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4 changes: 3 additions & 1 deletion docsrc/tutorials/getting_started_with_fx_path.rst
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Expand Up @@ -30,7 +30,9 @@ Installation

Converting a PyTorch Model to TensorRT Engine
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We will go through an example to illustrate the major steps that FX path uses to
In general, users are welcome to use the ``lower_to_trt()`` to finish the conversion from a model to tensorRT engine. It is a wrapper API that consists of the major steps needed to finish this converison. Please refer to ``lower_example.py`` file in ``examples/fx``.

In this section, we will go through an example to illustrate the major steps that FX path uses. Users can refer to ``fx2trt_example.py`` file in ``examples/fx``.

* **Step 1: Trace the model with acc_tracer**
Acc_tracer is a tracer inheritated from FX tracer. It comes with args normalizer to convert all args to kwargs and pass to TRT converters.
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