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请问是用uskd_loss()损失来代替任务中的nn.CrossEntropyLoss()交叉熵损失吗? 比如: loss_id = criterion_id(logits , labels) 换为 loss_id = self.uskd_loss(fea_mid, logits , labels)
还是直接加上uskd_loss() 就可以了?
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请问是用uskd_loss()损失来代替任务中的nn.CrossEntropyLoss()交叉熵损失吗?
比如:
loss_id = criterion_id(logits , labels) 换为 loss_id = self.uskd_loss(fea_mid, logits , labels)
还是直接加上uskd_loss() 就可以了?
The text was updated successfully, but these errors were encountered: