max/naaice_tug_input
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chore: Move content from source to header

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This commit is contained in:
Max Lübke 2024-08-30 10:13:33 +00:00
parent fac2c07a3e
commit 42b6ed40fe
2 changed files with 22 additions and 21 deletions
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22
src/run.cpp
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@ -15,26 +15,6 @@
#include <Eigen/Eigen> #include <Eigen/Eigen>
using TugType = double;
using RowMajorMat =
Eigen::Matrix<TugType, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>;
static inline std::vector<TugType>
eigenMatrix_to_vector(const Eigen::MatrixX<TugType> &mat) {
if (mat.IsRowMajor) {
return std::vector<TugType>(mat.data(), mat.data() + mat.size());
} else {
std::vector<TugType> out_vec(mat.size());
for (int i = 0; i < mat.rows(); i++) {
for (int j = 0; j < mat.cols(); j++) {
out_vec[i * mat.cols() + j] = mat(i, j);
}
}
return out_vec;
}
}
double run_bench(const bench_input &input, const std::string &output_file) { double run_bench(const bench_input &input, const std::string &output_file) {
std::vector<std::vector<double>> raw_data = std::vector<std::vector<double>> raw_data =
read_conc_csv<double>(input.csv_file_init, input.ncols, input.nrows); read_conc_csv<double>(input.csv_file_init, input.ncols, input.nrows);
@ -89,7 +69,7 @@ double run_bench(const bench_input &input, const std::string &output_file) {
int ompNumThreads = std::stoi(out, NULL); int ompNumThreads = std::stoi(out, NULL);
sim.setNumberThreads(ompNumThreads); sim.setNumberThreads(ompNumThreads);
} }
sim.setTimestep(input.timestep); sim.setTimestep(input.timestep);
sim.setIterations(input.iterations); sim.setIterations(input.iterations);

21
src/run.hpp
View File

@ -1,8 +1,29 @@
#ifndef _RUN_HPP #ifndef _RUN_HPP
#define _RUN_HPP #define _RUN_HPP
#include <Eigen/Eigen>
#include <bench_defs.hpp> #include <bench_defs.hpp>
using TugType = double;
using RowMajorMat =
Eigen::Matrix<TugType, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>;
double run_bench(const bench_input &input, const std::string &output_file = ""); double run_bench(const bench_input &input, const std::string &output_file = "");
static inline std::vector<TugType>
eigenMatrix_to_vector(const Eigen::MatrixX<TugType> &mat) {
if (mat.IsRowMajor) {
return std::vector<TugType>(mat.data(), mat.data() + mat.size());
} else {
std::vector<TugType> out_vec(mat.size());
for (int i = 0; i < mat.rows(); i++) {
for (int j = 0; j < mat.cols(); j++) {
out_vec[i * mat.cols() + j] = mat(i, j);
}
}
return out_vec;
}
}
#endif // _RUN_HPP #endif // _RUN_HPP