

Pull Request已成功合入, 合并人@CANN-robot
(感谢 Wjieee 的贡献)变更摘要
该 PR 为文档类改动(docs),基于关联 Issue #516 的直播作业要求,为 YOLOv13 示例填写并记录其最优多流配置。作者在 CANN 社区版 9.2.0、Ascend910_9362(aarch64 Ubuntu 20.04)环境下,以 --multi_stream_parallel_mode 为唯一寻优变量,对 cv、LoadBalance:1~64、MainStream:1~64 等配置逐一测试(--warmup-runs=10、--runs=90),最终确认 --multi_stream_parallel_mode=LoadBalance:55 为最优配置:平均耗时由 Base 配置的 2.631 ms 降至 2.261 ms,性能提升约 14.1%。本次改动即为在 YOLOv13 相关文档中填入上述最优配置及其测试结果(共改动 2 个文件,新增/删除各 2 行)。
主要改动
- 填写最优多流配置: 在 YOLOv13 示例文档中补充最优 ATC 编译参数
--multi_stream_parallel_mode=LoadBalance:55,作为该示例在多流场景下的推荐配置。 - 记录性能对比结果: 文档中写入 Base 配置(未配置多流参数,平均耗时 2.631 ms)与最优配置
LoadBalance:55(平均耗时 2.261 ms)的对比,明确约 14.1% 的性能提升。 - 补充测试环境与命令: 记录寻优所用的固定参数(
input_shape="images:1,3,640,640"、soc_version=Ascend910_9362等)、ATC 编译命令及推理测试命令,为复现该最优配置提供依据。


Hi @Wjieee, welcome to submitting your first PR to ge!
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🤖 本次改动均为数据 / 生成 / 二进制文件(如测试用例、锁文件、媒体资源),没有可审查的代码逻辑,已跳过 AI 代码审查。


Thanks for your pull-request.
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PR Approval Progress
✅ Congratulations! All modules have met the lgtm and approve requirements.
Module Approval Details
| module | lgtm status | approve status |
|---|---|---|
| repo-cann/ge | ✅ 张德鹏, zhanj, Mexyy (3/2) | ✅ 张德鹏 (1/1) |
💡 Tip:
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CLA Signature Pass
Wjieee, thanks for your pull request. All authors of the commits have signed the CLA. 👍


CLA检查已通过,详情可参考这里


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/lgtm

