skills.rest
PaddlePaddle
PaddlePaddleOFFICIAL
Explore all skills by this author →
WebsiteGitHub

api-change-decider

Analyze PyTorch and Paddle API differences for migration decisions.

285|906|Updated Jun 7, 2018
Search Tags:#automation#API#compatibility#migration#PyTorch#Paddle
One-click install
npx skills add https://github.com/PaddlePaddle/docs --skill api-change-decider
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-change-decider
Source: https://github.com/PaddlePaddle/docs/tree/main/docs/dev_guides/coding_agent/api_compatibility/.claude/skills/api-change-decider
Command: npx skills add https://github.com/PaddlePaddle/docs --skill api-change-decider

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables developers to automatically analyze the differences between PyTorch and Paddle API implementations, facilitating seamless framework migration and compatibility checks.

Core Features & Use Cases

  • Difference Analysis: Compares PyTorch API signatures with Paddle counterparts to identify discrepancies.
  • Schema Generation: Produces detailed tables with decision explanations for API alignment strategies.
  • Use Case: Engineers migrating models from PyTorch to Paddle can quickly assess API differences and determine appropriate adaptation schemes.

Quick Start

Provide a list of PyTorch APIs to analyze for compatibility issues and receive detailed JSON-formatted decision suggestions.

Frequently Asked Questions about api-change-decider

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

FAQPage Schema
How do I analyze API differences between PyTorch and Paddle for framework migration?▼

API compatibility analysis between PyTorch and Paddle is automated by comparing API signatures, parameters, and usage patterns to identify discrepancies for migration. It generates detailed JSON-formatted decision suggestions to determine appropriate adaptation schemes.

What is the best way to check PyTorch and Paddle API compatibility automatically?▼

The best way to check API compatibility automatically is to provide a list of PyTorch APIs to analyze against Paddle counterparts. The tool compares signatures and parameters, producing detailed tables with decision explanations for API alignment strategies.

How do I generate an API alignment schema for migrating models from PyTorch to Paddle?▼

To generate an API alignment schema, input your PyTorch API list for compatibility analysis. The system evaluates parameter differences and usage patterns, outputting detailed JSON-formatted decision suggestions for your migration adaptation schemes.

Can I use this API compatibility checker for large-scale PyTorch to Paddle migration?▼

Yes, this API compatibility checker supports large-scale PyTorch to Paddle migration by analyzing extensive lists of PyTorch APIs. It focuses on detailed comparison of signatures and parameters to ensure accurate decision-making regarding API alignment strategies.

Does this tool compare function signatures and parameters between PyTorch and Paddle?▼

Yes, this tool compares function signatures and parameters between PyTorch and Paddle. It focuses on detailed comparison of signatures, parameters, and usage patterns across the two libraries to identify discrepancies and ensure accurate compatibility decision-making.

Why do I need an automated tool for PyTorch and Paddle API compatibility analysis?▼

You need an automated tool for API compatibility analysis to facilitate seamless framework migration without manual checks. It automatically identifies discrepancies in API implementations, ensuring accurate decision-making regarding API alignment strategies and compatibility schemes.

Related Skills

Explore More Software Engineering Skills→
AcosmiAcosmi
6

sessions-list

List active sessions with optional filters and pagination.

Community
Intermediate
PaddlePaddlePaddlePaddle
285

python-decorator

Apply Python decorators to unify parameter names and ordering between PyTorch and Paddle APIs.

Official
Intermediate
PaddlePaddlePaddlePaddle
285

pytorch-alignment-validator

Automate PyTorch API validation with pytest and custom test scripts.

Official
Advanced
PaddlePaddlePaddlePaddle
285

api-compatibility

Automate Paddle and PyTorch API synchronization across code, tests, and documentation.

Official
Advanced