flip in face_deploy_mirror_normalize.prototxt doesn't work properly

[robosina]

I set an image to AMSoftmax, which net prototxt is (face_deploy_mirror_normalize.prototxt) and weight is (your pretrained weights) . after loading weights I put an image to net input and run forward() method on it. Then I wanted to explore how the flip layer works but after plot the output of flip_data blobs I see something goes wrong, the flip layer has flipped data vertically(I mean up down) !! is it Okay?
result of code:

The code is something like below:

net=caffe.Net(
        'face_deploy_mirror_normalize.prototxt',
        'face_train_test_iter_30000.caffemodel',
        caffe.TEST);

def return_layer_name(layer_name,i):
    output=net.blobs[layer_name].data[i]
    output=np.swapaxes(output,0,2)
    return output


img=caffe.io.load_image('Anthony_Hopkins_0002.jpg')
img=caffe.io.resize(img,(96,112))
img=np.expand_dims(img,0)
img=np.swapaxes(img,1,3)
net.blobs['data'].data[...]=img
net.forward()
output=net.blobs['norm1'].data[0]
out1=return_layer_name('data_input_0_split_0',0)
out2=return_layer_name('flip_data',0)
fig = plt.figure(figsize=(15,15))
plt.subplot(1,2,1)
plt.imshow(out1)
plt.subplot(1,2,2)
plt.imshow(out2)