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opencv/3rdparty/carotene/src/div.cpp

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Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2016, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
#include <cstring>
#include <cfloat>
#include <cmath>
#include <limits>
namespace CAROTENE_NS {
namespace {
#ifdef CAROTENE_NEON
let the performance test pass on ARM * use round-to-neaerest in div of carotene
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inline float32x4_t vroundq(const float32x4_t& v)
{
const int32x4_t signMask = vdupq_n_s32(1 << 31), half = vreinterpretq_s32_f32(vdupq_n_f32(0.5f));
float32x4_t v_addition = vreinterpretq_f32_s32(vorrq_s32(half, vandq_s32(signMask, vreinterpretq_s32_f32(v))));
return vaddq_f32(v, v_addition);
}
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
template <typename T>
inline T divSaturateQ(const T &v1, const T &v2, const float scale)
{
return internal::vcombine(internal::vqmovn(divSaturateQ(internal::vmovl(internal::vget_low(v1)),
internal::vmovl(internal::vget_low(v2)), scale)),
internal::vqmovn(divSaturateQ(internal::vmovl(internal::vget_high(v1)),
internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t divSaturateQ<int32x4_t>(const int32x4_t &v1, const int32x4_t &v2, const float scale)
let the performance test pass on ARM * use round-to-neaerest in div of carotene
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{ return vcvtq_s32_f32(vroundq(vmulq_f32(vmulq_n_f32(vcvtq_f32_s32(v1), scale), internal::vrecpq_f32(vcvtq_f32_s32(v2))))); }
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
template <>
inline uint32x4_t divSaturateQ<uint32x4_t>(const uint32x4_t &v1, const uint32x4_t &v2, const float scale)
let the performance test pass on ARM * use round-to-neaerest in div of carotene
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{ return vcvtq_u32_f32(vroundq(vmulq_f32(vmulq_n_f32(vcvtq_f32_u32(v1), scale), internal::vrecpq_f32(vcvtq_f32_u32(v2))))); }
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
brush up divSaturate of carotene * use rounding to nearest same as divSaturateQ
2016-10-23 07:51:25 +08:00
inline float32x2_t vround(const float32x2_t& v)
{
const int32x2_t signMask = vdup_n_s32(1 << 31), half = vreinterpret_s32_f32(vdup_n_f32(0.5f));
float32x2_t v_addition = vreinterpret_f32_s32(vorr_s32(half, vand_s32(signMask, vreinterpret_s32_f32(v))));
return vadd_f32(v, v_addition);
}
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
template <typename T>
inline T divSaturate(const T &v1, const T &v2, const float scale)
{
return internal::vqmovn(divSaturateQ(internal::vmovl(v1), internal::vmovl(v2), scale));
}
template <>
inline int32x2_t divSaturate<int32x2_t>(const int32x2_t &v1, const int32x2_t &v2, const float scale)
brush up divSaturate of carotene * use rounding to nearest same as divSaturateQ
2016-10-23 07:51:25 +08:00
{ return vcvt_s32_f32(vround(vmul_f32(vmul_n_f32(vcvt_f32_s32(v1), scale), internal::vrecp_f32(vcvt_f32_s32(v2))))); }
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
template <>
inline uint32x2_t divSaturate<uint32x2_t>(const uint32x2_t &v1, const uint32x2_t &v2, const float scale)
brush up divSaturate of carotene * use rounding to nearest same as divSaturateQ
2016-10-23 07:51:25 +08:00
{ return vcvt_u32_f32(vround(vmul_f32(vmul_n_f32(vcvt_f32_u32(v1), scale), internal::vrecp_f32(vcvt_f32_u32(v2))))); }
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
template <typename T>
inline T divWrapQ(const T &v1, const T &v2, const float scale)
{
return internal::vcombine(internal::vmovn(divWrapQ(internal::vmovl(internal::vget_low(v1)),
internal::vmovl(internal::vget_low(v2)), scale)),
internal::vmovn(divWrapQ(internal::vmovl(internal::vget_high(v1)),
internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t divWrapQ<int32x4_t>(const int32x4_t &v1, const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_s32(v1), scale), internal::vrecpq_f32(vcvtq_f32_s32(v2)))); }
template <>
inline uint32x4_t divWrapQ<uint32x4_t>(const uint32x4_t &v1, const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_u32(v1), scale), internal::vrecpq_f32(vcvtq_f32_u32(v2)))); }
template <typename T>
inline T divWrap(const T &v1, const T &v2, const float scale)
{
return internal::vmovn(divWrapQ(internal::vmovl(v1), internal::vmovl(v2), scale));
}
template <>
inline int32x2_t divWrap<int32x2_t>(const int32x2_t &v1, const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vmul_f32(vmul_n_f32(vcvt_f32_s32(v1), scale), internal::vrecp_f32(vcvt_f32_s32(v2)))); }
