8 changed files with 375 additions and 352 deletions
@ -1,270 +0,0 @@ |
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#include <stdio.h> |
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#include <stdlib.h> |
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#include <sys/time.h> |
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#include <math.h> |
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#include <float.h> |
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#include <cuda_runtime.h> |
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#include "meanshift_declarations.h" |
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#define N 512 |
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int NUMBER_OF_POINTS = 600; |
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int DIMENSIONS = 2; |
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char* POINTS_FILENAME = "../data/X.bin"; |
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char* LABELS_FILENAME = "../data/L.bin"; |
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struct timeval startwtime, endwtime; |
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double seq_time; |
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__device__ double norm(double **matrix, int rows, int cols){ |
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double sum=0, temp_mul=0; |
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for (int i=0; i<rows; i++) { |
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for (int j=0; j<cols; j++) { |
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temp_mul = matrix[i][j] * matrix[i][j]; |
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sum = sum + temp_mul; |
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} |
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} |
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double norm = sqrt(sum); |
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return norm; |
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} |
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|
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int main(int argc, char **argv){ |
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int h = 1; |
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|
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//get_args(argc, argv, &h); commented out while in development
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FILE *f; |
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// f = fopen(X, "rb");
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// fseek(f, 0L, SEEK_END);
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// long int pos = ftell(f);
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// fclose(f);
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// int elements = pos / sizeof(double); // number of total elements (points*dimension)
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// int points = elements/DIMENSIONS;
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// //printf("points : %d \n", points);
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f = fopen(POINTS_FILENAME, "rb"); |
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double **vectors; |
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vectors = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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int out = fread(vectors[i], sizeof(double), DIMENSIONS, f); |
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} |
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save_matrix(vectors, 0); |
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|
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// initializing file that will contain the labels (train)
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f = fopen(LABELS_FILENAME, "rb"); |
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// NOTE : Labels were classified as <class 'numpy.uint8'>
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// variables of type uint8 are stored as 1-byte (8-bit) unsigned integers
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fseek(f, 0L, SEEK_END); |
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long int pos = ftell(f); |
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rewind(f); |
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//printf("position : %ld \n", pos);
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int label_elements = pos/ sizeof(char); |
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char *labels = (char*)malloc(label_elements* sizeof(char)); |
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fseek(f, 0L, SEEK_SET); |
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int out = fread(labels, sizeof(char), label_elements, f); |
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fclose(f); |
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|
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// MEAN SHIFT OPTIONS
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parameters params; |
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params.epsilon = 0.0001; |
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params.verbose = false; |
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params.display = false; |
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parameters *opt; |
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opt = ¶ms; |
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double **shifted_points; |
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// tic
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gettimeofday (&startwtime, NULL); |
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int iterations = meanshift(vectors, &shifted_points, h, opt, 1); |
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// toc
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gettimeofday (&endwtime, NULL); |
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seq_time = (double)((endwtime.tv_usec - startwtime.tv_usec)/1.0e6 + endwtime.tv_sec - startwtime.tv_sec); |
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printf("%s wall clock time = %f\n","Mean Shift", seq_time); |
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//TODO write output points to file -> plot later
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//save_matrix(shifted_points, iterations);
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} |
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int meanshift(double **original_points, double ***shifted_points, int h |
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, parameters *opt, int iteration){ |
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// allocates space and copies original points on first iteration
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if (iteration == 1){ |
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(*shifted_points) = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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duplicate(original_points, NUMBER_OF_POINTS, DIMENSIONS, shifted_points); |
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} |
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// mean shift vector
