rundata.py 文件源码

def _estimate_time_for_run_datas(self, run_bin_size: int, data1: RunData, data2: RunData,
                                     min_runs: int, max_runs: int) -> float:
        if min(len(data1), len(data2)) == 0 \
                or "__ov-time" not in data1.properties \
                or "__ov-time" not in data2.properties:
            return max_runs
        needed_runs = []
        for prop in set(data1.properties).intersection(data2.properties):
            estimate = self.tester.estimate_needed_runs(data1[prop], data2[prop],
                                                                run_bin_size, min_runs, max_runs)
            needed_runs.append(estimate)
        avg_time = max(scipy.mean(data1["__ov-time"]), scipy.mean(data2["__ov-time"]))
        return max(needed_runs) * avg_time