This would make BCELoss’s backward method nonlinear with respect to x_n xn , and using it for things like linear regression would not be straight-forward. Our solution is that BCELoss clamps its log function outputs to be greater than or equal to -100. This way, we can always have a finite loss value and a linear backward method. Parameters
Hi, I've tried the sigmoid cross entropy to compute the loss. Now I have the loss but it says error: AttributeError: 'tuple' object has no attribute ...
Also, ensure that your network output is in the range 0 to 1 in case you use NLLLoss or BCELoss (then you require softmax or sigmoid activation respectively).
25.11.2020 · 'BCEWithLogitsLoss' object has no attribute 'backward' nlp. svss (Venkata Sai Sukesh Settipalli) November 25, 2020, 5:12pm #1. Hello guys, I’m trying to fine-tune the Bert model i.e., bert-base-uncased for a text classification task. I’m getting a ...
02.05.2017 · Just recently I have upgraded my Torch build from 0.1.11 to 0.1.12. Since I have done so, however, I can't perform a backward pass on a loss object. I get the error: AttributeError: 'BCELoss' object has no attribute 'bac…
25.11.2019 · ysssgdhr commented on Nov 25, 2019 •edited. Hi! create instance of BCELoss and instance of DiceLoss and than use total_loss = bce_loss + dice_loss. Hello author! Your code is beautiful! It's awesome to automatically detect the name of loss with regularization function!
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FloatTensor' object has no attribute 'requires_grad'. It seems simple enough as we should be passing a torch.autograd.Variable, however I am already doing ...