testKernel.cuh
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#include <assert.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <stdio.h>
#include <stim/visualization/colormap.h>
#include <sstream>
#include <stim/math/vector.h>
#include <stim/cuda/cudatools/devices.h>
#include <stim/cuda/cudatools/threads.h>
#include <stim/cuda/cuda_texture.cuh>
float* print;
///Initialization function, allocates the memory and passes the necessary
///handles from OpenGL and Cuda.
///@param DIM_Y --integer controlling how much memory to allocate.
void initArray(int x, int y)
{
cudaMalloc( (void**) &print, x*y*sizeof(float)); ///temporary
}
///Deinit function that frees the memery used and releases the texture resource
///back to OpenGL.
void cleanUP()
{
cudaFree(print); ///temporary
}
__device__
float templ(int x, int max_x)
{
if(x < max_x/6 || x > max_x*5/6 || (x > max_x*2/6 && x < max_x*4/6))
{
return 1.0;
}else{
return 0.0;
}
}
///Find the difference of the given set of samples and the template
///using cuda acceleration.
///@param stim::cuda::cuda_texture t --stim texture that holds all the references
/// to the data.
///@param float* result --a pointer to the memory that stores the result.
__global__
//void get_diff (float *result)
void get_diff (cudaTextureObject_t texIn, float *print, int dx)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
int idx = y*dx+x;
// int idx = y*16+x;
float valIn = tex2D<unsigned char>(texIn, x, y);
float templa = templ(x, 32)*255.0;
print[idx] = abs(valIn-templa); ///temporary
//print[idx] = abs(templa); ///temporary
}
void test(cudaTextureObject_t tObj, int x, int y, std::string nam)
{
//Bind the Texture in GL and allow access to cuda.
//initialize the return arrays.
initArray(x,y);
dim3 numBlocks(1, y);
dim3 threadsPerBlock(x, 1);
int max_threads = stim::maxThreadsPerBlock();
//dim3 threads(max_threads, 1);
//dim3 blocks(x / threads.x + 1, y);
//dim3 numBlocks(2, 2);
//dim3 threadsPerBlock(8, 108);
// get_diff <<< blocks, threads >>> (tx.getTexture(), print);
get_diff <<< numBlocks, threadsPerBlock >>> (tObj, print, x);
cudaDeviceSynchronize();
stringstream name; //for debugging
name << nam.c_str();
stim::gpu2image<float>(print, name.str(),x,y,0,255);
cleanUP();
}