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-rw-r--r--Tools/scripts/summarize_stats.py53
1 files changed, 44 insertions, 9 deletions
diff --git a/Tools/scripts/summarize_stats.py b/Tools/scripts/summarize_stats.py
index 69babfd..bc528ca 100644
--- a/Tools/scripts/summarize_stats.py
+++ b/Tools/scripts/summarize_stats.py
@@ -25,6 +25,11 @@ for name in opcode.opname[1:]:
pass
opname.append(name)
+# opcode_name --> opcode
+# Sort alphabetically.
+opmap = {name: i for i, name in enumerate(opname)}
+opmap = dict(sorted(opmap.items()))
+
TOTAL = "specialization.deferred", "specialization.hit", "specialization.miss", "execution_count"
def print_specialization_stats(name, family_stats, defines):
@@ -281,16 +286,16 @@ def get_total(opcode_stats):
return total
def emit_pair_counts(opcode_stats, total):
+ pair_counts = []
+ for i, opcode_stat in enumerate(opcode_stats):
+ if i == 0:
+ continue
+ for key, value in opcode_stat.items():
+ if key.startswith("pair_count"):
+ x, _, _ = key[11:].partition("]")
+ if value:
+ pair_counts.append((value, (i, int(x))))
with Section("Pair counts", summary="Pair counts for top 100 pairs"):
- pair_counts = []
- for i, opcode_stat in enumerate(opcode_stats):
- if i == 0:
- continue
- for key, value in opcode_stat.items():
- if key.startswith("pair_count"):
- x, _, _ = key[11:].partition("]")
- if value:
- pair_counts.append((value, (i, int(x))))
pair_counts.sort(reverse=True)
cumulative = 0
rows = []
@@ -302,6 +307,36 @@ def emit_pair_counts(opcode_stats, total):
emit_table(("Pair", "Count:", "Self:", "Cumulative:"),
rows
)
+ with Section("Predecessor/Successor Pairs", summary="Top 3 predecessors and successors of each opcode"):
+ predecessors = collections.defaultdict(collections.Counter)
+ successors = collections.defaultdict(collections.Counter)
+ total_predecessors = collections.Counter()
+ total_successors = collections.Counter()
+ for count, (first, second) in pair_counts:
+ if count:
+ predecessors[second][first] = count
+ successors[first][second] = count
+ total_predecessors[second] += count
+ total_successors[first] += count
+ for name, i in opmap.items():
+ total1 = total_predecessors[i]
+ total2 = total_successors[i]
+ if total1 == 0 and total2 == 0:
+ continue
+ pred_rows = succ_rows = ()
+ if total1:
+ pred_rows = [(opname[pred], count, f"{count/total1:.1%}")
+ for (pred, count) in predecessors[i].most_common(3)]
+ if total2:
+ succ_rows = [(opname[succ], count, f"{count/total2:.1%}")
+ for (succ, count) in successors[i].most_common(3)]
+ with Section(name, 3, f"Successors and predecessors for {name}"):
+ emit_table(("Predecessors", "Count:", "Percentage:"),
+ pred_rows
+ )
+ emit_table(("Successors", "Count:", "Percentage:"),
+ succ_rows
+ )
def main():
stats = gather_stats()