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Print summary stats for overall success of specialization. (GH-31211)

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Mark Shannon 2022-02-08 11:50:02 +00:00 committed by GitHub
parent c8b62bbe46
commit 328fe3fd20
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1 changed files with 32 additions and 0 deletions
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32
Tools/scripts/summarize_stats.py
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@ -77,6 +77,33 @@ def extract_opcode_stats(stats):
return opcode_stats
def categorized_counts(opcode_stats):
basic = 0
specialized = 0
not_specialized = 0
specialized_instructions = {
op for op in opcode._specialized_instructions
if "__" not in op and "ADAPTIVE" not in op}
adaptive_instructions = {
op for op in opcode._specialized_instructions
if "ADAPTIVE" in op}
for i, opcode_stat in enumerate(opcode_stats):
if "execution_count" not in opcode_stat:
continue
count = opcode_stat['execution_count']
name = opname[i]
if "specializable" in opcode_stat:
not_specialized += count
elif name in adaptive_instructions:
not_specialized += count
elif name in specialized_instructions:
miss = opcode_stat.get("specialization.miss", 0)
not_specialized += miss
specialized += count - miss
else:
basic += count
return basic, not_specialized, specialized
def main():
stats = gather_stats()
opcode_stats = extract_opcode_stats(stats)
@ -102,6 +129,11 @@ def main():
for i, opcode_stat in enumerate(opcode_stats):
name = opname[i]
print_specialization_stats(name, opcode_stat)
basic, not_specialized, specialized = categorized_counts(opcode_stats)
print("Specialization effectiveness:")
print(f" Base instructions {basic} {basic*100/total:0.1f}%")
print(f" Not specialized {not_specialized} {not_specialized*100/total:0.1f}%")
print(f" Specialized {specialized} {specialized*100/total:0.1f}%")
print("Call stats:")
total = 0
for key, value in stats.items():