pypto-case-reduction-sum
CommunityPreserve 3D tensor shape while reduction.
Authorxchang1121
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill demonstrates a minimal, dimension-preserving single-axis reduction on a 3D tensor, enabling simple, predictable reductions without reshaping or loops.
Core Features & Use Cases
- Keeps original tensor dimensions while performing a reduction along a single axis.
- Uses a minimal, deterministic kernel suitable for fixed input shapes like 16, 256, 256.
- Enforces a fixed reduction dimension to simplify implementation and testing.
Quick Start
Instantiate and run the fixed-dim reduction example to apply a sum over the specified axis to a 3D tensor and observe the preserved shape.
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-reduction-sum Download link: https://github.com/xchang1121/AutoResearch-CC-hook/archive/main.zip#pypto-case-reduction-sum Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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