//============================================================================== // // Copyright (c) 2002- // Authors: // * Dave Parker (University of Oxford, formerly University of Birmingham) // //------------------------------------------------------------------------------ // // This file is part of PRISM. // // PRISM is free software; you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation; either version 2 of the License, or // (at your option) any later version. // // PRISM is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with PRISM; if not, write to the Free Software Foundation, // Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA // //============================================================================== // includes #include "PrismMTBDD.h" #include #include #include #include #include #include "PrismMTBDDGlob.h" #include "jnipointer.h" //------------------------------------------------------------------------------ JNIEXPORT jlong __jlongpointer JNICALL Java_mtbdd_PrismMTBDD_PM_1ProbCumulReward ( JNIEnv *env, jclass cls, jlong __jlongpointer t, // trans matrix jlong __jlongpointer sr, // state rewards jlong __jlongpointer trr, // transition rewards jlong __jlongpointer od, // odd jlong __jlongpointer rv, // row vars jint num_rvars, jlong __jlongpointer cv, // col vars jint num_cvars, jint bound // time bound ) { // cast function parameters DdNode *trans = jlong_to_DdNode(t); // trans matrix DdNode *state_rewards = jlong_to_DdNode(sr); // state rewards DdNode *trans_rewards = jlong_to_DdNode(trr); // transition rewards ODDNode *odd = jlong_to_ODDNode(od); // odd DdNode **rvars = jlong_to_DdNode_array(rv); // row vars DdNode **cvars = jlong_to_DdNode_array(cv); // col vars // mtbdds DdNode *all_rewards, *sol, *tmp; // timing stuff long start1, start2, start3, stop; double time_taken, time_for_setup, time_for_iters; // misc int iters; // start clocks start1 = start2 = util_cpu_time(); // multiply transition rewards by transition probs and sum rows // then combine state and transition rewards and put in a vector Cudd_Ref(trans_rewards); Cudd_Ref(trans); all_rewards = DD_Apply(ddman, APPLY_TIMES, trans_rewards, trans); all_rewards = DD_SumAbstract(ddman, all_rewards, cvars, num_cvars); Cudd_Ref(state_rewards); all_rewards = DD_Apply(ddman, APPLY_PLUS, state_rewards, all_rewards); // initial solution is zero sol = DD_Constant(ddman, 0); // get setup time stop = util_cpu_time(); time_for_setup = (double)(stop - start2)/1000; start2 = stop; // start iterations PM_PrintToMainLog(env, "\nStarting iterations...\n"); // note that we ignore max_iters as we know how any iterations _should_ be performed for (iters = 0; iters < bound; iters++) { // PM_PrintToMainLog(env, "Iteration %d: ", iters); // start3 = util_cpu_time(); // matrix-vector multiply Cudd_Ref(sol); tmp = DD_PermuteVariables(ddman, sol, rvars, cvars, num_rvars); Cudd_Ref(trans); tmp = DD_MatrixMultiply(ddman, trans, tmp, cvars, num_cvars, MM_BOULDER); // add in (combined state and transition) rewards Cudd_Ref(all_rewards); tmp = DD_Apply(ddman, APPLY_PLUS, tmp, all_rewards); // prepare for next iteration Cudd_RecursiveDeref(ddman, sol); sol = tmp; // PM_PrintToMainLog(env, "%.2f %.2f sec\n", ((double)(util_cpu_time() - start3)/1000), ((double)(util_cpu_time() - start2)/1000)/iters); } // stop clocks stop = util_cpu_time(); time_for_iters = (double)(stop - start2)/1000; time_taken = (double)(stop - start1)/1000; // print iterations/timing info PM_PrintToMainLog(env, "\nIterative method: %d iterations in %.2f seconds (average %.6f, setup %.2f)\n", iters, time_taken, time_for_iters/iters, time_for_setup); // free memory Cudd_RecursiveDeref(ddman, all_rewards); return ptr_to_jlong(sol); } //------------------------------------------------------------------------------