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Status: Unchecked ×Keyword: inference latency reduction ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   SOKS: Automatic Searching of the Optimal Kernel Shapes for Stripe-Wise Network Pruning

   Liu, Zhang and Lv · IEEE Transactions on Neural Networks and Learning Systems · 2022

   The paper presents SOKS, a framework that searches for the best convolution kernel shapes and prunes networks stripe by stripe, reporting smaller models and faster GPU inference.

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   1. UncheckedThe authors report that SOKS finds efficient kernel shapes and performs well on both compression ratio and inference latency in their experiments.“Comprehensive experimental results demonstrate that SOKS searches high-efficiency kernel shapes and achieves superior performance in terms of both compression ratio and inference latency.”