2 : __torch__.LeNetFeatExtractor = prim::GetAttr[name="feat"](%self)
    %x.3 : Tensor = prim::CallMethod[name="forward"](%2, %x.1) # x.py:38:12
    %5 : __torch__.LeNetClassifier = prim::GetAttr[name="classifer"](%self)
    %x.5 : Tensor = prim::CallMethod[name="forward"](%5, %x.3) # x.py:39:12
    return (%x.5)
</pre>
        </div>
       </div>
       <p>
        You can see that the IR preserves the module structure we have in our python code.
       </p>
       <span id="ts-in-py">
       </span>
    