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double **mean_shift_vector; |
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mean_shift_vector = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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// initialize elements of mean_shift_vector to inf
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for (int i=0;i<NUMBER_OF_POINTS;i++){ |
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for (int j=0;j<DIMENSIONS;j++){ |
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mean_shift_vector[i][j] = DBL_MAX; |
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} |
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} |
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/** allocate memory **/ |
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double **kernel_matrix = alloc_2d_double(NUMBER_OF_POINTS, NUMBER_OF_POINTS); |
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double *denominator = malloc(NUMBER_OF_POINTS * sizeof(double)); |
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// create new y vector
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double **new_shift = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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double * d_kernel_matrix; |
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size_t pitch_kernel_matrix; |
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cudaMallocPitch(&d_kernel_matrix, &pitch_kernel_matrix, |
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NUMBER_OF_POINTS * sizeof(double), NUMBER_OF_POINTS); |
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double * d_denominator; |
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cudaMalloc(&d_denominator, NUMBER_OF_POINTS * sizeof(double)); |
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double * d_new_shift; |
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size_t pitch_new_shift; |
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cudaMallocPitch(&d_new_shift, &pitch_new_shift, |
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NUMBER_OF_POINTS * sizeof(double), DIMENSIONS); |
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double * d_shifted_points; |
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size_t pitch_shifted_points; |
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cudaMallocPitch(&d_shifted_points, &pitch_shifted_points, |
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NUMBER_OF_POINTS * sizeof(double), DIMENSIONS); |
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double * d_mean_shift_vector; |
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size_t pitch_mean_shift_vector; |
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cudaMallocPitch(&d_mean_shift_vector, &pitch_mean_shift_vector, |
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NUMBER_OF_POINTS * sizeof(double), DIMENSIONS); |
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cudaMemcpy2D(d_shifted_points, NUMBER_OF_POINTS * sizeof(double), *shifted_points, |
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pitch_shifted_points, NUMBER_OF_POINTS * sizeof(double), |
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DIMENSIONS, cudaMemcpyHostToDevice); |
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cudaMemcpy2D(d_mean_shift_vector, NUMBER_OF_POINTS * sizeof(double), *mean_shift_vector, |
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pitch_mean_shift_vector, NUMBER_OF_POINTS * sizeof(double), |
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DIMENSIONS, cudaMemcpyHostToDevice); |
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// TODO REFACTOR AS A KERNEL
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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double sum = 0; |
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for (int j=0; j<NUMBER_OF_POINTS; j++){ |
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double dist_sum = 0; |
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for (int p=0; p<DIMENSIONS; p++){ |
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double dif = ((*shifted_points)[i])[p]-(original_points[j])[p]; |
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dist_sum += dif * dif; |
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} |
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double dist = sqrt(dist_sum); |
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if (dist < h*h){ |
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kernel_matrix[i][j] = dist * dist; |
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// compute kernel matrix
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double pow = ((-1)*(kernel_matrix[i][j]))/(2*(h*h)); |
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kernel_matrix[i][j] = exp(pow); |
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} else { |
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kernel_matrix[i][j] = 0; |
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} |
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if (i==j){ |
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kernel_matrix[i][j] += 1; |
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} |
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sum = sum + kernel_matrix[i][j]; |
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} |
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denominator[i] = sum; |
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// build nominator
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for (int j=0; j<DIMENSIONS; j++){ |
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new_shift[i][j] = 0; |
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for (int k=0; k<NUMBER_OF_POINTS; k++){ |
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new_shift[i][j] += kernel_matrix[i][k] * original_points[k][j]; |
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} |
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// divide element-wise
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new_shift[i][j] = new_shift[i][j] / denominator[i]; |
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// calculate mean-shift vector at the same time
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mean_shift_vector[i][j] = new_shift[i][j] - (*shifted_points)[i][j]; |
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} |
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} |
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// frees previously shifted points, they're now garbage
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free((*shifted_points)[0]); |
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// updates shifted points pointer to the new array address
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shifted_points = &new_shift; |
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save_matrix((*shifted_points), iteration); |
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double current_norm = norm(mean_shift_vector, NUMBER_OF_POINTS, DIMENSIONS); |
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printf("Iteration n. %d, error %f \n", iteration, current_norm); |
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// clean up this iteration's allocates
