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| author | Mark Shannon <mark@hotpy.org> | 2022-02-08 11:50:02 (GMT) |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-02-08 11:50:02 (GMT) |
| commit | 328fe3fd2034a91a15b77a24a307e218d02d7bf1 (patch) | |
| tree | f0bc8bd2d855aaa7a3dc08fa43ed1e671e5fbfe1 | |
| parent | c8b62bbe46e20d4b6dd556f2fa85960d1269aa45 (diff) | |
| download | cpython-328fe3fd2034a91a15b77a24a307e218d02d7bf1.zip cpython-328fe3fd2034a91a15b77a24a307e218d02d7bf1.tar.gz cpython-328fe3fd2034a91a15b77a24a307e218d02d7bf1.tar.bz2 | |
Print summary stats for overall success of specialization. (GH-31211)
| -rw-r--r-- | Tools/scripts/summarize_stats.py | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/Tools/scripts/summarize_stats.py b/Tools/scripts/summarize_stats.py index 6d00207..1271c19 100644 --- a/Tools/scripts/summarize_stats.py +++ b/Tools/scripts/summarize_stats.py @@ -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(): |