#pragma once

#include "./ActivationFunction.h"

#include <cassert>

namespace NeuralNetwork {
namespace ActivationFunction {

	class RectifiedLinear: public ActivationFunction {
		public:
			RectifiedLinear(const float &lambdaP=0.1): lambda(lambdaP) {}

			inline virtual float derivatedOutput(const float &inp,const float &) const override {
				return inp > 0.0f ? lambda : 0.0f;
			}

			inline virtual float operator()(const float &x) const override {
				return std::max(0.0f,x);
			};

			virtual ActivationFunction* clone() const override {
				return new RectifiedLinear(lambda);
			}

			virtual SimpleJSON::Type::Object serialize() const override {
				return {{"class", "NeuralNetwork::ActivationFunction::RectifiedLinear"}, {"lambda", lambda}};
			}

			static std::unique_ptr<RectifiedLinear> deserialize(const SimpleJSON::Type::Object &obj) {
				return std::unique_ptr<RectifiedLinear>(new RectifiedLinear(obj["lambda"].as<double>()));
			}

		protected:
			float lambda;
			NEURAL_NETWORK_REGISTER_ACTIVATION_FUNCTION(NeuralNetwork::ActivationFunction::RectifiedLinear, RectifiedLinear::deserialize)
	};
}
}