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325 lines
10 KiB
325 lines
10 KiB
//==============================================================================
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//
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// Copyright (c) 2002-
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// Authors:
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// * Dave Parker <david.parker@comlab.ox.ac.uk> (University of Oxford, formerly University of Birmingham)
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//
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//------------------------------------------------------------------------------
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//
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// This file is part of PRISM.
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//
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// PRISM is free software; you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation; either version 2 of the License, or
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// (at your option) any later version.
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//
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// PRISM is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with PRISM; if not, write to the Free Software Foundation,
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// Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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//
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//==============================================================================
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// includes
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#include "PrismHybrid.h"
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#include <math.h>
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#include <util.h>
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#include <cudd.h>
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#include <dd.h>
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#include <odd.h>
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#include <dv.h>
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#include "sparse.h"
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#include "hybrid.h"
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#include "PrismHybridGlob.h"
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#include "jnipointer.h"
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#include "prism.h"
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#include <new>
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// local prototypes
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static void mult_rec(HDDNode *hdd, int level, int row_offset, int col_offset);
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static void mult_rm(RMSparseMatrix *rmsm, int row_offset, int col_offset);
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static void mult_cmsr(CMSRSparseMatrix *cmsrsm, int row_offset, int col_offset);
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// globals (used by local functions)
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static HDDNode *zero;
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static int num_levels;
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static bool compact_sm;
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static double *sm_dist;
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static int sm_dist_shift;
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static int sm_dist_mask;
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static double *soln = NULL, *soln2 = NULL;
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//------------------------------------------------------------------------------
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JNIEXPORT jlong __jlongpointer JNICALL Java_hybrid_PrismHybrid_PH_1ProbCumulReward
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(
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JNIEnv *env,
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jclass cls,
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jlong __jlongpointer t, // trans matrix
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jlong __jlongpointer sr, // state rewards
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jlong __jlongpointer trr,// transition rewards
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jlong __jlongpointer od, // odd
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jlong __jlongpointer rv, // row vars
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jint num_rvars,
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jlong __jlongpointer cv, // col vars
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jint num_cvars,
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jint bound // time bound
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)
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{
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// cast function parameters
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DdNode *trans = jlong_to_DdNode(t); // trans matrix
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DdNode *state_rewards = jlong_to_DdNode(sr); // state rewards
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DdNode *trans_rewards = jlong_to_DdNode(trr); // transition rewards
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ODDNode *odd = jlong_to_ODDNode(od); // reachable states
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DdNode **rvars = jlong_to_DdNode_array(rv); // row vars
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DdNode **cvars = jlong_to_DdNode_array(cv); // col vars
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// mtbdds
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DdNode *all_rewards = NULL;
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// model stats
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int n;
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// flags
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bool compact_r;
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// matrix mtbdd
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HDDMatrix *hddm = NULL;
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HDDNode *hdd = NULL;
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// vectors
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double *rew_vec = NULL, *tmpsoln = NULL;
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DistVector *rew_dist = NULL;
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// timing stuff
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long start1, start2, start3, stop;
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double time_taken, time_for_setup, time_for_iters;
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// misc
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int i, iters;
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double kb, kbt;
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// exception handling around whole function
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try {
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// start clocks
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start1 = start2 = util_cpu_time();
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// get number of states
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n = odd->eoff + odd->toff;
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// build hdd for matrix
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PH_PrintToMainLog(env, "\nBuilding hybrid MTBDD matrix... ");
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hddm = build_hdd_matrix(trans, rvars, cvars, num_rvars, odd, true);
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hdd = hddm->top;
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zero = hddm->zero;
