X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/lniv_gpu.git/blobdiff_plain/1a59c41c272e22861e759e660a64578b47147d85..refs/heads/genPaths:/main.cu diff --git a/main.cu b/main.cu index d9db4f8..b2c1681 100644 --- a/main.cu +++ b/main.cu @@ -16,181 +16,232 @@ #include "levelines_kernels.cu" +const float tang[] = {0, 0.268, 0.577, 1} ; -__global__ void kernel_debil(unsigned int * ptr1, unsigned int * ptr2, unsigned int L, int val){ - - unsigned int i = blockIdx.x*blockDim.x + threadIdx.x; - unsigned int j = blockIdx.y*blockDim.y + threadIdx.y; - unsigned int pos = i*L +j ; - ptr2[pos] = val - ptr1[pos] ; +void genPaths(unsigned int *h_paths, int *p_i, int *p_j, unsigned int r ){ + unsigned int idpath = 0 ; + int ic, jc ; + float offset = 0.5 ; + + // Q1 inf + for (int a=0 ; a< 4 ; a++){ // les 4 angles 0,15,30 et 45 + for (int p=0 ; p< r ; p++){ // les r points + jc = p ; + ic = r-1 - floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + // Q1 sup + for (int a=2 ; a>0 ; a--){ // les 2 angles 60 et 75 + for (int p=0 ; p< r ; p++){ // les r points + ic = r-1 - p ; + jc = floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + + // Q2 inf + for (int a=0 ; a< 4 ; a++){ // les 4 angles 90,105,130 et 145 + for (int p=0 ; p< r ; p++){ // les r points + ic = r-1 - p ; + jc = r-1 - floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + // Q2 sup + for (int a=2 ; a>0 ; a--){ // les 2 angles 60 et 75 + for (int p=0 ; p< r ; p++){ // les r points + jc = r-1 - p ; + ic = r-1 - floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + + + // Q3 inf + for (int a=0 ; a< 4 ; a++){ // les 4 angles 90,105,130 et 145 + for (int p=0 ; p< r ; p++){ // les r points + jc = r-1 - p ; + ic = floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + // Q3 sup + for (int a=2 ; a>0 ; a--){ // les 2 angles 60 et 75 + for (int p=0 ; p< r ; p++){ // les r points + ic = p ; + jc = r-1 - floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + + + // Q4 inf + for (int a=0 ; a< 4 ; a++){ // les 4 angles 90,105,130 et 145 + for (int p=0 ; p< r ; p++){ // les r points + ic = p ; + jc = floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } + // Q4 sup + for (int a=2 ; a>0 ; a--){ // les 2 angles 60 et 75 + for (int p=0 ; p< r ; p++){ // les r points + jc = p ; + ic = floor(tang[a]*p + offset) ; + h_paths[ idpath*r*r + ic*r + jc ] = 255 ; + if ( p > 0 ){ + p_i[idpath*(r-1)+p-1] = ic ; + p_j[idpath*(r-1)+p-1] = jc ; + } + } + idpath++ ; + } } -int main(int argc, char **argv){ +int main(int argc, char **argv){ - //float coef_regul = atof( argv[1] ) ; - + // use device with highest Gflops/s + cudaSetDevice( cutGetMaxGflopsDeviceId() ); unsigned int timer ; cutilCheckError( cutCreateTimer(&timer) ); cutilCheckError( cutResetTimer(timer) ); - /***************************** - * CHARGEMENT IMAGE - *****************************/ - char* image_path = argv[argc-1]; - char* image_out = "./image_out.pgm" ; - unsigned int * h_data = NULL ; - unsigned int * h_data_out = NULL ; - unsigned int H, L, size; - cutilCheckError( cutStartTimer(timer) ); - cutilCheckError( cutLoadPGMi(image_path, &h_data, &L, &H)); - cutilCheckError( cutStopTimer(timer) ); + // une alloc debile pour initialiser la carte GPU + int * d_void ; + cutilSafeCall( cudaMalloc( (void**) &d_void, 4)) ; - size = H * L * sizeof( unsigned int ); - printf("Loaded %d x %d = %d pixels from '%s' en %f ms,\n", L, H, size, image_path, cutGetTimerValue(timer)); - + + + /********************************* + * DEFINITION