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308 changes: 0 additions & 308 deletions advanced_source/dynamic_quantization_tutorial.py

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33 changes: 0 additions & 33 deletions index.rst
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Expand Up @@ -5,7 +5,6 @@ Welcome to PyTorch Tutorials

* `Utilizing Torch Function modes with torch.compile <https://pytorch.org/tutorials/recipes/torch_compile_torch_function_modes.html>`__
* `Context Parallel Tutorial <https://pytorch.org/tutorials/prototype/context_parallel.html>`__
* `PyTorch 2 Export Quantization with Intel GPU Backend through Inductor <https://pytorch.org/tutorials/prototype/pt2e_quant_xpu_inductor.html>`__
* `(beta) Explicit horizontal fusion with foreach_map and torch.compile <https://pytorch.org/tutorials/recipes/foreach_map.html>`__
* Updated `Inductor Windows CPU Tutorial <https://pytorch.org/tutorials/prototype/inductor_windows.html>`__

Expand Down Expand Up @@ -577,34 +576,6 @@ Welcome to PyTorch Tutorials
:link: advanced/semi_structured_sparse.html
:tags: Text,Model-Optimization

.. customcarditem::
:header: (beta) Dynamic Quantization on an LSTM Word Language Model
:card_description: Apply dynamic quantization, the easiest form of quantization, to a LSTM-based next word prediction model.
:image: _static/img/thumbnails/cropped/experimental-Dynamic-Quantization-on-an-LSTM-Word-Language-Model.png
:link: advanced/dynamic_quantization_tutorial.html
:tags: Text,Quantization,Model-Optimization

.. customcarditem::
:header: (beta) Dynamic Quantization on BERT
:card_description: Apply the dynamic quantization on a BERT (Bidirectional Embedding Representations from Transformers) model.
:image: _static/img/thumbnails/cropped/experimental-Dynamic-Quantization-on-BERT.png
:link: intermediate/dynamic_quantization_bert_tutorial.html
:tags: Text,Quantization,Model-Optimization

.. customcarditem::
:header: (beta) Quantized Transfer Learning for Computer Vision Tutorial
:card_description: Extends the Transfer Learning for Computer Vision Tutorial using a quantized model.
:image: _static/img/thumbnails/cropped/60-min-blitz.png
:link: intermediate/quantized_transfer_learning_tutorial.html
:tags: Image/Video,Quantization,Model-Optimization

.. customcarditem::
:header: (beta) Static Quantization with Eager Mode in PyTorch
:card_description: This tutorial shows how to do post-training static quantization.
:image: _static/img/thumbnails/cropped/60-min-blitz.png
:link: advanced/static_quantization_tutorial.html
:tags: Quantization

.. customcarditem::
:header: Multi-Objective Neural Architecture Search with Ax
:card_description: Learn how to use Ax to search over architectures find optimal tradeoffs between accuracy and latency.
Expand Down Expand Up @@ -1035,10 +1006,6 @@ Additional Resources
beginner/hyperparameter_tuning_tutorial
intermediate/parametrizations
intermediate/pruning_tutorial
advanced/dynamic_quantization_tutorial
intermediate/dynamic_quantization_bert_tutorial
intermediate/quantized_transfer_learning_tutorial
advanced/static_quantization_tutorial
intermediate/nvfuser_intro_tutorial
intermediate/ax_multiobjective_nas_tutorial
intermediate/torch_compile_tutorial
Expand Down
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