n_exponential.cc

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/* FEAT
copyright 2017 William La Cava
license: GNU/GPL v3
*/
 
#include "n_exponential.h"
    
namespace FT{
 
    namespace Pop{
        namespace Op{
            NodeExponential::NodeExponential(vector<float> W0)
            {
                name = "exp";
                otype = 'f';
                arity['f'] = 1;
                arity['b'] = 0;
                complexity = 4;
 
                if (W0.empty())
                {
                    for (int i = 0; i < arity['f']; i++) {
                        W.push_back(r.rnd_dbl());
                    }
                }
                else
                    W = W0;
            }
 
            #ifndef USE_CUDA
            void NodeExponential::evaluate(const Data& data, State& state)
            {
                state.push<float>(limited(exp(this->W[0] * state.pop<float>())));
            }
            #else
            void NodeExponential::evaluate(const Data& data, State& state)
            {
                GPU_Exp(state.dev_f, state.idx[otype], state.N, W[0]);
            }
            #endif
 
            void NodeExponential::eval_eqn(State& state)
            {
                state.push<float>("exp(" + to_string(W[0], 4) + "*"+ state.popStr<float>() + ")");
            }
 
            ArrayXf NodeExponential::getDerivative(Trace& state, int loc)
            {
                ArrayXf& x = state.get<float>()[state.size<float>()-1];
                
                switch (loc) {
                    case 1: // d/dw0
                        return x * limited(exp(this->W[0] * x));
                    case 0: // d/dx0
                    default:
                       return this->W[0] * limited(exp(W[0] * x));
                } 
            }
            
            NodeExponential* NodeExponential::clone_impl() const { return new NodeExponential(*this); }
              
            NodeExponential* NodeExponential::rnd_clone_impl() const { return new NodeExponential(); }  
        }
    }
}