Update repvgg.py

od/models/backbone/repvgg.py

@@ -137,7 +137,23 @@ def switch_to_pretrained(self):
             self.__delattr__('id_tensor')
         self.pretrained = True
 
-
+    def switch_to_deploy(self):
+        if hasattr(self, 'rbr_reparam'):
+            return
+        kernel, bias = self.get_equivalent_kernel_bias()
+        self.rbr_reparam = nn.Conv2d(in_channels=self.rbr_dense.conv.in_channels, out_channels=self.rbr_dense.conv.out_channels,
+                                     kernel_size=self.rbr_dense.conv.kernel_size, stride=self.rbr_dense.conv.stride,
+                                     padding=self.rbr_dense.conv.padding, dilation=self.rbr_dense.conv.dilation, groups=self.rbr_dense.conv.groups, bias=True)
+        self.rbr_reparam.weight.data = kernel
+        self.rbr_reparam.bias.data = bias
+        for para in self.parameters():
+            para.detach_()
+        self.__delattr__('rbr_dense')
+        self.__delattr__('rbr_1x1')
+        if hasattr(self, 'rbr_identity'):
+            self.__delattr__('rbr_identity')
+        if hasattr(self, 'id_tensor'):
+            self.__delattr__('id_tensor')
 
 class RepVGG(nn.Module):