monai.losses.dice — MONAI 1.0.1 Documentation

WebNov 25, 2024 · 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! Web数据是官方的数据，代码也是，但是在运行train文件时，出现属性错误，'NoneType' object has no attribute 'backward' 报错如下 Traceback (most recent call last): File "train.py", line 244, in do_train() File "train.py", line 216, in do_train loss.backward() AttributeError: 'NoneType' object has no attribute 'backward' sightsational fiber optic tree

WebMar 21, 2024 · In the below code snippet, when I try and iterate through model.parameters() in order to obtain the param.grad data, I get a AttributeError: ‘NoneType’ object has no attribute ‘data’ signifying that the backward pass, which is done via the loss.backward() did not store the gradient. This code worked for BERT and Electra, so not sure why it’s … Web3 Answers. You're not subclassing nn.Module. It should look like this: class Net (nn.Module): def __init__ (self): super ().__init__ () This allows your network to inherit all the properties of the nn.Module class, such as the parameters attribute. You may have a spelling problem and you should look to Net which parameters has. WebNLLLoss. class torch.nn.NLLLoss(weight=None, size_average=None, ignore_index=- 100, reduce=None, reduction='mean') [source] The negative log likelihood loss. It is useful to train a classification problem with C classes. If provided, the optional argument weight should be a 1D Tensor assigning weight to each of the classes. sights around salt lake city