// // HiddenLayer.cpp // // Created by Marc Melikyan on 11/4/20. // #include "hidden_layer_old.h" #include "../activation/activation.h" #include "../lin_alg/lin_alg_old.h" #include #include MLPPOldHiddenLayer::MLPPOldHiddenLayer(int p_n_hidden, std::string p_activation, std::vector> p_input, std::string p_weightInit, std::string p_reg, real_t p_lambda, real_t p_alpha) { n_hidden = p_n_hidden; activation = p_activation; input = p_input; weightInit = p_weightInit; reg = p_reg; lambda = p_lambda; alpha = p_alpha; weights = MLPPUtilities::weightInitialization(input[0].size(), n_hidden, weightInit); bias = MLPPUtilities::biasInitialization(n_hidden); activation_map["Linear"] = &MLPPActivationOld::linear; activationTest_map["Linear"] = &MLPPActivationOld::linear; activation_map["Sigmoid"] = &MLPPActivationOld::sigmoid; activationTest_map["Sigmoid"] = &MLPPActivationOld::sigmoid; activation_map["Swish"] = &MLPPActivationOld::swish; activationTest_map["Swish"] = &MLPPActivationOld::swish; activation_map["Mish"] = &MLPPActivationOld::mish; activationTest_map["Mish"] = &MLPPActivationOld::mish; activation_map["SinC"] = &MLPPActivationOld::sinc; activationTest_map["SinC"] = &MLPPActivationOld::sinc; activation_map["Softplus"] = &MLPPActivationOld::softplus; activationTest_map["Softplus"] = &MLPPActivationOld::softplus; activation_map["Softsign"] = &MLPPActivationOld::softsign; activationTest_map["Softsign"] = &MLPPActivationOld::softsign; activation_map["CLogLog"] = &MLPPActivationOld::cloglog; activationTest_map["CLogLog"] = &MLPPActivationOld::cloglog; activation_map["Logit"] = &MLPPActivationOld::logit; activationTest_map["Logit"] = &MLPPActivationOld::logit; activation_map["GaussianCDF"] = &MLPPActivationOld::gaussianCDF; activationTest_map["GaussianCDF"] = &MLPPActivationOld::gaussianCDF; activation_map["RELU"] = &MLPPActivationOld::RELU; activationTest_map["RELU"] = &MLPPActivationOld::RELU; activation_map["GELU"] = &MLPPActivationOld::GELU; activationTest_map["GELU"] = &MLPPActivationOld::GELU; activation_map["Sign"] = &MLPPActivationOld::sign; activationTest_map["Sign"] = &MLPPActivationOld::sign; activation_map["UnitStep"] = &MLPPActivationOld::unitStep; activationTest_map["UnitStep"] = &MLPPActivationOld::unitStep; activation_map["Sinh"] = &MLPPActivationOld::sinh; activationTest_map["Sinh"] = &MLPPActivationOld::sinh; activation_map["Cosh"] = &MLPPActivationOld::cosh; activationTest_map["Cosh"] = &MLPPActivationOld::cosh; activation_map["Tanh"] = &MLPPActivationOld::tanh; activationTest_map["Tanh"] = &MLPPActivationOld::tanh; activation_map["Csch"] = &MLPPActivationOld::csch; activationTest_map["Csch"] = &MLPPActivationOld::csch; activation_map["Sech"] = &MLPPActivationOld::sech; activationTest_map["Sech"] = &MLPPActivationOld::sech; activation_map["Coth"] = &MLPPActivationOld::coth; activationTest_map["Coth"] = &MLPPActivationOld::coth; activation_map["Arsinh"] = &MLPPActivationOld::arsinh; activationTest_map["Arsinh"] = &MLPPActivationOld::arsinh; activation_map["Arcosh"] = &MLPPActivationOld::arcosh; activationTest_map["Arcosh"] = &MLPPActivationOld::arcosh; activation_map["Artanh"] = &MLPPActivationOld::artanh; activationTest_map["Artanh"] = &MLPPActivationOld::artanh; activation_map["Arcsch"] = &MLPPActivationOld::arcsch; activationTest_map["Arcsch"] = &MLPPActivationOld::arcsch; activation_map["Arsech"] = &MLPPActivationOld::arsech; activationTest_map["Arsech"] = &MLPPActivationOld::arsech; activation_map["Arcoth"] = &MLPPActivationOld::arcoth; activationTest_map["Arcoth"] = &MLPPActivationOld::arcoth; } void MLPPOldHiddenLayer::forwardPass() { MLPPLinAlgOld alg; MLPPActivationOld avn; z = alg.mat_vec_add(alg.matmult(input, weights), bias); a = (avn.*activation_map[activation])(z, false); } void MLPPOldHiddenLayer::Test(std::vector x) { MLPPLinAlgOld alg; MLPPActivationOld avn; z_test = alg.addition(alg.mat_vec_mult(alg.transpose(weights), x), bias); a_test = (avn.*activationTest_map[activation])(z_test, false); }