forked from bartvdbraak/blender
6fc1669679
The goal is to be able to compile kernel with nodes which are actually needed to render current scene, hence improving performance of the kernel, The idea is: - Have few node groups, starting with a group which contains nodes are used really often, and then couple of groups which will be extension of this one. - Have feature-based nodes disabling, so it's possible to disable nodes related to features which are not used with the currently used nodes group. This commit only lays down needed routines for this approach, actual split will happen later after gathering statistics from bunch of production scenes.
94 lines
2.6 KiB
C
94 lines
2.6 KiB
C
/*
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* Copyright 2011-2013 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 __KERNEL_COMPAT_CUDA_H__
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#define __KERNEL_COMPAT_CUDA_H__
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#define __KERNEL_GPU__
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#define __KERNEL_CUDA__
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#define CCL_NAMESPACE_BEGIN
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#define CCL_NAMESPACE_END
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/* Selective nodes compilation. */
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#ifndef __NODES_MAX_GROUP__
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# define __NODES_MAX_GROUP__ NODE_GROUP_LEVEL_MAX
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#endif
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#ifndef __NODES_FEATURES__
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# define __NODES_FEATURES__ NODE_FEATURE_ALL
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#endif
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#include <cuda.h>
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#include <float.h>
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/* Qualifier wrappers for different names on different devices */
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#define ccl_device __device__ __inline__
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#define ccl_device_inline __device__ __inline__
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#define ccl_device_noinline __device__ __noinline__
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#define ccl_global
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#define ccl_constant
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#define ccl_may_alias
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/* No assert supported for CUDA */
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#define kernel_assert(cond)
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/* Types */
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#include "util_half.h"
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#include "util_types.h"
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/* Textures */
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typedef texture<float4, 1> texture_float4;
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typedef texture<float2, 1> texture_float2;
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typedef texture<float, 1> texture_float;
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typedef texture<uint, 1> texture_uint;
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typedef texture<int, 1> texture_int;
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typedef texture<uint4, 1> texture_uint4;
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typedef texture<uchar4, 1> texture_uchar4;
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typedef texture<float4, 2> texture_image_float4;
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typedef texture<uchar4, 2, cudaReadModeNormalizedFloat> texture_image_uchar4;
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/* Macros to handle different memory storage on different devices */
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/* In order to use full 6GB of memory on Titan cards, use arrays instead
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* of textures. On earlier cards this seems slower, but on Titan it is
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* actually slightly faster in tests. */
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#if __CUDA_ARCH__ < 300
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#define __KERNEL_CUDA_TEX_STORAGE__
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#endif
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#ifdef __KERNEL_CUDA_TEX_STORAGE__
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#define kernel_tex_fetch(t, index) tex1Dfetch(t, index)
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#else
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#define kernel_tex_fetch(t, index) t[(index)]
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#endif
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#define kernel_tex_image_interp(t, x, y) tex2D(t, x, y)
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#define kernel_data __data
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/* Use fast math functions */
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#define cosf(x) __cosf(((float)(x)))
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#define sinf(x) __sinf(((float)(x)))
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#define powf(x, y) __powf(((float)(x)), ((float)(y)))
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#define tanf(x) __tanf(((float)(x)))
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#define logf(x) __logf(((float)(x)))
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#define expf(x) __expf(((float)(x)))
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#endif /* __KERNEL_COMPAT_CUDA_H__ */
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