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renamed num of data to BATCH_SIZE

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Marcin Junczys-Dowmunt 2016-09-14 23:39:24 +02:00
parent 3c730f053d
commit 73e1d5f96a
1 changed files with 6 additions and 7 deletions
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13
src/validate_mnist.cu
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@ -12,13 +12,13 @@ int main(int argc, char** argv) {
const size_t IMAGE_SIZE = 784;
const size_t LABEL_SIZE = 10;
int BATCH_SIZE = 10000;
std::cerr << "Loading test set...";
std::vector<float> testImages = datasets::mnist::ReadImages("../examples/mnist/t10k-images-idx3-ubyte", numofdata, IMAGE_SIZE);
std::vector<float> testLabels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte", numofdata, LABEL_SIZE);
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;
const size_t BATCH_SIZE = testLabels.size();
std::cerr << "Loading model params...";
NpzConverter converter("../scripts/test_model/model.npz");
@ -43,19 +43,18 @@ int main(int argc, char** argv) {
axis=1, name="pred");
auto graph = -mean(sum(y * log(predict), axis=1),
axis=0, name="cost");
std::cerr << "Done." << std::endl;
Tensor xt({numofdata, IMAGE_SIZE});
Tensor yt({numofdata, LABEL_SIZE});
Tensor xt({BATCH_SIZE, IMAGE_SIZE});
Tensor yt({BATCH_SIZE, LABEL_SIZE});
x = xt << testImages;
y = yt << testLabels;
graph.forward(BATCH_SIZE);
auto results = predict.val();
graph.backward();
auto results = predict.val();
std::vector<float> resultsv(results.size());
resultsv << results;