From db92b367ad3f153052396dc661e34829d80f3ac8 Mon Sep 17 00:00:00 2001
From: augustin64 <me.git@augustin64.fr>
Date: Sun, 19 Feb 2023 10:22:22 +0100
Subject: [PATCH] Fix abusive unnecessary use of shared memory

---
 src/cnn/test_network.c | 28 ++++++++++++++--------------
 src/cnn/train.c        | 12 ++++++------
 2 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/src/cnn/test_network.c b/src/cnn/test_network.c
index 34e9960..1b65958 100644
--- a/src/cnn/test_network.c
+++ b/src/cnn/test_network.c
@@ -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) {
diff --git a/src/cnn/train.c b/src/cnn/train.c
index a7a3e49..e39b391 100644
--- a/src/cnn/train.c
+++ b/src/cnn/train.c
@@ -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);
     }