move cuda device into graph

This commit is contained in:
Hieu Hoang 2016-09-16 14:16:09 +02:00
parent 517fb6c385
commit 7c63606b75

View File

@ -10,7 +10,7 @@ const size_t IMAGE_SIZE = 784;
const size_t LABEL_SIZE = 10;
int BATCH_SIZE = 10000;
ExpressionGraph build_graph() {
ExpressionGraph build_graph(int cudaDevice) {
std::cerr << "Loading model params...";
NpzConverter converter("../scripts/test_model_single/model.npz");
@ -22,7 +22,7 @@ ExpressionGraph build_graph() {
std::cerr << "Building model...";
ExpressionGraph g(0);
ExpressionGraph g(cudaDevice);
auto x = named(g.input(shape={whatevs, IMAGE_SIZE}), "x");
auto y = named(g.input(shape={whatevs, LABEL_SIZE}), "y");
@ -47,14 +47,12 @@ ExpressionGraph build_graph() {
int main(int argc, char** argv) {
cudaSetDevice(0);
std::cerr << "Loading test set...";
std::vector<float> testImages = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", BATCH_SIZE, IMAGE_SIZE);
std::vector<float> testLabels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte", BATCH_SIZE, LABEL_SIZE);
std::cerr << "Done." << std::endl;
ExpressionGraph g = build_graph();
ExpressionGraph g = build_graph(0);
Tensor xt({BATCH_SIZE, IMAGE_SIZE});
Tensor yt({BATCH_SIZE, LABEL_SIZE});