e1b3d91127
The distinction existed for legacy reasons, to easily port of Embree intersection code without affecting the main vector types. However we are now using SIMD for these types as well, so no good reason to keep the distinction. Also more consistently pass these vector types by value in inline functions. Previously it was partially changed for functions used by Metal to avoid having to add address space qualifiers, simple to do it everywhere. Also removes function declarations for vector math headers, serves no real purpose. Differential Revision: https://developer.blender.org/D16146
135 lines
3.0 KiB
C
135 lines
3.0 KiB
C
/* SPDX-License-Identifier: Apache-2.0
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* Copyright 2011-2022 Blender Foundation */
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#ifndef __UTIL_TYPES_H__
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#define __UTIL_TYPES_H__
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#if !defined(__KERNEL_METAL__)
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# include <stdlib.h>
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#endif
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/* Standard Integer Types */
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#if !defined(__KERNEL_GPU__)
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# include <stdint.h>
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# include <stdio.h>
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#endif
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#include "util/defines.h"
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#ifndef __KERNEL_GPU__
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# include "util/optimization.h"
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# include "util/simd.h"
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#endif
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CCL_NAMESPACE_BEGIN
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/* Types
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*
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* Define simpler unsigned type names, and integer with defined number of bits.
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* Also vector types, named to be compatible with OpenCL builtin types, while
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* working for CUDA and C++ too. */
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/* Shorter Unsigned Names */
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typedef unsigned char uchar;
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typedef unsigned int uint;
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typedef unsigned short ushort;
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/* Fixed Bits Types */
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#ifndef __KERNEL_GPU__
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/* Generic Memory Pointer */
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typedef uint64_t device_ptr;
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#endif /* __KERNEL_GPU__ */
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ccl_device_inline size_t align_up(size_t offset, size_t alignment)
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{
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return (offset + alignment - 1) & ~(alignment - 1);
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}
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ccl_device_inline size_t divide_up(size_t x, size_t y)
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{
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return (x + y - 1) / y;
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}
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ccl_device_inline size_t round_up(size_t x, size_t multiple)
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{
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return ((x + multiple - 1) / multiple) * multiple;
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}
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ccl_device_inline size_t round_down(size_t x, size_t multiple)
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{
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return (x / multiple) * multiple;
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}
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ccl_device_inline bool is_power_of_two(size_t x)
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{
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return (x & (x - 1)) == 0;
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}
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CCL_NAMESPACE_END
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/* Device side printf only tested on CUDA, may work on more GPU devices. */
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#if !defined(__KERNEL_GPU__) || defined(__KERNEL_CUDA__)
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# define __KERNEL_PRINTF__
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#endif
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ccl_device_inline void print_float(ccl_private const char *label, const float a)
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{
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#ifdef __KERNEL_PRINTF__
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printf("%s: %.8f\n", label, (double)a);
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#endif
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}
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/* Most GPU APIs matching native vector types, so we only need to implement them for
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* CPU and oneAPI. */
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#if defined(__KERNEL_GPU__) && !defined(__KERNEL_ONEAPI__)
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# define __KERNEL_NATIVE_VECTOR_TYPES__
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#endif
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/* Vectorized types declaration. */
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#include "util/types_uchar2.h"
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#include "util/types_uchar3.h"
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#include "util/types_uchar4.h"
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#include "util/types_int2.h"
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#include "util/types_int3.h"
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#include "util/types_int4.h"
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#include "util/types_int8.h"
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#include "util/types_uint2.h"
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#include "util/types_uint3.h"
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#include "util/types_uint4.h"
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#include "util/types_ushort4.h"
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#include "util/types_float2.h"
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#include "util/types_float3.h"
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#include "util/types_float4.h"
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#include "util/types_float8.h"
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#include "util/types_spectrum.h"
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/* Vectorized types implementation. */
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#include "util/types_uchar2_impl.h"
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#include "util/types_uchar3_impl.h"
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#include "util/types_uchar4_impl.h"
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#include "util/types_int2_impl.h"
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#include "util/types_int3_impl.h"
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#include "util/types_int4_impl.h"
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#include "util/types_int8_impl.h"
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#include "util/types_uint2_impl.h"
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#include "util/types_uint3_impl.h"
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#include "util/types_uint4_impl.h"
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#include "util/types_float2_impl.h"
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#include "util/types_float3_impl.h"
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#include "util/types_float4_impl.h"
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#include "util/types_float8_impl.h"
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#endif /* __UTIL_TYPES_H__ */
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