// // OutputLayer.cpp // // Created by Marc Melikyan on 11/4/20. // #include "output_layer.h" #include "../lin_alg/lin_alg.h" #include "../utilities/utilities.h" #include #include namespace MLPP { OutputLayer::OutputLayer(int n_hidden, std::string activation, std::string cost, std::vector> input, std::string weightInit, std::string reg, double lambda, double alpha) : n_hidden(n_hidden), activation(activation), cost(cost), input(input), weightInit(weightInit), reg(reg), lambda(lambda), alpha(alpha) { weights = Utilities::weightInitialization(n_hidden, weightInit); bias = Utilities::biasInitialization(); activation_map["Linear"] = &Activation::linear; activationTest_map["Linear"] = &Activation::linear; activation_map["Sigmoid"] = &Activation::sigmoid; activationTest_map["Sigmoid"] = &Activation::sigmoid; activation_map["Swish"] = &Activation::swish; activationTest_map["Swish"] = &Activation::swish; activation_map["Mish"] = &Activation::mish; activationTest_map["Mish"] = &Activation::mish; activation_map["SinC"] = &Activation::sinc; activationTest_map["SinC"] = &Activation::sinc; activation_map["Softplus"] = &Activation::softplus; activationTest_map["Softplus"] = &Activation::softplus; activation_map["Softsign"] = &Activation::softsign; activationTest_map["Softsign"] = &Activation::softsign; activation_map["CLogLog"] = &Activation::cloglog; activationTest_map["CLogLog"] = &Activation::cloglog; activation_map["Logit"] = &Activation::logit; activationTest_map["Logit"] = &Activation::logit; activation_map["GaussianCDF"] = &Activation::gaussianCDF; activationTest_map["GaussianCDF"] = &Activation::gaussianCDF; activation_map["RELU"] = &Activation::RELU; activationTest_map["RELU"] = &Activation::RELU; activation_map["GELU"] = &Activation::GELU; activationTest_map["GELU"] = &Activation::GELU; activation_map["Sign"] = &Activation::sign; activationTest_map["Sign"] = &Activation::sign; activation_map["UnitStep"] = &Activation::unitStep; activationTest_map["UnitStep"] = &Activation::unitStep; activation_map["Sinh"] = &Activation::sinh; activationTest_map["Sinh"] = &Activation::sinh; activation_map["Cosh"] = &Activation::cosh; activationTest_map["Cosh"] = &Activation::cosh; activation_map["Tanh"] = &Activation::tanh; activationTest_map["Tanh"] = &Activation::tanh; activation_map["Csch"] = &Activation::csch; activationTest_map["Csch"] = &Activation::csch; activation_map["Sech"] = &Activation::sech; activationTest_map["Sech"] = &Activation::sech; activation_map["Coth"] = &Activation::coth; activationTest_map["Coth"] = &Activation::coth; activation_map["Arsinh"] = &Activation::arsinh; activationTest_map["Arsinh"] = &Activation::arsinh; activation_map["Arcosh"] = &Activation::arcosh; activationTest_map["Arcosh"] = &Activation::arcosh; activation_map["Artanh"] = &Activation::artanh; activationTest_map["Artanh"] = &Activation::artanh; activation_map["Arcsch"] = &Activation::arcsch; activationTest_map["Arcsch"] = &Activation::arcsch; activation_map["Arsech"] = &Activation::arsech; activationTest_map["Arsech"] = &Activation::arsech; activation_map["Arcoth"] = &Activation::arcoth; activationTest_map["Arcoth"] = &Activation::arcoth; costDeriv_map["MSE"] = &Cost::MSEDeriv; cost_map["MSE"] = &Cost::MSE; costDeriv_map["RMSE"] = &Cost::RMSEDeriv; cost_map["RMSE"] = &Cost::RMSE; costDeriv_map["MAE"] = &Cost::MAEDeriv; cost_map["MAE"] = &Cost::MAE; costDeriv_map["MBE"] = &Cost::MBEDeriv; cost_map["MBE"] = &Cost::MBE; costDeriv_map["LogLoss"] = &Cost::LogLossDeriv; cost_map["LogLoss"] = &Cost::LogLoss; costDeriv_map["CrossEntropy"] = &Cost::CrossEntropyDeriv; cost_map["CrossEntropy"] = &Cost::CrossEntropy; costDeriv_map["HingeLoss"] = &Cost::HingeLossDeriv; cost_map["HingeLoss"] = &Cost::HingeLoss; costDeriv_map["WassersteinLoss"] = &Cost::HingeLossDeriv; cost_map["WassersteinLoss"] = &Cost::HingeLoss; } void OutputLayer::forwardPass(){ LinAlg alg; Activation avn; z = alg.scalarAdd(bias, alg.mat_vec_mult(input, weights)); a = (avn.*activation_map[activation])(z, 0); } void OutputLayer::Test(std::vector x){ LinAlg alg; Activation avn; z_test = alg.dot(weights, x) + bias; a_test = (avn.*activationTest_map[activation])(z_test, 0); } }