def METHOD_NAME(self):
    for m in self.modules():
        if isinstance(m, nn.Conv2d):
            init.kaiming_normal_(m.weight, mode="fan_out")
            if m.bias is not None:
                init.constant_(m.bias, 0)
        elif isinstance(m, nn.BatchNorm2d):
            init.constant_(m.weight, 1)
            init.constant_(m.bias, 0)
        elif isinstance(m, nn.Linear):
            init.normal_(m.weight, std=0.001)
            if m.bias is not None:
                init.constant_(m.bias, 0)