# 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](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/dev_guides/api_contributing_guides/api_design_guidelines_standard_cn.html) ## 5.2 Underlying OP Design ## 5.3 API Implementation # 6. Testing and Acceptance Criteria Reference: [New API Testing and Acceptance Standards](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/dev_guides/api_contributing_guides/api_accpetance_criteria_cn.html) # 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