Category Topics

projects

Tell the community how you’re using PyTorch!
72

autograd

A category of posts relating to the autograd engine itself.
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32192

C++

Topics related to the C++ Frontend, C++ API or C++ Extensions
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vision

Topics related to either pytorch/vision or vision research related topics
9868

nlp

Topics related to Natural Language Processing
2132

torch.package / torch::deploy

this category is focused on python deployment of PyTorch models and specifically the torch::deploy and torch.package APIs. More can be found at pytorch.org in the docs…
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data

Topics related to DataLoader, Dataset, torch.utils.data, pytorch/data, and TorchArrow.
346

PyTorch Live

PyTorch Live - toolkit for building AI-powered mobile apps in minutes
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deployment

A category of posts focused on production usage of PyTorch. Mobile deployment is out of scope for this category (for now… )
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quantization

This category is for questions, discussion and issues related to PyTorch’s quantization feature.
562

jit

A category for TorchScript and the PyTorch JIT compiler
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windows

This category is focused on PyTorch on Windows related issues.
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Opacus

This category is for topics related to either pytorch/opacus or general differential privacy related topics.
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mps

This category is for any question related to MPS support on Apple hardware (both M1 and x86 with AMD machines).
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reinforcement-learning

A section to discuss RL implementations, research, problems
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Mobile

This category is dedicated for iOS and Android issues, new features and general discussion of PyTorch Mobile.
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torchx

TorchX is an SDK for quickly building and deploying ML applications from R&D to production. It offers various builtin components that encode MLOps best practices and make advanced features like distributed training and hyperparameter optimization accessible to all. Users can get started with TorchX with no added setup cost since it supports popular ML schedulers and pipeline orchestrators that are already widely adopted and deployed in production.
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FX (Functional Transformations)

FX is a toolkit for developers to use to transform nn.Module instances. FX consists of three main components: a symbolic tracer, an intermediate representation , and Python code generation .
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glow

This category is for the Glow neural network accelerator compiler: https://github.com/pytorch/glow
127

Site Feedback

Discussion about this site, its organization, how it works, and how we can improve it.
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xla

This category is to discuss xla/TPU related issues.
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FAQ

The FAQ category contains commonly-asked questions and their answers. Please refer to this section before you post your query.
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hackathon

Use this category to discuss ideas about the PyTorch Global and local Hackathons.
8