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`torchao <https://github.com/pytorch/ao>`__ is a library for custom data types & optimizations. Quantize and sparsify weights, gradients, optimizers & activations for inference and training using native PyTorch. Please checkout torchao `README <https://github.com/pytorch/ao#torchao-pytorch-architecture-optimization>`__ for an overall introduction to the library and recent highlight and updates. The documentation here will focus on:
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`torchao <https://github.com/pytorch/ao>`__ is a library for custom data types and optimizations.
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Quantize and sparsify weights, gradients, optimizers, and activations for inference and training
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using native PyTorch. Please checkout torchao `README <https://github.com/pytorch/ao#torchao-pytorch-architecture-optimization>`__
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for an overall introduction to the library and recent highlight and updates.
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1. API Reference
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2. Developer Contribution Guide
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3. Tutorials
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..
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.. grid:: 3
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.. grid-item-card:: :octicon:`file-code;1em`
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Getting Started
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:img-top: _static/img/card-background.svg
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:link: getting-started.html
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:link-type: url
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Learn about how to get started with torchao
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and ts application in your projects.
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.. grid-item-card:: :octicon:`file-code;1em`
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Concepts
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:img-top: _static/img/card-background.svg
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:link: dtypes.html
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:link-type: url
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Learn about the key torchao concepts such
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as dtypes, quantization, sparsity, among others.
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.. grid-item-card:: :octicon:`file-code;1em`
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API Reference
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:img-top: _static/img/card-background.svg
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:link: api_ref_intro.html
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:link-type: url
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A comprehensive reference for the torchao
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API and its functionalities.
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Tutorials
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~~~~~~~~~
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Ready to experiment? Check out some of the
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torchao tutorials.
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.. customcardstart::
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.. customcarditem::
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:header: Template Tutorial
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:card_description: A placeholder template for demo purposes
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