FaceResNet arch is different from the referenced paper?

[f-izzat]

Looking at the code, why is there an SE module and why was it not referenced in the DocFace paper?, From my limited understanding of tf-slim, does the following

            with slim.arg_scope([slim.batch_norm, slim.dropout], is_training=phase_train):
                print('input shape:', [dim.value for dim in images.shape])
                
                net = conv_module(images, 0, [32, 64], scope='conv1')
                print('module_1 shape:', [dim.value for dim in net.shape])

                net = conv_module(net, 2, [64, 128], scope='conv2')
                print('module_2 shape:', [dim.value for dim in net.shape])

                net = conv_module(net, 4, [128, 256], scope='conv3')
                print('module_3 shape:', [dim.value for dim in net.shape])

                net = conv_module(net, 10, [256, 512], scope='conv4')
                print('module_4 shape:', [dim.value for dim in net.shape])

                net = conv_module(net, 6, [512], scope='conv5')
                print('module_5 shape:', [dim.value for dim in net.shape])

actually use batch_norm and dropout in the model at all? How does the model know when and where to create the mentioned layers?