mindspore-ai / mindspore-ai/hyper-parallel
MF联调问题：没参与切分的Tensor无法获取layout信息
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- Dominant language
- Python
- Stars
- 53
- Forks
- 63
- Avg merge
- 23h 45m
- Merged PRs (30d)
- 63
Description
当前问题：
对于没有转换成DTensor的Parameter(例如fully_shard的ignored_params)，拿不到layout信息，后续的相关操作(权重转换)无法正常处理。
解决办法：
给layout一个默认值None，而不是跳过处理。后续get到None时，Tensor当做没切分处理。
schema_version: 1
source: gitcode
gitcode_repo: mindspore/hyper-parallel
gitcode_issue: 100
source_url: https://gitcode.com/mindspore/hyper-parallel/issues/100
Contributor guide
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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
No files or tests are named. Start by locating the layout-handling path for Parameters that are not converted to DTensor, including fully_shard ignored_params. Ensure the default layout is None and check the related weight-conversion behavior for an unsharded Tensor; done means the conversion no longer skips these Parameters and treats None as unsharded.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 67/100