//============================================================================== // // 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 "PrismSparseGlob.h" #include "jnipointer.h" #include "prism.h" #include //------------------------------------------------------------------------------ JNIEXPORT jlong __jlongpointer JNICALL Java_sparse_PrismSparse_PS_1NondetBoundedUntil ( JNIEnv *env, jclass cls, jlong __jlongpointer t, // trans matrix 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 jint bound, // time bound jboolean min // min or max probabilities (true = min, false = max) ) { // cast function parameters DdNode *trans = jlong_to_DdNode(t); // trans matrix 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; // 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; // misc int i, j, k, l1, h1, l2, h2, iters; double d1, d2, kb, kbt; // 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"); // 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]; } // get setup time stop = util_cpu_time(); time_for_setup = (double)(stop - start2)/1000; start2 = stop; start3 = stop; // start iterations PS_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++) { // 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; 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 (min) { if (d2 < d1) d1 = d2; } else { if (d2 > d1) d1 = d2; } } // set vector element // (if no choices, use value of yes) soln2[i] = (h1 > l1) ? d1 : yes_vec[i]; } // print occasional status update if ((util_cpu_time() - start3) > UPDATE_DELAY) { PS_PrintToMainLog(env, "Iteration %d (of %d): ", iters, bound); PS_PrintToMainLog(env, "%.2f sec so far\n", ((double)(util_cpu_time() - start2)/1000)); start3 = util_cpu_time(); } // prepare for next iteration tmpsoln = soln; soln = soln2; soln2 = tmpsoln; } // 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); // 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; return ptr_to_jlong(soln); } //------------------------------------------------------------------------------