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Update getting_started_with_fx_path.rst
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docsrc/tutorials/getting_started_with_fx_path.rst

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@@ -92,7 +92,7 @@ Explicit batch is the default mode and it must be set for dynamic shape. For mos
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For examples of the last path, if we have a 3D tensor t shaped as (batch, sequence, dimension), operations such as torch.transpose(0, 2). If any of these three are not satisfied, we’ll need to specify InputTensorSpec as inputs with dynamic range.
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.. code-block:: shell
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import deeplearning.trt.fx2trt.converter.converters
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from torch.fx.experimental.fx2trt.fx2trt import InputTensorSpec, TRTInterpreter

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