template <>
inline uint32x2_t divWrap<uint32x2_t>(const uint32x2_t &v1, const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vmul_f32(vmul_n_f32(vcvt_f32_u32(v1), scale), internal::vrecp_f32(vcvt_f32_u32(v2)))); }
inline uint8x16_t vtstq(const uint8x16_t & v0, const uint8x16_t & v1) { return vtstq_u8 (v0, v1); }
inline uint16x8_t vtstq(const uint16x8_t & v0, const uint16x8_t & v1) { return vtstq_u16(v0, v1); }
inline uint32x4_t vtstq(const uint32x4_t & v0, const uint32x4_t & v1) { return vtstq_u32(v0, v1); }
inline int8x16_t vtstq(const int8x16_t & v0, const int8x16_t & v1) { return vreinterpretq_s8_u8 (vtstq_s8 (v0, v1)); }
inline int16x8_t vtstq(const int16x8_t & v0, const int16x8_t & v1) { return vreinterpretq_s16_u16(vtstq_s16(v0, v1)); }
inline int32x4_t vtstq(const int32x4_t & v0, const int32x4_t & v1) { return vreinterpretq_s32_u32(vtstq_s32(v0, v1)); }
inline uint8x8_t vtst(const uint8x8_t & v0, const uint8x8_t & v1) { return vtst_u8 (v0, v1); }
inline uint16x4_t vtst(const uint16x4_t & v0, const uint16x4_t & v1) { return vtst_u16(v0, v1); }
inline uint32x2_t vtst(const uint32x2_t & v0, const uint32x2_t & v1) { return vtst_u32(v0, v1); }
inline int8x8_t vtst(const int8x8_t & v0, const int8x8_t & v1) { return vreinterpret_s8_u8 (vtst_s8 (v0, v1)); }
inline int16x4_t vtst(const int16x4_t & v0, const int16x4_t & v1) { return vreinterpret_s16_u16(vtst_s16(v0, v1)); }
inline int32x2_t vtst(const int32x2_t & v0, const int32x2_t & v1) { return vreinterpret_s32_u32(vtst_s32(v0, v1)); }
#endif
template <typename T>
void div(const Size2D &size,
const T * src0Base, ptrdiff_t src0Stride,
const T * src1Base, ptrdiff_t src1Stride,
T * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::vec64 vec64;
core: follow IEEE 754 rules for floating-point division
2018-10-14 08:37:10 +08:00
#if defined(__GNUC__) && (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L)
static_assert(std::numeric_limits<T>::is_integer, "template implementation is for integer types only");
#endif
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
if (scale == 0.0f ||
(std::numeric_limits<T>::is_integer &&
(scale * std::numeric_limits<T>::max()) < 1.0f &&
(scale * std::numeric_limits<T>::max()) > -1.0f))
{
for (size_t y = 0; y < size.height; ++y)
{
T * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(T) * size.width);
}
return;
}
const size_t step128 = 16 / sizeof(T);
size_t roiw128 = size.width >= (step128 - 1) ? size.width - step128 + 1 : 0;
const size_t step64 = 8 / sizeof(T);
size_t roiw64 = size.width >= (step64 - 1) ? size.width - step64 + 1 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const T * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const T * src1 = internal::getRowPtr(src1Base, src1Stride, i);
T * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (cpolicy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
vec128 v_src0 = internal::vld1q(src0 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, divSaturateQ(v_src0, v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src0 = internal::vld1(src0 + j);
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask,divSaturate(v_src0, v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? internal::saturate_cast<T>(scale * src0[j] / src1[j]) : 0;
}
}
else // CONVERT_POLICY_WRAP
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
vec128 v_src0 = internal::vld1q(src0 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, divWrapQ(v_src0, v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src0 = internal::vld1(src0 + j);
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask,divWrap(v_src0, v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? (T)((s32)trunc(scale * src0[j] / src1[j])) : 0;
}
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)cpolicy;
(void)scale;
#endif
}
#ifdef CAROTENE_NEON
template <typename T>
inline T recipSaturateQ(const T &v2, const float scale)
{
return internal::vcombine(internal::vqmovn(recipSaturateQ(internal::vmovl(internal::vget_low(v2)), scale)),
internal::vqmovn(recipSaturateQ(internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t recipSaturateQ<int32x4_t>(const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_s32(v2)), scale)); }
template <>
inline uint32x4_t recipSaturateQ<uint32x4_t>(const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_u32(v2)), scale)); }
template <typename T>
inline T recipSaturate(const T &v2, const float scale)
{
return internal::vqmovn(recipSaturateQ(internal::vmovl(v2), scale));
}