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free(mean_shift_vector[0]); |
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free(mean_shift_vector); |
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free(kernel_matrix[0]); |
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free(kernel_matrix); |
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free(denominator); |
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/** iterate until convergence **/ |
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if (current_norm > opt->epsilon) { |
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return meanshift(original_points, shifted_points, h, opt, ++iteration); |
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} |
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return iteration; |
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} |
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/**
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__global__ int iteration(double * kernel_matrix, double * denominator, |
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double * new_shift, double *shifted_points, double mean_shift_vector, |
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int NUMBER_OF_POINTS, int DIMENSIONS, int h){ |
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int i = threadIdx.x + blockIdx.x * blockDim.x; |
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for (i = 0; i < NUMBER_OF_POINTS; i++) { |
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double sum = 0; |
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for (int j = 0; j < NUMBER_OF_POINTS; j++) { |
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double dist_sum = 0; |
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for (int p = 0; p < DIMENSIONS; p++) { |
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double dif = ((*shifted_points)[i])[p] - (original_points[j])[p]; |
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dist_sum += dif * dif; |
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} |
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double dist = sqrt(dist_sum); |
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if (dist < h * h) { |
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kernel_matrix[i][j] = dist * dist; |
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// compute kernel matrix
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double pow = ((-1) * (kernel_matrix[i][j])) / (2 * (h * h)); |
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kernel_matrix[i][j] = exp(pow); |
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} else { |
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kernel_matrix[i][j] = 0; |
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} |
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if (i == j) { |
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kernel_matrix[i][j] += 1; |
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} |
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sum = sum + kernel_matrix[i][j]; |
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} |
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denominator[i] = sum; |
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// build nominator
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for (int j = 0; j < DIMENSIONS; j++) { |
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new_shift[i][j] = 0; |
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for (int k = 0; k < NUMBER_OF_POINTS; k++) { |
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new_shift[i][j] += kernel_matrix[i][k] * original_points[k][j]; |
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} |
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// divide element-wise
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new_shift[i][j] = new_shift[i][j] / denominator[i]; |
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// calculate mean-shift vector at the same time
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mean_shift_vector[i][j] = new_shift[i][j] - (*shifted_points)[i][j]; |
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} |
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} |
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// frees previously shifted points, they're now garbage
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free((*shifted_points)[0]); |
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// updates shifted points pointer to the new array address
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shifted_points = &new_shift; |
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} |
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*/ |
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@ -0,0 +1,39 @@ |
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#include <stdio.h> |
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#include <stdlib.h> |
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#include <sys/time.h> |
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#include "meanshift_utils.h" |
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int DEVIATION = 1; |
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int NUMBER_OF_POINTS = 600; |
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int DIMENSIONS = 2; |
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char* POINTS_FILENAME = "../data/X.bin"; |
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char* LABELS_FILENAME = "../data/L.bin"; |
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struct timeval startwtime, endwtime; |
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double seq_time; |
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int main(int argc, char **argv){ |
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double **vectors, **shifted_points; |
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char *labels; |
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parameters params; |
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//get_args(argc, argv); commented out while in development |
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init(&vectors, &labels, ¶ms); |
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//save_matrix(vectors, 0); |
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// tic |
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gettimeofday (&startwtime, NULL); |
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int iterations = meanshift(vectors, &shifted_points, DEVIATION, ¶ms); |
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printf("Total iterations = %d\n", iterations); |
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// toc |
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gettimeofday (&endwtime, NULL); |
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seq_time = (double)((endwtime.tv_usec - startwtime.tv_usec)/1.0e6 + endwtime.tv_sec - startwtime.tv_sec); |
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printf("%s wall clock time = %f\n","Mean Shift", seq_time); |
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//TODO write output points to file -> plot later |
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//save_matrix(shifted_points, iterations); |
