cwenzi/neuroflow-cpp

1#include <iostream>2#include <exception>3#include "../include/neuroflow/model.hpp"4#include "../include/neuroflow/memory.hpp"5#include "../include/neuroflow/networks.hpp"6 7using namespace neuroflow;8 9void test_ecn() {10    std::cout << "Testing ECN alone..." << std::endl;11    ExecutiveControlNetwork ecn(32, 32, 5, 1);12    Tensor input({2, 32});13    for (size_t i = 0; i < input.numel(); ++i) input.as_fp32()[i] = 0.1f * i;14    15    auto output = ecn.forward(input);16    std::cout << "ECN decision shape: [" << output.decision.shape_[0] << ", " << output.decision.shape_[1] << "]" << std::endl;17    std::cout << "ECN passed!" << std::endl;18}19 20void test_dmn() {21    std::cout << "Testing DMN alone..." << std::endl;22    DefaultModeNetwork dmn(16, 16, 2);23    Tensor input({2, 16});24    for (size_t i = 0; i < input.numel(); ++i) input.as_fp32()[i] = 0.1f * i;25    26    auto output = dmn.forward(input);27    std::cout << "DMN vision shape size: " << output.vision.shape_.size() << std::endl;28    for (size_t i = 0; i < output.vision.shape_.size(); ++i) std::cout << "  dim " << i << ": " << output.vision.shape_[i] << std::endl;29    std::cout << "DMN passed!" << std::endl;30}31 32void test_sn() {33    std::cout << "Testing SN alone..." << std::endl;34    SalienceNetwork sn(32, 16);35    Tensor input({2, 32});36    for (size_t i = 0; i < input.numel(); ++i) input.as_fp32()[i] = 0.1f * i;37    38    auto output = sn.forward(input);39    std::cout << "SN saliency shape: [" << output.saliency.shape_[0] << ", " << output.saliency.shape_[1] << "]" << std::endl;40    std::cout << "SN gates shape: [" << output.gates.shape_[0] << ", " << output.gates.shape_[1] << "]" << std::endl;41    std::cout << "SN passed!" << std::endl;42}43 44void test_memory() {45    std::cout << "Testing Memory alone..." << std::endl;46    MemoryConsolidationModule memory(32, 8, 16);47    Tensor input({2, 32});48    for (size_t i = 0; i < input.numel(); ++i) input.as_fp32()[i] = 0.1f * i;49    50    auto output = memory.forward(input);51    std::cout << "Memory retrieved shape: [" << output.retrieved.shape_[0] << ", " << output.retrieved.shape_[1] << "]" << std::endl;52    std::cout << "Memory passed!" << std::endl;53}54 55int main() {56    try {57        test_ecn();58        test_dmn();59        test_sn();60        test_memory();61        62        std::cout << "\nAll component tests passed!" << std::endl;63    } catch (const std::exception& e) {64        std::cout << "Error: " << e.what() << std::endl;65        return 1;66    }67    return 0;68}69