WebMar 14, 2024 · 这个错误是在告诉你,使用`torch.nn.functional.binary_cross_entropy`或`torch.nn.BCELoss`计算二元交叉熵损失是不安全的。它建议你使用`torch.nn.functional.binary_cross_entropy_with_logits`或`torch.nn.BCEWithLogitsLoss`来代替。 在使用二元交叉熵损失的时候,通常需要在计算交叉熵损失之前 ... Webimport torch. nn. functional as F def focal_loss ( labels , logits , alpha , gamma ): """Compute the focal loss between `logits` and the ground truth `labels`.
torch.nn.utils.rnn.pack_padded_sequence - CSDN文库
WebJan 30, 2024 · Many models use a sigmoid layer right before the binary cross entropy layer. In this case, combine the two layers using torch.nn.functional.binary_cross_entropy_with_logits or torch.nn.BCEWithLogitsLoss. binary_cross_entropy_with_logits and BCEWithLogits are safe to autocast. WebMar 8, 2010 · Hi @liergou99,. You either need to add a sigmoid activation function (or other squashing function with a range of [0,1]) or keep the model as is and use the BCEWithLogitsLoss loss function.. Either way you do it your targets will … csharp list of strings
Cross Entropy Loss in PyTorch - Sparrow Computing
WebMar 14, 2024 · 这个错误是在告诉你,使用`torch.nn.functional.binary_cross_entropy`或`torch.nn.BCELoss`计算二元交叉熵损失是不安全的。它建议你使用`torch.nn.functional.binary_cross_entropy_with_logits`或`torch.nn.BCEWithLogitsLoss`来代替。 在使用二元交叉熵损失的时候,通常需要在计算交叉熵损失之前 ... WebSep 26, 2024 · [1,0]: return F.binary_cross_entropy(input, target, weight=self.weight, reduction=self.reduction) ... [1,0]:NotImplementedError: [1,0]:amp does not work out-of-the-box with F.binary_cross_entropy or torch.nn.BCELoss. It requires that the output of the previous function be already a FloatTensor. [1,0]: [1,0]:Most models have a Sigmoid right ... Webmmseg.models.losses.cross_entropy_loss 源代码. # Copyright (c) OpenMMLab. All rights reserved. import warnings import torch import torch.nn as nn import torch.nn ... ead after biometrics eb2