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clean up the legacy Hugectr inference example with HugeCTR Triton Bac… (
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#1081)

* clean up the legacy Hugectr inference example with HugeCTR Triton Backeend

* Remove the related doc entry

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Co-authored-by: yingcanw <[email protected]>
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EmmaQiaoCh and yingcanw authored Nov 23, 2023
1 parent 71d8f44 commit 4b67f13
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6 changes: 1 addition & 5 deletions docs/source/toc.yaml
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Expand Up @@ -24,8 +24,6 @@ subtrees:
title: Training with TensorFlow
- file: examples/getting-started-movielens/03-Training-with-PyTorch.ipynb
title: Training with PyTorch
- file: examples/getting-started-movielens/04-Triton-Inference-with-HugeCTR.ipynb
title: Serving the HugeCTR Model with Triton
- file: examples/getting-started-movielens/04-Triton-Inference-with-TF.ipynb
title: Serving the TensorFlow Model with Triton
- file: examples/Building-and-deploying-multi-stage-RecSys/index.md
Expand All @@ -48,9 +46,7 @@ subtrees:
title: Training with HugeCTR
- file: examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.ipynb
title: Training with Merlin Models and TensorFlow
- file: examples/scaling-criteo/04-Triton-Inference-with-HugeCTR.ipynb
title: Deploy the HugeCTR Model with Triton
- file: examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.ipynb
title: Deploy the TensorFlow Model with Triton
- file: containers.rst
- file: support_matrix/index.rst
- file: support_matrix/index.rst
2 changes: 1 addition & 1 deletion examples/README.md
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Expand Up @@ -39,7 +39,7 @@ These notebooks demonstrate how to scale NVTabular as well as the following:
- Use multiple GPUs and nodes with NVTabular for feature engineering.
- Train recommender system models with the Merlin Models for TensorFlow.
- Train recommender system models with HugeCTR using multiple GPUs.
- Inference with the Triton Inference Server and Merlin Models for TensorFlow or HugeCTR.
- Inference with the Triton Inference Server and Merlin Models for TensorFlow.

### [Training and Serving with Merlin on AWS SageMaker](./sagemaker-tensorflow/)

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