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Pre-release

This release is a pre-release and may not be stable for production use.

ELF GPU

Work-in-progress / early research phase

The goal of this project is to extend pyelftools so it can inspect CUDA and HIP/ROCm fat ELF binaries and detect which GPU devices (architectures) are supported by a given shared library or executable.

See REFERENCES.md for binary format documentation, tools, and research links.

Example output for Torch 2.11.0

torch-2.11.0-cp312-cp312-manylinux_2_28_x86_64.whl

$ python3 -m elfgpu libtorch_cuda.so 
sm_100
sm_100a
sm_103a
sm_120
sm_120a
sm_121a
sm_75
sm_80
sm_86
sm_89
sm_90
sm_90a

torch-2.11.0+rocm7.2-cp312-cp312-manylinux_2_28_x86_64.whl

$ python3 -m elfgpu libtorch_hip.so 
gfx1030
gfx1100
gfx1101
gfx1102
gfx1150
gfx1151
gfx1200
gfx1201
gfx900
gfx906
gfx908
gfx90a
gfx942
gfx950

Metadata

Release files for elfgpu 0.1.0a1

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Source distribution for elfgpu 0.1.0a1
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Built distribution (wheel)

Table of built distributions (wheels) for elfgpu 0.1.0a1
File Interpreter ABI Platform Actions
elfgpu-0.1.0a1-py3-none-any.whl Python 3 none any Details for elfgpu-0.1.0a1-py3-none-any.whl

Total release size: 112.3 kB

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Uploaded via twine/6.1.0 CPython/3.13.13

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Signed by GitHub Actions, verified by PyPI on Jun 16, 2026.

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