mindspore-ai / mindspore-ai/hyper-parallel
MindSpore后端支持fully_shard
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 53
- Forks
- 63
- Avg merge
- 23h 45m
- Merged PRs (30d)
- 63
Description
背景
hyper-parallel fully_shard支持mindspore后端，对外接口统一。
功能点：
- 基础的fully shard功能
- 混合精度
- allgather预取
- 异步reduce scatter
- 通信融合
schema_version: 1
source: gitcode
gitcode_repo: mindspore/hyper-parallel
gitcode_issue: 63
source_url: https://gitcode.com/mindspore/hyper-parallel/issues/63
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
The issue names no files, tests, or entry points. Start by locating the existing fully_shard implementation and its backend abstraction, then compare MindSpore support against the five listed requirements; done means basic sharding, mixed precision, allgather prefetch, asynchronous reduce-scatter, and communication fusion are supported through a unified public interface.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100