PARAMS CHEMINS + *********************************/ + char* image_out = "./image_out.pgm" ; + int *p_i, *p_j ; + int2 * d_paths ; + unsigned int * h_paths ; + unsigned int R = atoi(argv[1]); + + + //unsigned int size = R * R * sizeof( unsigned int ); - //essai alloc mapped - /* - cutilCheckError( cutResetTimer(timer) ); - cutilCheckError( cutStartTimer(timer) ); - unsigned int * h_ptr1, * d_ptr1 ; - unsigned int * h_ptr2, * d_ptr2 ; - int h = ; - int l = h ; - int mem = h*l*sizeof(unsigned int) ; - cutilSafeCall(cudaSetDeviceFlags(cudaDeviceMapHost)); - cutilCheckError( cutStopTimer(timer) ); - printf("Temps set flag Mapped : %f ms\n", cutGetTimerValue(timer)) ; - cutilCheckError( cutStartTimer(timer) ); - cutilSafeCall(cudaHostAlloc((void **)&h_ptr1, mem, cudaHostAllocMapped)); - cutilSafeCall(cudaHostAlloc((void **)&h_ptr2, mem, cudaHostAllocMapped)); - cutilCheckError( cutStopTimer(timer) ); - printf("Temps cumul alloc Mapped : %f ms\n", cutGetTimerValue(timer)) ; + // allocation mem + int memsize = 24*(R-1)*sizeof(int2) ; + cutilSafeCall( cudaMalloc( (void**) &d_paths, memsize ) ); - for (int i = 0; i>>(d_ptr1, d_ptr2, l, 255) ; + for (int j=0; j<24*R*R ; j++) h_paths[j] = 0 ; - cutilCheckError( cutStopTimer(timer) ); - printf("Temps total Mapped : %f ms\n", cutGetTimerValue(timer)) ; + genPaths(h_paths, p_i, p_j, R) ; + + printf("Rayon : %d pixels \n", R) ; + + //matrice p_i + printf("P_I\n"); + for (int idpath=0; idpath < 24; idpath++){ + printf("\n"); + for (int idpix=0; idpix < R-1; idpix++){ + printf(" %d ", p_i[idpath*(R-1)+idpix]); + } + } + //matrice p_j + printf("\nP_J\n"); + for (int idpath=0; idpath < 24; idpath++){ + printf("\n"); + for (int idpix=0; idpix < R-1; idpix++){ + printf(" %d ", p_j[idpath*(R-1)+idpix]); + } + } - char * image_1 = "./image_1.pgm" ; - char * image_2 = "./image_2.pgm" ; - cutilCheckError( cutSavePGMi(image_1, h_ptr1, l, h) ) ; - cutilCheckError( cutSavePGMi(image_2, h_ptr2, l, h) ) ; - */ /***************************** - * FIN CHARGEMENT IMAGE + * APPELS KERNELS et chronos *****************************/ + dim3 dimBlock( 1, 1, 1 ) ; + dim3 dimGrid( 1, 1, 1 ) ; + + kernel_calcul_paths<<< dimGrid, dimBlock, 0 >>>(d_paths, R) ; - - // use device with highest Gflops/s - cudaSetDevice( cutGetMaxGflopsDeviceId() ); - + printf("\nGrille : %d x %d de Blocs : %d x %d \n", dimGrid.x, dimGrid.y, dimBlock.x, dimBlock.y) ; - /* - cutilSafeCall( cudaMallocArray(&a_Src, &floatTex, imageW, imageH) ); - cutilSafeCall( cudaMalloc((void **)&d_Output, imageW * imageH * sizeof(float)) ); - cutilSafeCall( cudaThreadSynchronize() ); - cutilCheckError( cutResetTimer(hTimer) ); - cutilCheckError( cutStartTimer(hTimer) ); - - cutilSafeCall( cudaThreadSynchronize() ); - cutilCheckError( cutStopTimer(hTimer) ); - gpuTime = cutGetTimerValue(hTimer) / (float)iterations; - */ - - cutilCheckError( cutResetTimer(timer) ); - cutilCheckError( cutStartTimer(timer) ); - // allocation mem GPU - unsigned int * d_directions =NULL ; - unsigned int * d_lniv, * d_estim = NULL ; - - cutilSafeCall( cudaMalloc( (void**) &d_directions, size)) ; - cutilSafeCall( cudaMalloc( (void**) &d_lniv, size ) ); - cutilSafeCall( cudaMalloc( (void**) &d_estim, size ) ); + + /************************** + * VERIFS + **************************/ + int2 * paths = new int2[24*(R-1)] ; + cutilSafeCall( cudaMemcpy(paths , d_paths, memsize, cudaMemcpyDeviceToHost) ); - // allocate array and copy image data - cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc(32, 