0803119725
This includes much improved GPU rendering performance, viewport interactivity, new shadow catcher, revamped sampling settings, subsurface scattering anisotropy, new GPU volume sampling, improved PMJ sampling pattern, and more. Some features have also been removed or changed, breaking backwards compatibility. Including the removal of the OpenCL backend, for which alternatives are under development. Release notes and code docs: https://wiki.blender.org/wiki/Reference/Release_Notes/3.0/Cycles https://wiki.blender.org/wiki/Source/Render/Cycles Credits: * Sergey Sharybin * Brecht Van Lommel * Patrick Mours (OptiX backend) * Christophe Hery (subsurface scattering anisotropy) * William Leeson (PMJ sampling pattern) * Alaska (various fixes and tweaks) * Thomas Dinges (various fixes) For the full commit history, see the cycles-x branch. This squashes together all the changes since intermediate changes would often fail building or tests. Ref T87839, T87837, T87836 Fixes T90734, T89353, T80267, T80267, T77185, T69800
537 lines
14 KiB
C++
537 lines
14 KiB
C++
/*
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* Copyright 2011-2017 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef __UTIL_MATH_FLOAT4_H__
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#define __UTIL_MATH_FLOAT4_H__
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#ifndef __UTIL_MATH_H__
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# error "Do not include this file directly, include util_types.h instead."
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#endif
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CCL_NAMESPACE_BEGIN
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/*******************************************************************************
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* Declaration.
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*/
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ccl_device_inline float4 operator-(const float4 &a);
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ccl_device_inline float4 operator*(const float4 &a, const float4 &b);
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ccl_device_inline float4 operator*(const float4 &a, float f);
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ccl_device_inline float4 operator*(float f, const float4 &a);
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ccl_device_inline float4 operator/(const float4 &a, float f);
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ccl_device_inline float4 operator/(const float4 &a, const float4 &b);
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ccl_device_inline float4 operator+(const float4 &a, const float f);
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ccl_device_inline float4 operator+(const float4 &a, const float4 &b);
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ccl_device_inline float4 operator-(const float4 &a, const float f);
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ccl_device_inline float4 operator-(const float4 &a, const float4 &b);
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ccl_device_inline float4 operator+=(float4 &a, const float4 &b);
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ccl_device_inline float4 operator*=(float4 &a, const float4 &b);
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ccl_device_inline float4 operator*=(float4 &a, float f);
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ccl_device_inline float4 operator/=(float4 &a, float f);
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ccl_device_inline int4 operator<(const float4 &a, const float4 &b);
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ccl_device_inline int4 operator>=(const float4 &a, const float4 &b);
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ccl_device_inline int4 operator<=(const float4 &a, const float4 &b);
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ccl_device_inline bool operator==(const float4 &a, const float4 &b);
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ccl_device_inline float distance(const float4 &a, const float4 &b);
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ccl_device_inline float dot(const float4 &a, const float4 &b);
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ccl_device_inline float len_squared(const float4 &a);
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ccl_device_inline float4 rcp(const float4 &a);
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ccl_device_inline float4 sqrt(const float4 &a);
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ccl_device_inline float4 sqr(const float4 &a);
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ccl_device_inline float4 cross(const float4 &a, const float4 &b);
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ccl_device_inline bool is_zero(const float4 &a);
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ccl_device_inline float average(const float4 &a);
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ccl_device_inline float len(const float4 &a);
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ccl_device_inline float4 normalize(const float4 &a);
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ccl_device_inline float4 safe_normalize(const float4 &a);
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ccl_device_inline float4 min(const float4 &a, const float4 &b);
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ccl_device_inline float4 max(const float4 &a, const float4 &b);
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ccl_device_inline float4 clamp(const float4 &a, const float4 &mn, const float4 &mx);
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ccl_device_inline float4 fabs(const float4 &a);
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ccl_device_inline float4 floor(const float4 &a);
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ccl_device_inline float4 mix(const float4 &a, const float4 &b, float t);
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ccl_device_inline float4 safe_divide_float4_float(const float4 a, const float b);
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#ifdef __KERNEL_SSE__
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template<size_t index_0, size_t index_1, size_t index_2, size_t index_3>
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__forceinline const float4 shuffle(const float4 &b);
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template<size_t index_0, size_t index_1, size_t index_2, size_t index_3>
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__forceinline const float4 shuffle(const float4 &a, const float4 &b);
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template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4 &b);
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template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4 &a, const float4 &b);
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template<> __forceinline const float4 shuffle<2, 3, 2, 3>(const float4 &a, const float4 &b);
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# ifdef __KERNEL_SSE3__
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template<> __forceinline const float4 shuffle<0, 0, 2, 2>(const float4 &b);
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template<> __forceinline const float4 shuffle<1, 1, 3, 3>(const float4 &b);
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# endif
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#endif /* __KERNEL_SSE__ */
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#ifndef __KERNEL_GPU__
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ccl_device_inline float4 select(const int4 &mask, const float4 &a, const float4 &b);
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ccl_device_inline float4 reduce_min(const float4 &a);
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ccl_device_inline float4 reduce_max(const float4 &a);
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ccl_device_inline float4 reduce_add(const float4 &a);
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#endif /* !__KERNEL_GPU__ */
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/*******************************************************************************
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* Definition.
