docs(hps): add Triton instance count configuration docs#17765
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scyyh11 wants to merge 5 commits intoPaddlePaddle:mainfrom
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docs(hps): add Triton instance count configuration docs#17765scyyh11 wants to merge 5 commits intoPaddlePaddle:mainfrom
scyyh11 wants to merge 5 commits intoPaddlePaddle:mainfrom
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Add documentation for Triton `instance_group` count parameter in both Chinese and English READMEs, covering configuration examples and tuning guidance for GPU and CPU models.
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Thanks for your contribution! |
Rewrite instance count docs to accurately describe behavior: single instance processes one batch at a time with intra-batch blocking, while multiple instances enable parallel batch processing to reduce queuing latency.
Clarify that Triton only loads the layout detection model (PP-DocLayoutV3) while VLM is served by vLLM separately. Note that multiple instances improve per-request latency, and that additional instances also increase vLLM load, CPU and memory usage.
…ure section Add a note under the Triton models table clarifying that only the layout detection model (PP-DocLayoutV3) runs in Triton, while VLM is served separately by vLLM.
Bobholamovic
reviewed
Mar 5, 2026
| | `layout-parsing` | 推理设备（如 GPU） | 版面解析推理 | | ||
| | `restructure-pages` | CPU | 多页结果后处理（跨页表格合并、标题层级重分配） | | ||
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| > 注意：Triton 服务中仅加载了版面检测模型（PP-DocLayoutV3），VLM 模型由独立的 vLLM 推理服务提供。 |
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这个感觉放在正文里说明更好，比如放在上面的表格里，Triton 服务器里包含版面检测模型以及产线串联逻辑，vLLM 服务器里包含VLM（VLM的“M”就是“模型”，不必重复）
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| ### Triton 实例数 | ||
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| Triton 服务中仅加载了版面检测模型（PP-DocLayoutV3），VLM 模型由独立的 vLLM 推理服务提供。每个 Triton 模型的并行推理实例数通过 `config.pbtxt` 中的 `instance_group` 配置（默认：1）。增加实例数可以提高并行处理能力，但会占用更多设备资源。 |
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Add documentation for Triton
instance_groupcount parameter in both Chinese and English READMEs, covering configuration examples and tuning guidance for GPU and CPU models.