benchmarking/frameworks/caffe2/caffe2.py [303:325]:
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            if num < total_num:
                num_items = len(valid_run_idxs)
                if num_items > 0:
                    getLogger().info(
                        "%d items collected, Still missing %d "
                        "runs. Collect again." % (num_items, total_num - num)
                    )

                    continue
                else:
                    getLogger().info("No new items collected, " "finish collecting...")
            elif total_num >= 0 and num > total_num:
                # if collect more than the needed number, get the
                # latest entries. This may happen when the data in
                # the previous runs are not cleared. e.g. on some
                # android 5 devices. Or, it may happen when multiple
                # runs are needed to collect the desired number of
                # iterations
                results = results[valid_run_idxs[num - total_num] :]
            break
        metric = converter_obj.convert(results)
        metric["meta"] = meta
        return metric
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benchmarking/frameworks/pytorch/pytorch.py [46:68]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
            if num < total_num:
                num_items = len(valid_run_idxs)
                if num_items > 0:
                    getLogger().info(
                        "%d items collected, Still missing %d "
                        "runs. Collect again." % (num_items, total_num - num)
                    )

                    continue
                else:
                    getLogger().info("No new items collected, " "finish collecting...")
            elif total_num >= 0 and num > total_num:
                # if collect more than the needed number, get the
                # latest entries. This may happen when the data in
                # the previous runs are not cleared. e.g. on some
                # android 5 devices. Or, it may happen when multiple
                # runs are needed to collect the desired number of
                # iterations
                results = results[valid_run_idxs[num - total_num] :]
            break
        metric = converter_obj.convert(results)
        metric["meta"] = meta
        return metric
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