paddlepaddle--paddlenlp/docs/en/community/rfcs/api_design_template.md

Title

Title Example: paddle.io.dataset Design Document

API Name	New API Name
Author(s)	Li Qiang, Zhang Ming
Submitted Date	2022-03-01
Version	Version number of this design document, e.g. V1.0
PaddlePaddle Version Dependency	Development should be based on develop version unless otherwise specified
File Name	Name of submitted markdown design document, e.g.: 20200301_api_design_for_dataset.md

1. Overview

1.1 Related Background

Describe development background and motivation for this API. Include relevant issue links if applicable.

1.2 Objectives

1.3 Significance

Elaborate on the impact and importance of this upgrade.

2. Current Status of PaddlePaddle

Investigation of PaddlePaddle's current support for this functionality, including:

• Existing alternatives or workarounds
• Possible combinations of other APIs to achieve similar functionality

3. Industry Solution Research

Survey of implementations in other deep learning frameworks (TensorFlow, PyTorch, NumPy, etc.), covering:

• Current industry practices
• Emerging trends

4. Comparative Analysis

Evaluation and comparison of solutions from Section 3, analyzing pros/cons of each approach.

5. Design and Implementation

5.1 Naming and Parameter Design

Reference: PaddlePaddle API Design and Naming Guidelines

5.2 Underlying OP Design

5.3 API Implementation

6. Testing and Acceptance Criteria

Reference: New API Testing and Acceptance Standards

7. Feasibility Analysis and Timeline

Development timeline with key milestones.

8. Impact Assessment

Open questions, controversial issues, and potential impacts on other modules.

Glossary

Attachments and References