pytorch/ignite

Debug mode for ignite

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#1,992 创建于 2021年5月7日

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 (15 评论) (2 反应) (0 负责人)Python (4,313 star) (602 fork)batch import
enhancementhelp wanted

描述

🚀 Feature

The idea is to provide a debug mode as discussed here: https://github.com/pytorch/ignite/issues/1989#issuecomment-833643158.

All the possible options can be discussed here. We could add an helper to track the workflow of handlers from the engine run. On the other hand, some specific debug tools are needed to track the values of PyTorch objects (LR, loss, grads, etc.). Note that the preferred way to extend ignite is handlers' design so let's create a new set of tools for the debugging.

贡献者指南

技术栈
python
领域
machine learningdeveloper experience
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
PythonPyTorchIgniteDebugging
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
50
研究方向
Review the referenced discussion in issue #1989 for context on the desired debug features. Analyze the Ignite handler pattern to design a debug handler that logs PyTorch objects like loss and gradients. Consider creating a separate module for debugging tools that can be attached to the engine. The implementation should follow the existing handler design to maintain consistency.