Faiss 1.7.4-foss-2023a-CUDA-12.1.1

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed primarily at Meta's Fundamental AI Research group.

Accessing Faiss 1.7.4-foss-2023a-CUDA-12.1.1

To load the module for Faiss 1.7.4-foss-2023a-CUDA-12.1.1 please use this command on Baskerville:

📋 module load bask-apps/live
module load Faiss/1.7.4-foss-2023a-CUDA-12.1.1

Bask Apps Env

live

More Information

For more information visit the Faiss website.

Dependencies

This version of Faiss has a direct dependency on: CUDA/12.1.1 foss/2023a Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a-CUDA-12.1.1 SciPy-bundle/2023.07-gfbf-2023a

Required By

This version of Faiss is a direct dependent of: tsne-cuda/3.0.1-foss-2023a-CUDA-12.1.1

Last modified on 17th October 2024