diff --git a/CMakeLists.txt b/CMakeLists.txt
index 5dd3f86..09cabc0 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -8,4 +8,6 @@ include_directories(.)
 add_executable(c_cnn
         cnn.c
         cnn.h
-        main.c)
+        main.c
+        cnn_model.c
+        debug.c)
diff --git a/cnn.c b/cnn.c
index 7e94608..e69de29 100644
--- a/cnn.c
+++ b/cnn.c
@@ -1,5 +0,0 @@
-//
-// Created by Qi on 2024/11/9.
-//
-
-#include "cnn.h"
diff --git a/cnn.h b/cnn.h
index d46d623..382535c 100644
--- a/cnn.h
+++ b/cnn.h
@@ -1,8 +1,18 @@
-//
-// Created by Qi on 2024/11/9.
-//
+#ifndef _CNN_H_
+#define _CNN_H_
 
-#ifndef C_CNN_CNN_H
-#define C_CNN_CNN_H
 
-#endif //C_CNN_CNN_H
+
+
+
+
+
+
+
+
+
+
+
+
+
+#endif
diff --git a/cnn_model.c b/cnn_model.c
new file mode 100644
index 0000000..d3eb79f
--- /dev/null
+++ b/cnn_model.c
@@ -0,0 +1,382 @@
+#include "cnn_model.h"
+
+
+
+Model conv1_bias;
+Model conv1_weight;
+Model conv2_bias;
+Model conv2_weight;
+Model conv3_bias;
+Model conv3_weight;
+Model fc1_bias;
+Model fc1_weight;
+Model fc2_bias;
+Model fc2_weight;
+Model data;
+
+
+
+float* modelmym_init(char* model_name){
+	if(conv1_bias.array == NULL && strcmp(model_name, "conv1_bias") == 0)
+		return conv1_bias.array = (float*)malloc(CONV1_BIAS_ARRSIZE * sizeof(float));
+	else if(conv1_weight.array == NULL && strcmp(model_name, "conv1_weight") == 0)
+		return conv1_weight.array = (float*)malloc(CONV1_WEIGHT_ARRSIZE * sizeof(float));
+	else if(conv2_bias.array == NULL && strcmp(model_name, "conv2_bias") == 0)
+		return conv2_bias.array = (float*)malloc(CONV2_BIAS_ARRSIZE * sizeof(float));
+	else if(conv2_weight.array == NULL && strcmp(model_name, "conv2_weight") == 0)
+		return conv2_weight.array = (float*)malloc(CONV2_WEIGHT_ARRSIZE * sizeof(float));
+	else if(conv3_bias.array == NULL && strcmp(model_name, "conv3_bias") == 0)
+		return conv3_bias.array = (float*)malloc(CONV3_BIAS_ARRSIZE * sizeof(float));
+	else if(conv3_weight.array == NULL && strcmp(model_name, "conv3_weight") == 0)
+		return conv3_weight.array = (float*)malloc(CONV3_WEIGHT_ARRSIZE * sizeof(float));
+	else if(fc1_bias.array == NULL && strcmp(model_name, "fc1_bias") == 0)
+		return fc1_bias.array = (float*)malloc(FC1_BIAS_ARRSIZE * sizeof(float));
+	else if(fc1_weight.array == NULL && strcmp(model_name, "fc1_weight") == 0)
+		return fc1_weight.array = (float*)malloc(FC1_WEIGHT_ARRSIZE * sizeof(float));
+	else if(fc2_bias.array == NULL && strcmp(model_name, "fc2_bias") == 0)
+		return fc2_bias.array = (float*)malloc(FC2_BIAS_ARRSIZE * sizeof(float));
+	else if(fc2_weight.array == NULL && strcmp(model_name, "fc2_weight") == 0)
+		return fc2_weight.array = (float*)malloc(FC2_WEIGHT_ARRSIZE * sizeof(float));
+	else if(data.array == NULL && strcmp(model_name, "data") == 0)
+		return data.array = (float*)malloc(DATA_ARRSIZE * sizeof(float));
+	else if(strcmp(model_name, "all") == 0){
+		if(conv1_bias.array == NULL)conv1_bias.array = (float*)malloc(CONV1_BIAS_ARRSIZE * sizeof(float));
