Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license
This commit is contained in:
@@ -0,0 +1,82 @@
|
||||
---
|
||||
name: pytorch-fsdp
|
||||
description: Fully sharded data-parallel training for large models.
|
||||
version: 1.0.0
|
||||
author: Orchestra Research
|
||||
license: MIT
|
||||
dependencies: [torch>=2.0, transformers]
|
||||
platforms: [linux, macos]
|
||||
metadata:
|
||||
hermes:
|
||||
tags: [Distributed Training, PyTorch, FSDP, Data Parallel, Sharding, Mixed Precision, CPU Offloading, FSDP2, Large-Scale Training]
|
||||
|
||||
---
|
||||
|
||||
# Pytorch-Fsdp Skill
|
||||
|
||||
Assistance with pytorch-fsdp development, generated from official documentation.
|
||||
|
||||
## When to Use This Skill
|
||||
|
||||
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
|
||||
|
||||
## Quick Reference
|
||||
|
||||
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.
|
||||
|
||||
## Reference Files
|
||||
|
||||
This skill includes comprehensive documentation in `references/`:
|
||||
|
||||
- **other.md** - Other documentation
|
||||
|
||||
Use `view` to read specific reference files when detailed information is needed.
|
||||
|
||||
## Working with This Skill
|
||||
|
||||
### For Beginners
|
||||
Start with the getting_started or tutorials reference files for foundational concepts.
|
||||
|
||||
### For Specific Features
|
||||
Use the appropriate category reference file (api, guides, etc.) for detailed information.
|
||||
|
||||
### For Code Examples
|
||||
The quick reference section above contains common patterns extracted from the official docs.
|
||||
|
||||
## Resources
|
||||
|
||||
### references/
|
||||
Organized documentation extracted from official sources. These files contain:
|
||||
- Detailed explanations
|
||||
- Code examples with language annotations
|
||||
- Links to original documentation
|
||||
- Table of contents for quick navigation
|
||||
|
||||
### scripts/
|
||||
Add helper scripts here for common automation tasks.
|
||||
|
||||
### assets/
|
||||
Add templates, boilerplate, or example projects here.
|
||||
|
||||
## Notes
|
||||
|
||||
- This skill was automatically generated from official documentation
|
||||
- Reference files preserve the structure and examples from source docs
|
||||
- Code examples include language detection for better syntax highlighting
|
||||
- Quick reference patterns are extracted from common usage examples in the docs
|
||||
|
||||
## Updating
|
||||
|
||||
To refresh this skill with updated documentation:
|
||||
1. Re-run the scraper with the same configuration
|
||||
2. The skill will be rebuilt with the latest information
|
||||
|
||||
|
||||
Reference in New Issue
Block a user