/*
 * 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

#include <cuda.h>
#include <cuda_fp16.h>
#include <float.h>
#include <stdint.h>

/* Qualifier wrappers for different names on different devices */

#define ccl_device  __device__ __inline__
#if __CUDA_ARCH__ < 300
#  define ccl_device_inline  __device__ __inline__
#  define ccl_device_forceinline  __device__ __forceinline__
#elif __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. This is a little slower than textures on Fermi,
 * but allows for cleaner code and we will stop supporting Fermi soon. */
#define kernel_tex_fetch(t, index) t[(index)]

/* On Kepler (6xx) and above, we use Bindless Textures for images.
 * On Fermi cards (4xx and 5xx), we have to use regular textures. */
#if __CUDA_ARCH__ < 300
typedef texture<float4, 2> texture_image_float4;
typedef texture<float4, 3> texture_image3d_float4;
typedef texture<uchar4, 2, cudaReadModeNormalizedFloat> texture_image_uchar4;
#endif

#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__ */