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*/
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ccl_device_inline float4 zero_float4()
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_setzero_ps());
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#else
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return make_float4(0.0f, 0.0f, 0.0f, 0.0f);
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#endif
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}
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ccl_device_inline float4 one_float4()
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{
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return make_float4(1.0f, 1.0f, 1.0f, 1.0f);
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}
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ccl_device_inline float4 operator-(const float4 &a)
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{
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#ifdef __KERNEL_SSE__
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__m128 mask = _mm_castsi128_ps(_mm_set1_epi32(0x80000000));
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return float4(_mm_xor_ps(a.m128, mask));
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#else
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return make_float4(-a.x, -a.y, -a.z, -a.w);
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#endif
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}
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ccl_device_inline float4 operator*(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_mul_ps(a.m128, b.m128));
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#else
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return make_float4(a.x * b.x, a.y * b.y, a.z * b.z, a.w * b.w);
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#endif
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}
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ccl_device_inline float4 operator*(const float4 &a, float f)
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{
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#if defined(__KERNEL_SSE__)
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return a * make_float4(f);
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#else
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return make_float4(a.x * f, a.y * f, a.z * f, a.w * f);
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#endif
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}
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ccl_device_inline float4 operator*(float f, const float4 &a)
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{
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return a * f;
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}
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ccl_device_inline float4 operator/(const float4 &a, float f)
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{
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return a * (1.0f / f);
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}
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ccl_device_inline float4 operator/(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_div_ps(a.m128, b.m128));
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#else
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return make_float4(a.x / b.x, a.y / b.y, a.z / b.z, a.w / b.w);
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#endif
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}
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ccl_device_inline float4 operator+(const float4 &a, const float f)
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{
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return a + make_float4(f, f, f, f);
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}
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ccl_device_inline float4 operator+(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_add_ps(a.m128, b.m128));
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#else
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return make_float4(a.x + b.x, a.y + b.y, a.z + b.z, a.w + b.w);
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#endif
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}
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ccl_device_inline float4 operator-(const float4 &a, const float f)
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{
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return a - make_float4(f, f, f, f);
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}
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ccl_device_inline float4 operator-(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_sub_ps(a.m128, b.m128));
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#else
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return make_float4(a.x - b.x, a.y - b.y, a.z - b.z, a.w - b.w);
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#endif
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}
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ccl_device_inline float4 operator+=(float4 &a, const float4 &b)
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{
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return a = a + b;
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}
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ccl_device_inline float4 operator-=(float4 &a, const float4 &b)
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{
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return a = a - b;
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}
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ccl_device_inline float4 operator*=(float4 &a, const float4 &b)
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{
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return a = a * b;
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}
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ccl_device_inline float4 operator*=(float4 &a, float f)
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{
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return a = a * f;
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}
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ccl_device_inline float4 operator/=(float4 &a, float f)
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{
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return a = a / f;
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}
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ccl_device_inline int4 operator<(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return int4(_mm_castps_si128(_mm_cmplt_ps(a.m128, b.m128)));
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#else
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return make_int4(a.x < b.x, a.y < b.y, a.z < b.z, a.w < b.w);
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#endif
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}
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ccl_device_inline int4 operator>=(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return int4(_mm_castps_si128(_mm_cmpge_ps(a.m128, b.m128)));
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#else
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return make_int4(a.x >= b.x, a.y >= b.y, a.z >= b.z, a.w >= b.w);
