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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Release files for merlin-sok 2.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| merlin-sok-2.1.0.tar.gz | 8.7 MB | Details |
Release files / merlin-sok-2.1.0.tar.gz
| Download URL | merlin-sok-2.1.0.tar.gz |
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| Size | 8.7 MB |
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