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Replaced core module calls to universal intrinsics with wide universal intrinsics

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This commit is contained in:
Vitaly Tuzov
2018-09-05 16:17:43 +03:00
parent 803ff64b14
commit 43d9256096
4 changed files with 208 additions and 220 deletions
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modules/core/src/lapack.cpp
+47 -42
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@@ -277,40 +277,42 @@ template<typename T> struct VBLAS
int givensx(T*, T*, int, T, T, T*, T*) const { return 0; }
};
#if CV_SIMD128
#if CV_SIMD
template<> inline int VBLAS<float>::dot(const float* a, const float* b, int n, float* result) const
{
if( n < 8 )
if( n < 2*v_float32::nlanes )
return 0;
int k = 0;
v_float32x4 s0 = v_setzero_f32();
for( ; k <= n - v_float32x4::nlanes; k += v_float32x4::nlanes )
v_float32 s0 = vx_setzero_f32();
for( ; k <= n - v_float32::nlanes; k += v_float32::nlanes )
{
v_float32x4 a0 = v_load(a + k);
v_float32x4 b0 = v_load(b + k);
v_float32 a0 = vx_load(a + k);
v_float32 b0 = vx_load(b + k);
s0 += a0 * b0;
}
*result = v_reduce_sum(s0);
vx_cleanup();
return k;
}
template<> inline int VBLAS<float>::givens(float* a, float* b, int n, float c, float s) const
{
if( n < 4 )
if( n < v_float32::nlanes)
return 0;
int k = 0;
v_float32x4 c4 = v_setall_f32(c), s4 = v_setall_f32(s);
for( ; k <= n - v_float32x4::nlanes; k += v_float32x4::nlanes )
v_float32 c4 = vx_setall_f32(c), s4 = vx_setall_f32(s);
for( ; k <= n - v_float32::nlanes; k += v_float32::nlanes )
{
v_float32x4 a0 = v_load(a + k);
v_float32x4 b0 = v_load(b + k);
v_float32x4 t0 = (a0 * c4) + (b0 * s4);
v_float32x4 t1 = (b0 * c4) - (a0 * s4);
v_float32 a0 = vx_load(a + k);
v_float32 b0 = vx_load(b + k);
v_float32 t0 = (a0 * c4) + (b0 * s4);
v_float32 t1 = (b0 * c4) - (a0 * s4);
v_store(a + k, t0);
v_store(b + k, t1);
}
vx_cleanup();
return k;
}
@@ -318,17 +320,17 @@ template<> inline int VBLAS<float>::givens(float* a, float* b, int n, float c, f
template<> inline int VBLAS<float>::givensx(float* a, float* b, int n, float c, float s,
float* anorm, float* bnorm) const
{
if( n < 4 )
if( n < v_float32::nlanes)
return 0;
int k = 0;
v_float32x4 c4 = v_setall_f32(c), s4 = v_setall_f32(s);
v_float32x4 sa = v_setzero_f32(), sb = v_setzero_f32();
for( ; k <= n - v_float32x4::nlanes; k += v_float32x4::nlanes )
v_float32 c4 = vx_setall_f32(c), s4 = vx_setall_f32(s);
v_float32 sa = vx_setzero_f32(), sb = vx_setzero_f32();
for( ; k <= n - v_float32::nlanes; k += v_float32::nlanes )
{
v_float32x4 a0 = v_load(a + k);
v_float32x4 b0 = v_load(b + k);
v_float32x4 t0 = (a0 * c4) + (b0 * s4);
v_float32x4 t1 = (b0 * c4) - (a0 * s4);
v_float32 a0 = vx_load(a + k);
v_float32 b0 = vx_load(b + k);
v_float32 t0 = (a0 * c4) + (b0 * s4);
v_float32 t1 = (b0 * c4) - (a0 * s4);