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#endif
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}
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ccl_device_inline int4 operator<=(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return int4(_mm_castps_si128(_mm_cmple_ps(a.m128, b.m128)));
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#else
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return make_int4(a.x <= b.x, a.y <= b.y, a.z <= b.z, a.w <= b.w);
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#endif
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}
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ccl_device_inline bool operator==(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return (_mm_movemask_ps(_mm_cmpeq_ps(a.m128, b.m128)) & 15) == 15;
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#else
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return (a.x == b.x && a.y == b.y && a.z == b.z && a.w == b.w);
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#endif
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}
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ccl_device_inline float distance(const float4 &a, const float4 &b)
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{
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return len(a - b);
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}
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ccl_device_inline float dot(const float4 &a, const float4 &b)
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{
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#if defined(__KERNEL_SSE41__) && defined(__KERNEL_SSE__)
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# if defined(__KERNEL_NEON__)
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__m128 t = vmulq_f32(a, b);
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return vaddvq_f32(t);
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# else
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return _mm_cvtss_f32(_mm_dp_ps(a, b, 0xFF));
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# endif
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#else
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return (a.x * b.x + a.y * b.y) + (a.z * b.z + a.w * b.w);
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#endif
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}
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ccl_device_inline float len_squared(const float4 &a)
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{
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return dot(a, a);
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}
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ccl_device_inline float4 rcp(const float4 &a)
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{
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#ifdef __KERNEL_SSE__
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/* Don't use _mm_rcp_ps due to poor precision. */
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return float4(_mm_div_ps(_mm_set_ps1(1.0f), a.m128));
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#else
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return make_float4(1.0f / a.x, 1.0f / a.y, 1.0f / a.z, 1.0f / a.w);
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#endif
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}
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ccl_device_inline float4 sqrt(const float4 &a)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_sqrt_ps(a.m128));
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#else
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return make_float4(sqrtf(a.x), sqrtf(a.y), sqrtf(a.z), sqrtf(a.w));
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#endif
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}
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ccl_device_inline float4 sqr(const float4 &a)
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{
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return a * a;
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}
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ccl_device_inline float4 cross(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return (shuffle<1, 2, 0, 0>(a) * shuffle<2, 0, 1, 0>(b)) -
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(shuffle<2, 0, 1, 0>(a) * shuffle<1, 2, 0, 0>(b));
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#else
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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);
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#endif
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}
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ccl_device_inline bool is_zero(const float4 &a)
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{
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#ifdef __KERNEL_SSE__
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return a == make_float4(0.0f);
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#else
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return (a.x == 0.0f && a.y == 0.0f && a.z == 0.0f && a.w == 0.0f);
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#endif
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}
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ccl_device_inline float4 reduce_add(const float4 &a)
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{
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#if defined(__KERNEL_SSE__)
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# if defined(__KERNEL_NEON__)
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return float4(vdupq_n_f32(vaddvq_f32(a)));
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# elif defined(__KERNEL_SSE3__)
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float4 h(_mm_hadd_ps(a.m128, a.m128));
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return float4(_mm_hadd_ps(h.m128, h.m128));
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# else
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float4 h(shuffle<1, 0, 3, 2>(a) + a);
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return shuffle<2, 3, 0, 1>(h) + h;
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# endif
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#else
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float sum = (a.x + a.y) + (a.z + a.w);
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return make_float4(sum, sum, sum, sum);
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#endif
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}
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ccl_device_inline float average(const float4 &a)
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{
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return reduce_add(a).x * 0.25f;
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}
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ccl_device_inline float len(const float4 &a)
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{
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return sqrtf(dot(a, a));
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}
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ccl_device_inline float4 normalize(const float4 &a)
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{