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} |
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@ -1,66 +0,0 @@ |
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#include <stdio.h> |
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#include <stdlib.h> |
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#include <math.h> |
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#include <float.h> |
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#include <string.h> |
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#include "meanshift_declarations.h" |
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void get_args(int argc, char **argv, int *h){ |
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if (argc != 6) { |
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printf("Usage: %s h N D Pd Pl\nwhere:\n", argv[0]); |
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printf("\th is the variance\n"); |
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printf("\tN is the the number of points\n"); |
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printf("\tD is the number of dimensions of each point\n"); |
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printf("\tPd is the path of the dataset file\n"); |
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printf("\tPl is the path of the labels file\n"); |
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exit(1); |
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} |
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*h = atoi(argv[1]); |
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NUMBER_OF_POINTS = atoi(argv[2]); |
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DIMENSIONS = atoi(argv[3]); |
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POINTS_FILENAME = argv[4]; |
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LABELS_FILENAME = argv[5]; |
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} |
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double **alloc_2d_double(int rows, int cols) { |
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double *data = (double *) malloc(rows*cols*sizeof(double)); |
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double **array = (double **) malloc(rows*sizeof(double*)); |
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for (int i=0; i<rows; i++) |
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array[i] = &(data[cols*i]); |
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return array; |
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} |
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void duplicate(double **source, int rows, int cols, double ***dest){ |
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for (int i=0; i<rows; i++){ |
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for (int j=0; j<cols; j++){ |
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(*dest)[i][j] = source[i][j]; |
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} |
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} |
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} |
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void print_matrix(double **array, int rows, int cols){ |
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for (int i=0; i<cols; i++){ |
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for (int j=0; j<rows; j++){ |
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printf("%f ", array[j][i]); |
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} |
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printf("\n"); |
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} |
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} |
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void save_matrix(double **matrix, int iteration){ |
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char filename[50]; |
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snprintf(filename, sizeof(filename), "%s%d", "../output/output_", iteration); |
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FILE *file; |
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file = fopen(filename, "w"); |
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for (int rows=0; rows<NUMBER_OF_POINTS; ++rows){ |
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for (int cols=0; cols<DIMENSIONS; ++cols){ |
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fprintf(file, "%f", matrix[rows][cols]); |
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if (cols != DIMENSIONS - 1){ |
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fprintf(file, ","); |
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} |
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} |
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fprintf(file, "\n"); |
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} |
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} |
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@ -0,0 +1,19 @@ |
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#include "meanshift_kernels.h" |
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#include <stdio.h> |
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__global__ void multiply_kernel(Matrix matrix1, Matrix matrix2, Matrix output){ |
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// Each thread computes one element of output |
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// by accumulating results into cell_value |
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double cell_value = 0; |
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int row = blockIdx.y * blockDim.y + threadIdx.y; |
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int col = blockIdx.x * blockDim.x + threadIdx.x; |
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if (row < output.height && col < output.width){ |
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for (int element_index = 0; element_index < matrix1.width; ++element_index){ |
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cell_value += matrix1.elements[row * matrix1.width + element_index] |
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* matrix2.elements[element_index * matrix2.width + col]; |
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} |
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printf("%f\n", cell_value); |
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output.elements[row * output.width + col] = cell_value; |
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} |
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} |
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@ -0,0 +1,13 @@ |
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#ifndef SERIAL_KERNELS_H /* Include guard */ |
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#define SERIAL_KERNELS_H |
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typedef struct{ |
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int width; |
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int height; |
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double *elements; |
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} Matrix; |
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//Function multiply_kernel calculates the product of matrices 1 and 2 into output.