template <>
inline int32x2_t recipSaturate<int32x2_t>(const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_s32(v2)), scale)); }
template <>
inline uint32x2_t recipSaturate<uint32x2_t>(const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_u32(v2)), scale)); }
template <typename T>
inline T recipWrapQ(const T &v2, const float scale)
{
return internal::vcombine(internal::vmovn(recipWrapQ(internal::vmovl(internal::vget_low(v2)), scale)),
internal::vmovn(recipWrapQ(internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t recipWrapQ<int32x4_t>(const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_s32(v2)), scale)); }
template <>
inline uint32x4_t recipWrapQ<uint32x4_t>(const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_u32(v2)), scale)); }
template <typename T>
inline T recipWrap(const T &v2, const float scale)
{
return internal::vmovn(recipWrapQ(internal::vmovl(v2), scale));
}
template <>
inline int32x2_t recipWrap<int32x2_t>(const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_s32(v2)), scale)); }
template <>
inline uint32x2_t recipWrap<uint32x2_t>(const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_u32(v2)), scale)); }
#endif
template <typename T>
void recip(const Size2D &size,
const T * src1Base, ptrdiff_t src1Stride,
T * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::vec64 vec64;
core: follow IEEE 754 rules for floating-point division
2018-10-14 08:37:10 +08:00
#if defined(__GNUC__) && (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L)
static_assert(std::numeric_limits<T>::is_integer, "template implementation is for integer types only");
#endif
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
if (scale == 0.0f ||
(std::numeric_limits<T>::is_integer &&
scale < 1.0f &&
scale > -1.0f))
{
for (size_t y = 0; y < size.height; ++y)
{
T * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(T) * size.width);
}
return;
}
const size_t step128 = 16 / sizeof(T);
size_t roiw128 = size.width >= (step128 - 1) ? size.width - step128 + 1 : 0;
const size_t step64 = 8 / sizeof(T);
size_t roiw64 = size.width >= (step64 - 1) ? size.width - step64 + 1 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const T * src1 = internal::getRowPtr(src1Base, src1Stride, i);
T * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (cpolicy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src1 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, recipSaturateQ(v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask, recipSaturate(v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? internal::saturate_cast<T>(scale / src1[j]) : 0;
}
}
else // CONVERT_POLICY_WRAP
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src1 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, recipWrapQ(v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask, recipWrap(v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? (T)((s32)trunc(scale / src1[j])) : 0;
}
}
}
#else
(void)size;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)cpolicy;
(void)scale;
#endif
}
}
void div(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
u8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<u8>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const s8 * src0Base, ptrdiff_t src0Stride,
const s8 * src1Base, ptrdiff_t src1Stride,
s8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<s8>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const u16 * src0Base, ptrdiff_t src0Stride,
const u16 * src1Base, ptrdiff_t src1Stride,
u16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<u16>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<s16>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const s32 * src0Base, ptrdiff_t src0Stride,
const s32 * src1Base, ptrdiff_t src1Stride,
s32 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<s32>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 * dstBase, ptrdiff_t dstStride,
f32 scale)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (scale == 0.0f)
{
for (size_t y = 0; y < size.height; ++y)
{
f32 * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(f32) * size.width);
}
return;
}
size_t roiw128 = size.width >= 3 ? size.width - 3 : 0;
size_t roiw64 = size.width >= 1 ? size.width - 1 : 0;
if (std::fabs(scale - 1.0f) < FLT_EPSILON)
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const f32 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
float32x4_t v_src0 = vld1q_f32(src0 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1q_f32(dst + j, vmulq_f32(v_src0, internal::vrecpq_f32(v_src1)));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