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num_levels = hddm->num_levels;
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kb = hddm->mem_nodes;
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kbt = kb;
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PH_PrintToMainLog(env, "[levels=%d, nodes=%d] ", hddm->num_levels, hddm->num_nodes);
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PH_PrintMemoryToMainLog(env, "[", kb, "]\n");
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// add sparse matrices
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PH_PrintToMainLog(env, "Adding explicit sparse matrices... ");
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add_sparse_matrices(hddm, compact, false);
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compact_sm = hddm->compact_sm;
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if (compact_sm) {
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sm_dist = hddm->dist;
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sm_dist_shift = hddm->dist_shift;
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sm_dist_mask = hddm->dist_mask;
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}
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kb = hddm->mem_sm;
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kbt += kb;
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PH_PrintToMainLog(env, "[levels=%d, num=%d%s] ", hddm->l_sm, hddm->num_sm, compact_sm?", compact":"");
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PH_PrintMemoryToMainLog(env, "[", kb, "]\n");
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// multiply transition rewards by transition probs and sum rows
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// then combine state and transition rewards and put in a vector
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Cudd_Ref(trans_rewards);
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Cudd_Ref(trans);
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all_rewards = DD_Apply(ddman, APPLY_TIMES, trans_rewards, trans);
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all_rewards = DD_SumAbstract(ddman, all_rewards, cvars, num_cvars);
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Cudd_Ref(state_rewards);
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all_rewards = DD_Apply(ddman, APPLY_PLUS, state_rewards, all_rewards);
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// get vector of rewards
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PH_PrintToMainLog(env, "Creating vector for rewards... ");
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rew_vec = mtbdd_to_double_vector(ddman, all_rewards, rvars, num_rvars, odd);
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// try and convert to compact form if required
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compact_r = false;
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if (compact) {
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if ((rew_dist = double_vector_to_dist(rew_vec, n))) {
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compact_r = true;
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delete[] rew_vec; rew_vec = NULL;
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}
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}
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kb = (!compact_r) ? n*8.0/1024.0 : (rew_dist->num_dist*8.0+n*2.0)/1024.0;
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kbt += kb;
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if (compact_r) PH_PrintToMainLog(env, "[dist=%d, compact] ", rew_dist->num_dist);
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PH_PrintMemoryToMainLog(env, "[", kb, "]\n");
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// create solution/iteration vectors
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PH_PrintToMainLog(env, "Allocating iteration vectors... ");
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soln = new double[n];
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soln2 = new double[n];
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kb = n*8.0/1024.0;
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kbt += 2*kb;
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PH_PrintMemoryToMainLog(env, "[2 x ", kb, "]\n");
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// print total memory usage
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PH_PrintMemoryToMainLog(env, "TOTAL: [", kbt, "]\n");
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// initial solution is zero
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for (i = 0; i < n; i++) {
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soln[i] = 0;
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}
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// get setup time
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stop = util_cpu_time();
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time_for_setup = (double)(stop - start2)/1000;
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start2 = stop;
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start3 = stop;
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// start iterations
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PH_PrintToMainLog(env, "\nStarting iterations...\n");
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// note that we ignore max_iters as we know how any iterations _should_ be performed
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for (iters = 0; iters < bound; iters++) {
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// initialise vector
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for (i = 0; i < n; i++) {
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soln2[i] = (!compact_r) ? rew_vec[i] : rew_dist->dist[rew_dist->ptrs[i]];
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}
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// do matrix vector multiply bit
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mult_rec(hdd, 0, 0, 0);
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// print occasional status update
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if ((util_cpu_time() - start3) > UPDATE_DELAY) {
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PH_PrintToMainLog(env, "Iteration %d (of %d): ", iters, bound);
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PH_PrintToMainLog(env, "%.2f sec so far\n", ((double)(util_cpu_time() - start2)/1000));
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start3 = util_cpu_time();
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}
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// prepare for next iteration
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tmpsoln = soln;
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soln = soln2;
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soln2 = tmpsoln;
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}
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// stop clocks
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stop = util_cpu_time();
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time_for_iters = (double)(stop - start2)/1000;
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time_taken = (double)(stop - start1)/1000;
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// print iterations/timing info
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PH_PrintToMainLog(env, "\nIterative method: %d iterations in %.2f seconds (average %.6f, setup %.2f)\n", iters, time_taken, time_for_iters/iters, time_for_setup);
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// catch exceptions: register error, free memory
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} catch (std::bad_alloc e) {
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PH_SetErrorMessage("Out of memory");
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if (soln) delete[] soln;
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soln = 0;
