pytorch/examples

add support for mock data input to imagenet example

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#194 创建于 2017年8月7日

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 (1 评论) (0 反应) (0 负责人)Python (21,634 star) (9,429 fork)batch import
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描述

in order to test the performance conveniently, especially distributed training, it would be great to add an option to allow mock data input, which means directly random some data in program as input.

贡献者指南

技术栈
python
领域
machine learningtestingperformance
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。
half day
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。
clear
前置要求
Basic PythonBasic PyTorchUnderstand imagenet example
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。
70
研究方向
Examine the imagenet example code, likely in `main.py`, to locate the data loading section. Add an option (e.g., ` mock data`) that generates random tensors as input instead of loading from disk. Ensure the mock data is consistent across distributed processes by using the same random seed. Review the single comment on the issue (if any) for additional context or requirements. Test the changes with a dummy run to confirm functionality.
add support for mock data input to imagenet example · pytorch/examples#194 | Good First Issue