| Category | Topics |
|---|---|
|
31837
|
|
C++Topics related to the C++ Frontend, C++ API or C++ Extensions
|
1857
|
torch.package / torch::deploythis 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…
|
55
|
autogradA category of posts relating to the autograd engine itself.
|
4732
|
deploymentA category of posts focused on production usage of PyTorch. Mobile deployment is out of scope for this category (for now… )
|
440
|
visionTopics related to either pytorch/vision or vision research related topics
|
9726
|
dataTopics related to DataLoader, Dataset, torch.utils.data, pytorch/data, and TorchArrow.
|
309
|
|
1383
|
|
|
35
|
|
|
59
|
|
|
130
|
|
jitA category for TorchScript and the PyTorch JIT compiler
|
706
|
OpacusThis category is for topics related to either pytorch/opacus or general differential privacy related topics.
|
56
|
reinforcement-learningA section to discuss RL implementations, research, problems
|
477
|
quantizationThis category is for questions, discussion and issues related to PyTorch’s quantization feature.
|
543
|
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 . |
68
|
nlpTopics related to Natural Language Processing
|
2098
|
PyTorch LivePyTorch Live - toolkit for building AI-powered mobile apps in minutes
|
40
|
windowsThis category is focused on PyTorch on Windows related issues.
|
106
|
mpsThis category is for any question related to MPS support on Apple hardware (both M1 and x86 with AMD machines).
|
36
|
MobileThis category is dedicated for iOS and Android issues, new features and general discussion of PyTorch Mobile.
|
286
|
|
118
|
|
torchxTorchX 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.
|
4
|
glowThis category is for the Glow neural network accelerator compiler: https://github.com/pytorch/glow
|
127
|
|
250
|
|
Site FeedbackDiscussion about this site, its organization, how it works, and how we can improve it.
|
83
|
|
23
|
|
projectsTell the community how you’re using PyTorch!
|
68
|
|
20
|
|
|
38
|
|
|
47
|
|
xlaThis category is to discuss xla/TPU related issues.
|
18
|
FAQThe FAQ category contains commonly-asked questions and their answers. Please refer to this section before you post your query.
|
4
|
hackathonUse this category to discuss ideas about the PyTorch Global and local Hackathons.
|
8
|