huggingface/accelerate

Barebones dataloader to allow for any type of iterable dataloader-like object to be used. Should just handle device placement

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#2,975 创建于 2024年7月29日

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 (5 评论) (0 反应) (0 负责人)Python (5,805 star) (626 fork)batch import
good first issue

描述

Make a simplistic version of the DispatchDataLoader which allows for users to easily pass in any Iterable type of object and call it's __iter__. Likely situation to make sure Accelerator knows what's up during prepare is to add an option to the DataLoaderConfiguration for custom_classes which accepts types for us to do isinstance() on

贡献者指南

技术栈
pythonpytorch
领域
machine learning
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。
1-3 hours
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。
active
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
Familiarity with PyTorch DataLoaderUnderstanding of accelerate's DataLoaderConfiguration
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。
40
研究方向
Review existing DispatchDataLoader implementation in accelerate/src/accelerate/data loader.py. Understand the DataLoaderConfiguration class in the same file. Check comments for desired interface. Implement a simple iterable wrapper that handles device placement, and add custom classes option to DataLoaderConfiguration.