Metadata-Version: 2.1
Name: merlin-sok
Version: 1.1.3
Summary: SparseOperationKit (SOK) is a python package wrapped GPU accelerated operations dedicated for sparse training / inference cases.
Home-page: https://github.com/NVIDIA-Merlin/HugeCTR/tree/master/sparse_operation_kit
Author: NVIDIA
Author-email: hugectr-dev@exchange.nvidia.com
License: Apache 2.0
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.
Platform: Linux
Requires-Python: >=3
Provides-Extra: tensorflow
