pytorch/ignite

More EpochMetric's compute_fn output types

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#1,757 建立於 2021年3月8日

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HacktoberfestPyDataGlobalenhancementhelp wantedmodule: metrics

描述

🚀 Feature

Following https://github.com/pytorch/ignite/pull/1700#issuecomment-787151203 we would like to improve EpochMetric by supporting more output types returned by compute_fn:

  • EpochMetric should work with compute_fn outputs: scalars, tensors, tuple/list/mapping of tensors vs currently only scalars

A code snippet on possible implementation: https://github.com/pytorch/ignite/pull/1700#issuecomment-790413236 (It is not tested and maybe wrong, just an idea of how to do it).

It would be also helpful to raise a more user friendly error message if output type is not supported.

We need to update the docs as well.

If interested in fixing this issue, please leave a comment to assign the issue to you.

貢獻者指南

技術棧
pythonpytorch
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
Familiarity with PyTorchUnderstanding of EpochMetric class
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
60
研究方向
Review the existing implementation of EpochMetric in the ignite codebase (likely in ignite/metrics/epoch metric.py). Understand how compute fn is currently used and the output types it supports. Examine the code snippet in the linked comment for a potential approach. Then implement support for scalars, tensors, and tuple/list/mapping of tensors. Also add a more user friendly error message for unsupported types. Finally, update the documentation to reflect the new capabilities.