mindspore-ai / mindspore-ai/hyper-parallel
[bug] mf联调发现，参数初始化时，dim_map[shard_dim] index越界
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- Python
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Description
问题：
DTensor 参数初始化时，发现dim_map[shard_dim] index越界。
原因：
dim_map 元祖构建的dim维度取错了，期望是Tensor shape的ndim，实际取成了devicemesh的ndim
解决：
改成shape的dim
schema_version: 1
source: gitcode
gitcode_repo: mindspore/hyper-parallel
gitcode_issue: 169
source_url: https://gitcode.com/mindspore/hyper-parallel/issues/169
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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
Start at DTensor parameter initialization and trace where dim_map is constructed from the tensor shape and device mesh dimensions. Confirm that the tensor shape's ndim is used, then verify that dim_map[shard_dim] no longer raises an index error during initialization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Active
- Clarity
- Clearly specified
- Newbie friendliness
- 72/100