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return a / len(a);
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}
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ccl_device_inline float4 safe_normalize(const float4 &a)
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{
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float t = len(a);
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return (t != 0.0f) ? a / t : a;
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}
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ccl_device_inline float4 min(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_min_ps(a.m128, b.m128));
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#else
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return make_float4(min(a.x, b.x), min(a.y, b.y), min(a.z, b.z), min(a.w, b.w));
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#endif
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}
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ccl_device_inline float4 max(const float4 &a, const float4 &b)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_max_ps(a.m128, b.m128));
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#else
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return make_float4(max(a.x, b.x), max(a.y, b.y), max(a.z, b.z), max(a.w, b.w));
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#endif
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}
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ccl_device_inline float4 clamp(const float4 &a, const float4 &mn, const float4 &mx)
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{
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return min(max(a, mn), mx);
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}
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ccl_device_inline float4 fabs(const float4 &a)
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{
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#if defined(__KERNEL_SSE__)
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# if defined(__KERNEL_NEON__)
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return float4(vabsq_f32(a));
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# else
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return float4(_mm_and_ps(a.m128, _mm_castsi128_ps(_mm_set1_epi32(0x7fffffff))));
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# endif
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#else
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return make_float4(fabsf(a.x), fabsf(a.y), fabsf(a.z), fabsf(a.w));
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#endif
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}
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ccl_device_inline float4 floor(const float4 &a)
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{
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#ifdef __KERNEL_SSE__
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return float4(_mm_floor_ps(a));
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#else
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return make_float4(floorf(a.x), floorf(a.y), floorf(a.z), floorf(a.w));
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#endif
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}
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ccl_device_inline float4 mix(const float4 &a, const float4 &b, float t)
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{
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return a + t * (b - a);
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}
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#ifdef __KERNEL_SSE__
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template<size_t index_0, size_t index_1, size_t index_2, size_t index_3>
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__forceinline const float4 shuffle(const float4 &b)
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{
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# if defined(__KERNEL_NEON__)
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return float4(shuffle_neon<__m128, index_0, index_1, index_2, index_3>(b.m128));
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# else
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return float4(_mm_castsi128_ps(
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_mm_shuffle_epi32(_mm_castps_si128(b), _MM_SHUFFLE(index_3, index_2, index_1, index_0))));
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# endif
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}
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template<size_t index_0, size_t index_1, size_t index_2, size_t index_3>
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__forceinline const float4 shuffle(const float4 &a, const float4 &b)
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{
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# if defined(__KERNEL_NEON__)
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return float4(shuffle_neon<__m128, index_0, index_1, index_2, index_3>(a.m128, b.m128));
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# else
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return float4(_mm_shuffle_ps(a.m128, b.m128, _MM_SHUFFLE(index_3, index_2, index_1, index_0)));
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# endif
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}
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template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4 &b)
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{
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return float4(_mm_castpd_ps(_mm_movedup_pd(_mm_castps_pd(b))));
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}
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template<> __forceinline const float4 shuffle<0, 1, 0, 1>(const float4 &a, const float4 &b)
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{
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return float4(_mm_movelh_ps(a.m128, b.m128));
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}
|
|
|
|
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)
|
|
{
|
|
# if defined(__KERNEL_SSE__)
|
|
# if defined(__KERNEL_NEON__)
|
|
return float4(vdupq_n_f32(vminvq_f32(a)));
|
|
# else
|
|
float4 h = min(shuffle<1, 0, 3, 2>(a), a);
|
|
return min(shuffle<2, 3, 0, 1>(h), h);
|
|
# endif
|
|
# 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)
|
|
{
|
|
# if defined(__KERNEL_SSE__)
|
|
# if defined(__KERNEL_NEON__)
|
|
return float4(vdupq_n_f32(vmaxvq_f32(a)));
|
|
# else
|
|
float4 h = max(shuffle<1, 0, 3, 2>(a), a);
|
|
return max(shuffle<2, 3, 0, 1>(h), h);
|
|
# endif
|
|
# 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_device_inline float4 safe_divide_float4_float(const float4 a, const float b)
|
|
{
|
|
return (b != 0.0f) ? a / b : zero_float4();
|
|
}
|
|
|
|
ccl_device_inline bool isfinite4_safe(float4 v)
|
|
{
|
|
return isfinite_safe(v.x) && isfinite_safe(v.y) && isfinite_safe(v.z) && isfinite_safe(v.w);
|
|
}
|
|
|
|
ccl_device_inline float4 ensure_finite4(float4 v)
|
|
{
|
|
if (!isfinite_safe(v.x))
|
|
v.x = 0.0f;
|
|
if (!isfinite_safe(v.y))
|
|
v.y = 0.0f;
|
|
if (!isfinite_safe(v.z))
|
|
v.z = 0.0f;
|
|
if (!isfinite_safe(v.w))
|
|
v.w = 0.0f;
|
|
return v;
|
|
}
|
|
|
|
CCL_NAMESPACE_END
|
|
|
|
#endif /* __UTIL_MATH_FLOAT4_H__ */
|