+		if(conv1_weight.array == NULL)conv1_weight.array = (float*)malloc(CONV1_WEIGHT_ARRSIZE * sizeof(float));
+		if(conv2_bias.array == NULL)conv2_bias.array = (float*)malloc(CONV2_BIAS_ARRSIZE * sizeof(float));
+		if(conv2_weight.array == NULL)conv2_weight.array = (float*)malloc(CONV2_WEIGHT_ARRSIZE * sizeof(float));
+		if(conv3_bias.array == NULL)conv3_bias.array = (float*)malloc(CONV3_BIAS_ARRSIZE * sizeof(float));
+		if(conv3_weight.array == NULL)conv3_weight.array = (float*)malloc(CONV3_WEIGHT_ARRSIZE * sizeof(float));
+		if(fc1_bias.array == NULL)fc1_bias.array = (float*)malloc(FC1_BIAS_ARRSIZE * sizeof(float));
+		if(fc1_weight.array == NULL)fc1_weight.array = (float*)malloc(FC1_WEIGHT_ARRSIZE * sizeof(float));
+		if(fc2_bias.array == NULL)fc2_bias.array = (float*)malloc(FC2_BIAS_ARRSIZE * sizeof(float));
+		if(fc2_weight.array == NULL)fc2_weight.array = (float*)malloc(FC2_WEIGHT_ARRSIZE * sizeof(float));
+		if(data.array == NULL)data.array = (float*)malloc(DATA_ARRSIZE * sizeof(float));
+	}
+	return NULL;
+}
+
+
+
+u8 modelmym_free(char* model_name){
+	if(conv1_bias.array != NULL && strcmp(model_name, "conv1_bias") == 0){
+		free(conv1_bias.array);
+		conv1_bias.array = NULL;
+		conv1_bias.realength = 0;
+		return 1;
+	}
+	else if(conv1_weight.array != NULL && strcmp(model_name, "conv1_weight") == 0){
+		free(conv1_weight.array);
+		conv1_weight.array = NULL;
+		conv1_weight.realength = 0;
+		return 1;
+	}
+	else if(conv2_bias.array != NULL && strcmp(model_name, "conv2_bias") == 0){
+		free(conv2_bias.array);
+		conv2_bias.array = NULL;
+		conv2_bias.realength = 0;
+		return 1;
+	}
+	else if(conv2_weight.array != NULL && strcmp(model_name, "conv2_weight") == 0){
+		free(conv2_weight.array);
+		conv2_weight.array = NULL;
+		conv2_weight.realength = 0;
+		return 1;
+	}
+	else if(conv3_bias.array != NULL && strcmp(model_name, "conv3_bias") == 0){
+		free(conv3_bias.array);
+		conv3_bias.array = NULL;
+		conv3_bias.realength = 0;
+		return 1;
+	}
+	else if(conv3_weight.array != NULL && strcmp(model_name, "conv3_weight") == 0){
+		free(conv3_weight.array);
+		conv3_weight.array = NULL;
+		conv3_weight.realength = 0;
+		return 1;
+	}
+	else if(fc1_bias.array != NULL && strcmp(model_name, "fc1_bias") == 0){
+		free(fc1_bias.array);
+		fc1_bias.array = NULL;
+		fc1_bias.realength = 0;
+		return 1;
+	}
+	else if(fc1_weight.array != NULL && strcmp(model_name, "fc1_weight") == 0){
+		free(fc1_weight.array);
+		fc1_weight.array = NULL;
+		fc1_weight.realength = 0;
+		return 1;
+	}
+	else if(fc2_bias.array != NULL && strcmp(model_name, "fc2_bias") == 0){
+		free(fc2_bias.array);
+		fc2_bias.array = NULL;
+		fc2_bias.realength = 0;
+		return 1;
+	}
+	else if(fc2_weight.array != NULL && strcmp(model_name, "fc2_weight") == 0){
+		free(fc2_weight.array);
+		fc2_weight.array = NULL;
+		fc2_weight.realength = 0;
+		return 1;
+	}
+	else if(data.array != NULL && strcmp(model_name, "data") == 0){
+		free(data.array);
