/* * Copyright 2011-2017 Blender Foundation * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef __UTIL_MATH_FLOAT4_H__ #define __UTIL_MATH_FLOAT4_H__ #ifndef __UTIL_MATH_H__ # error "Do not include this file directly, include util_types.h instead." #endif CCL_NAMESPACE_BEGIN /******************************************************************************* * Declaration. */ #ifndef __KERNEL_OPENCL__ ccl_device_inline float4 operator-(const float4& a); ccl_device_inline float4 operator*(const float4& a, const float4& b); ccl_device_inline float4 operator*(const float4& a, float f); ccl_device_inline float4 operator*(float f, const float4& a); ccl_device_inline float4 operator/(const float4& a, float f); ccl_device_inline float4 operator/(const float4& a, const float4& b); ccl_device_inline float4 operator+(const float4& a, const float4& b); ccl_device_inline float4 operator-(const float4& a, const float4& b); ccl_device_inline float4 operator+=(float4& a, const float4& b); ccl_device_inline float4 operator*=(float4& a, const float4& b); ccl_device_inline float4 operator*=(float4& a, float f); ccl_device_inline float4 operator/=(float4& a, float f); ccl_device_inline int4 operator<(const float4& a, const float4& b); ccl_device_inline int4 operator>=(const float4& a, const float4& b); ccl_device_inline int4 operator<=(const float4& a, const float4& b); ccl_device_inline bool operator==(const float4& a, const float4& b); ccl_device_inline float dot(const float4& a, const float4& b); ccl_device_inline float len_squared(const float4& a); ccl_device_inline float4 rcp(const float4& a); ccl_device_inline float4 sqrt(const float4& a); ccl_device_inline float4 sqr(const float4& a); ccl_device_inline float4 cross(const float4& a, const float4& b); ccl_device_inline bool is_zero(const float4& a); ccl_device_inline float average(const float4& a); ccl_device_inline float len(const float4& a); ccl_device_inline float4 normalize(const float4& a); ccl_device_inline float4 safe_normalize(const float4& a); ccl_device_inline float4 min(const float4& a, const float4& b); ccl_device_inline float4 max(const float4& a, const float4& b); ccl_device_inline float4 clamp(const float4& a, const float4& mn, const float4& mx); ccl_device_inline float4 fabs(const float4& a); #endif /* !__KERNEL_OPENCL__*/ #ifdef __KERNEL_SSE__ template __forceinline const float4 shuffle(const float4& b); template __forceinline const float4 shuffle(const float4& a, const float4& b); template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4& b); template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4& a, const float4& b); template<> __forceinline const float4 shuffle<2, 3, 2, 3>(const float4& a, const float4& b); # ifdef __KERNEL_SSE3__ template<> __forceinline const float4 shuffle<0, 0, 2, 2>(const float4& b); template<> __forceinline const float4 shuffle<1, 1, 3, 3>(const float4& b); # endif #endif /* __KERNEL_SSE__ */ #ifndef __KERNEL_GPU__ ccl_device_inline float4 select(const int4& mask, const float4& a, const float4& b); ccl_device_inline float4 reduce_min(const float4& a); ccl_device_inline float4 reduce_max(const float4& a); ccl_device_inline float4 reduce_add(const float4& a); #endif /* !__KERNEL_GPU__ */ /******************************************************************************* * Definition. */ #ifndef __KERNEL_OPENCL__ ccl_device_inline float4 operator-(const float4& a) { #ifdef __KERNEL_SSE__ __m128 mask = _mm_castsi128_ps(_mm_set1_epi32(0x80000000)); return float4(_mm_xor_ps(a.m128, mask)); #else return make_float4(-a.x, -a.y, -a.z, -a.w); #endif } ccl_device_inline float4 operator*(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_mul_ps(a.m128, b.m128)); #else return make_float4(a.x*b.x, a.y*b.y, a.z*b.z, a.w*b.w); #endif } ccl_device_inline float4 operator*(const float4& a, float f) { #if defined(__KERNEL_SSE__) return a * make_float4(f); #else return make_float4(a.x*f, a.y*f, a.z*f, a.w*f); #endif } ccl_device_inline float4 operator*(float f, const float4& a) { return a * f; } ccl_device_inline float4 operator/(const float4& a, float f) { return a * (1.0f/f); } ccl_device_inline float4 operator/(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_div_ps(a.m128, b.m128)); #else return make_float4(a.x/b.x, a.y/b.y, a.z/b.z, a.w/b.w); #endif } ccl_device_inline float4 operator+(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_add_ps(a.m128, b.m128)); #else return make_float4(a.x+b.x, a.y+b.y, a.z+b.z, a.w+b.w); #endif } ccl_device_inline float4 operator-(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_sub_ps(a.m128, b.m128)); #else return make_float4(a.x-b.x, a.y-b.y, a.z-b.z, a.w-b.w); #endif } ccl_device_inline float4 operator+=(float4& a, const float4& b) { return a = a + b; } ccl_device_inline float4 operator*=(float4& a, const float4& b) { return a = a * b; } ccl_device_inline float4 operator*=(float4& a, float f) { return a = a * f; } ccl_device_inline float4 operator/=(float4& a, float f) { return a = a / f; } ccl_device_inline int4 operator<(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return int4(_mm_castps_si128(_mm_cmplt_ps(a.m128, b.m128))); #else return make_int4(a.x < b.x, a.y < b.y, a.z < b.z, a.w < b.w); #endif } ccl_device_inline int4 operator>=(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return int4(_mm_castps_si128(_mm_cmpge_ps(a.m128, b.m128))); #else return make_int4(a.x >= b.x, a.y >= b.y, a.z >= b.z, a.w >= b.w); #endif } ccl_device_inline int4 operator<=(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return int4(_mm_castps_si128(_mm_cmple_ps(a.m128, b.m128))); #else return make_int4(a.x <= b.x, a.y <= b.y, a.z <= b.z, a.w <= b.w); #endif } ccl_device_inline bool operator==(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return (_mm_movemask_ps(_mm_cmpeq_ps(a.m128, b.m128)) & 15) == 15; #else return (a.x == b.x && a.y == b.y && a.z == b.z && a.w == b.w); #endif } ccl_device_inline float dot(const float4& a, const float4& b) { #if defined(__KERNEL_SSE41__) && defined(__KERNEL_SSE__) return _mm_cvtss_f32(_mm_dp_ps(a, b, 0xFF)); #else return (a.x*b.x + a.y*b.y) + (a.z*b.z + a.w*b.w); #endif } ccl_device_inline float len_squared(const float4& a) { return dot(a, a); } ccl_device_inline float4 rcp(const float4& a) { #ifdef __KERNEL_SSE__ /* Don't use _mm_rcp_ps due to poor precision. */ return float4(_mm_div_ps(_mm_set_ps1(1.0f), a.m128)); #else return make_float4(1.0f/a.x, 1.0f/a.y, 1.0f/a.z, 1.0f/a.w); #endif } ccl_device_inline float4 sqrt(const float4& a) { #ifdef __KERNEL_SSE__ return float4(_mm_sqrt_ps(a.m128)); #else return make_float4(sqrtf(a.x), sqrtf(a.y), sqrtf(a.z), sqrtf(a.w)); #endif } ccl_device_inline float4 sqr(const float4& a) { return a * a; } ccl_device_inline float4 cross(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return (shuffle<1,2,0,0>(a)*shuffle<2,0,1,0>(b)) - (shuffle<2,0,1,0>(a)*shuffle<1,2,0,0>(b)); #else return make_float4(a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z, a.x*b.y - a.y*b.x, 0.0f); #endif } ccl_device_inline bool is_zero(const float4& a) { #ifdef __KERNEL_SSE__ return a == make_float4(0.0f); #else return (a.x == 0.0f && a.y == 0.0f && a.z == 0.0f && a.w == 0.0f); #endif } ccl_device_inline float4 reduce_add(const float4& a) { #ifdef __KERNEL_SSE__ # ifdef __KERNEL_SSE3__ float4 