message: chore: Doc updates
diff: Creating a TorchScript Module
  ------------------------------
  -Once you have a trained model you want to compile with TRTorch, you need to start by converting that model from Python code to TorchScript code.
  +Once you have a trained model you want to compile with Torch-TensorRT, you need to start by converting that model from Python code to TorchScript code.
  PyTorch has detailed documentation on how to do this https://pytorch.org/tutorials/beginner/Intro_to_TorchScript_tutorial.html but briefly here is the
  here is key background information and the process:
  @@ -82,12 +82,12 @@ include these components. We can run the script compiler on our LeNet module by
  model = LeNet()
  script_model = torch.jit.script(model)
  -There are reasons to use one path or another, the PyTorch documentation has information on how to choose. From a TRTorch prespective, there is
  +There are reasons to use one path or another, the PyTorch documentation has information on how to choose. From a Torch-TensorRT prespective, there is
  better support (i.e your module is more likely to compile) for traced modules because it doesn't include all the complexities of a complete
  programming language, though both paths supported.
  After scripting or tracing your module, you are given back a TorchScript Module. This contains the code and parameters used to run the module stored
  -in a intermediate representation that TRTorch can consume.
  +in a intermediate representation that Torch-TensorRT can consume.
  Here is what the LeNet traced module IR looks like:
  