On-device AI across mobile, embedded and edge for PyTorch

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45 Open Issues Need Help Last updated: Jul 1, 2026

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On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
enhancement good first issue actionable module: kernels triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue module: android

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged module: training

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
module: doc good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
module: doc good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

Python
#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

Python
#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue module: android

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged module: android

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged module: android

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue module: ci triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue module: android

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue actionable module: arm

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue actionable module: exir

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue module: runtime triaged

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged module: android Android_GA

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor
good first issue triaged module: android Android_GA

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

AI Summary: The task involves creating Python bindings for a C++ API within the ExecuTorch project, specifically for its text LLM runner. This requires writing a pybind11 C++ file, integrating it into the existing CMake build system, adding the module to setup.py, and ensuring compatibility with existing .pte files and tokenizer artifacts. The goal is to allow users to run LLM models within a Python environment, such as a Jupyter notebook.

Complexity: 4/5
good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

AI Summary: Implement support for the `sym_max` operation within the ExecuTorch framework. This is necessary to enable successful graph lowering and model execution for models utilizing dynamic cache sizes, as highlighted by an issue encountered in the `optimum-executorch` project when exporting models from the Hugging Face Transformers library.

Complexity: 4/5
good first issue

On-device AI across mobile, embedded and edge for PyTorch

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#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor

AI Summary: Rename the CMake target `executorch` to `prim_ops_lib` in the ExecuTorch project to improve clarity and consistency with other libraries. This involves updating the CMakeLists.txt file and potentially `executorch-config.cmake` to reflect the name change and remove redundant linking code in example projects.

Complexity: 3/5
good first issue

On-device AI across mobile, embedded and edge for PyTorch

Python
#deep-learning#embedded#gpu#machine-learning#mobile#neural-network#tensor