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author | redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-06-22 05:12:27 +0000 |
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committer | redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f> | 2010-06-22 05:12:27 +0000 |
commit | 7cc92b65a3185aa242088d830e166e495674efc9 (patch) | |
tree | 681fe5237612a4e96ce36fb9fabef00042c8ee61 /training/optimize_test.cc | |
parent | 37728b8be4d0b3df9da81fdda2198ff55b4b2d91 (diff) |
initial checkin
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@2 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'training/optimize_test.cc')
-rw-r--r-- | training/optimize_test.cc | 105 |
1 files changed, 105 insertions, 0 deletions
diff --git a/training/optimize_test.cc b/training/optimize_test.cc new file mode 100644 index 00000000..0ada7cbb --- /dev/null +++ b/training/optimize_test.cc @@ -0,0 +1,105 @@ +#include <cassert> +#include <iostream> +#include <sstream> +#include <boost/program_options/variables_map.hpp> +#include "optimize.h" +#include "sparse_vector.h" +#include "fdict.h" + +using namespace std; + +double TestOptimizer(Optimizer* opt) { + cerr << "TESTING NON-PERSISTENT OPTIMIZER\n"; + + // f(x,y) = 4x1^2 + x1*x2 + x2^2 + x3^2 + 6x3 + 5 + // df/dx1 = 8*x1 + x2 + // df/dx2 = 2*x2 + x1 + // df/dx3 = 2*x3 + 6 + vector<double> x(3); + vector<double> g(3); + x[0] = 8; + x[1] = 8; + x[2] = 8; + double obj = 0; + do { + g[0] = 8 * x[0] + x[1]; + g[1] = 2 * x[1] + x[0]; + g[2] = 2 * x[2] + 6; + obj = 4 * x[0]*x[0] + x[0] * x[1] + x[1]*x[1] + x[2]*x[2] + 6 * x[2] + 5; + opt->Optimize(obj, g, &x); + + cerr << x[0] << " " << x[1] << " " << x[2] << endl; + cerr << " obj=" << obj << "\td/dx1=" << g[0] << " d/dx2=" << g[1] << " d/dx3=" << g[2] << endl; + } while (!opt->HasConverged()); + return obj; +} + +double TestPersistentOptimizer(Optimizer* opt) { + cerr << "\nTESTING PERSISTENT OPTIMIZER\n"; + // f(x,y) = 4x1^2 + x1*x2 + x2^2 + x3^2 + 6x3 + 5 + // df/dx1 = 8*x1 + x2 + // df/dx2 = 2*x2 + x1 + // df/dx3 = 2*x3 + 6 + vector<double> x(3); + vector<double> g(3); + x[0] = 8; + x[1] = 8; + x[2] = 8; + double obj = 0; + string state; + bool converged = false; + while (!converged) { + g[0] = 8 * x[0] + x[1]; + g[1] = 2 * x[1] + x[0]; + g[2] = 2 * x[2] + 6; + obj = 4 * x[0]*x[0] + x[0] * x[1] + x[1]*x[1] + x[2]*x[2] + 6 * x[2] + 5; + + { + if (state.size() > 0) { + istringstream is(state, ios::binary); + opt->Load(&is); + } + opt->Optimize(obj, g, &x); + ostringstream os(ios::binary); opt->Save(&os); state = os.str(); + + } + + cerr << x[0] << " " << x[1] << " " << x[2] << endl; + cerr << " obj=" << obj << "\td/dx1=" << g[0] << " d/dx2=" << g[1] << " d/dx3=" << g[2] << endl; + converged = opt->HasConverged(); + if (!converged) { + // now screw up the state (should be undone by Load) + obj += 2.0; + g[1] = -g[2]; + vector<double> x2 = x; + try { + opt->Optimize(obj, g, &x2); + } catch (...) { } + } + } + return obj; +} + +template <class O> +void TestOptimizerVariants(int num_vars) { + O oa(num_vars); + cerr << "-------------------------------------------------------------------------\n"; + cerr << "TESTING: " << oa.Name() << endl; + double o1 = TestOptimizer(&oa); + O ob(num_vars); + double o2 = TestPersistentOptimizer(&ob); + if (o1 != o2) { + cerr << oa.Name() << " VARIANTS PERFORMED DIFFERENTLY!\n" << o1 << " vs. " << o2 << endl; + exit(1); + } + cerr << oa.Name() << " SUCCESS\n"; +} + +int main() { + int n = 3; + TestOptimizerVariants<SGDOptimizer>(n); + TestOptimizerVariants<LBFGSOptimizer>(n); + TestOptimizerVariants<RPropOptimizer>(n); + return 0; +} + |