|
public InternalBuild ( |
||
| setup | ||
| leader_num_centers | int | |
| leader_review_prob | double | |
| db | MetricDB | |
| num_indexes | int | |
| return | BuildSearchCost | |
public virtual void Build(MetricDB db, ANNISetup setup)
{
// num_build_processors = 1;
this.DB = db;
var rows = new List<ANNI> ();
var pivsel = new PivotSelectorRandom(db.Count, RandomSets.GetRandom());
this.leader = new NANNI();
var ilc = new ANNI();
var cost = ilc.InternalBuild (setup, 0, 1.0, db, 2);
this.leader.Build (ilc);
int m = this.leader.clusters.Count;
double review_prob = cost.SingleCost - m; review_prob /= this.DB.Count;
var min_prob = Math.Sqrt (this.DB.Count) / this.DB.Count;
while (review_prob > min_prob) {
var row = new ANNI ();
rows.Add (row);
var _cost = row.InternalBuild (setup, m, review_prob, db, 2);
var _m = row.ACT.Count;
review_prob *= (_cost.SingleCost - _m) / this.DB.Count;
}
this.rows = rows.ToArray ();
}
public virtual void Build(MetricDB db, ANNISetup setup, int num_indexes, int num_tasks = -1)
{
// num_build_processors = 1;
this.DB = db;
--num_indexes;
this.rows = new ANNI[num_indexes];
var pivsel = new PivotSelectorRandom(db.Count, RandomSets.GetRandom());
this.leader = new NANNI();
var ilc = new ANNI();
var cost = ilc.InternalBuild (setup, 0, 1.0, db, 2);
this.leader.Build (ilc);
int m = this.leader.clusters.Count;
double review_prob = cost.SingleCost - m; review_prob /= this.DB.Count;
// ParallelOptions ops = new ParallelOptions ();
// ops.MaxDegreeOfParallelism = num_tasks;
// Parallel.For (0, num_indexes, ops, (int i) => {
// this.rows [i] = new ILC ();
// this.rows [i].InternalBuild (m, review_prob, db, num_indexes, pivsel);
// });
Console.WriteLine ("====> num_indexes: {0}", num_indexes);
LongParallel.For (0, num_indexes, (int i) => {
this.rows [i] = new ANNI ();
this.rows [i].InternalBuild (setup, m, review_prob, db, num_indexes);
}, num_tasks);
}