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__global__ void multiply_kernel(Matrix matrix1, Matrix matrix2, Matrix output); |
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#endif //SERIAL_KERNELS_H
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@ -0,0 +1,282 @@ |
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#include <stdio.h> |
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#include <stdlib.h> |
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#include <math.h> |
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#include <float.h> |
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#include <string.h> |
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#include "meanshift_utils.h" |
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#include "meanshift_kernels.h" |
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#define OUTPUT_PREFIX "../output/output_" |
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#define BLOCK_SIZE 16 |
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void get_args(int argc, char **argv){ |
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if (argc != 6) { |
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printf("Usage: %s h N D Pd Pl\nwhere:\n", argv[0]); |
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printf("\th is the variance\n"); |
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printf("\tN is the the number of points\n"); |
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printf("\tD is the number of dimensions of each point\n"); |
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printf("\tPd is the path of the dataset file\n"); |
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printf("\tPl is the path of the labels file\n"); |
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exit(1); |
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} |
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DEVIATION = atoi(argv[1]); |
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NUMBER_OF_POINTS = atoi(argv[2]); |
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DIMENSIONS = atoi(argv[3]); |
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POINTS_FILENAME = argv[4]; |
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LABELS_FILENAME = argv[5]; |
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} |
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void init(double ***vectors, char **labels, parameters *params){ |
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int bytes_read = 0; |
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// initializes vectors |
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FILE *points_file; |
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points_file = fopen(POINTS_FILENAME, "rb"); |
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if (points_file != NULL){ |
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// allocates memory for the array |
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(*vectors) = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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// reads vectors dataset from file |
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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bytes_read = fread((*vectors)[i], sizeof(double), DIMENSIONS, points_file); |
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if ( bytes_read != DIMENSIONS ){ |
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if(feof(points_file)){ |
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printf("Premature end of file reached.\n"); |
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} else{ |
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printf("Error reading points file."); |
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} |
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fclose(points_file); |
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exit(EXIT_FAILURE); |
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} |
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} |
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} else { |
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printf("Error reading dataset file.\n"); |
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exit(EXIT_FAILURE); |
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} |
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fclose(points_file); |
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|
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// initializes file that will contain the labels (train) |
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FILE *labels_file; |
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labels_file = fopen(LABELS_FILENAME, "rb"); |
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if (labels_file != NULL){ |
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// NOTE : Labels were classified as <class 'numpy.uint8'> |
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// variables of type uint8 are stored as 1-byte (8-bit) unsigned integers |
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// gets number of labels |
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fseek(labels_file, 0L, SEEK_END); |
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long int pos = ftell(labels_file); |
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rewind(labels_file); |
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int label_elements = pos/ sizeof(char); |
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// allocates memory for the array |
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*labels = (char*)malloc(label_elements* sizeof(char)); |
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fseek(labels_file, 0L, SEEK_SET); |
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bytes_read = fread((*labels), sizeof(char), label_elements, labels_file); |
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if ( bytes_read != label_elements ){ |
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if(feof(points_file)){ |
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printf("Premature end of file reached.\n"); |
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} else{ |
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printf("Error reading points file."); |
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} |
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fclose(labels_file); |
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exit(EXIT_FAILURE); |
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} |
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} |
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fclose(labels_file); |
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|
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// MEAN SHIFT OPTIONS |
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params->epsilon = 0.0001; |
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params->verbose = false; |
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params->display = false; |
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} |
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|
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int meanshift(double **original_points, double ***shifted_points, int deviation |
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, parameters *opt){ |
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static int iteration = 0; |
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static double **mean_shift_vector, **kernel_matrix, *denominator; |
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|
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// allocates memory and copies original points on first iteration |
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if (iteration == 0 || (*shifted_points) == NULL){ |
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(*shifted_points) = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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duplicate(original_points, NUMBER_OF_POINTS, DIMENSIONS, shifted_points); |
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|
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// allocates memory for mean shift vector |
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mean_shift_vector = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
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// initializes elements of mean_shift_vector to inf |
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for (int i=0;i<NUMBER_OF_POINTS;i++){ |
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for (int j=0;j<DIMENSIONS;j++){ |
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mean_shift_vector[i][j] = DBL_MAX; |
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} |
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} |
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|
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// allocates memory for other arrays needed |
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kernel_matrix = alloc_2d_double(NUMBER_OF_POINTS, NUMBER_OF_POINTS); |
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denominator = (double *)malloc(NUMBER_OF_POINTS * sizeof(double)); |
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} |
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|
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// finds pairwise distance matrix (inside radius) |
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// [I, D] = rangesearch(x,y,h); |
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for (int i=0; i<NUMBER_OF_POINTS; i++){ |
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double sum = 0; |
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for (int j=0; j<NUMBER_OF_POINTS; j++){ |
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double distance = calculateDistance((*shifted_points)[i] |
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, original_points[j]); |
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|
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double deviation_square = deviation*deviation; |
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if (distance < deviation_square){ |
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// computes kernel matrix |
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double pow = ((-1)*(distance * distance))/(2*(deviation_square)); |
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kernel_matrix[i][j] = exp(pow); |
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} else { |
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kernel_matrix[i][j] = 0; |
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} |
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if (i == j){ |
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kernel_matrix[i][j] += 1; |
