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/*
* Copyright 2011-2013 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 __KERNEL_COMPAT_CUDA_H__
#define __KERNEL_COMPAT_CUDA_H__
#define __KERNEL_GPU__
#define __KERNEL_CUDA__
#define CCL_NAMESPACE_BEGIN
#define CCL_NAMESPACE_END
/* Selective nodes compilation. */
#ifndef __NODES_MAX_GROUP__
# define __NODES_MAX_GROUP__ NODE_GROUP_LEVEL_MAX
#endif
#ifndef __NODES_FEATURES__
# define __NODES_FEATURES__ NODE_FEATURE_ALL
#endif
/* Manual definitions so we can compile without CUDA toolkit. */
typedef unsigned int uint32_t;
typedef unsigned long long uint64_t;
typedef unsigned short half;
typedef unsigned long long CUtexObject;
#define FLT_MIN 1.175494350822287507969e-38f
#define FLT_MAX 340282346638528859811704183484516925440.0f
__device__ half __float2half(const float f)
{
half val;
asm("{ cvt.rn.f16.f32 %0, %1;}\n" : "=h"(val) : "f"(f));
return val;
}
/* Qualifier wrappers for different names on different devices */
#define ccl_device __device__ __inline__
#if __CUDA_ARCH__ < 500
# define ccl_device_inline __device__ __forceinline__
# define ccl_device_forceinline __device__ __forceinline__
#else
# define ccl_device_inline __device__ __inline__
# define ccl_device_forceinline __device__ __forceinline__
#endif
#define ccl_device_noinline __device__ __noinline__
#define ccl_global
#define ccl_static_constant __constant__
#define ccl_constant const
#define ccl_local __shared__
#define ccl_local_param
#define ccl_private
#define ccl_may_alias
#define ccl_addr_space
#define ccl_restrict __restrict__
/* TODO(sergey): In theory we might use references with CUDA, however
* performance impact yet to be investigated.
*/
#define ccl_ref
#define ccl_align(n) __align__(n)
#define ATTR_FALLTHROUGH
#define CCL_MAX_LOCAL_SIZE (CUDA_THREADS_BLOCK_WIDTH*CUDA_THREADS_BLOCK_WIDTH)
/* No assert supported for CUDA */
#define kernel_assert(cond)
/* Types */
#include "util/util_half.h"
#include "util/util_types.h"
/* Work item functions */
ccl_device_inline uint ccl_local_id(uint d)
{
switch(d) {
case 0: return threadIdx.x;
case 1: return threadIdx.y;
case 2: return threadIdx.z;
default: return 0;
}
}
#define ccl_global_id(d) (ccl_group_id(d) * ccl_local_size(d) + ccl_local_id(d))
ccl_device_inline uint ccl_local_size(uint d)
{
switch(d) {
case 0: return blockDim.x;
case 1: return blockDim.y;
case 2: return blockDim.z;
default: return 0;
}
}
#define ccl_global_size(d) (ccl_num_groups(d) * ccl_local_size(d))
ccl_device_inline uint ccl_group_id(uint d)
{
switch(d) {
case 0: return blockIdx.x;
case 1: return blockIdx.y;
case 2: return blockIdx.z;
default: return 0;
}
}
ccl_device_inline uint ccl_num_groups(uint d)
{
switch(d) {
case 0: return gridDim.x;
case 1: return gridDim.y;
case 2: return gridDim.z;
default: return 0;
}
}
/* Textures */
/* Use arrays for regular data. */
#define kernel_tex_fetch(t, index) t[(index)]
#define kernel_tex_array(t) (t)
#define kernel_data __data
/* Use fast math functions */
#define cosf(x) __cosf(((float)(x)))
#define sinf(x) __sinf(((float)(x)))
#define powf(x, y) __powf(((float)(x)), ((float)(y)))
#define tanf(x) __tanf(((float)(x)))
#define logf(x) __logf(((float)(x)))
#define expf(x) __expf(((float)(x)))
#endif /* __KERNEL_COMPAT_CUDA_H__ */
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