wehub-resource-sync
56 lines
2.1 KiB
Markdown
56 lines
2.1 KiB
Markdown
# Title
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Title Example: paddle.io.dataset Design Document
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| API Name | New API Name |
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| Author(s)<input type="checkbox" class="rowselector hidden"> | Li Qiang, Zhang Ming |
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| Submitted Date<input type="checkbox" class="rowselector hidden"> | 2022-03-01 |
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| Version | Version number of this design document, e.g. V1.0 |
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| PaddlePaddle Version Dependency<input type="checkbox" class="rowselector hidden"> | Development should be based on develop version unless otherwise specified |
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| File Name | Name of submitted markdown design document, e.g.: 20200301_api_design_for_dataset.md<br> |
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# 1. Overview
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## 1.1 Related Background
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Describe development background and motivation for this API. Include relevant issue links if applicable.
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## 1.2 Objectives
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## 1.3 Significance
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Elaborate on the impact and importance of this upgrade.
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# 2. Current Status of PaddlePaddle
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Investigation of PaddlePaddle's current support for this functionality, including:
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- Existing alternatives or workarounds
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- Possible combinations of other APIs to achieve similar functionality
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# 3. Industry Solution Research
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Survey of implementations in other deep learning frameworks (TensorFlow, PyTorch, NumPy, etc.), covering:
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- Current industry practices
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- Emerging trends
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# 4. Comparative Analysis
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Evaluation and comparison of solutions from Section 3, analyzing pros/cons of each approach.
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# 5. Design and Implementation
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## 5.1 Naming and Parameter Design
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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)
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## 5.2 Underlying OP Design
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## 5.3 API Implementation
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# 6. Testing and Acceptance Criteria
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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)
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# 7. Feasibility Analysis and Timeline
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Development timeline with key milestones.
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# 8. Impact Assessment
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Open questions, controversial issues, and potential impacts on other modules.
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# Glossary
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# Attachments and References
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