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请问在计算自监督loss的时候,局部互信息的部分为何是local_loss = paddle.sum(-paddle.log(F.sigmoid(pos - neg1)) -paddle.log(F.sigmoid(neg1 - neg2)))?为什么不是pos-neg2而是neg1-neg2?
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请问在计算自监督loss的时候,局部互信息的部分为何是local_loss = paddle.sum(-paddle.log(F.sigmoid(pos - neg1)) -paddle.log(F.sigmoid(neg1 - neg2)))?为什么不是pos-neg2而是neg1-neg2?
The text was updated successfully, but these errors were encountered: