9bbe253810
- CMakeLists.txt with libtorch, GoogleTest, GoogleBenchmark, OpenMP, pybind11 - Header files: config, controller, population, fitness, evolution, spectral, oscillation, telemetry, optimizer - Source implementations: controller (full micro-MLP forward pass, mutation, crossover), fitness (Welford's algorithm), oscillation (DFT), spectral (SVD rank), optimizer (sign-SGD stub) - Tests: controller, population, fitness, optimizer (Google Test) - Benchmarks: evolve throughput, optimizer step (Google Benchmark) - Examples: simple optimization, PyTorch/libtorch integration - Python extension: pybind11 bindings with setup.py - README with architecture diagram and build instructions
30 lines
640 B
C++
30 lines
640 B
C++
#pragma once
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/**
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* @file oscillation.hpp
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* @brief FFT-based oscillation detection (Phase 25).
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*/
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#include <vector>
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namespace fces {
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class OscillationDetector {
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public:
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static constexpr int WINDOW_SIZE = 64;
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static constexpr float POWER_THRESHOLD = 0.5f;
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void update(float loss);
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bool detect() const;
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float get_score() const;
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float get_variance_50() const;
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void reset();
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private:
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std::vector<float> loss_history_;
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static std::vector<float> detrend(const std::vector<float>& signal);
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static std::vector<float> compute_power_spectrum(const std::vector<float>& signal);
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};
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} // namespace fces
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