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autogradA category of posts relating to the autograd engine itself.
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5925
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38693
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visionTopics related to either pytorch/vision or vision research related topics
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11881
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mpsThis category is for any question related to MPS support on Apple hardware (both M1 and x86 with AMD machines).
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116
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torch.compileA category for
torch.compile and PyTorch 2.0 related compiler issues.This includes: issues around TorchDynamo ( torch._dynamo ), TorchInductor (torch._inductor ) and AOTAutograd |
324
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237
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2254
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windowsThis category is focused on PyTorch on Windows related issues.
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229
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386
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quantizationThis category is for questions, discussion and issues related to PyTorch’s quantization feature.
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856
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dataTopics related to DataLoader, Dataset, torch.utils.data, pytorch/data, and TorchArrow.
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1046
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nlpTopics related to Natural Language Processing
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2724
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OpacusPlease redirect your questions to https://github.com/pytorch/opacus; we are not able to provide any guarantee on response time to Opacus questions on the PyTorch forums.
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115
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C++Topics related to the C++ Frontend, C++ API or C++ Extensions
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2520
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ExecuTorchA category of posts relating to ExecuTorch.
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38
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jitA category for TorchScript and the PyTorch JIT compiler
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895
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deploymentA category of posts focused on production usage of PyTorch. Mobile deployment is out of scope for this category (for now… )
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637
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reinforcement-learningA section to discuss RL implementations, research, problems
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646
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projectsTell the community how you’re using PyTorch!
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171
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64
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PyTorch LivePyTorch Live is no longer supported. Please look into ExecuTorch as the new Mobile runtime for PyTorch.
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178
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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…
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109
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70
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MobileThis category is dedicated to the now deprecated “PyTorch Mobile” project. Please look into ExecuTorch as the new Mobile runtime for PyTorch.
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365
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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.
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10
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glowThis category is for the Glow neural network accelerator compiler: https://github.com/pytorch/glow
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132
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xlaThis category is to discuss xla/TPU related issues.
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34
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185
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73
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31
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FAQThe FAQ category contains commonly-asked questions and their answers. Please refer to this section before you post your query.
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5
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51
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53
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Site FeedbackDiscussion about this site, its organization, how it works, and how we can improve it.
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96
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hackathonUse this category to discuss ideas about the PyTorch Global and local Hackathons.
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11
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torchchattorchchat - Running LLMs locally
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0
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