+		data.array = NULL;
+		data.realength = 0;
+		return 1;
+	}
+	else if(strcmp(model_name, "all") == 0){
+		modelmym_free("conv1_bias");
+		modelmym_free("conv1_weight");
+		modelmym_free("conv2_bias");
+		modelmym_free("conv2_weight");
+		modelmym_free("conv3_bias");
+		modelmym_free("conv3_weight");
+		modelmym_free("fc1_bias");
+		modelmym_free("fc1_weight");
+		modelmym_free("fc2_bias");
+		modelmym_free("fc2_weight");
+		modelmym_free("data");
+		return 2;
+	}
+	return 0;
+}
+
+
+
+u8 model_write(char* model_name)
+{
+	if(strcmp(model_name, "all") == 0){
+		model_write("conv1_bias");
+		model_write("conv1_weight");
+		model_write("conv2_bias");
+		model_write("conv2_weight");
+		model_write("conv3_bias");
+		model_write("conv3_weight");
+		model_write("fc1_bias");
+		model_write("fc1_weight");
+		model_write("fc2_bias");
+		model_write("fc2_weight");
+
+		model_info("all");
+		SDRAM_USED();
+	}else{
+			u8 _times=0;
+			u32 _larr = 0;
+            u8 _len = strlen(model_name);
+			char _path[_len+1+7+30];
+            char _fstr[READLENGTH+1] = {0};
+			int progress;
+			Model *_model = model(model_name);
+			
+            if(_model == NULL || strcmp(model_name, "data") == 0){
+                sprintf(_path, "./dataset/%s.txt", model_name);
+                FILE *file = fopen(_path, "r");
+                if(file == NULL){
+                    DEBUG_PRINTF("\r\n输入了一个无效的模型或Data数据集的名字\r\n");
+                    return 199;
+                }else{
+                    _model = model("data");
+                    _model -> dname = model_name;
+                }
+            }
+
+            if(_model -> dname == NULL){
+                sprintf(_path, "./dataset/%s.txt", _model -> name);
+                FILE *file = fopen(_path, "r");
+                if(file == NULL){
+                    DEBUG_PRINTF("预设里没有这个模型：[%s]\r\n", _path);
+                    return 4;
+                }
+            }
+            
+            if(_model -> array == NULL && modelmym_init(_model -> name) == NULL){
+                DEBUG_PRINTF("无法创建模型参数[%s]的数组到SDRAM里\r\n", _model -> name);
+                return 200;
+            }
+
+            sprintf(_path, "./dataset/%s.txt", _model -> name);
+            FILE *file = fopen(_path, "r");
+
+            DEBUG_PRINTF("写入的模型参数名字是：%s\r\n", _model -> name);
+            if(_model -> dname)DEBUG_PRINTF("写入的Data数据集是：%s\r\n", _model -> dname);
+            DEBUG_PRINTF("写入模型参数数组的最大长度为：%d\r\n", _model -> maxlength);
+            DEBUG_PRINTF("目前数组存活的元素数量为：%d", _model -> realength);
+			printf("\r\n正在写入模型参数'%s'，请稍后......\r\n",_model -> dname ? _model -> dname : _model -> name);
+
+			while(_larr < _model->maxlength && fgets(_fstr, sizeof(_fstr), file) != NULL){
+                char *endptr;
+                float value = strtof(_fstr, &endptr);
+
+                // 检查是否转换成功
+                if (endptr == _fstr) {
+                    fprintf(stderr, "第 %d 行不是有效的浮点数: %s", _larr + 1, _fstr);
+                    continue;  // 跳过无效行
+                }
+                _model->array[_larr++] = value;
+                _model->realength++;
+
+                if(_model -> maxlength >= 73728 && (_larr >= (_model -> maxlength/10)*_times)){
+						progress = _larr >= _model -> maxlength ? 100 : _times++ == 0 ? 0 : progress + 10;
+						DEBUG_PRINTF("\r\n[");
+						for(u16 j=0; j<50;j++){
+							if(j < progress/2) DEBUG_PRINTF("=");
+							else DEBUG_PRINTF(" ");
+						}
+						DEBUG_PRINTF("] %d%%", progress);
+					}
+                if(_larr >= _model -> maxlength)break;
+			}
+			DEBUG_PRINTF("\r\n模型参数[%s]已写入到内存中! 模型长度为 %d\r\n",_model -> dname ? _model -> dname : _model -> name,_model -> realength);
+			return 1;
+	}
+	return 0;
+}
+
+
+
+u8 model_read(char* model_name, u32 start, u32 end, u32 gap){
+	if(strcmp(model_name, "all") == 0){
+		model_read("conv1_bias", start, end, gap);
+		model_read("conv1_weight", start, end, gap);
+		model_read("conv2_bias", start, end, gap);
+		model_read("conv2_weight", start, end, gap);
+		model_read("conv3_bias", start, end, gap);
+		model_read("conv3_weight", start, end, gap);
+		model_read("fc1_bias", start, end, gap);
+		model_read("fc1_weight", start, end, gap);
+		model_read("fc2_bias", start, end, gap);
+		model_read("fc2_weight", start, end, gap);
+		model_read("data", start, end, gap);
+	}else{
+		Model *_model = model(model_name);
+		if(_model == NULL || end == 0 || start > _model -> realength || end > _model -> realength)return 0;
+		if(_model -> realength){
+			for (u32 i=0;i<((end > (_model -> realength) ? _model -> realength : (end-start))+(end > (_model -> realength) ? _model -> realength : (end-start)%gap ? 2 : 1));i+=gap)
+				printf("\r\n%s_floatArray[%d]: %f",_model->name,(i+start)<_model->realength ? i+start : _model->realength-1,(i+start)<_model->realength ? _model->array[i+start] : _model->array[_model -> realength-1]);
+			printf("\r\n");
+			return 1;
+		}
+	}
+	return 0;
+}
+
+
+
+u8 model_switchdata(char* data_name){
+	u8 _len = strlen(data_name);
+	char _path[_len+1+7];
+	if(data.array != NULL)modelmym_free("data");
+    sprintf(_path, "./dataset/%s.txt", data_name);
+    FILE *file = fopen(_path, "r");
+    if(file == NULL){
+		DEBUG_PRINTF("\r\nData数据集[%s]不存在\r\n",data_name);
+		return 0;
+	}else{
+		u8 _res = model_write(data_name);
+		if (_res == 0) {
+			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);
+		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;
+	}
+}
+
+void model_dataset(){
+printf("\r\ndataset is: %s\r\n",data.dname);
+}
+
+u8 model_info(char* model_name){
+	if(strcmp(model_name, "all") == 0){
+		model_info("conv1_bias");
+		model_info("conv1_weight");
+		model_info("conv2_bias");
+		model_info("conv2_weight");
+		model_info("conv3_bias");
+		model_info("conv3_weight");
+		model_info("fc1_bias");
+		model_info("fc1_weight");
+		model_info("fc2_bias");
+		model_info("fc2_weight");
+		model_info("data");
+		return 1;
+	}else if(model(model_name)){
