ns the code and parameters used to run the module stored
in a intermediate representation that Torch-TensorRT can consume.
       </p>
       <p>
        Here is what the LeNet traced module IR looks like:
       </p>
       <div class="highlight-none notranslate">
        <div class="highlight">
         <pre><span></span>graph(%self.1 : __torch__.___torch_mangle_10.LeNet,
    %input.1 : Float(1, 1, 32, 32)):
    %129 : __torch__.___torch_mangle_9.LeNetClassifier = prim::GetAttr[name="classifer"](%self.1)
