#include "tree-ssa-loop.h"
#include "tree-scalar-evolution.h"
+/* Enum with reasons why a predictor is ignored. */
+
+enum predictor_reason
+{
+ NONE,
+ IGNORED,
+ SINGLE_EDGE_DUPLICATE,
+ EDGE_PAIR_DUPLICATE
+};
+
+/* String messages for the aforementioned enum. */
+
+static const char *reason_messages[] = {"", " (ignored)",
+ " (single edge duplicate)", " (edge pair duplicate)"};
+
/* real constants: 0, 1, 1-1/REG_BR_PROB_BASE, REG_BR_PROB_BASE,
1/REG_BR_PROB_BASE, 0.5, BB_FREQ_MAX. */
static sreal real_almost_one, real_br_prob_base,
real_inv_br_prob_base, real_one_half, real_bb_freq_max;
static void combine_predictions_for_insn (rtx_insn *, basic_block);
-static void dump_prediction (FILE *, enum br_predictor, int, basic_block, int);
+static void dump_prediction (FILE *, enum br_predictor, int, basic_block,
+ enum predictor_reason, edge);
static void predict_paths_leading_to (basic_block, enum br_predictor, enum prediction);
static void predict_paths_leading_to_edge (edge, enum br_predictor, enum prediction);
static bool can_predict_insn_p (const rtx_insn *);
static void
dump_prediction (FILE *file, enum br_predictor predictor, int probability,
- basic_block bb, int used)
+ basic_block bb, enum predictor_reason reason = NONE,
+ edge ep_edge = NULL)
{
- edge e;
+ edge e = ep_edge;
edge_iterator ei;
if (!file)
return;
- FOR_EACH_EDGE (e, ei, bb->succs)
- if (! (e->flags & EDGE_FALLTHRU))
- break;
+ if (e == NULL)
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (! (e->flags & EDGE_FALLTHRU))
+ break;
+
+ char edge_info_str[128];
+ if (ep_edge)
+ sprintf (edge_info_str, " of edge %d->%d", ep_edge->src->index,
+ ep_edge->dest->index);
+ else
+ edge_info_str[0] = '\0';
- fprintf (file, " %s heuristics%s: %.1f%%",
+ fprintf (file, " %s heuristics%s%s: %.1f%%",
predictor_info[predictor].name,
- used ? "" : " (ignored)", probability * 100.0 / REG_BR_PROB_BASE);
+ edge_info_str, reason_messages[reason],
+ probability * 100.0 / REG_BR_PROB_BASE);
if (bb->count)
{
if (!found)
dump_prediction (dump_file, PRED_NO_PREDICTION,
- combined_probability, bb, true);
+ combined_probability, bb);
else
{
dump_prediction (dump_file, PRED_DS_THEORY, combined_probability,
- bb, !first_match);
+ bb, !first_match ? NONE : IGNORED);
dump_prediction (dump_file, PRED_FIRST_MATCH, best_probability,
- bb, first_match);
+ bb, first_match ? NONE: IGNORED);
}
if (first_match)
combined_probability = best_probability;
- dump_prediction (dump_file, PRED_COMBINED, combined_probability, bb, true);
+ dump_prediction (dump_file, PRED_COMBINED, combined_probability, bb);
while (*pnote)
{
int probability = INTVAL (XEXP (XEXP (*pnote, 0), 1));
dump_prediction (dump_file, predictor, probability, bb,
- !first_match || best_predictor == predictor);
+ (!first_match || best_predictor == predictor)
+ ? NONE : IGNORED);
*pnote = XEXP (*pnote, 1);
}
else
single_succ_edge (bb)->probability = REG_BR_PROB_BASE;
}
+/* Edge prediction hash traits. */
+
+struct predictor_hash: pointer_hash <edge_prediction>
+{
+
+ static inline hashval_t hash (const edge_prediction *);
+ static inline bool equal (const edge_prediction *, const edge_prediction *);
+};
+
+/* Calculate hash value of an edge prediction P based on predictor and
+ normalized probability. */
+
+inline hashval_t
+predictor_hash::hash (const edge_prediction *p)
+{
+ inchash::hash hstate;
+ hstate.add_int (p->ep_predictor);
+
+ int prob = p->ep_probability;
+ if (prob > REG_BR_PROB_BASE / 2)
+ prob = REG_BR_PROB_BASE - prob;
+
+ hstate.add_int (prob);
+
+ return hstate.end ();
+}
+
+/* Return true whether edge predictions P1 and P2 use the same predictor and
+ have equal (or opposed probability). */
+
+inline bool
+predictor_hash::equal (const edge_prediction *p1, const edge_prediction *p2)
+{
