https://github.com/risi-kondor/cnine

Cnine tensor library
https://github.com/risi-kondor/cnine

Last synced: about 1 month ago
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Cnine tensor library

• Host: GitHub
• URL: https://github.com/risi-kondor/cnine
• Owner: risi-kondor
• License: other
• Created: 2022-10-07T20:54:54.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-11T03:08:14.000Z (about 1 month ago)
• Last Synced: 2025-03-11T04:20:51.515Z (about 1 month ago)
• Language: C++
• Size: 1.84 MB
• Stars: 4
• Watchers: 2
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# cnine

[![Conda CPU build](https://github.com/risi-kondor/cnine/actions/workflows/pytest-cpu.yml/badge.svg)](https://github.com/risi-kondor/cnine/actions/workflows/pytest-cpu.yml)

[![Conda GPU/CUDA build](https://github.com/risi-kondor/cnine/actions/workflows/pytest-gpu.yml/badge.svg)](https://github.com/risi-kondor/cnine/actions/workflows/pytest-gpu.yml)

Lightweight C++ tensor library

Cnine is a simple C++/CUDA tensor library developed by Risi Kondor's group at the University of Chicago.

Cnine is designed to make some of the power of modern GPU architectures accessible directly from C++ code, without relying on complex proprietary libraries. 

Documentation for the Python/PyTorch API is at https://risi-kondor.github.io/cnine/.

Cnine is released under the custom noncommercial license included in the file LICENSE.TXT