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} |
|||
sum = sum + kernel_matrix[i][j]; |
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} |
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denominator[i] = sum; |
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} |
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|
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// creates new y vector |
|||
double **new_shift = alloc_2d_double(NUMBER_OF_POINTS, DIMENSIONS); |
|||
//============================================================================== |
|||
|
|||
// builds nominator |
|||
/*multiply(kernel_matrix, original_points, new_shift);*/ |
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|
|||
Matrix d_kernel_matrix; |
|||
d_kernel_matrix.width = NUMBER_OF_POINTS; |
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d_kernel_matrix.height = NUMBER_OF_POINTS; |
|||
int size = NUMBER_OF_POINTS * NUMBER_OF_POINTS * sizeof(double); |
|||
cudaMalloc(&d_kernel_matrix.elements, size); |
|||
cudaMemcpy(d_kernel_matrix.elements, &(kernel_matrix[0][0]), size, cudaMemcpyHostToDevice); |
|||
|
|||
Matrix d_original_points; |
|||
d_original_points.width = DIMENSIONS; |
|||
d_original_points.height = NUMBER_OF_POINTS; |
|||
size = NUMBER_OF_POINTS * DIMENSIONS * sizeof(double); |
|||
cudaMalloc(&d_original_points.elements, size); |
|||
cudaMemcpy(d_original_points.elements, &(original_points[0][0]), size, cudaMemcpyHostToDevice); |
|||
|
|||
Matrix d_new_shift; |
|||
d_new_shift.width = DIMENSIONS; |
|||
d_new_shift.height = NUMBER_OF_POINTS; |
|||
size = NUMBER_OF_POINTS * DIMENSIONS * sizeof(double); |
|||
cudaMalloc(&d_new_shift.elements, size); |
|||
|
|||
dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE); |
|||
dim3 dimGrid(d_original_points.width / dimBlock.x, d_kernel_matrix.height / dimBlock.y); |
|||
|
|||
multiply_kernel<<<dimGrid, dimBlock>>>(d_kernel_matrix, d_original_points |
|||
, d_new_shift); |
|||
|
|||
size = NUMBER_OF_POINTS * DIMENSIONS * sizeof(double); |
|||
cudaMemcpy(&(new_shift[0][0]), d_new_shift.elements, size, cudaMemcpyDeviceToHost); |
|||
|
|||
cudaFree(d_kernel_matrix.elements); |
|||
cudaFree(d_original_points.elements); |
|||
cudaFree(d_new_shift.elements); |
|||
|
|||
//============================================================================== |
|||
|
|||
// divides element-wise |
|||
for (int i=0; i<NUMBER_OF_POINTS; i++){ |
|||
for (int j=0; j<DIMENSIONS; j++){ |
|||
new_shift[i][j] = new_shift[i][j] / denominator[i]; |
|||
// calculates mean-shift vector at the same time |
|||
mean_shift_vector[i][j] = new_shift[i][j] - (*shifted_points)[i][j]; |
|||
} |
|||
} |
|||
|
|||
// frees previously shifted points, they're now garbage |
|||
free((*shifted_points)[0]); |
|||
// updates shifted points pointer to the new array address |
|||
shifted_points = &new_shift; |
|||
|
|||
save_matrix((*shifted_points), iteration); |
|||
|
|||
// calculates norm of the new mean shift vector |
|||
double current_norm = norm(mean_shift_vector, NUMBER_OF_POINTS, DIMENSIONS); |
|||
printf("Iteration n. %d, error %f \n", iteration, current_norm); |
|||
|
|||
/** iterates until convergence **/ |
|||
if (current_norm > opt->epsilon) { |
|||
++iteration; |
|||
meanshift(original_points, shifted_points, deviation, opt); |
|||
} |
|||
|
|||
if (iteration == 0){ |
|||
// cleans up this iteration's allocations |
|||
free(mean_shift_vector[0]); |
|||
free(mean_shift_vector); |
|||
free(kernel_matrix[0]); |
|||
free(kernel_matrix); |
|||
free(denominator); |
|||
} |
|||
|
|||
return iteration; |
|||
} |
|||
|
|||
// TODO check why there's is a difference in the norm calculate in matlab |
|||
double norm(double **matrix, int rows, int cols){ |
|||
double sum=0, temp_mul=0; |
|||
for (int i=0; i<rows; i++) { |
|||
for (int j=0; j<cols; j++) { |
|||
temp_mul = matrix[i][j] * matrix[i][j]; |
|||
sum = sum + temp_mul; |
|||
} |
|||
} |
|||
double norm = sqrt(sum); |
|||
return norm; |
|||
} |
|||
|
|||
double calculateDistance(double *y, double *x){ |
|||
double sum = 0, dif; |
|||
for (int i=0; i<DIMENSIONS; i++){ |
|||
dif = y[i]-x[i]; |
|||
sum += dif * dif; |
|||
} |
|||
double distance = sqrt(sum); |
|||
return distance; |
|||
} |
|||
|
|||
double **alloc_2d_double(int rows, int cols) { |
|||
double *data = (double *) malloc(rows*cols*sizeof(double)); |
|||
double **array = (double **) malloc(rows*sizeof(double*)); |
|||
for (int i=0; i<rows; i++) |
|||
array[i] = &(data[cols*i]); |
|||
return array; |
|||
} |
|||
|
|||
void duplicate(double **source, int rows, int cols, double ***dest){ |
|||
for (int i=0; i<rows; i++){ |
|||
for (int j=0; j<cols; j++){ |
|||
(*dest)[i][j] = source[i][j]; |
|||
} |
|||
} |
|||
} |
|||
|
|||
void print_matrix(double **array, int rows, int cols){ |
|||
for (int i=0; i<cols; i++){ |
|||
for (int j=0; j<rows; j++){ |
|||
printf("%f ", array[j][i]); |
|||
} |
|||
printf("\n"); |
|||
} |
|||
} |
|||
|
|||
void save_matrix(double **matrix, int iteration){ |
|||
char filename[50]; |
|||
snprintf(filename, sizeof(filename), "%s%d", "../output/output_", iteration); |
|||
FILE *file; |
|||
file = fopen(filename, "w"); |
|||
for (int rows=0; rows<NUMBER_OF_POINTS; ++rows){ |
|||
for (int cols=0; cols<DIMENSIONS; ++cols){ |
|||
fprintf(file, "%f", matrix[rows][cols]); |
|||
if (cols != DIMENSIONS - 1){ |
|||
fprintf(file, ","); |
|||
} |
|||
} |
|||
fprintf(file, "\n"); |
|||
} |
|||
} |
|||
Loading…
Reference in new issue