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summarize_stats.py: add pairs by opcode (GH-31957)

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Dennis Sweeney 2022-03-18 06:10:31 -04:00 • committed by GitHub
parent 48d9262699
commit d7a93cbf4b
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1 changed files with 44 additions and 9 deletions
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37
Tools/scripts/summarize_stats.py
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@ -25,6 +25,11 @@ for name in opcode.opname[1:]:
pass pass
opname.append(name) 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" TOTAL = "specialization.deferred", "specialization.hit", "specialization.miss", "execution_count"
def print_specialization_stats(name, family_stats, defines): def print_specialization_stats(name, family_stats, defines):
@ -281,7 +286,6 @@ def get_total(opcode_stats):
return total return total
def emit_pair_counts(opcode_stats, total): def emit_pair_counts(opcode_stats, total):
with Section("Pair counts", summary="Pair counts for top 100 pairs"):
pair_counts = [] pair_counts = []
for i, opcode_stat in enumerate(opcode_stats): for i, opcode_stat in enumerate(opcode_stats):
if i == 0: if i == 0:
@ -291,6 +295,7 @@ def emit_pair_counts(opcode_stats, total):
x, _, _ = key[11:].partition("]") x, _, _ = key[11:].partition("]")
if value: if value:
pair_counts.append((value, (i, int(x)))) pair_counts.append((value, (i, int(x))))
with Section("Pair counts", summary="Pair counts for top 100 pairs"):
pair_counts.sort(reverse=True) pair_counts.sort(reverse=True)
cumulative = 0 cumulative = 0
rows = [] rows = []
@ -302,6 +307,36 @@ def emit_pair_counts(opcode_stats, total):
emit_table(("Pair", "Count:", "Self:", "Cumulative:"), emit_table(("Pair", "Count:", "Self:", "Cumulative:"),
rows 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(): def main():
stats = gather_stats() stats = gather_stats()