PaddlePaddle / PaddlePaddle/FastDeploy
在NVIDIA 50系列显卡上使用fastdeploy
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.7k
- Forks
- 756
- Avg merge
- 19h 28m
- Merged PRs (30d)
- 4
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】： libfastdepoly.0.0.0
- 【编译命令】未知
- 【系统平台】: Linux x86_64(Ubuntu 20.04)
- 【硬件】： 说明具体硬件型号，如 Nvidia GPU 5080， CUDA 11.2
- 【编译语言】： C++
问题日志及出现问题的操作流程
- 附上详细的问题日志有助于快速定位分析
-加载模型报错
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
No source file, test, entry point, exact build command, or complete hardware and version details are provided. Start by reviewing the attached model-loading error and collecting the missing NVIDIA 50-series, CUDA, FastDeploy, build, and reproduction details; done should mean the loading failure is reproduced and its cause or resolution is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, linux, ubuntu
- Domain
- backend, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100