Files
FCES-native/python/setup.py
AI-anonymous 9bbe253810 feat: scaffold FCES-native C++ project with libtorch integration
- 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
2026-05-19 16:05:15 +02:00

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Python

from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CppExtension
setup(
name="fces_native",
version="0.1.0",
description="High-performance C++ FCES optimizer (Python bindings)",
ext_modules=[
CppExtension(
name="fces_native",
sources=[
"fces_native.cpp",
"../src/config.cpp",
"../src/controller.cpp",
"../src/population.cpp",
"../src/fitness.cpp",
"../src/evolution.cpp",
"../src/spectral.cpp",
"../src/oscillation.cpp",
"../src/optimizer.cpp",
"../src/telemetry.cpp",
],
include_dirs=["../include"],
),
],
cmdclass={"build_ext": BuildExtension},
)