0, 0, 0, cudaChannelFormatKindUnsigned); - cudaArray * array_img_in, *array_img_estim, *array_img_lniv; - cutilSafeCall( cudaMallocArray( &array_img_in, &channelDesc, L, H )); - cutilSafeCall( cudaMemcpyToArray( array_img_in, 0, 0, h_data, size, cudaMemcpyHostToDevice)) ; - cutilSafeCall( cudaBindTextureToArray( tex_img_in, array_img_in, channelDesc)); - cutilCheckError( cutStopTimer(timer) ); - - cutilSafeCall( cudaMallocArray( &array_img_estim, &channelDesc, L, H )); - cutilSafeCall( cudaBindTextureToArray( tex_img_estim, array_img_estim, channelDesc)); - - cutilSafeCall( cudaMallocArray( &array_img_lniv, &channelDesc, L, H )); - cutilSafeCall( cudaBindTextureToArray( tex_img_lniv, array_img_lniv, channelDesc)); + //matrice p_i + printf("P_I\n"); + for (int idpath=0; idpath < 24; idpath++){ + printf("\n"); + for (int idpix=0; idpix < R-1; idpix++){ + printf(" %d ", paths[idpath*(R-1)+idpix].x); + } + printf("\t // %d", 15*idpath); + } + //matrice p_j + printf("\nP_J\n"); + for (int idpath=0; idpath < 24; idpath++){ + printf("\n"); + for (int idpix=0; idpix < R-1; idpix++){ + printf(" %d ", paths[idpath*(R-1)+idpix].y); + } + printf("\t // %d", 15*idpath); + } - printf("Temps alloc + transferts en Textures : %f ms\n", cutGetTimerValue(timer)) ; - /***************************** - * APPELS KERNELS et chronos - *****************************/ - cutilCheckError( cutResetTimer(timer) ); - cutilCheckError( cutStartTimer(timer) ); + printf("\n"); - unsigned int iter , nb_iter = 15 ; - unsigned int poids = 15 ; - dim3 dimBlock(8,8,1) ; - dim3 dimGrid( H / dimBlock.x, L / dimBlock.y, 1 ) ; - unsigned int smem_size = dimBlock.x * dimBlock.y * sizeof(unsigned int) ; - // init image estimee avec image_in - kernel_init_estim_from_img_in<<< dimGrid, dimBlock, 0 >>>(d_estim, L, H, 7); - - printf("Grille : %d x %d de Blocs : %d x %d - Shared mem : %d octets\n", dimGrid.x, dimGrid.y, dimBlock.x, dimBlock.y, smem_size) ; - - for ( iter =0 ; iter < nb_iter ; iter++ ) - { - cutilSafeCall( cudaMemcpyToArray( array_img_estim, 0, 0, d_estim, size, cudaMemcpyDeviceToDevice)) ; - kernel_levelines_texture<<< dimGrid, dimBlock, 0 >>>( d_lniv, L, H ); - cutilSafeCall( cudaMemcpyToArray( array_img_lniv, 0, 0, d_lniv, size, cudaMemcpyDeviceToDevice)) ; - kernel_estim_next_step_texture<<< dimGrid, dimBlock, 0 >>>(d_estim, L, H, poids) ; - } - - cudaThreadSynchronize(); - - cutilCheckError( cutStopTimer(timer) ); - printf("Execution moy par kernel : %f ms\n", cutGetTimerValue(timer)/(float)nb_iter) ; - printf("Total pour %d kernels : %f ms\n", nb_iter, cutGetTimerValue(timer)) ; - - /************************** - * VERIFS - **************************/ - //trace des lniv sur grille de 'pas x pas' - //kernel_trace_levelines<<< dimGrid, dimBlock, 0 >>>(d_data, d_directions, d_data2, L, H, 16, 255) ; - //cudaThreadSynchronize(); - - // enregistrement image lniv GPU - h_data_out = new unsigned int[H*L] ; - if ( h_data_out != NULL) - cutilSafeCall( cudaMemcpy(h_data_out , d_estim, size, cudaMemcpyDeviceToHost) ); - else - printf("Echec allocation mem CPU\n"); - - cutilCheckError( cutSavePGMi(image_out, h_data_out, L, H) ) ; - - // calcul lniv CPU - - + // enregistrement image des PATHS + //cutilSafeCall( cudaMemcpy(h_paths , d_paths, size, cudaMemcpyDeviceToHost) ); + + cutilCheckError( cutSavePGMi(image_out, h_paths, R, 24*R) ) ; + // TODO verifier pourquoi les deux lignes suivantes produisent une erreur //cutilExit(argc, argv); //cudaThreadExit();