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Fix abusive unnecessary use of shared memory

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This commit is contained in:
augustin64 2023-02-19 10:22:22 +01:00
parent ec36801732
commit db92b367ad
2 changed files with 20 additions and 20 deletions
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28
src/cnn/test_network.c
View File

@ -30,7 +30,7 @@ void test_network_mnist(Network* network, char* images_file, char* labels_file,
width = mnist_parameters[1];
height = mnist_parameters[2];
gree(mnist_parameters);
free(mnist_parameters);
// Load image in the first layer of the Network
for (int i=0; i < nb_elem; i++) {
@ -47,11 +47,11 @@ void test_network_mnist(Network* network, char* images_file, char* labels_file,
}
for (int j=0; j < height; j++) {
gree(images[i][j]);
free(images[i][j]);
}
gree(images[i]);
free(images[i]);
}
gree(images);
free(images);
printf("%d Images. Taux de réussite: %.2f%%\n", nb_elem, 100*accuracy/(float)nb_elem);
}
@ -76,13 +76,13 @@ void test_network_jpg(Network* network, char* data_dir, bool preview_fails) {
accuracy++;
}
gree(dataset->images[i]);
free(dataset->images[i]);
}
printf("%d Images. Taux de réussite: %.2f%%\n", dataset->numImages, 100*accuracy/(float)dataset->numImages);
gree(dataset->images);
gree(dataset->labels);
gree(dataset);
free(dataset->images);
free(dataset->labels);
free(dataset);
}
@ -110,7 +110,7 @@ void recognize_mnist(Network* network, char* input_file, char* out) {
width = mnist_parameters[1];
height = mnist_parameters[2];
gree(mnist_parameters);
free(mnist_parameters);
if (! strcmp(out, "json")) {
printf("{\n");
@ -148,15 +148,15 @@ void recognize_mnist(Network* network, char* input_file, char* out) {
}
for (int j=0; j < height; j++) {
gree(images[i][j]);
free(images[i][j]);
}
gree(images[i]);
free(images[i]);
}
if (! strcmp(out, "json")) {
printf("}\n");
}
gree(images);
free(images);
}
void recognize_jpg(Network* network, char* input_file, char* out) {
@ -195,8 +195,8 @@ void recognize_jpg(Network* network, char* input_file, char* out) {
printf("}\n");
}
gree(image->lpData);
gree(image);
free(image->lpData);
free(image);
}
void recognize(int dataset_type, char* modele, char* input_file, char* out) {

12
src/cnn/train.c
View File

@ -72,7 +72,7 @@ void* train_thread(void* parameters) {
if (!param->dataset->images[index[i]]) {
image = loadJpegImageFile(param->dataset->fileNames[index[i]]);
param->dataset->images[index[i]] = image->lpData;
gree(image);
free(image);
}
write_image_in_network_260(param->dataset->images[index[i]], height, width, network->input[0]);
forward_propagation(network);
@ -83,7 +83,7 @@ void* train_thread(void* parameters) {
accuracy += 1.;
}
gree(param->dataset->images[index[i]]);
free(param->dataset->images[index[i]]);
param->dataset->images[index[i]] = NULL;
}
}
@ -351,12 +351,12 @@ void train(int dataset_type, char* images_file, char* labels_file, char* data_di
if (dataset_type == 0) {
for (int i=0; i < nb_images_total; i++) {
for (int j=0; j < 28; j++) {
gree(images[i][j]);
free(images[i][j]);
}
gree(images[i]);
free(images[i]);
}
gree(images);
gree(labels);
free(images);
free(labels);
} else {
free_dataset(dataset);
}