internal::random<int>(ed0,ed1));
}
- //std::cout << "reference\t" << ei_sqrt(double(s))*yf << "\t" << ei_sqrt(double(s))*yd << "\n";
+ //std::cout << "reference\t" << internal::sqrt(double(s))*yf << "\t" << internal::sqrt(double(s))*yd << "\n";
std::cout << "sqsumNorm\t" << sqsumNorm(vf) << "\t" << sqsumNorm(vd) << "\t" << sqsumNorm(vf.cast<long double>()) << "\t" << sqsumNorm(vd.cast<long double>()) << "\n";
std::cout << "hypotNorm\t" << hypotNorm(vf) << "\t" << hypotNorm(vd) << "\t" << hypotNorm(vf.cast<long double>()) << "\t" << hypotNorm(vd.cast<long double>()) << "\n";
std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\t" << blueNorm(vf.cast<long double>()) << "\t" << blueNorm(vd.cast<long double>()) << "\n";
@@ -273,7 +273,7 @@ int main(int argc, char** argv)
{
int tries = 10;
int iters = 100000;
- double y = 1.1345743233455785456788e12 * ei_random<double>();
+ double y = 1.1345743233455785456788e12 * internal::random<double>();
VectorXf v = VectorXf::Ones(1024) * y;
// return 0;