PaddlePaddle / PaddlePaddle/FastDeploy
FastDeploy对AMD GPU / 海光DCU的支持问题
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- Dominant language
- Python
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Description
请问FastDeploy在AMD GPU及海光DCU硬件环境下，是用哪个runtime驱动对应硬件设备？是onnx DirectML吗？
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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
The issue names no file, test, or entry point. Start by identifying how FastDeploy selects a runtime for AMD GPU and 海光 DCU, then verify whether ONNX DirectML is the intended path. Done means documenting the supported runtime and hardware compatibility clearly.
Written by the indexing model from the issue text.
Assessment
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100