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}
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// free memory
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if (all_rewards) Cudd_RecursiveDeref(ddman, all_rewards);
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if (hddm) delete hddm;
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if (rew_vec) delete[] rew_vec;
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if (rew_dist) delete rew_dist;
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if (soln2) delete soln2;
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return ptr_to_jlong(soln);
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}
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//------------------------------------------------------------------------------
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static void mult_rec(HDDNode *hdd, int level, int row_offset, int col_offset)
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{
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HDDNode *e, *t;
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// if it's the zero node
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if (hdd == zero) {
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return;
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}
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// or if we've reached a submatrix
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// (check for non-null ptr but, equivalently, we could just check if level==l_sm)
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else if (hdd->sm.ptr) {
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if (!compact_sm) {
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mult_rm((RMSparseMatrix *)hdd->sm.ptr, row_offset, col_offset);
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} else {
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mult_cmsr((CMSRSparseMatrix *)hdd->sm.ptr, row_offset, col_offset);
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}
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return;
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}
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// or if we've reached the bottom
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else if (level == num_levels) {
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//printf("(%d,%d)=%f\n", row_offset, col_offset, hdd->type.val);
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soln2[row_offset] += soln[col_offset] * hdd->type.val;
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return;
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}
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// otherwise recurse
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e = hdd->type.kids.e;
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if (e != zero) {
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mult_rec(e->type.kids.e, level+1, row_offset, col_offset);
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mult_rec(e->type.kids.t, level+1, row_offset, col_offset+e->off.val);
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}
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t = hdd->type.kids.t;
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if (t != zero) {
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mult_rec(t->type.kids.e, level+1, row_offset+hdd->off.val, col_offset);
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mult_rec(t->type.kids.t, level+1, row_offset+hdd->off.val, col_offset+t->off.val);
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}
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}
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//-----------------------------------------------------------------------------------
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static void mult_rm(RMSparseMatrix *rmsm, int row_offset, int col_offset)
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{
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int i2, j2, l2, h2;
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int sm_n = rmsm->n;
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int sm_nnz = rmsm->nnz;
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double *sm_non_zeros = rmsm->non_zeros;
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unsigned char *sm_row_counts = rmsm->row_counts;
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int *sm_row_starts = (int *)rmsm->row_counts;
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bool sm_use_counts = rmsm->use_counts;
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unsigned int *sm_cols = rmsm->cols;
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// loop through rows of submatrix
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l2 = sm_nnz; h2 = 0;
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for (i2 = 0; i2 < sm_n; i2++) {
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// loop through entries in this row
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if (!sm_use_counts) { l2 = sm_row_starts[i2]; h2 = sm_row_starts[i2+1]; }
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else { l2 = h2; h2 += sm_row_counts[i2]; }
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for (j2 = l2; j2 < h2; j2++) {
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soln2[row_offset + i2] += soln[col_offset + sm_cols[j2]] * sm_non_zeros[j2];
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//printf("(%d,%d)=%f\n", row_offset + i2, col_offset + sm_cols[j2], sm_non_zeros[j2]);
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}
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}
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}
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//-----------------------------------------------------------------------------------
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static void mult_cmsr(CMSRSparseMatrix *cmsrsm, int row_offset, int col_offset)
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{
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int i2, j2, l2, h2;
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int sm_n = cmsrsm->n;
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int sm_nnz = cmsrsm->nnz;
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unsigned char *sm_row_counts = cmsrsm->row_counts;
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int *sm_row_starts = (int *)cmsrsm->row_counts;
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bool sm_use_counts = cmsrsm->use_counts;
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unsigned int *sm_cols = cmsrsm->cols;
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// loop through rows of submatrix
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l2 = sm_nnz; h2 = 0;
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for (i2 = 0; i2 < sm_n; i2++) {
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// loop through entries in this row
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if (!sm_use_counts) { l2 = sm_row_starts[i2]; h2 = sm_row_starts[i2+1]; }
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else { l2 = h2; h2 += sm_row_counts[i2]; }
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for (j2 = l2; j2 < h2; j2++) {
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soln2[row_offset + i2] += soln[col_offset + (int)(sm_cols[j2] >> sm_dist_shift)] * sm_dist[(int)(sm_cols[j2] & sm_dist_mask)];
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//printf("(%d,%d)=%f\n", row_offset + i2, col_offset + (int)(sm_cols[j2] >> sm_dist_shift), sm_dist[(int)(sm_cols[j2] & sm_dist_mask)]);
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}
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}
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}
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//------------------------------------------------------------------------------
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