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PyTorch Governance | Maintainers

docs/source/community/persons_of_interest.md

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PyTorch Governance | Maintainers

Responsibilities

  • Triage and fix high priority issues assigned to the module or library
  • Triage, review, and land high priority pull requests assigned to the module or library
  • Answer module or library questions on discuss.pytorch.org and dev-discuss.pytorch.org
  • Maintain public user and development documentation
  • Run meetings and share minutes plus roadmap on a half or quarterly basis

Lead Core Maintainer

Core Maintainers

Core Module maintainers

NN APIs (torch.nn)

Optimizers (torch.optim)

Autograd (torch.autograd)

TorchDynamo

TorchInductor

Cudagraph Tree

PT2 Dispatcher

PT2 Export (torch.export)

AOT Inductor (AOTI) & AOTI Runtime

Distributions & RNG

Distributed

Multiprocessing

Linear Algebra (torch.linalg)

Sparse (torch.sparse)

NestedTensor (torch.nested)

MaskedTensor (torch.masked)

Fast Fourier Transform (torch.fft)

Quantization (torch/ao)

MKLDNN

CUDA

AMD/ROCm/HIP

XPU/Intel GPU

Windows

Apple M1/MPS/Metal

PowerPC

x86 CPU

AArch64 CPU

Out-of-tree Backend Integration (PrivateUse1)

Build + CI

Profiling and Monitoring Tools

C++ API (libtorch + StableABI)

C10 utils and operator dispatch

ONNX exporter

Docs / Tutorials

Core Governed External Module maintainers

ExecuTorch (Edge, Mobile)

TorchCodec

TorchVision

TorchText

TorchAudio

TorchRec

Sunsetted Modules

TorchTune

TorchChat

XLA

TorchServe

Other Compilers (JIT / TorchScript / Package / Deploy)

LiteInterpreter

TorchX

TorchData

TorchArrow