Unstable
========
API unstable 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 PyTorch
from source (main) 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.
.. raw:: html
<div id="tutorial-cards-container">
<nav class="navbar navbar-expand-lg navbar-light tutorials-nav col-12">
<div class="tutorial-tags-container">
<div id="dropdown-filter-tags">
<div class="tutorial-filter-menu">
<div class="tutorial-filter filter-btn all-tag-selected" data-tag="all">All</div>
</div>
</div>
</div>
</nav>
<hr class="tutorials-hr">
<div class="row">
<div id="tutorial-cards">
<div class="list">
.. Add prototype tutorial cards below this line
.. 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: unstable/vmap_recipe.html
:tags: vmap
.. NestedTensor
.. customcarditem::
:header: Nested Tensor
:card_description: Learn about nested tensors, the new way to batch heterogeneous-length data
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/nestedtensor.html
:tags: NestedTensor
.. MaskedTensor
.. customcarditem::
:header: MaskedTensor Overview
:card_description: Learn about masked tensors, the source of truth for specified and unspecified values
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/maskedtensor_overview.html
:tags: MaskedTensor
.. customcarditem::
:header: Masked Tensor Sparsity
:card_description: Learn about how to leverage sparse layouts (e.g. COO and CSR) in MaskedTensor
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/maskedtensor_sparsity.html
:tags: MaskedTensor
.. customcarditem::
:header: Masked Tensor Advanced Semantics
:card_description: Learn more about Masked Tensor's advanced semantics (reductions and comparing vs. NumPy's MaskedArray)
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/maskedtensor_advanced_semantics.html
:tags: MaskedTensor
.. customcarditem::
:header: MaskedTensor: Simplifying Adagrad Sparse Semantics
:card_description: See a showcase on how masked tensors can enable sparse semantics and provide for a cleaner dev experience
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/maskedtensor_adagrad.html
:tags: MaskedTensor
.. Model-Optimization
.. customcarditem::
:header: Inductor Cpp Wrapper Tutorial
:card_description: Speed up your models with Inductor Cpp Wrapper
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/inductor_cpp_wrapper_tutorial.html
:tags: Model-Optimization
.. customcarditem::
:header: Inductor Windows CPU Tutorial
:card_description: Speed up your models with Inductor On Windows CPU
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/inductor_windows.html
:tags: Model-Optimization
.. customcarditem::
:header: Use max-autotune compilation on CPU to gain additional performance boost
:card_description: Tutorial for max-autotune mode on CPU to gain additional performance boost
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/max_autotune_on_CPU_tutorial.html
:tags: Model-Optimization
.. Distributed
.. customcarditem::
:header: Flight Recorder Tutorial
:card_description: Debug stuck jobs easily with Flight Recorder
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/flight_recorder_tutorial.html
:tags: Distributed, Debugging, FlightRecorder
.. customcarditem::
:header: Context Parallel Tutorial
:card_description: Parallelize the attention computation along sequence dimension
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/context_parallel.html
:tags: Distributed, Context Parallel
.. Integration
.. customcarditem::
:header: Out-of-tree extension autoloading in Python
:card_description: Learn how to improve the seamless integration of out-of-tree extension with PyTorch based on the autoloading mechanism.
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/python_extension_autoload.html
:tags: Extending-PyTorch, Frontend-APIs
.. GPUDirect Storage
.. customcarditem::
:header: (prototype) Using GPUDirect Storage
:card_description: Learn how to use GPUDirect Storage in PyTorch.
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: unstable/gpu_direct_storage.html
:tags: GPUDirect-Storage
.. End of tutorial card section
.. -----------------------------------------
.. Page TOC
.. -----------------------------------------
.. toctree::
:maxdepth: 2
:hidden:
unstable/context_parallel
unstable/flight_recorder_tutorial
unstable/inductor_cpp_wrapper_tutorial
unstable/inductor_windows
unstable/vmap_recipe
unstable/nestedtensor
unstable/maskedtensor_overview
unstable/maskedtensor_sparsity
unstable/maskedtensor_advanced_semantics
unstable/maskedtensor_adagrad
unstable/python_extension_autoload
unstable/gpu_direct_storage.html
unstable/max_autotune_on_CPU_tutorial
unstable/skip_param_init.html
