%x.1 : Tensor):
    %2 : __torch__.LeNetFeatExtractor = prim::GetAttr[name=&quot;feat&quot;](%self)
    %x.3 : Tensor = prim::CallMethod[name=&quot;forward&quot;](%2, %x.1) # x.py:38:12
    %5 : __torch__.LeNetClassifier = prim::GetAttr[name=&quot;classifer&quot;](%self)
    %x.5 : Tensor = prim::CallMethod[name=&quot;forward&quot;](%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>
</section>
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