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src/mnist.h
100
src/mnist.h
@ -4,49 +4,24 @@
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#include <iostream>
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#include <fstream>
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#include <vector>
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#include <cassert>
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namespace datasets {
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namespace mnist {
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typedef unsigned char uchar;
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const size_t IMAGE_MAGIC_NUMBER = 2051;
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const size_t LABEL_MAGIC_NUMBER = 2049;
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auto reverseInt = [](int i) {
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unsigned char c1, c2, c3, c4;
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c1 = i & 255, c2 = (i >> 8) & 255, c3 = (i >> 16) & 255, c4 = (i >> 24) & 255;
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return ((int)c1 << 24) + ((int)c2 << 16) + ((int)c3 << 8) + c4;
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};
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std::vector<float> ReadImages(const std::string& full_path, int& number_of_images, int& image_size) {
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std::ifstream file(full_path);
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if (! file.is_open())
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throw std::runtime_error("Cannot open file `" + full_path + "`!");
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int magic_number = 0, n_rows = 0, n_cols = 0;
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file.read((char *)&magic_number, sizeof(magic_number));
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magic_number = reverseInt(magic_number);
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if (magic_number != 2051)
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throw std::runtime_error("Invalid MNIST image file!");
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file.read((char *)&number_of_images, sizeof(number_of_images)), number_of_images = reverseInt(number_of_images);
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file.read((char *)&n_rows, sizeof(n_rows)), n_rows = reverseInt(n_rows);
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file.read((char *)&n_cols, sizeof(n_cols)), n_cols = reverseInt(n_cols);
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image_size = n_rows * n_cols;
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int n = number_of_images * image_size;
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std::vector<float> _dataset(n);
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unsigned char pixel = 0;
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for (int i = 0; i < n; i++) {
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file.read((char*)&pixel, sizeof(pixel));
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_dataset[i] = pixel / 255.0f;
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}
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return _dataset;
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}
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std::vector<float> ReadLabels(const std::string& full_path) {
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std::vector<float> ReadImages(const std::string& full_path, int& number_of_images, int imgSize) {
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std::ifstream file(full_path);
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if (! file.is_open())
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@ -56,17 +31,50 @@ std::vector<float> ReadLabels(const std::string& full_path) {
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file.read((char *)&magic_number, sizeof(magic_number));
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magic_number = reverseInt(magic_number);
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if (magic_number != 2049)
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if (magic_number != IMAGE_MAGIC_NUMBER)
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throw std::runtime_error("Invalid MNIST image file!");
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int n_rows = 0;
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int n_cols = 0;
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file.read((char *)&number_of_images, sizeof(number_of_images)), number_of_images = reverseInt(number_of_images);
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file.read((char *)&n_rows, sizeof(n_rows)), n_rows = reverseInt(n_rows);
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file.read((char *)&n_cols, sizeof(n_cols)), n_cols = reverseInt(n_cols);
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assert(n_rows * n_cols == imgSize);
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int n = number_of_images * imgSize;
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std::vector<float> _dataset(n);
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for (int i = 0; i < n; i++) {
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unsigned char pixel = 0;
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file.read((char*)&pixel, sizeof(pixel));
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_dataset[i] = pixel / 255.0f;
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}
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return _dataset;
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}
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std::vector<float> ReadLabels(const std::string& full_path, int& number_of_labels, int label_size) {
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std::ifstream file(full_path);
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if (! file.is_open())
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throw std::runtime_error("Cannot open file `" + full_path + "`!");
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int magic_number = 0;
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file.read((char *)&magic_number, sizeof(magic_number));
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magic_number = reverseInt(magic_number);
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if (magic_number != LABEL_MAGIC_NUMBER)
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throw std::runtime_error("Invalid MNIST label file!");
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int number_of_labels = 0;
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file.read((char *)&number_of_labels, sizeof(number_of_labels)), number_of_labels = reverseInt(number_of_labels);
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std::vector<float> _dataset(number_of_labels);
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int n = number_of_labels * label_size;
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std::vector<float> _dataset(n, 0.0f);
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for (int i = 0; i < number_of_labels; i++) {
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int label;
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unsigned char label;
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file.read((char*)&label, 1);
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_dataset[i] = label;
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_dataset[(i * 10) + (int)(label)] = 1.0f;
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}
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return _dataset;
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@ -77,19 +85,21 @@ std::vector<float> ReadLabels(const std::string& full_path) {
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//int main(int argc, const char *argv[]) {
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//int numImg, imgSize;
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//auto images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numImg, imgSize);
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//auto labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte");
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//int numImg = 0;
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//auto images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numImg);
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//auto labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte", numImg);
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//std::cout
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//<< "Number of images: " << numImg << std::endl
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//<< "Image size: " << imgSize << std::endl;
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//std::cout << "Number of images: " << numImg << std::endl;
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//for (int i = 0; i < 3; i++) {
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//for (int j = 0; j < imgSize; j++) {
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//std::cout << images[(i * imgSize) + j] << ",";
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//for (int j = 0; j < datasets::mnist::IMAGE_SIZE; j++) {
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//std::cout << images[(i * datasets::mnist::IMAGE_SIZE) + j] << ",";
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//}
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//std::cout << " label=" << (int)labels[i] << std::endl;
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//std::cout << "\nlabels= ";
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//for (int k = 0; k < 10; k++) {
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//std::cout << labels[(i * 10) + k] << ",";
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//}
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//std::cout << std::endl;
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//}
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//return 0;
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//}
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src/test.cu
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src/test.cu
@ -5,32 +5,35 @@
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using namespace std;
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int main(int argc, char** argv) {
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/*auto images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte");*/
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/*auto labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte");*/
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/*std::cerr << images.size() << " " << images[0].size() << std::endl;*/
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/*int numImg = 0;*/
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/*auto images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numImg);*/
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/*auto labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte", numImg);*/
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using namespace marian;
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using namespace keywords;
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const size_t IMAGE_SIZE = 784;
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const size_t LABEL_SIZE = 10;
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Expr x = input(shape={whatevs, 784}, name="X");
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Expr y = input(shape={whatevs, 10}, name="Y");
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Expr x = input(shape={whatevs, IMAGE_SIZE}, name="X");
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Expr y = input(shape={whatevs, LABEL_SIZE}, name="Y");
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Expr w = param(shape={784, 10}, name="W0");
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Expr b = param(shape={1, 10}, name="b0");
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Expr w = param(shape={IMAGE_SIZE, LABEL_SIZE}, name="W0");
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Expr b = param(shape={1, LABEL_SIZE}, name="b0");
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auto scores = dot(x, w) + b;
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auto lr = softmax(scores, axis=1, name="pred");
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auto graph = -mean(sum(y * log(lr), axis=1), axis=0, name="cost");
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cerr << "lr=" << lr.Debug() << endl;
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int numImg, imgSize;
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vector<float> images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numImg, imgSize);
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vector<float> labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte");
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int numofdata;
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vector<float> images = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numofdata, IMAGE_SIZE);
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vector<float> labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte", numofdata, LABEL_SIZE);
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cerr << "images=" << images.size() << " labels=" << labels.size() << endl;
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cerr << "numofdata=" << numofdata << endl;
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Tensor tx({numImg, 784}, 1);
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Tensor ty({numImg, 10}, 1);
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Tensor tx({numofdata, IMAGE_SIZE}, 1);
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Tensor ty({numofdata, LABEL_SIZE}, 1);
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tx.Load(images);
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ty.Load(labels);
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