h(_mm_hadd_ps(a.m128, a.m128)); return float4( _mm_hadd_ps(h.m128, h.m128)); # else float4 h(shuffle<1,0,3,2>(a) + a); return shuffle<2,3,0,1>(h) + h; # endif #else float sum = (a.x + a.y) + (a.z + a.w); return make_float4(sum, sum, sum, sum); #endif } ccl_device_inline float average(const float4& a) { return reduce_add(a).x * 0.25f; } ccl_device_inline float len(const float4& a) { return sqrtf(dot(a, a)); } ccl_device_inline float4 normalize(const float4& a) { return a/len(a); } ccl_device_inline float4 safe_normalize(const float4& a) { float t = len(a); return (t != 0.0f)? a/t: a; } ccl_device_inline float4 min(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_min_ps(a.m128, b.m128)); #else return make_float4(min(a.x, b.x), min(a.y, b.y), min(a.z, b.z), min(a.w, b.w)); #endif } ccl_device_inline float4 max(const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_max_ps(a.m128, b.m128)); #else return make_float4(max(a.x, b.x), max(a.y, b.y), max(a.z, b.z), max(a.w, b.w)); #endif } ccl_device_inline float4 clamp(const float4& a, const float4& mn, const float4& mx) { return min(max(a, mn), mx); } ccl_device_inline float4 fabs(const float4& a) { #ifdef __KERNEL_SSE__ return float4(_mm_and_ps(a.m128, _mm_castsi128_ps(_mm_set1_epi32(0x7fffffff)))); #else return make_float4(fabsf(a.x), fabsf(a.y), fabsf(a.z), fabsf(a.w)); #endif } #endif /* !__KERNEL_OPENCL__*/ #ifdef __KERNEL_SSE__ template __forceinline const float4 shuffle(const float4& b) { return float4(_mm_castsi128_ps( _mm_shuffle_epi32(_mm_castps_si128(b), _MM_SHUFFLE(index_3, index_2, index_1, index_0)))); } template __forceinline const float4 shuffle(const float4& a, const float4& b) { return float4(_mm_shuffle_ps(a.m128, b.m128, _MM_SHUFFLE(index_3, index_2, index_1, index_0))); } template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4& b) { return float4(_mm_castpd_ps(_mm_movedup_pd(_mm_castps_pd(b)))); } template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4& a, const float4& b) { return float4(_mm_movelh_ps(a.m128, b.m128)); } template<> __forceinline const float4 shuffle<2, 3, 2, 3>(const float4& a, const float4& b) { return float4(_mm_movehl_ps(b.m128, a.m128)); } # ifdef __KERNEL_SSE3__ template<> __forceinline const float4 shuffle<0, 0, 2, 2>(const float4& b) { return float4(_mm_moveldup_ps(b)); } template<> __forceinline const float4 shuffle<1, 1, 3, 3>(const float4& b) { return float4(_mm_movehdup_ps(b)); } # endif /* __KERNEL_SSE3__ */ #endif /* __KERNEL_SSE__ */ #ifndef __KERNEL_GPU__ ccl_device_inline float4 select(const int4& mask, const float4& a, const float4& b) { #ifdef __KERNEL_SSE__ return float4(_mm_blendv_ps(b.m128, a.m128, _mm_castsi128_ps(mask.m128))); #else return make_float4((mask.x)? a.x: b.x, (mask.y)? a.y: b.y, (mask.z)? a.z: b.z, (mask.w)? a.w: b.w); #endif } ccl_device_inline float4 mask(const int4& mask, const float4& a) { /* Replace elements of x with zero where mask isn't set. */ return select(mask, a, make_float4(0.0f)); } ccl_device_inline float4 reduce_min(const float4& a) { #ifdef __KERNEL_SSE__ float4 h = min(shuffle<1,0,3,2>(a), a); return min(shuffle<2,3,0,1>(h), h); #else return make_float4(min(min(a.x, a.y), min(a.z, a.w))); #endif } ccl_device_inline float4 reduce_max(const float4& a) { #ifdef __KERNEL_SSE__ float4 h = max(shuffle<1,0,3,2>(a), a); return max(shuffle<2,3,0,1>(h), h); #else return make_float4(max(max(a.x, a.y), max(a.z, a.w))); #endif } ccl_device_inline float4 load_float4(const float *v) { #ifdef __KERNEL_SSE__ return float4(_mm_loadu_ps(v)); #else return make_float4(v[0], v[1], v[2], v[3]); #endif } #endif /* !__KERNEL_GPU__ */ CCL_NAMESPACE_END #endif /* __UTIL_MATH_FLOAT4_H__ */