BriefGPT.xyz
Nov, 2024
通过掩蔽诱导半结构稀疏性以实现卷积网络中的高效模型推理
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
HTML
PDF
David A. Danhofer
TL;DR
本研究解决了卷积模型加速效果不足的问题，提出了一种新的方法，通过学习掩蔽的半结构稀疏性模式，利用现有硬件加速卷积模型。研究表明，该方法在推理时实现了超过两倍的加速，同时保持了模型性能和可更新性，确保了预测的稳定性界限。
Abstract
The crucial role of convolutional models, both as standalone vision models and backbones in foundation models, necessitates effective
Acceleration
techniques. This paper proposes a novel method to learn semi-structured
→