Individual skill
pytorch-patterns
PyTorch深度学习模式与最佳实践,用于构建稳健、高效且可复现的训练流程、模型架构和数据加载。
docs/zh-CN/skills/pytorch-patterns/SKILL.md
Source commit b38be6a7f6350964d59328b52f0624e1d1d552d1
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 299,301
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- anthropic Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- llm Repository topic
- mcp Repository topic
- productivity Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytesSKILL.mdcore · 11,473 bytes
Read excerpt
# PyTorch 开发模式
构建稳健、高效和可复现深度学习应用的 PyTorch 惯用模式与最佳实践。
## 何时使用
* 编写新的 PyTorch 模型或训练脚本时
* 评审深度学习代码时
* 调试训练循环或数据管道时
* 优化 GPU 内存使用或训练速度时
* 设置可复现实验时
## 核心原则