//============================================================================== // // 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 "PrismSparse.h" #include #include #include #include #include #include #include "sparse.h" #include "prism.h" #include "PrismSparseGlob.h" #include "jnipointer.h" #include //------------------------------------------------------------------------------ JNIEXPORT jlong __jlongpointer JNICALL Java_sparse_PrismSparse_PS_1NondetUntil ( JNIEnv *env, jclass cls, jlong __jlongpointer t, // trans matrix jlong __jlongpointer ta, // trans action labels jobject synchs, jlong __jlongpointer od, // odd jlong __jlongpointer rv, // row vars jint num_rvars, jlong __jlongpointer cv, // col vars jint num_cvars, jlong __jlongpointer ndv, // nondet vars jint num_ndvars, jlong __jlongpointer y, // 'yes' states jlong __jlongpointer m, // 'maybe' states jboolean min // min or max probabilities (true = min, false = max) ) { // cast function parameters DdNode *trans = jlong_to_DdNode(t); // trans matrix DdNode *trans_actions = jlong_to_DdNode(ta); // trans action labels ODDNode *odd = jlong_to_ODDNode(od); // reachable states DdNode **rvars = jlong_to_DdNode_array(rv); // row vars DdNode **cvars = jlong_to_DdNode_array(cv); // col vars DdNode **ndvars = jlong_to_DdNode_array(ndv); // nondet vars DdNode *yes = jlong_to_DdNode(y); // 'yes' states DdNode *maybe = jlong_to_DdNode(m); // 'maybe' states // mtbdds DdNode *a = NULL, *tmp = NULL; // model stats int n, nc; long nnz; // sparse matrix NDSparseMatrix *ndsm = NULL; // vectors double *yes_vec = NULL, *soln = NULL, *soln2 = NULL, *tmpsoln = NULL; // timing stuff long start1, start2, start3, stop; double time_taken, time_for_setup, time_for_iters; // adversary stuff bool adv = false, adv_loop = false; FILE *fp_adv = NULL; int adv_l, adv_h; int *actions; jstring *action_names_jstrings; const char** action_names; int num_actions; // misc int i, j, k, l1, h1, l2, h2, iters; double d1, d2, kb, kbt; bool done, first; // exception handling around whole function try { // start clocks start1 = start2 = util_cpu_time(); // get a - filter out rows Cudd_Ref(trans); Cudd_Ref(maybe); a = DD_Apply(ddman, APPLY_TIMES, trans, maybe); // get number of states n = odd->eoff + odd->toff; // build sparse matrix PS_PrintToMainLog(env, "\nBuilding sparse matrix... "); ndsm = build_nd_sparse_matrix(ddman, a, rvars, cvars, num_rvars, ndvars, num_ndvars, odd); // get number of transitions/choices nnz = ndsm->nnz; nc = ndsm->nc; kb = ndsm->mem; kbt = kb; // print out info PS_PrintToMainLog(env, "[n=%d, nc=%d, nnz=%d, k=%d] ", n, nc, nnz, ndsm->k); PS_PrintMemoryToMainLog(env, "[", kb, "]\n"); // if needed, and if info is available, build a vector of action indices for the mdp if (adv && trans_actions != NULL) { PS_PrintToMainLog(env, "Building action information... "); // first need to filter out unwanted rows Cudd_Ref(trans_actions); Cudd_Ref(maybe); tmp = DD_Apply(ddman, APPLY_TIMES, trans_actions, maybe); // then convert to a vector of integer indices actions = build_nd_action_vector(ddman, trans, tmp, ndsm, rvars, cvars, num_rvars, ndvars, num_ndvars, odd); Cudd_RecursiveDeref(ddman, tmp); kb = n*4.0/1024.0; kbt += kb; PS_PrintMemoryToMainLog(env, "[", kb, "]\n"); } else { actions = NULL; } // also extract list of action name get_string_array_from_java(env, synchs, action_names_jstrings, action_names, num_actions); // get vector for yes PS_PrintToMainLog(env, "Creating vector for yes... "); yes_vec = mtbdd_to_double_vector(ddman, yes, rvars, num_rvars, odd); kb = n*8.0/1024.0; kbt += kb; PS_PrintMemoryToMainLog(env, "[", kb, "]\n"); // create solution/iteration vectors PS_PrintToMainLog(env, "Allocating