merlin-sok

SparseOperationKit (SOK) is a python package wrapped GPU accelerated operations dedicated for sparse training / inference cases.

Project description

SparseOperationKit (SOK) is a python package wrapped GPU accelerated operations dedicated for sparse training / inference cases. It is designed to be compatible with common DeepLearning (DL) frameworks, for instance, TensorFlow. Most of the algorithm implementations in SOK are extracted from HugeCTR, which is a GPU-accelerated recommender framework designed to distribute training across multiple GPUs and nodes and estimate Click-Through Rates (CTRs). If you are looking for a very efficient solution for CTRs, please check HugeCTR.

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2.1.0

Jun 14, 2024

2.0.0

Dec 27, 2023

1.3.0

Sep 4, 2023

1.2.0

Aug 7, 2023

This version

1.1.4

Nov 4, 2022

1.1.3

Mar 30, 2022

1.1.2 yanked

Mar 30, 2022

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