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您好,在我阅读train_net.py的代码过程中,没有找到该算法涉及评估生成数据的贡献来决定是否接纳或舍弃这些生成数据的部分。在 do_train 中,mapper被加入了 DatasetMapper 类被用来粘贴生成数据集,但并没有找到显示体现判断粘贴的数据贡献的部分,之后直接使用dataloader加载数据,进行训练,更新了模型的参数,之后返回主函数并在主函数中调用 return do_test 函数进行测试。同样我也没有在主函数中找到评估生成数据贡献的代码体现。想请问,这部分关于生成数据贡献评估的代码体现在哪里呢
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您好,在我阅读train_net.py的代码过程中,没有找到该算法涉及评估生成数据的贡献来决定是否接纳或舍弃这些生成数据的部分。在 do_train 中,mapper被加入了 DatasetMapper 类被用来粘贴生成数据集,但并没有找到显示体现判断粘贴的数据贡献的部分,之后直接使用dataloader加载数据,进行训练,更新了模型的参数,之后返回主函数并在主函数中调用 return do_test 函数进行测试。同样我也没有在主函数中找到评估生成数据贡献的代码体现。想请问,这部分关于生成数据贡献评估的代码体现在哪里呢
The text was updated successfully, but these errors were encountered: