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c-cnn/cnn_model.c
2024-12-18 11:28:00 +08:00

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#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;
}
uint8_t 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;
}
uint8_t 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");
}else{
uint8_t _times=0;
uint32_t _larr = 0;
uint8_t _len = strlen(model_name);
char _path[_len+1+7+30];
char _datapath[_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/_data/%s.txt", model_name);
FILE *file = fopen(_path, "r");
if(file == NULL){
printf("\r\n<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>һ<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ч<EFBFBD><EFBFBD>ģ<EFBFBD>ͻ<EFBFBD>Data<EFBFBD><EFBFBD><EFBFBD>ݼ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>\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){
printf("Ԥ<EFBFBD><EFBFBD><EFBFBD><EFBFBD>û<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ģ<EFBFBD>ͣ<EFBFBD>[%s]\r\n", _path);
return 4;
}
}
if(_model -> array == NULL && modelmym_init(_model -> name) == NULL){
printf("<EFBFBD>޷<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ģ<EFBFBD>Ͳ<EFBFBD><EFBFBD><EFBFBD>[%s]<5D><><EFBFBD><EFBFBD><EFBFBD>鵽SDRAM<41><4D>\r\n", _model -> name);
return 200;
}
if(_model -> dname)sprintf(_datapath, "_data/%s", _model -> dname);
sprintf(_path, "./dataset/%s.txt", _model -> dname ? _datapath : _model -> name);
FILE *file = fopen(_path, "r");
if(file == NULL){
printf("<EFBFBD>ļ<EFBFBD>[%s]<5D>޷<EFBFBD><DEB7><EFBFBD><EFBFBD><EFBFBD>\r\n", _model -> dname ? _model -> dname : _model -> name);
return 199;
}
printf("д<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ģ<EFBFBD>Ͳ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ǣ<EFBFBD>%s\r\n", _model -> name);
if(_model -> dname)printf("д<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Data<EFBFBD><EFBFBD><EFBFBD>ݼ<EFBFBD><EFBFBD>ǣ<EFBFBD>%s\r\n", _model -> dname);
printf("д<EFBFBD><EFBFBD>ģ<EFBFBD>Ͳ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>󳤶<EFBFBD>Ϊ<EFBFBD><EFBFBD>%d\r\n", _model -> maxlength);
printf("Ŀǰ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ԫ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ϊ<EFBFBD><EFBFBD>%d", _model -> realength);
printf("\r\n<EFBFBD><EFBFBD><EFBFBD><EFBFBD>д<EFBFBD><EFBFBD>ģ<EFBFBD>Ͳ<EFBFBD><EFBFBD><EFBFBD>'%s'<27><><EFBFBD><EFBFBD><EFBFBD>Ժ<EFBFBD>......\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);
// <20><><EFBFBD><EFBFBD><EFBFBD>Ƿ<EFBFBD>ת<EFBFBD><D7AA><EFBFBD>ɹ<EFBFBD>
if (endptr == _fstr) {
fprintf(stderr, "<EFBFBD><EFBFBD> %d <20>в<EFBFBD><D0B2><EFBFBD><EFBFBD><EFBFBD>Ч<EFBFBD>ĸ<EFBFBD><C4B8><EFBFBD><EFBFBD><EFBFBD>: %s", _larr + 1, _fstr);
continue; // <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ч<EFBFBD><D0A7>
}
_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;
printf("\r\n[");
for(uint16_t j=0; j<50;j++){
if(j < progress/2) printf("=");
else printf(" ");
}
printf("] %d%%", progress);
}
if(_larr >= _model -> maxlength)break;
}
printf("\r\nģ<EFBFBD>Ͳ<EFBFBD><EFBFBD><EFBFBD>[%s]<5D><>д<EFBFBD><EFBFBD>ڴ<EFBFBD><DAB4><EFBFBD>! ģ<>ͳ<EFBFBD><CDB3><EFBFBD>Ϊ %d\r\n",_model -> dname ? _model -> dname : _model -> name,_model -> realength);
return 0;
}
return 1;
}
uint8_t model_read(char* model_name, uint32_t start, uint32_t end, uint32_t 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 (uint32_t 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;
}
uint8_t model_switchdata(char* data_name){
uint8_t _len = strlen(data_name);
char _path[_len+1+7];
if(data.array != NULL)modelmym_free("data");
sprintf(_path, "./dataset/_data/%s.txt", data_name);
FILE *file = fopen(_path, "r");
if(file == NULL){
printf("\r\nData<EFBFBD><EFBFBD><EFBFBD>ݼ<EFBFBD>[%s]<5D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>\r\n",data_name);
return 0;
}else{
uint8_t _res = model_write(data_name);
if (_res) {
printf("Data<EFBFBD><EFBFBD><EFBFBD>ݼ<EFBFBD>[%s]<5D>л<EFBFBD>ʧ<EFBFBD>ܣ<EFBFBD><DCA3><EFBFBD>\r\n",data_name);
return 0;
}
else printf("Data<EFBFBD><EFBFBD><EFBFBD>ݼ<EFBFBD>[%s]<5D>л<EFBFBD><D0BB>ɹ<EFBFBD><C9B9><EFBFBD>\r\n",data_name);
printf("data_name<EFBFBD>ij<EFBFBD><EFBFBD><EFBFBD>Ϊ<EFBFBD><EFBFBD>%d\r\n_path<EFBFBD>ij<EFBFBD><EFBFBD><EFBFBD>Ϊ<EFBFBD><EFBFBD>%d\r\n_pathΪ<EFBFBD><EFBFBD>%s\r\n",_len,sizeof(_path),_path);
return 1;
}
}
uint8_t 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); <20><EFBFBD><E2BAAF><EFBFBD><EFBFBD>BUG<55><47><EFBFBD><EFBFBD>model_dataset<65><74><EFBFBD><EFBFBD>
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;
conv1_weight.channel = 1;
conv1_weight.num_kernels = CONV1_BIAS_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;
conv2_weight.channel = 32;
conv2_weight.num_kernels = CONV2_BIAS_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;
conv3_weight.channel = 64;
conv3_weight.num_kernels = CONV3_BIAS_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;
fc2_weight.num_kernels = FC2_BIAS_ARRSIZE;
data.name = "data";
data.array = modelmym_init(data.name);
data.maxlength = DATA_ARRSIZE;
data.dname = "data";
}