void copyResultToBuffer(uint8_t* to, uint32_t start, uint32_t size){
unsigned int datReg=FLASH_DATA;
unsigned int data=0;
unsigned int dataByte;
for(uint8_t i=0;i<size;i++){
if(i%4==0) {
data=changeEndian(_lr(datReg));
datReg++;
}
dataByte=WRITE_TO_BUFFER_MASK & data;
dataByte=dataByte>>24;
to[start+i]|=(uint8_t)dataByte;
data=data<<8;
}
}
void MNISTDataset::loadData(const char *trainingDataFile, const char *trainingLabelFile){
int magicNum, numImage, numRow, numCol;
uint8_t pixel, label;
FILE *traingDataFd = fopen(trainingDataFile, "rb");
//读入样本数据，50000个做training，10000个做validate
printf("loading training data...\n");
fread(&magicNum, sizeof(int), 1, traingDataFd);
magicNum = changeEndian(magicNum);
printf("magic number : %d\n", magicNum);
fread(&numImage, sizeof(int), 1, traingDataFd);
numImage = changeEndian(numImage);
printf("number of images : %d\n", numImage);
fread(&numRow, sizeof(int), 1, traingDataFd);
numRow = changeEndian(numRow);
printf("number of rows: %d\n", numRow);
fread(&numCol, sizeof(int), 1, traingDataFd);
numCol = changeEndian(numCol);
printf("number of columns : %d\n", numCol);
numFeature = numRow * numCol;
numTrain = 50000;
numValid = 10000;
trainingData = new double[numTrain*numFeature];
validateData = new double[numValid*numFeature];
for(int i = 0; i < numTrain; i++)
for(int j = 0; j < numFeature; j++){
fread(&pixel, sizeof(uint8_t), 1, traingDataFd);
trainingData[numFeature*i+j] = pixel / 255.0; //除以255.0进行归一化
}
for(int i = 0; i < numValid; i++)
for(int j = 0; j < numFeature; j++){
fread(&pixel, sizeof(uint8_t), 1, traingDataFd);
validateData[numFeature*i+j] = pixel / 255.0;
}
fclose(traingDataFd);
printf("loading training label...\n");
FILE *traingLabelFd = fopen(trainingLabelFile, "rb");
fread(&magicNum, sizeof(int), 1, traingLabelFd);
magicNum = changeEndian(magicNum);
printf("magic number : %d\n", magicNum);
fread(&numImage, sizeof(int), 1, traingLabelFd);
numImage = changeEndian(numImage);
printf("number of images : %d\n", numImage);
numLabel = 10;
trainingLabel = new double[numTrain*numLabel];
validateLabel = new double[numValid*numLabel];
memset(trainingLabel, 0, numTrain*numLabel*sizeof(double));
memset(validateLabel, 0, numValid*numLabel*sizeof(double));
for(int i = 0; i < numTrain; i++){
fread(&label, sizeof(uint8_t), 1, traingLabelFd);
trainingLabel[i*numLabel+label] = 1.0;
}
for(int i = 0; i < numValid; i++){
fread(&label, sizeof(uint8_t), 1, traingLabelFd);
validateLabel[i*numLabel+label] = 1.0;
}
fclose(traingLabelFd);
printf("loading ok...\n");
}