+		Model *_model = model(model_name);
+		printf("\r\nmodel.name is: %s\r\n",_model -> name);
+		printf("model.array.address is: 0X%X\r\n",_model -> array);
+		printf("model.maxlength is: %d\r\n",_model -> maxlength);
+		printf("model.realength is: %d\r\n",_model -> realength);
+		//if(strcmp(_model -> name, "data") == 0)printf("dataset is: %s\r\n",_model -> dname); 这函数有BUG，用model_dataset函数
+		return 1;
+	}
+	return 0;
+}
+
+
+
+void* model(char* model_name){
+	if(strcmp(model_name, "conv1_bias") == 0)return &conv1_bias;
+	else if(strcmp(model_name, "conv1_weight") == 0)return &conv1_weight;
+	else if(strcmp(model_name, "conv2_bias") == 0)return &conv2_bias;
+	else if(strcmp(model_name, "conv2_weight") == 0)return &conv2_weight;
+	else if(strcmp(model_name, "conv3_bias") == 0)return &conv3_bias;
+	else if(strcmp(model_name, "conv3_weight") == 0)return &conv3_weight;
+	else if(strcmp(model_name, "fc1_bias") == 0)return &fc1_bias;
+	else if(strcmp(model_name, "fc1_weight") == 0)return &fc1_weight;
+	else if(strcmp(model_name, "fc2_bias") == 0)return &fc2_bias;
+	else if(strcmp(model_name, "fc2_weight") == 0)return &fc2_weight;
+	else if(strcmp(model_name, "data") == 0)return &data;
+	return NULL;
+}
+
+
+
+void model_init(){
+
+	conv1_bias.name = "conv1_bias";
+	conv1_bias.array = modelmym_init(conv1_bias.name);
+	conv1_bias.maxlength = CONV1_BIAS_ARRSIZE;
+
+	conv1_weight.name = "conv1_weight";
+	conv1_weight.array = modelmym_init(conv1_weight.name);
+	conv1_weight.maxlength = CONV1_WEIGHT_ARRSIZE;
+
+	conv2_bias.name = "conv2_bias";
+	conv2_bias.array = modelmym_init(conv2_bias.name);
+	conv2_bias.maxlength = CONV2_BIAS_ARRSIZE;
+
+	conv2_weight.name = "conv2_weight";
+	conv2_weight.array = modelmym_init(conv2_weight.name);
+	conv2_weight.maxlength = CONV2_WEIGHT_ARRSIZE;
+
+	conv3_bias.name = "conv3_bias";
+	conv3_bias.array = modelmym_init(conv3_bias.name);
+	conv3_bias.maxlength = CONV3_BIAS_ARRSIZE;
+
+	conv3_weight.name = "conv3_weight";
+	conv3_weight.array = modelmym_init(conv3_weight.name);
+	conv3_weight.maxlength = CONV3_WEIGHT_ARRSIZE;
+
+	fc1_bias.name = "fc1_bias";
+	fc1_bias.array = modelmym_init(fc1_bias.name);
+	fc1_bias.maxlength = FC1_BIAS_ARRSIZE;
+
+	fc1_weight.name = "fc1_weight";
+	fc1_weight.array = modelmym_init(fc1_weight.name);
+	fc1_weight.maxlength = FC1_WEIGHT_ARRSIZE;
+
+	fc2_bias.name = "fc2_bias";
+	fc2_bias.array = modelmym_init(fc2_bias.name);
+	fc2_bias.maxlength = FC2_BIAS_ARRSIZE;
+
+	fc2_weight.name = "fc2_weight";
+	fc2_weight.array = modelmym_init(fc2_weight.name);
+	fc2_weight.maxlength = FC2_WEIGHT_ARRSIZE;
+
+	data.name = "data";
+	data.array = modelmym_init(data.name);
+	data.maxlength = DATA_ARRSIZE;
+	data.dname = "data";
+}
+
diff --git a/cnn_model.h b/cnn_model.h
new file mode 100644
index 0000000..08c1e82
--- /dev/null
+++ b/cnn_model.h
@@ -0,0 +1,72 @@
+#ifndef CNNMODEL_H_
+#define CNNMODEL_H_
+#include "malloc.h"
+#include "debug.h"
