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Jun 17, 2022
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amending triton deployment docs #1126

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3051b0e
ammending triton deployment docs
tanayvarshney Jun 17, 2022
53a8504
amending triton deployment docs
tanayvarshney Jun 17, 2022
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4 changes: 2 additions & 2 deletions docsrc/index.rst
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Expand Up @@ -28,7 +28,7 @@ Getting Started
* :ref:`use_from_pytorch`
* :ref:`runtime`
* :ref:`using_dla`
* :ref:`deploy_torch_tensorrt_to_triton`
* :ref:`serving_torch_tensorrt_with_triton`

.. toctree::
:caption: Getting Started
Expand All @@ -44,7 +44,7 @@ Getting Started
tutorials/use_from_pytorch
tutorials/runtime
tutorials/using_dla
tutorials/deploy_torch_tensorrt_to_triton
tutorials/serving_torch_tensorrt_with_triton

.. toctree::
:caption: Notebooks
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8 changes: 5 additions & 3 deletions ...rials/deploy_torch_tensorrt_to_triton.rst → ...ls/serving_torch_tensorrt_with_triton.rst
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@@ -1,5 +1,7 @@
Deploying a Torch-TensorRT model (to Triton)
============================================
.. _serving_torch_tensorrt_with_triton:

Serving a Torch-TensorRT model with Triton
==========================================

Optimization and deployment go hand in hand in a discussion about Machine
Learning infrastructure. Once network level optimzation are done
Expand Down Expand Up @@ -210,5 +212,5 @@ The output of the same should look like below:
b'8.234375:11']

The output format here is ``<confidence_score>:<classification_index>``.
To learn how to map these to the label names and more, refer to our
To learn how to map these to the label names and more, refer to Triton Inference Server's
`documentation <https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_classification.md>`__.