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Builders & open source

Greg Chanan

Core Maintainer, PyTorch

  • Core Maintainer, PyTorch (open-source project)1

Greg Chanan is listed as a core maintainer on PyTorch's maintainers page, which also lists Chanan as an emeritus maintainer of torch.nn and among the maintainers of the XLA module, now grouped with sunsetted modules. As Gregory Chanan, Chanan co-authored the 2019 PyTorch paper, listed there with Facebook AI Research, and the PyTorch 2 paper (ASPLOS 2024), listed with Meta.123

At a glance

Current role
Core Maintainer
Company
PyTorch
Work listed
2
Sources cited
5
Profile reviewed

Open-source work

Chanan is one of the core maintainers listed in PyTorch's governance documentation, the group that oversees the project alongside its lead core maintainer. The same page lists Chanan as an emeritus maintainer of the torch.nn neural network APIs and among the maintainers of the PyTorch/XLA module, which the page now groups with sunsetted modules.1

Publications

Chanan, listed with Facebook AI Research, co-authored "PyTorch - An Imperative Style, High-Performance Deep Learning Library", the 2019 paper describing PyTorch's design. Chanan is also a co-author of the ASPLOS 2024 paper on PyTorch 2, which presents TorchDynamo, a Python bytecode transformation system, and TorchInductor, the compiler behind torch.compile.423

Work and contributions

  • PyTorch Open-source code

    Listed as a PyTorch core maintainer and an emeritus torch.nn maintainer; co-author of "PyTorch: An Imperative Style, High-Performance Deep Learning Library" (2019). The repository is under a BSD-style license.145

  • PyTorch 2: TorchDynamo and TorchInductor (torch.compile) Published research

    Co-author, listed with Meta, of the ASPLOS 2024 paper introducing TorchDynamo and TorchInductor, which implement torch.compile in PyTorch 2.3

Timeline

  1. Co-authored the PyTorch paper "An Imperative Style, High-Performance Deep Learning Library".4
  2. Co-authored the PyTorch 2 paper on TorchDynamo and TorchInductor, presented at ASPLOS 2024.3
  3. Listed as a core maintainer in the PyTorch 2.14 governance documentation.1

Other documented roles

Roles the sources document that are not confirmed as current.

  • Listed with Facebook AI Research (2019) and Meta (2024) as an author of PyTorch papers, Meta23

Where they work

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References

5 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. PyTorch Governance | Maintainers (PyTorch 2.14 documentation)PyTorch · Documentation · published Jun 5, 2026 · accessed Oct 21, 2026
  2. PyTorch: An Imperative Style, High-Performance Deep Learning Library, paper PDF with author affiliations (arXiv 1912.01703)arXiv · Paper · published Dec 3, 2019 · accessed Oct 21, 2026
  3. PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation (ASPLOS '24)PyTorch · Paper · published Apr 2024 · accessed Oct 21, 2026
  4. PyTorch: An Imperative Style, High-Performance Deep Learning Library (arXiv 1912.01703)arXiv · Paper · published Dec 3, 2019 · accessed Oct 21, 2026
  5. pytorch/pytorch LICENSE (BSD-style license)PyTorch (GitHub repository) · License · accessed Oct 21, 2026