        1. trace - use torch.fx to trace the module so we can get the graph</span>
<span class="sd">            representation of the model.</span>
<span class="sd">        2. split - the graph module is split into several submodules,</span>
<span class="sd">            running either via TensorRT, or via regular CUDA.</span>

<span class="sd">    For each split that need to run via TRT, the following passes are</span>
<span class="sd">    invoked:</span>

<span class="sd">        3. `TRTInterpreter` - buil