@@ -612,20 +612,6 @@ Welcome to PyTorch Tutorials
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:link: advanced/static_quantization_tutorial.html
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:tags: Quantization
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- .. customcarditem ::
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- :header: Grokking PyTorch Intel CPU Performance from First Principles
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- :card_description: A case study on the TorchServe inference framework optimized with Intel® Extension for PyTorch.
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- :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
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- :link: intermediate/torchserve_with_ipex
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- :tags: Model-Optimization,Production
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-
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- .. customcarditem ::
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- :header: Grokking PyTorch Intel CPU Performance from First Principles (Part 2)
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- :card_description: A case study on the TorchServe inference framework optimized with Intel® Extension for PyTorch (Part 2).
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- :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
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- :link: intermediate/torchserve_with_ipex_2
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- :tags: Model-Optimization,Production
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-
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.. customcarditem ::
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:header: Multi-Objective Neural Architecture Search with Ax
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:card_description: Learn how to use Ax to search over architectures find optimal tradeoffs between accuracy and latency.
@@ -1071,8 +1057,6 @@ Additional Resources
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intermediate/dynamic_quantization_bert_tutorial
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intermediate/quantized_transfer_learning_tutorial
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advanced/static_quantization_tutorial
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- intermediate/torchserve_with_ipex
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- intermediate/torchserve_with_ipex_2
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intermediate/nvfuser_intro_tutorial
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intermediate/ax_multiobjective_nas_tutorial
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intermediate/torch_compile_tutorial
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