// Part of the Concrete Compiler Project, under the BSD3 License with Zama // Exceptions. See // https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt // for license information. /// DO NOT MANUALLY EDIT THIS FILE. /// This file was generated thanks the "parameters optimizer". /// We should include this in our build system, but for moment it is just a cc /// from the optimizer output. #include #include #include #include #include "llvm/Support/raw_ostream.h" #include "concrete-optimizer.hpp" #include "concretelang/Support/V0Parameters.h" #include namespace mlir { namespace concretelang { optimizer::DagSolution getV0Parameter(V0FHEConstraint constraint, optimizer::Config config) { // the norm2 0 is equivalent to a maximum noise_factor of 2.0 // norm2 = 0 ==> 1.0 =< noise_factor < 2.0 // norm2 = k ==> 2^norm2 =< noise_factor < 2.0^norm2 + 1 double noise_factor = std::exp2(constraint.norm2 + 1); auto solution = concrete_optimizer::v0::optimize_bootstrap( constraint.p, config.security, noise_factor, config.p_error); return concrete_optimizer::utils::convert_to_dag_solution(solution); } optimizer::DagSolution getV1Parameter(optimizer::Dag &dag, optimizer::Config config) { return dag->optimize(config.security, config.p_error, config.fallback_log_norm_woppbs); } static void display(V0FHEConstraint constraint, optimizer::Config optimizerConfig, optimizer::DagSolution sol, std::chrono::milliseconds duration) { if (!optimizerConfig.display && !mlir::concretelang::isVerbose()) { return; } auto o = llvm::outs; o() << "--- Circuit\n" << " " << constraint.p << " bits integers\n" << " " << constraint.norm2 << " manp (maxi log2 norm2)\n" << " " << duration.count() << "ms to solve\n" << "--- Optimizer config\n" << " " << optimizerConfig.p_error << " error per pbs call\n" << "--- Complexity for each Pbs call\n" << " " << (long)sol.complexity / (1000 * 1000) << " Millions Operations\n" << "--- Correctness for each Pbs call\n" << " 1/" << int(1.0 / sol.p_error) << " errors (" << sol.p_error << ")\n" << "--- Parameters resolution\n" << " " << sol.glwe_dimension << "x glwe_dimension\n" << " 2**" << (size_t)std::log2l(sol.glwe_polynomial_size) << " polynomial (" << sol.glwe_polynomial_size << ")\n" << " " << sol.internal_ks_output_lwe_dimension << " lwe dimension \n" << " keyswitch l,b=" << sol.ks_decomposition_level_count << "," << sol.ks_decomposition_base_log << "\n" << " blindrota l,b=" << sol.br_decomposition_level_count << "," << sol.br_decomposition_base_log << "\n" << " wopPbs : " << (sol.use_wop_pbs ? "true" : "false") << "\n"; if (sol.use_wop_pbs) { o() << " |cb_decomp l,b=" << sol.cb_decomposition_level_count << "," << sol.cb_decomposition_base_log << "\n"; } o() << "---\n"; } llvm::Optional getParameter(optimizer::Description &descr, optimizer::Config config) { namespace chrono = std::chrono; auto start = chrono::high_resolution_clock::now(); auto sol = (!descr.dag || config.strategy_v0) ? getV0Parameter(descr.constraint, config) : getV1Parameter(descr.dag.getValue(), config); auto stop = chrono::high_resolution_clock::now(); auto duration = chrono::duration_cast(stop - start); auto duration_s = chrono::duration_cast(duration); if (duration_s.count() > 3) { llvm::errs() << "concrete-optimizer time: " << duration_s.count() << "s\n"; } display(descr.constraint, config, sol, duration); if (sol.p_error == 1.0) { // The optimizer return a p_error = 1 if there is no solution return llvm::None; } if (sol.use_wop_pbs) { llvm::errs() << "WARNING: a woppbs solution exists but woppbs is not available\n"; return llvm::None; } return mlir::concretelang::V0Parameter{ sol.glwe_dimension, (size_t)std::log2l(sol.glwe_polynomial_size), sol.internal_ks_output_lwe_dimension, sol.br_decomposition_level_count, sol.br_decomposition_base_log, sol.ks_decomposition_level_count, sol.ks_decomposition_base_log, }; } } // namespace concretelang } // namespace mlir