Error using BceDiceLoss, please help me

[WangZhi-wz]

Please help me, I didn't change any configuration and this error occurs when I want to use BceDiceLoss in the code `------ Epoch ------ 1 D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torchvision\transforms\functional.py:991: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum. warnings.warn( D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\functional.py:3631: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. warnings.warn( 0%| | 0/150 [00:03<?, ?it/s] Traceback (most recent call last): File "D:\paperin\Enhanced-U-Net-main\train.py", line 236, in train() File "D:\paperin\Enhanced-U-Net-main\train.py", line 157, in train loss = BceDiceLoss()(output, gt) File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, *kwargs) File "D:\paperin\Enhanced-U-Net-main\utils\loss.py", line 63, in forward fcloss = self.fl(pred, target) File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(input, **kwargs) File "D:\paperin\Enhanced-U-Net-main\utils\loss.py", line 109, in forward ce_loss = F.binary_cross_entropy(inputs, targets, reduction=self.reduction, weight=self.weight) File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\functional.py", line 2905, in binary_cross_entropy if target.size() != input.size(): AttributeError: 'tuple' object has no attribute 'size'

Process finished with exit code 1 `

[ReaFly]

Thanks for your attention. The input of this function should be a tensor, not a tuple. You could covert the tuple to tensors and then use this function.