PaddlePaddle / PaddlePaddle/FastDeploy
dynamic_batching 怎么设置呢
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- Dominant language
- Python
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- Avg merge
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- Merged PRs (30d)
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Description
温馨提示：根据社区不完全统计，按照模板提问，可以加快回复和解决问题的速度
环境
- 【FastDeploy版本】： registry.baidubce.com/paddlepaddle/fastdeploy:1.0.7-gpu-cuda11.4-trt8.5-21.10
- 【编译命令】
- 【系统平台】: centos
- 【硬件】： 说明具体硬件型号，如 Nvidia GPU 3080TI， CUDA 11.2 CUDNN 8.3
- 【编译语言】： C++ / Python(3.7或3.8等）
问题日志及出现问题的操作流程
- 服务化，设置的config.pbtxt 设置了max_batch_size 和dynamic_batching，返回只有一个box
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the service configuration shown in config.pbtxt, focusing on max_batch_size and dynamic_batching, and reproduce the reported response that contains only one box using the FastDeploy 1.0.7 GPU image. Check the service logs and the request flow; done means identifying whether batching is configured correctly or documenting the missing environment details needed to diagnose it.
Written by the indexing model from the issue text.
Assessment
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100