+ return (p1->ep_predictor == p2->ep_predictor
+ && (p1->ep_probability == p2->ep_probability
+ || p1->ep_probability == REG_BR_PROB_BASE - p2->ep_probability));
+}
+
+struct predictor_hash_traits: predictor_hash,
+ typed_noop_remove <edge_prediction *> {};
+
+/* Return true if edge prediction P is not in DATA hash set. */
+
+static bool
+not_removed_prediction_p (edge_prediction *p, void *data)
+{
+ hash_set<edge_prediction *> *remove = (hash_set<edge_prediction *> *) data;
+ return !remove->contains (p);
+}
+
+/* Prune predictions for a basic block BB. Currently we do following
+ clean-up steps:
+
+ 1) remove duplicate prediction that is guessed with the same probability
+ (different than 1/2) to both edge
+ 2) remove duplicates for a prediction that belongs with the same probability
+ to a single edge
+
+ */
+
+static void
+prune_predictions_for_bb (basic_block bb)
+{
+ edge_prediction **preds = bb_predictions->get (bb);
+
+ if (preds)
+ {
+ hash_table <predictor_hash_traits> s (13);
+ hash_set <edge_prediction *> remove;
+
+ /* Step 1: identify predictors that should be removed. */
+ for (edge_prediction *pred = *preds; pred; pred = pred->ep_next)
+ {
+ edge_prediction *existing = s.find (pred);
+ if (existing)
+ {
+ if (pred->ep_edge == existing->ep_edge
+ && pred->ep_probability == existing->ep_probability)
+ {
+ /* Remove a duplicate predictor. */
+ dump_prediction (dump_file, pred->ep_predictor,
+ pred->ep_probability, bb,
+ SINGLE_EDGE_DUPLICATE, pred->ep_edge);
+
+ remove.add (pred);
+ }
+ else if (pred->ep_edge != existing->ep_edge
+ && pred->ep_probability == existing->ep_probability
+ && pred->ep_probability != REG_BR_PROB_BASE / 2)
+ {
+ /* Remove both predictors as they predict the same
+ for both edges. */
+ dump_prediction (dump_file, existing->ep_predictor,
+ pred->ep_probability, bb,
+ EDGE_PAIR_DUPLICATE,
+ existing->ep_edge);
+ dump_prediction (dump_file, pred->ep_predictor,
+ pred->ep_probability, bb,
+ EDGE_PAIR_DUPLICATE,
+ pred->ep_edge);
+
+ remove.add (existing);
+ remove.add (pred);
+ }
+ }
+
+ edge_prediction **slot2 = s.find_slot (pred, INSERT);
+ *slot2 = pred;
+ }
+
+ /* Step 2: Remove predictors. */
+ filter_predictions (preds, not_removed_prediction_p, &remove);
+ }
+}
+
/* Combine predictions into single probability and store them into CFG.
Remove now useless prediction entries.
If DRY_RUN is set, only produce dumps and do not modify profile. */
if (dump_file)
fprintf (dump_file, "Predictions for bb %i\n", bb->index);
+ prune_predictions_for_bb (bb);
+
edge_prediction **preds = bb_predictions->get (bb);
+
if (preds)
{
/* We implement "first match" heuristics and use probability guessed
first_match = true;
if (!found)
- dump_prediction (dump_file, PRED_NO_PREDICTION, combined_probability, bb, true);
+ dump_prediction (dump_file, PRED_NO_PREDICTION, combined_probability, bb);
else
{
dump_prediction (dump_file, PRED_DS_THEORY, combined_probability, bb,
- !first_match);
+ !first_match ? NONE : IGNORED);
dump_prediction (dump_file, PRED_FIRST_MATCH, best_probability, bb,
- first_match);
+ first_match ? NONE : IGNORED);
}
if (first_match)
combined_probability = best_probability;
- dump_prediction (dump_file, PRED_COMBINED, combined_probability, bb, true);
+ dump_prediction (dump_file, PRED_COMBINED, combined_probability, bb);
if (preds)
{
enum br_predictor predictor = pred->ep_predictor;
int probability = pred->ep_probability;
- if (pred->ep_edge != EDGE_SUCC (bb, 0))
- probability = REG_BR_PROB_BASE - probability;
dump_prediction (dump_file, predictor, probability, bb,
- !first_match || best_predictor == predictor);
+ (!first_match || best_predictor == predictor)
+ ? NONE : IGNORED, pred->ep_edge);
}
}
clear_bb_predictions (bb);
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