关于`classifier.eval()`的疑问

[578223592]

感谢您优秀的工作。 在代码中我看到self.model.classifier.eval()，请问处于什么考量不训练classifier呢？

    def finetune_model(self):
        val1 = True
        val2 = False

        for param in self.model.regressor.parameters():
            param.requires_grad = val1  #
        for param in self.model.offset_regression.parameters():
            param.requires_grad = val1
        for param in self.model.deform_conv2d.parameters():
            param.requires_grad = val1
        for param in self.model.classifier.parameters():
            param.requires_grad = val2
        if val1 == False:
            self.model.regressor.eval() 
            self.model.offset_regression.eval()
            self.model.deform_conv2d.eval()
        if val2 == False:
            self.model.classifier.eval()

[dongkwonjin]

We set to stabilize the training. It is also possible to train the classifier without "eval" mode.

Thank you for your attention. We are sorry for the late reply.