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <stdint.h>
+
+
+typedef struct {
+	char* 	name;
+	char* 	dname;
+	float* 	array;
+	u32 	maxlength;
+	u32		realength;
+} Model;
+
+
+
+#define READLENGTH (11*10)
+#define CONV1_BIAS_ARRSIZE (32)
+#define CONV1_WEIGHT_ARRSIZE (32*1*3*3)		//288
+#define CONV2_BIAS_ARRSIZE (64)
+#define CONV2_WEIGHT_ARRSIZE (64*32*3*3)		//18432
+#define CONV3_BIAS_ARRSIZE (128)
+#define CONV3_WEIGHT_ARRSIZE (128*64*3*3)		//73728
+#define FC1_BIAS_ARRSIZE (128)
+#define FC1_WEIGHT_ARRSIZE (128*18432)		//2359296
+#define FC2_BIAS_ARRSIZE (7)
+#define FC2_WEIGHT_ARRSIZE (7*128)			//896
+#define DATA_ARRSIZE (1250000)				//1250000
+
+
+
+extern Model conv1_bias;
+extern Model conv1_weight;
+extern Model conv2_bias;
+extern Model conv2_weight;
+extern Model conv3_bias;
+extern Model conv3_weight;
+extern Model fc1_bias;
+extern Model fc1_weight;
+extern Model fc2_bias;
+extern Model fc2_weight;
+extern Model data;
+
+
+
+float* modelmym_init(char* model_name);
+u8 modelmym_free(char* model_name);
+u8 model_write(char* model_name);
+u8 model_read(char* model_name, u32 start, u32 end, u32 gap);
+u8 model_switchdata(char* model_name);
+void model_dataset(void);
+u8 model_info(char* model_name);
+void* model(char* model_name);
+void model_init(void);
+
+
+
+//conv1_bias[a*1]					a:0~31
+//conv1_weight[a*9+b*9+c*3+d*1]		a:0~31 b:0 c:0~2 d:0~2 
+//conv2_bias[a*1]					a:0~63
+//conv2_weight[a*288+b*9+c*3+d*1]	a:0~63 b:0~31 c:0~2 d:0~2 
+//conv3_bias[a*1]					a:0~127
+//conv3_weight[a*576+b*9+c*3+d*1]	a:0~127 b:0~63 c:0~2 d:0~2 
+//fc1_bias[a*1]						a:0~127
+//fc1_weight[a*18432+b*1]			a:0~127 b:0~18431
+//fc2_bias[a*1]						a:0~6
+//fc2_weight[a*128+b*1]				a:0~6 b:0~127
+#endif
diff --git a/debug.c b/debug.c
new file mode 100644
index 0000000..f7bbac0
--- /dev/null
+++ b/debug.c
@@ -0,0 +1,27 @@
+#include "debug.h"
+
+
+u8 _DEBUG = 1;
+
+
+
+void DEBUG(){
+	_DEBUG = !_DEBUG;
+	printf("DEBUG IS: %s",(_DEBUG ? "ON" : "OFF"));
+}
+
+
+
+void DEBUG_PRINTF(const char *fmt, ...) {
+	if(_DEBUG){
+		va_list args;
+		va_start(args, fmt);
+		vprintf(fmt, args);
+		va_end(args);
+	}
+}
+
+
+
+void SDRAM_USED(){
+}
diff --git a/debug.h b/debug.h
new file mode 100644
index 0000000..e0b2ee7
--- /dev/null
+++ b/debug.h
@@ -0,0 +1,19 @@
+#ifndef DEBUG_H_
+#define DEBUG_H_
+
+#include <stdio.h>
+#include <stdarg.h>
+#include <stdlib.h>
+#include <string.h>
+#include <stdint.h>
+#include "malloc.h"
+
+typedef uint32_t u32;
+typedef uint16_t u16;
+typedef uint8_t u8;
+
+void DEBUG(void);
+void DEBUG_PRINTF(const char *fmt, ...);
+void SDRAM_USED(void);
+
+#endif
diff --git a/main.c b/main.c
index 46e0f43..485f076 100644
--- a/main.c
+++ b/main.c
@@ -1,3 +1,20 @@
 //
 // Created by Qi on 2024/11/9.
 //
+
+#include "cnn_model.h"
+
+void main(){
+    u8 res;
+    model_init();
+    model_write("all");
+    model_switchdata("C1autosave00095_right_new_2");
+
+
+
+
+
+
+    model_info("all");
+    DEBUG_PRINTF("\r\nEnd结束");
+}
\ No newline at end of file