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pytorch-fsdp

Fully sharded data-parallel training for large models.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
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
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