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}
for (; j < roiw64; j += 2)
{
float32x2_t v_src0 = vld1_f32(src0 + j);
float32x2_t v_src1 = vld1_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1_f32(dst + j, vmul_f32(v_src0, internal::vrecp_f32(v_src1)));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
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}
for (; j < size.width; j++)
{
core: follow IEEE 754 rules for floating-point division
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dst[j] = src0[j] / src1[j];
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
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}
}
}
else
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const f32 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
float32x4_t v_src0 = vld1q_f32(src0 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1q_f32(dst + j, vmulq_f32(vmulq_n_f32(v_src0, scale),
internal::vrecpq_f32(v_src1)));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src0 = vld1_f32(src0 + j);
float32x2_t v_src1 = vld1_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1_f32(dst + j, vmul_f32(vmul_n_f32(v_src0, scale),
internal::vrecp_f32(v_src1)));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
for (; j < size.width; j++)
{
core: follow IEEE 754 rules for floating-point division
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dst[j] = src0[j] * scale / src1[j];
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
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}
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)scale;
#endif
}
void reciprocal(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<u8>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const s8 * srcBase, ptrdiff_t srcStride,
s8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<s8>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const u16 * srcBase, ptrdiff_t srcStride,
u16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<u16>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const s16 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<s16>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const s32 * srcBase, ptrdiff_t srcStride,
s32 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<s32>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const f32 * srcBase, ptrdiff_t srcStride,
f32 * dstBase, ptrdiff_t dstStride,
f32 scale)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (scale == 0.0f)
{
for (size_t y = 0; y < size.height; ++y)
{
f32 * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(f32) * size.width);
}
return;
}
size_t roiw128 = size.width >= 3 ? size.width - 3 : 0;
size_t roiw64 = size.width >= 1 ? size.width - 1 : 0;
if (std::fabs(scale - 1.0f) < FLT_EPSILON)
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src1 = internal::getRowPtr(srcBase, srcStride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src1 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1q_f32(dst + j, internal::vrecpq_f32(v_src1));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src1 = vld1_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1_f32(dst + j, internal::vrecp_f32(v_src1));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
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}
for (; j < size.width; j++)
{
core: follow IEEE 754 rules for floating-point division
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dst[j] = 1.0f / src1[j];
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
}
}
else
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src1 = internal::getRowPtr(srcBase, srcStride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src1 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1q_f32(dst + j, vmulq_n_f32(internal::vrecpq_f32(v_src1), scale));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src1 = vld1_f32(src1 + j);
core: follow IEEE 754 rules for floating-point division
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vst1_f32(dst + j, vmul_n_f32(internal::vrecp_f32(v_src1), scale));
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
for (; j < size.width; j++)
{
core: follow IEEE 754 rules for floating-point division
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dst[j] = scale / src1[j];
Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms
2016-07-05 14:56:15 +08:00
}
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)scale;
#endif
}
} // namespace CAROTENE_NS
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