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Update getting_started_with_fx_path.rst (#1184)
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docsrc/tutorials/getting_started_with_fx_path.rst

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@@ -30,7 +30,9 @@ Installation
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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
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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``.
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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``.
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* **Step 1: Trace the model with acc_tracer**
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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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