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debug
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@ -153,7 +153,11 @@ class TensorImpl {
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}
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void set(const std::vector<Float> &values) {
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thrust::copy(values.begin(), values.end(), data_.begin());
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size_t totSize = std::accumulate(shape().begin(), shape().end(),
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1, std::multiplies<int>());
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std::cerr << "totSize=" << totSize << " " << values.size() << std::endl;
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assert(totSize == values.size());
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thrust::copy(values.begin(), values.end(), data_.begin());
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}
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std::string Debug() const
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@ -12,7 +12,7 @@ int main(int argc, char** argv) {
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using namespace marian;
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using namespace keywords;
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/*
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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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@ -31,6 +31,8 @@ int main(int argc, char** argv) {
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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<int> labels = datasets::mnist::ReadLabels("../examples/mnist/t10k-labels-idx1-ubyte");
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tx.Load(images);
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//ty.Load(labels);
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cerr << "tx=" << tx.Debug() << endl;
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cerr << "ty=" << ty.Debug() << endl;
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@ -59,9 +61,10 @@ int main(int argc, char** argv) {
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graph.backward();
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//std::cerr << graph["pred"].val()[0] << std::endl;
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*/
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// XOR
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/*
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Expr x = input(shape={whatevs, 2}, name="X");
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Expr y = input(shape={whatevs, 2}, name="Y");
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@ -82,7 +85,7 @@ int main(int argc, char** argv) {
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tx.Load("../examples/xor/train.txt");
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ty.Load("../examples/xor/label.txt");
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*/
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#if 0
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hook0(graph);
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