CUDA attention & morphology kernels for PyTorch (sm_90/100/120)

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  • License: MIT License (MIT)
  • Author: Vedran Hrabar
  • Tags attention , cuda , pytorch , transformer , morfologfy , flash-attention , ViT
  • Requires: Python ==3.14.*
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Project description

Morphottention

Mathematical Morphology-based self-attention module for PyTorch using Flash-style kernel fusion.

Install

Prebuilt wheels are published for CPython 3.14 on Linux (x86_64, aarch64) and Windows (x86_64). A working CUDA-enabled PyTorch (torch >= 2.12) must already be installed in the environment.

pip install morphottention

Building from source

Requires the CUDA 13.X toolkit (nvcc) and a matching torch build:

uv sync --package morphottention --no-dev --group build
uv build --package morphottention --wheel --no-build-isolation

License

MIT

Copyright © 2026 Vedran Hrabar.

Project details

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  • License: MIT License (MIT)
  • Author: Vedran Hrabar
  • Tags attention , cuda , pytorch , transformer , morfologfy , flash-attention , ViT
  • Requires: Python ==3.14.*
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0.2.0

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0.1.0

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