pypto-case-norm-layernorm
Community2D LayerNorm with looped reduction in PyPto.
Authorxchang1121
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill demonstrates a 2D LayerNorm pattern by reshaping input to 2D and performing batch-wise reductions inside a kernel.
Core Features & Use Cases
- 2D reshape-based LayerNorm for batched inputs.
- Looped reduction over batch segments to improve cache efficiency.
- Realistic example for PyPto-based normalization in neural networks.
Quick Start
Run the PyPto LayerNorm example to observe 2D reshaping, looped reduction, and normalization.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pypto-case-norm-layernorm Download link: https://github.com/xchang1121/AutoResearch-CC-hook/archive/main.zip#pypto-case-norm-layernorm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.