修复expand函数中无法malloc的bug：

原因是free的时候没有消除指针悬挂

cnn.c

@@ -17,11 +17,6 @@ void print_rslt(float* rslt, u8 input_matrix_length, u32 length){
 // 将原始矩阵复制到填充后的矩阵中央
 float* expand(const float* old_matrix, int old_matrix_length, int layer){
     float* new_matrix = (float *)malloc(sizeof(float)*layer*(old_matrix_length+2)*(old_matrix_length+2));
-    if (new_matrix == NULL) {
-        // 处理 malloc 失败的情况，例如打印错误并退出
-        perror("Memory allocation failed");
-        exit(1); // 退出程序
-    }
     memset(new_matrix, 0, sizeof(float)*layer*(old_matrix_length+2)*(old_matrix_length+2));
     for(int l=0; l < layer; l++){
         for (int i = 0; i < old_matrix_length; i++) {
@@ -272,42 +267,55 @@ void cnn_run(){
     float value[3] = {0};
     calculate_statistics(data,&value[0]);
     if (check_threshold(data,&value[0])){
-
         float* _data = generateMatrix(data,&value[0]);
 
-//        printf("最大值:%f 平均值:%f 标准差:%f\r\n",value[0],value[1],value[2]);
-//        print_rslt(_data,100,1*100*100);
-
         //第一层：填充102 * 102
         float* expand_matrix_1 = expand(_data, 100, 1);
         float* conv_rlst_1 = convolution(conv1_weight,conv1_bias,expand_matrix_1, 102);
         float* pool_rslt_1 = pooling(conv1_weight, conv_rlst_1, 100);
 
         free(_data);
+        _data = NULL;
         free(expand_matrix_1);
+        expand_matrix_1 = NULL;
         free(conv_rlst_1);
+        conv_rlst_1 = NULL;
+
         //第二层：填充32 * 52 * 52
         float* expand_matrix_2 = expand(pool_rslt_1, 50, 32);
         float* conv_rlst_2 = convolution(conv2_weight,conv2_bias,expand_matrix_2, 52);
         float* pool_rslt_2 = pooling(conv2_weight, conv_rlst_2, 50);
 
         free(pool_rslt_1);
+        pool_rslt_1 = NULL;
         free(expand_matrix_2);
+        expand_matrix_2 = NULL;
         free(conv_rlst_2);
+        conv_rlst_2 = NULL;
+
         //第三层：填充 64 * 27 * 27
         float* expand_matrix_3 = expand(pool_rslt_2, 25, 64);
         float* conv_rlst_3 = convolution(conv3_weight,conv3_bias,expand_matrix_3, 27);
         float* pool_rslt_3 = pooling(conv3_weight, conv_rlst_3, 25);
 
         free(pool_rslt_2);
+        pool_rslt_2 = NULL;
         free(expand_matrix_3);
+        expand_matrix_3 = NULL;
         free(conv_rlst_3);
+        conv_rlst_3 = NULL;
 
         float* affine1_rslt = hidden(pool_rslt_3);
         float* affine2_rslt = output(affine1_rslt);
 
         free(pool_rslt_3);
+        pool_rslt_3 = NULL;
         free(affine1_rslt);
+        affine1_rslt = NULL;
         free(affine2_rslt);
+        affine2_rslt = NULL;
+
+    } else{
+        printf("未放电！最大值:%f 平均值:%f 标准差:%f\r\n",value[0],value[1],value[2]);
     }
 }

cnn_model.c

@@ -283,7 +283,7 @@ u8 model_switchdata(char* data_name){
 			DEBUG_PRINTF("Data数据集[%s]切换失败！！\r\n",data_name);
 			return 0;
 		}
-		else printf("Data数据集[%s]切换成功！\r\n",data_name);
+		else DEBUG_PRINTF("Data数据集[%s]切换成功！\r\n",data_name);
 		DEBUG_PRINTF("data_name的长度为：%d\r\n_path的长度为：%d\r\n_path为：%s\r\n",_len,sizeof(_path),_path);
 		return 1;
 	}

main.c

@@ -6,8 +6,9 @@
 #include "cnn.h"
 
 
+
 void run_dataset(){
-    char* modelusearr[] = {
+    char* modelusearr_origin[] = {
             "C1autosave00095_right_new_2",
             "C1autosave00096_right_new_2",
             "C1autosave00097_right_new_2",
@@ -69,6 +70,23 @@ void run_dataset(){
             "filtered_C1autosave00039_right_new",
             "filtered_C1autosave00062_right_new",
     };
+    char* modelusearr_out[] = {
+            "split_1",
+            "split_2",
+            "split_3",
+            "split_4",
+            "split_5",
+            "split_6",
+            "split_7",
+            "split_8",
+            "split_9",
+            "split_10",
+    };
+/* 可用数据集如下
+ * modelusearr_origin
+ * modelusearr_out
+*/
+    #define modelusearr modelusearr_origin
     for(int a=0;a<(sizeof(modelusearr) / sizeof(modelusearr[0]));a++){
         SDRAM_USED();
         model_switchdata(modelusearr[a]);
@@ -83,8 +101,6 @@ int main(){
     model_write("all");
 
     run_dataset();
-//    model_switchdata("C1autosave00095_right_new_2");
-//    cnn_run();
 
     DEBUG_PRINTF("\r\nEnd结束");
-}
+}