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pypto-case-elemwise-gelu

Implement a 1D elementwise GELU activation kernel with PyPTO JIT.

6|1|Updated Apr 19, 2026
Search Tags:#activation#kernel#jit#reshape#pypto#gelu#elementwise
One-click install
npx skills add https://github.com/xchang1121/AutoResearch-CC-hook --skill pypto-case-elemwise-gelu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pypto-case-elemwise-gelu
Source: https://github.com/xchang1121/AutoResearch-CC-hook/tree/main/skills/pypto/cases/pypto-case-elemwise-gelu
Command: npx skills add https://github.com/xchang1121/AutoResearch-CC-hook --skill pypto-case-elemwise-gelu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

该技能展示如何实现一个1D元素级GELU激活内核，阐释展平、无tanh情况下的手写公式，以及在PyPTO中使用基本算符进行向量化运算，帮助学习者理解核心计算流程。

Core Features & Use Cases

  • 演示使用 PyPTO 实现完整的1D GELU内核，包括reshape、元素级运算和简单的JIT封装。
  • 展示手写GELU公式的变体（在不使用tanh的情况下）以及将数学表达式映射到张量运算的过程。
  • 用例场景聚焦于教育性探索核设计、从1D扩展到高维及更复杂激活的学习路径。

Quick Start

直接运行示例以从给定代码构建并执行1D GELU内核。

Frequently Asked Questions about pypto-case-elemwise-gelu

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement a 1D GELU activation kernel using PyPTO?▼

You implement a 1D GELU activation kernel by using PyPTO JIT to compile a flattened tensor's elementwise operations, mapping the algebraic formula directly into vectorized operations.

What is the PyPTO approach for writing elementwise GELU without tanh?▼

Writing elementwise GELU without tanh in PyPTO involves expressing the mathematical formula using basic tensor operators and reshaping the 1D input to execute the forward pass.

Can I extend a 1D GELU kernel to higher dimensions in PyPTO?▼

Yes, you can extend a 1D GELU kernel to higher dimensions in PyPTO by flattening the input tensor to 1D for elementwise computation and reshaping the output to the original dimensions.

Does the PyPTO GELU case require any external dependencies?▼

The PyPTO GELU case requires no external dependencies, needing only PyPTO JIT and basic 1D tensor inputs to illustrate the kernel design and vectorized operations.

Why use PyPTO JIT for an elementwise activation kernel?▼

You use PyPTO JIT for an elementwise activation kernel to encapsulate the GELU computation, enabling step-by-step algebraic study and efficient vectorized execution of the forward pass.

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