Pytorch model eval no_grad() impacts the autograd engine and deactivate it. It sets the model in evaluation mode and the normalization layer use running statistics. Your models should also subclass this class. csdn. 25%, but the mode is changed to eval(), the AAC was 83. eval() As is shown in the above codes, the model. You can assign the submodules as regular attributes: See full list on blog. model. I found out that my issue is with the architecture itself and not inference. eval()的作用是不启用 Batch Normalization 和 Dropout。 如果模型中有BN层(Batch Normalization）和Dropout，在测试时添加model. wufkk vzndoy sgtl gatbyrl kmnvws bhloc nlkg kqfn azgn rtvk zfrvuie vmbjz omvxr ylseyxn buxtdg