PHP Code:
I read your interesting article:http://www.cprogramming.com/c++11/rvalue-references-and-move-semantics-in-c++11.htmland tried to follow the contained suggestionsBut after many trials I still do not understand how to properly take advantage of the move semantics in order to not copy the result of the operation and just use the pointer, or std::move, to "exchange" the data pointed to. This will be very usefull to speed-up more complicated functions like f(g(),h(i(l,m),n(),p(q()))
Executing the below code the result is:
Code:
t3={2,4,6} and t1={1,2,3}
PHP Code:
while the goal is to have:
Code:
t3={2,4,6} and t1={}
Code:
typedef std::vector<double> Tensor1DType;
class Tensor1D {
private:
//std::shared_ptr<Tensor1DType> data = std::make_shared<Tensor1DType>();
Tensor1DType * data = new Tensor1DType;
public:
Tensor1D() {
};
Tensor1D(const Tensor1D& other) {
for(int i=0;i<other.data->size();i++) {
data->push_back(other.data->at(i));
}
}
Tensor1D(Tensor1D&& other) : data(std::move(other.data)) {
other.data = nullptr;
}
~Tensor1D() {
delete data;
};
int size() {
return data->size();
};
void insert(double value) {
data->push_back(value);
}
void insert(const std::initializer_list<double>& valuesList) {
for(auto value : valuesList) {
data->push_back(value);
}
}
double operator() (int i) {
if(i>data->size()) {
std::cout << "index must be within vector dimension" << std::endl;
exit(1);
}
return data->at(i);
}
Tensor1D& operator=(Tensor1D&& other) {
if (this == &other){
return *this;
}
data = other.data;
other.data = nullptr;
return *this;
}
void printTensor(Tensor1DType info) {
for(int i=0;i<info.size();i++) {
std::cout << info.at(i) << "," << std::endl;
}
}
void printTensor() {
for(int i=0;i<data->size();i++) {
std::cout << data->at(i) << "," << std::endl;
}
}
};
} // end of namespace MTensor
MTensor::Tensor1D scalarProduct1D(MTensor::Tensor1D t1, double scalar) {
MTensor::Tensor1D tensor;
for(int i=0;i<t1.size();++i) {
tensor.insert(t1(i) * scalar);
}
//return std::move(tensor);
return tensor;
}
int main() {
MTensor::Tensor1D t1;
t1.insert({1,2,3});
std::cout << "t1:" << std::endl;
t1.printTensor();
MTensor::Tensor1D t3(scalarProduct1D(t1,2));
std::cout << "t3:" << std::endl;
t3.printTensor();
std::cout << "t1:" << std::endl;
t1.printTensor();
return 0;
}