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fixed begin/end in Tensor class
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73e1d5f96a
commit
cc4e24b3a6
@ -178,12 +178,12 @@ class Tensor {
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return pimpl_->begin();
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}
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auto end() -> decltype( pimpl_->begin() ) {
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return pimpl_->begin();
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auto end() -> decltype( pimpl_->end() ) {
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return pimpl_->end();
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}
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auto end() const -> decltype( pimpl_->begin() ) {
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return pimpl_->begin();
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auto end() const -> decltype( pimpl_->end() ) {
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return pimpl_->end();
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}
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const Shape& shape() const {
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@ -27,9 +27,9 @@ int main(int argc, char** argv) {
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Shape wShape, bShape;
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converter.Load("weights", wData, wShape);
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converter.Load("bias", bData, bShape);
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std::cerr << "Done." << std::endl;
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std::cerr << "Building model...";
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auto x = input(shape={whatevs, IMAGE_SIZE}, name="X");
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auto y = input(shape={whatevs, LABEL_SIZE}, name="Y");
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@ -38,7 +38,6 @@ int main(int argc, char** argv) {
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auto b = param(shape={1, LABEL_SIZE}, name="b0",
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init=[bData](Tensor t) {t.set(bData); });
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std::cerr << "Building model...";
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auto predict = softmax(dot(x, w) + b,
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axis=1, name="pred");
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auto graph = -mean(sum(y * log(predict), axis=1),
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@ -69,11 +68,6 @@ int main(int argc, char** argv) {
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if (resultsv[i + j] > resultsv[i + predicted]) predicted = j;
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}
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acc += (correct == predicted);
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//std::cerr << correct << " | " << predicted << " ( ";
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//for (size_t j = 0; j < LABEL_SIZE; ++j) {
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// std::cerr << resultsv[i+j] << " ";
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//}
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//std::cerr << ")" << std::endl;
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}
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std::cerr << "Accuracy: " << float(acc)/BATCH_SIZE << std::endl;
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