Image Filters Using CPU, GPU, and C++ AMP

#ifndef CUDACOMMON_H_
#define CUDACOMMON_H_

/**
	\file cudaCommon.h
	CUDA kullanan t�m s�n�flarda i�erilen ba�l�k dosyas�.

	nVidia CUDA ba�l�k dosyalar�n� ve yard�mc� CUDA metodlar�n� i�erir.
*/

#include <stdio.h>
#include <stdlib.h>

#include <cuda.h>
#include <cuda_runtime.h>

void checkCUDAError(const char *msg);


// float4 tipi i�in aritmetik operat�rler.

// addition
inline __host__ __device__ float4 operator+(float4 a, float4 b)
{
    return make_float4(a.x + b.x, a.y + b.y, a.z + b.z,  a.w + b.w);
}
inline __host__ __device__ void operator+=(float4 &a, float4 b)
{
    a.x += b.x; a.y += b.y; a.z += b.z; a.w += b.w;
}

// subtract
inline __host__ __device__ float4 operator-(float4 a, float4 b)
{
    return make_float4(a.x - b.x, a.y - b.y, a.z - b.z,  a.w - b.w);
}
inline __host__ __device__ void operator-=(float4 &a, float4 b)
{
    a.x -= b.x; a.y -= b.y; a.z -= b.z; a.w -= b.w;
}

// multiply
inline __host__ __device__ float4 operator*(float4 a, float s)
{
    return make_float4(a.x * s, a.y * s, a.z * s, a.w * s);
}
inline __host__ __device__ float4 operator*(float s, float4 a)
{
    return make_float4(a.x * s, a.y * s, a.z * s, a.w * s);
}
inline __host__ __device__ void operator*=(float4 &a, float s)
{
    a.x *= s; a.y *= s; a.z *= s; a.w *= s;
}

// divide
inline __host__ __device__ float4 operator/(float4 a, float4 b)
{
    return make_float4(a.x / b.x, a.y / b.y, a.z / b.z, a.w / b.w);
}
inline __host__ __device__ float4 operator/(float4 a, float s)
{
    float inv = 1.0f / s;
    return a * inv;
}
inline __host__ __device__ float4 operator/(float s, float4 a)
{
    float inv = 1.0f / s;
    return a * inv;
}
inline __host__ __device__ void operator/=(float4 &a, float s)
{
    float inv = 1.0f / s;
    a *= inv;
}

#endif // CUDACOMMON_H_