mindspore-ai / mindspore-ai/hyper-parallel
[Bug]在fully_shard接口传入replicate_params时，第一个step grad_norm异常比baseline大。
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- Dominant language
- Python
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Description
该问题是怎么引起的？
网络中部分参数采取不切，将这部分参数传给replicate_params，拉起训练，第一个step grad nrom较大。其他参数配置不改
重现步骤
报错信息
不报错，grad norm异常，baseline grad norm是28.97633362。传replicate_params参数时训练的grad norm是48.47068405
schema_version: 1
source: gitcode
gitcode_repo: mindspore/hyper-parallel
gitcode_issue: 129
source_url: https://gitcode.com/mindspore/hyper-parallel/issues/129
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
Start by reproducing training with fully_shard and replicate_params, comparing the first-step grad norm with the baseline configuration. No files or tests are named; the issue is done when the replicated-parameter configuration no longer produces the abnormal first-step norm and matches the baseline behavior.
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Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100