Function specialization_section

Tools/scripts/summarize_stats.py:881–983

()

def specialization_section() -> Section:
    def calc_specialization_table(opcode: str) -> RowCalculator:
        def calc(stats: Stats) -> Rows:
            DOCS = {
                "deferred": 'Lists the number of "deferred" (i.e. not specialized) instructions executed.',
                "hit": "Specialized instructions that complete.",
                "miss": "Specialized instructions that deopt.",
                "deopt": "Specialized instructions that deopt.",
            }

            opcode_stats = stats.get_opcode_stats("opcode")
            total = opcode_stats.get_specialization_total(opcode)
            specialization_counts = opcode_stats.get_specialization_counts(opcode)

            return [
                (
                    Doc(label, DOCS[label]),
                    Count(count),
                    Ratio(count, total),
                )
                for label, count in specialization_counts.items()
            ]

        return calc

    def calc_specialization_success_failure_table(name: str) -> RowCalculator:
        def calc(stats: Stats) -> Rows:
            values = stats.get_opcode_stats(
                "opcode"
            ).get_specialization_success_failure(name)
            total = sum(values.values())
            if total:
                return [
                    (label.capitalize(), Count(val), Ratio(val, total))
                    for label, val in values.items()
                ]
            else:
                return []

        return calc

    def calc_specialization_failure_kind_table(name: str) -> RowCalculator:
        def calc(stats: Stats) -> Rows:
            opcode_stats = stats.get_opcode_stats("opcode")
            failures = opcode_stats.get_specialization_failure_kinds(name)
            total = opcode_stats.get_specialization_failure_total(name)

            return sorted(
                [
                    (label, Count(value), Ratio(value, total))
                    for label, value in failures.items()
                    if value
                ],
                key=itemgetter(1),
                reverse=True,
            )

        return calc