仿火幣/幣安/歐易okex交易所開發(fā)詳情,火幣/幣安/歐易okex交易所系統(tǒng)開發(fā)(開發(fā)方案)
The digital currency exchange system,based on blockchain technology,fully supports a series of management systems such as digital currency wallet,transaction and management.We have improved the digital currency trading mechanism.From the aspects of enhancing the security protection level,financial trading system,
platform operation management mechanism,and so on,Aida Big Data continues to optimize the core functions and improve the comprehensive advantages of the products.The system also adopts a distributed system architecture,which can support million-level concurrency based on hardware expansion.
class TensorStatistic{
public:
TensorStatistic(const MNN::Tensor*tensor,std::string method,const std::string&name,float featureClampValue,int binNumber=2048,GET_THRESHOLD_METHOD thresholdMethod=THRESHOLD_KL);
~TensorStatistic(){
//Do nothing
}
void resetUpdatedDistributionFlag(){
mUpdatedDistributionFlag=false;
}
void resetUpdatedRangeFlags(){
mUpdatedRangeFlags=false;
}開發(fā)模式I35案例7O98開發(fā)O7I8
void updateRange();
void resetDistribution();
void updateDistribution();
void setThresholdMethod(GET_THRESHOLD_METHOD thresholdMethod);
void setChannelWise(bool mergeChannel);
std::vector<float>finishAndCompute();
//only this one for ADMM
std::vector<float>computeScaleADMM();
std::string name(){
return mName;
}應(yīng)用方案及詳細:MrsFu123
bool visited(){
return mVisited;
}
void setVisited(bool visited){
mVisited=visited;
}
std::pair<std::vector<float>,float>fakeQuantFeature();
float computeDistance(std::vector<float>fakeQuantedFeature);
private:
int _computeThreshold(const std::vector<float>&distribution);
std::vector<std::pair<float,float>>mRangePerChannel;
std::vector<float>mIntervals;
std::vector<bool>mValidChannel;
std::vector<std::vector<float>>mDistribution;
std::shared_ptr<MNN::Tensor>mHostTensor;
const MNN::Tensor*mOriginTensor;
int mBinNumber;
bool mUpdatedDistributionFlag=false;
bool mUpdatedRangeFlags=false;
bool mMergeChannel=true;
std::string mName;
GET_THRESHOLD_METHOD mThresholdMethod=THRESHOLD_KL;
bool mVisited=false;
std::vector<float>mScales;
float mFeatureClampValue=127.0f;
};