v_store(a + k, t0);
v_store(b + k, t1);
sa += t0 + t0;
@@ -336,26 +338,28 @@ template<> inline int VBLAS<float>::givensx(float* a, float* b, int n, float c,
}
*anorm = v_reduce_sum(sa);
*bnorm = v_reduce_sum(sb);
vx_cleanup();
return k;
}
#if CV_SIMD128_64F
#if CV_SIMD_64F
template<> inline int VBLAS<double>::dot(const double* a, const double* b, int n, double* result) const
{
if( n < 4 )
if( n < 2*v_float64::nlanes )
return 0;
int k = 0;
v_float64x2 s0 = v_setzero_f64();
for( ; k <= n - v_float64x2::nlanes; k += v_float64x2::nlanes )
v_float64 s0 = vx_setzero_f64();
for( ; k <= n - v_float64::nlanes; k += v_float64::nlanes )
{
v_float64x2 a0 = v_load(a + k);
v_float64x2 b0 = v_load(b + k);
v_float64 a0 = vx_load(a + k);
v_float64 b0 = vx_load(b + k);
s0 += a0 * b0;
}
double sbuf[2];
v_store(sbuf, s0);
*result = sbuf[0] + sbuf[1];
vx_cleanup();
return k;
}
@@ -363,16 +367,17 @@ template<> inline int VBLAS<double>::dot(const double* a, const double* b, int n
template<> inline int VBLAS<double>::givens(double* a, double* b, int n, double c, double s) const
{
int k = 0;
v_float64x2 c2 = v_setall_f64(c), s2 = v_setall_f64(s);
for( ; k <= n - v_float64x2::nlanes; k += v_float64x2::nlanes )
v_float64 c2 = vx_setall_f64(c), s2 = vx_setall_f64(s);
for( ; k <= n - v_float64::nlanes; k += v_float64::nlanes )
{
v_float64x2 a0 = v_load(a + k);
v_float64x2 b0 = v_load(b + k);
v_float64x2 t0 = (a0 * c2) + (b0 * s2);
v_float64x2 t1 = (b0 * c2) - (a0 * s2);
v_float64 a0 = vx_load(a + k);
v_float64 b0 = vx_load(b + k);
v_float64 t0 = (a0 * c2) + (b0 * s2);
v_float64 t1 = (b0 * c2) - (a0 * s2);
v_store(a + k, t0);
v_store(b + k, t1);
}
vx_cleanup();
return k;
}
@@ -381,14 +386,14 @@ template<> inline int VBLAS<double>::givensx(double* a, double* b, int n, double
double* anorm, double* bnorm) const
{
int k = 0;
v_float64x2 c2 = v_setall_f64(c), s2 = v_setall_f64(s);
v_float64x2 sa = v_setzero_f64(), sb = v_setzero_f64();
for( ; k <= n - v_float64x2::nlanes; k += v_float64x2::nlanes )
v_float64 c2 = vx_setall_f64(c), s2 = vx_setall_f64(s);
v_float64 sa = vx_setzero_f64(), sb = vx_setzero_f64();
for( ; k <= n - v_float64::nlanes; k += v_float64::nlanes )
{
v_float64x2 a0 = v_load(a + k);
v_float64x2 b0 = v_load(b + k);
v_float64x2 t0 = (a0 * c2) + (b0 * s2);
v_float64x2 t1 = (b0 * c2) - (a0 * s2);
v_float64 a0 = vx_load(a + k);
v_float64 b0 = vx_load(b + k);
v_float64 t0 = (a0 * c2) + (b0 * s2);
v_float64 t1 = (b0 * c2) - (a0 * s2);
v_store(a + k, t0);
v_store(b + k, t1);
sa += t0 * t0;
@@ -401,8 +406,8 @@ template<> inline int VBLAS<double>::givensx(double* a, double* b, int n, double
*bnorm = bbuf[0] + bbuf[1];
return k;
}
#endif //CV_SIMD128_64F
#endif //CV_SIMD128
#endif //CV_SIMD_64F
#endif //CV_SIMD
template<typename _Tp> void
JacobiSVDImpl_(_Tp* At, size_t astep, _Tp* _W, _Tp* Vt, size_t vstep,