Context Prior Map's shape is different from Ideal Affinity Map in code?

[dddzhzzz]

File "D:\New_Era_Project\Local_similarity_project\mmseg\models\decode_heads\cp_head.py", line 235, in losses prior_loss = self.loss_prior_decode( File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "D:\New_Era_Project\Local_similarity_project\mmseg\models\losses\affinity_loss.py", line 126, in forward unary_term = self.cls_criterion( File "D:\New_Era_Project\Local_similarity_project\mmseg\models\losses\affinity_loss.py", line 83, in binary_cross_entropy loss = F.binary_cross_entropy( File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\functional.py", line 3074, in binary_cross_entropy raise ValueError( ValueError: Using a target size (torch.Size([64, 64, 64])) that is different to the input size (torch.Size([1, 4096, 4096])) is deprecated. Please ensure they have the same size.