class_QPanda_Variational_RMSPropOptimizer.rst

pair: class; QPanda::Variational::RMSPropOptimizer

class QPanda::Variational::RMSPropOptimizer

cpp

#include <Optimizer.h>

class RMSPropOptimizer: public QPanda::Variational::Optimizer<doxid-class_q_panda_1_1_variational_1_1_optimizer> { public: // construction

RMSPropOptimizer<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer_1a500582d52289e8b1743acbd3cd1be3eb>(

var<doxid-class_q_panda_1_1_variational_1_1var> lost, double learning_rate = 0.001, double decay = 0.9, double epsilon = 1e-10 );

// methods

virtual std::unordered_map<var<doxid-class_q_panda_1_1_variational_1_1var>, MatrixXd> compute_gradients<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer_1a580132a3b6c6aae115120e09e601122f>(std::unordered_set<var<doxid-class_q_panda_1_1_variational_1_1var>>& var_set); virtual std::unordered_set<var<doxid-class_q_panda_1_1_variational_1_1var>> get_variables<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer_1a835f7b17051f6bc25c79dfc4e8074c1c>(); virtual double get_loss<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer_1a13ad0a7cec4bc91f478bb4823bf253eb>();

virtual bool run<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer_1a66e7c99dda78075d4faaafd257b88661>(

std::unordered_set<var<doxid-class_q_panda_1_1_variational_1_1var>>& leaves, size_t t = 0 );

static std::shared_ptr<Optimizer<doxid-class_q_panda_1_1_variational_1_1_optimizer>> minimize<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer_1af05a742af27fb846b905d3fb88d64ebd>(

var<doxid-class_q_panda_1_1_variational_1_1var>& lost, double learning_rate = 0.001, double decay = 0.9, double epsilon = 1e-10 );

};

Inherited Members

cpp

public:

// methods

virtual std::unordered_set<var<doxid-class_q_panda_1_1_variational_1_1var>> get_variables<doxid-class_q_panda_1_1_variational_1_1_optimizer_1a2a86c7101b183404f8507119954b8142>() = 0; virtual std::unordered_map<var<doxid-class_q_panda_1_1_variational_1_1var>, MatrixXd> compute_gradients<doxid-class_q_panda_1_1_variational_1_1_optimizer_1a956b08145e8efa6beb20eb6d6c062c07>(std::unordered_set<var<doxid-class_q_panda_1_1_variational_1_1var>>& var_set) = 0; virtual double get_loss<doxid-class_q_panda_1_1_variational_1_1_optimizer_1a6717bbf6bfeda77780e08cd8cfef64a8>() = 0; virtual bool run<doxid-class_q_panda_1_1_variational_1_1_optimizer_1aa697607b501c4106c53c3fe9d0a8c3dc>(std::unordered_set<var<doxid-class_q_panda_1_1_variational_1_1var>>& leaves, size_t t = 0) = 0;