class_QPanda_Variational_Optimizer.rst

pair: class; QPanda::Variational::Optimizer

class QPanda::Variational::Optimizer

Optimizer <doxid-class_q_panda_1_1_variational_1_1_optimizer> base class.

cpp

#include <Optimizer.h>

class Optimizer { public: // construction

Optimizer<doxid-class_q_panda_1_1_variational_1_1_optimizer_1addd794b0bb91a5330735dc9e44366f51>(

var<doxid-class_q_panda_1_1_variational_1_1var> lost_function, double learning_rate = 0.01 );

// 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;

};

// direct descendants

class AdaGradOptimizer<doxid-class_q_panda_1_1_variational_1_1_ada_grad_optimizer>; class AdamOptimizer<doxid-class_q_panda_1_1_variational_1_1_adam_optimizer>; class MomentumOptimizer<doxid-class_q_panda_1_1_variational_1_1_momentum_optimizer>; class RMSPropOptimizer<doxid-class_q_panda_1_1_variational_1_1_r_m_s_prop_optimizer>; class VanillaGradientDescentOptimizer<doxid-class_q_panda_1_1_variational_1_1_vanilla_gradient_descent_optimizer>;