iteration vectors... "); soln = new double[n]; soln2 = new double[n]; kb = n*8.0/1024.0; kbt += 2*kb; PS_PrintMemoryToMainLog(env, "[2 x ", kb, "]\n"); // print total memory usage PS_PrintMemoryToMainLog(env, "TOTAL: [", kbt, "]\n"); // initial solution is yes for (i = 0; i < n; i++) { soln[i] = yes_vec[i]; // if (soln[i]) printf("yes[%d] := %f;\n", i+1, yes[i]); } // get setup time stop = util_cpu_time(); time_for_setup = (double)(stop - start2)/1000; start2 = stop; // start iterations iters = 0; done = false; PS_PrintToMainLog(env, "\nStarting iterations...\n"); // open file to store adversary (if required) if (adv) { fp_adv = fopen("adv.tra", "w"); fprintf(fp_adv, "%d ?\n", n); } while ((!done && iters < max_iters) || adv_loop) { iters++; // PS_PrintToMainLog(env, "iter %d\n", iters); // start3 = util_cpu_time(); // store local copies of stuff double *non_zeros = ndsm->non_zeros; unsigned char *row_counts = ndsm->row_counts; int *row_starts = (int *)ndsm->row_counts; unsigned char *choice_counts = ndsm->choice_counts; int *choice_starts = (int *)ndsm->choice_counts; bool use_counts = ndsm->use_counts; unsigned int *cols = ndsm->cols; // do matrix multiplication and min/max h1 = h2 = 0; for (i = 0; i < n; i++) { d1 = min ? 2 : -1; first = true; if (!use_counts) { l1 = row_starts[i]; h1 = row_starts[i+1]; } else { l1 = h1; h1 += row_counts[i]; } for (j = l1; j < h1; j++) { d2 = 0; if (!use_counts) { l2 = choice_starts[j]; h2 = choice_starts[j+1]; } else { l2 = h2; h2 += choice_counts[j]; } for (k = l2; k < h2; k++) { d2 += non_zeros[k] * soln[cols[k]]; } if (first || (min&&(d2d1))) { d1 = d2; if (adv_loop) { adv_l = l2; adv_h = h2; } } first = false; } // set vector element // (if no choices, use value of yes) soln2[i] = (h1 > l1) ? d1 : yes_vec[i]; // store adversary info (if required) if (adv_loop) if (h1 > l1) for (k = adv_l; k < adv_h; k++) { fprintf(fp_adv, "%d %d %g", i, cols[k], non_zeros[k]); if (actions != NULL) fprintf(fp_adv, " %s", actions[l1]>0?action_names[actions[l1]-1]:""); fprintf(fp_adv, "\n"); } } // check convergence // (note: doing outside loop means may not need to check all elements) switch (term_crit) { case TERM_CRIT_ABSOLUTE: done = true; for (i = 0; i < n; i++) { if (fabs(soln2[i] - soln[i]) > term_crit_param) { done = false; break; } } break; case TERM_CRIT_RELATIVE: done = true; for (i = 0; i < n; i++) { if (fabs(soln2[i] - soln[i])/soln2[i] > term_crit_param) { done = false; break; } } break; } // prepare for next iteration tmpsoln = soln; soln = soln2; soln2 = tmpsoln; // if we're done, but adversary generation is required, go round once more if (done && adv) adv_loop = !adv_loop; // PS_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 PS_PrintToMainLog(env, "\nIterative method: %d iterations in %.2f seconds (average %.6f, setup %.2f)\n", iters, time_taken, time_for_iters/iters, time_for_setup); // if the iterative method didn't terminate, this is an error if (!done) { delete soln; soln = NULL; PS_SetErrorMessage("Iterative method did not converge within %d iterations.\nConsider using a different numerical method or increasing the maximum number of iterations", iters); } // close file to store adversary (if required) if (adv) { fclose(fp_adv); } // catch exceptions: register error, free memory } catch (std::bad_alloc e) { PS_SetErrorMessage("Out of memory"); if (soln) delete[] soln; soln = 0; } // free memory if (a) Cudd_RecursiveDeref(ddman, a); if (ndsm) delete ndsm; if (yes_vec) delete[] yes_vec; if (soln2) delete[] soln2; release_string_array_from_java(env, action_names_jstrings, action_names, num_actions); return ptr_to_jlong(soln); } //------------------------------------------------------------------------------