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【PaddlePaddle Hackathon 2】113、深度体验飞桨分布式训练功能,并产出一份评估报告
【PaddlePaddle Hackathon 2】113、深度体验飞桨单机转分布式训练全流程,并产出一份评估报告
Mar 15, 2022
Since you haven't replied for more than a year, we have closed this issue/pr.
If the problem is not solved or there is a follow-up one, please reopen it at any time and we will continue to follow up.
由于您超过一年未回复,我们将关闭这个issue/pr。
若问题未解决或有后续问题,请随时重新打开,我们会继续跟进。
(此 ISSUE 为 PaddlePaddle Hackathon 第二期活动的任务 ISSUE,更多详见 【PaddlePaddle Hackathon 第二期】任务总览)
【任务说明】
任务标题:深度体验飞桨单机转分布式训练全流程,并产出一份评估报告
技术标签:PaddlePaddle、分布式
任务难度:中等
详细描述:飞桨框架于 2.0 正式版全面支持了动态图训练,并在2.1、2.2 两个大版本中不断完善分布式能力,同时大幅增强了训练功能。在本任务中,我们希望能收到你对于飞桨动态图分布式训练功能的使用感受,可以与其他深度学习框架做功能对比,并产出一份对应的评估报告。
https://fleet-x.readthedocs.io/en/latest/paddle_fleet_rst/collective/collective_quick_start.html#collective
【提交内容】
从单机单卡训练转为分布式数据并行训练需要如下步骤:
【技术要求】
【答疑交流】
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