全分片数据并行
原名：pytorch-fsdp
Fully sharded data-parallel training for large models.
- 分类
- 开发提效
- 版本
- v1.0.0
- 作者
- 弈韬(@ra1nzzz)
- 下载
- 2
- 收藏
- 0
- 发布
- 2026-08-25
- 更新
- 2026-09-14
- TRACE 评分
- 4.6 / 5
内容概览
Assistance with pytorch-fsdp development, generated from official documentation. This skill should be triggered when: - Working with pytorch-fsdp - Asking about pytorch-fsdp features or APIs - Implementing pytorch-fsdp solutions - Debugging pytorch-fsdp code - Learning pytorch-fsdp best practices The full common-patterns catalog ( 157k chars of runnable FSDP snippets) lives in references/common-patterns.md — load it with read file when you need wrapping, sharding-strategy, checkpoint, or mixed-precision examples. Start there rather than reconstructing FSDP incantations from memory. This skill includes comprehensive documentation in references/: - other.md - Other documentation Use view to read specific reference files when detailed information is needed. Start with the getting started or tutorials reference files for foundational concepts. Use the appropriate category reference file (api…