PyTorch Prototype Recipes
---------------------------------------------
Prototype features are not available as part of binary distributions like PyPI or Conda (except maybe behind run-time flags). To test these features we would, depending on the feature, recommend building from master or using the nightly wheels that are made available on `pytorch.org <https://pytorch.org>`_.

*Level of commitment*: We are committing to gathering high bandwidth feedback only on these features. Based on this feedback and potential further engagement between community members, we as a community will decide if we want to upgrade the level of commitment or to fail fast.


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.. Quantization

.. customcarditem::
   :header: FX Graph Mode Quantization User Guide
   :card_description: Learn about FX Graph Mode Quantization.
   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
   :link: ../prototype/fx_graph_mode_quant_guide.html
   :tags: FX,Quantization

.. customcarditem::
   :header: FX Graph Mode Post Training Dynamic Quantization
   :card_description: Learn how to do post training dynamic quantization in graph mode based on torch.fx. 
   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
   :link: ../prototype/fx_graph_mode_ptq_dynamic.html
   :tags: FX,Quantization

.. customcarditem::
   :header: FX Graph Mode Post Training Static Quantization
   :card_description: Learn how to do post training static quantization in graph mode based on torch.fx. 
   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
   :link: ../prototype/fx_graph_mode_ptq_static.html
   :tags: FX,Quantization

.. customcarditem::
   :header: Graph Mode Dynamic Quantization on BERT
   :card_description: Learn how to do post training dynamic quantization with graph mode quantization on BERT models.
   :image: ../_static/img/thumbnails/cropped/graph-mode-dynamic-bert.png
   :link: ../prototype/graph_mode_dynamic_bert_tutorial.html
   :tags: Text,Quantization

.. customcarditem::
   :header: PyTorch Numeric Suite Tutorial
   :card_description: Learn how to use the PyTorch Numeric Suite to support quantization debugging efforts.
   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
   :link: ../prototype/numeric_suite_tutorial.html
   :tags: Debugging,Quantization

.. Mobile

.. customcarditem::
   :header: Use iOS GPU in PyTorch
   :card_description: Learn how to run your models on iOS GPU.
   :image: ../_static/img/thumbnails/cropped/ios.png
   :link: ../prototype/ios_gpu_workflow.html
   :tags: Mobile

.. customcarditem::
   :header: Convert MobileNetV2 to NNAPI
   :card_description: Learn how to prepare a computer vision model to use Android’s Neural Networks API (NNAPI).
   :image: ../_static/img/thumbnails/cropped/android.png
   :link: ../prototype/nnapi_mobilenetv2.html
   :tags: Mobile

.. customcarditem::
   :header: PyTorch Vulkan Backend User Workflow
   :card_description: Learn how to use the Vulkan backend on mobile GPUs.
   :image: ../_static/img/thumbnails/cropped/android.png
   :link: ../prototype/vulkan_workflow.html
   :tags: Mobile

.. customcarditem::
   :header: Lite Interpreter Workflow in Android and iOS
   :card_description: Learn how to use the lite interpreter on iOS and Andriod devices.
   :image: ../_static/img/thumbnails/cropped/mobile.png
   :link: ../prototype/lite_interpreter.html
   :tags: Mobile

.. TorchScript

.. customcarditem::
   :header: Model Freezing in TorchScript
   :card_description: Freezing is the process of inlining Pytorch module parameters and attributes values into the TorchScript internal representation.
   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
   :link: ../prototype/torchscript_freezing.html
   :tags: TorchScript

.. vmap

.. customcarditem::
   :header: Using torch.vmap
   :card_description: Learn about torch.vmap, an autovectorizer for PyTorch operations.
   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
   :link: ../prototype/vmap_recipe.html
   :tags: vmap

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.. Page TOC
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.. toctree::
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   prototype/fx_graph_mode_quant_guide.html
   prototype/fx_graph_mode_ptq_dynamic.html
   prototype/fx_graph_mode_ptq_static.html
   prototype/graph_mode_dynamic_bert_tutorial.html
   prototype/ios_gpu_workflow.html
   prototype/nnapi_mobilenetv2.html
   prototype/numeric_suite_tutorial.html
   prototype/torchscript_freezing.html
   prototype/vmap_recipe.html
   prototype/vulkan_workflow.html
   prototype/lite_interpreter.html