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Hi,完成超网训练后,发现保存的模型是task粒度的,即每个任务的模型目录下保存了一个模型。与extract_task_specific_model.py中展示的超网模型的参数结构有所不同,请问下,是否有一个额外的整合所有task模型的过程?如有,可否提供下整合的流程或者代码? 非常期待您的解答~
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@Audi16 想问下超网训练用自己的数据集嘛
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您好,关于ufo训练代码,有一些疑问可以咨询一下嘛,我看完代码后觉得中间有部分是不是有错误啊?
环境是只用安装request里面就可以么?能不能用一张卡训练一个小一点的下游任务
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Hi,完成超网训练后,发现保存的模型是task粒度的,即每个任务的模型目录下保存了一个模型。与extract_task_specific_model.py中展示的超网模型的参数结构有所不同,请问下,是否有一个额外的整合所有task模型的过程?如有,可否提供下整合的流程或者代码?
非常期待您的解答~
The text was updated successfully, but these errors were encountered: