Network compressionWavelets are well known for data compression, yet have rarely been applied to the compression of neural networks. In this paper, we show how the fast wavelet transform can be applied to compress linear layers in neural networks. Linear layers still occupy a significant portion ...
Neural Network Compression Framework for enhanced OpenVINO™ inference Topics nlp sparsity compression deep-learning tensorflow transformers pytorch classification pruning object-detection quantization semantic-segmentation bert onnx openvino mixed-precision-training quantization-aware-training llm genai Resources...
2023.7-2024.12 代码codes hyperprior是否可以单独作为params进行means的生成(也就是没有ctx_p,没有concat,有chunk,亦即只有hyperprior提供给量化以)
Deep Neural Network Compression by In-Parallel Pruning-Quantization 论文笔记 摘要 深度神经网络在视觉识别任务(如图像分类和物体检测)上实现了最先进的精确度。然而,现代网络包含数百万个已学习的连接,并且当前的趋势是朝向更深和更密集连接的体系结构。这对在资源受限的系统(例如智能手机或移动机器人)上部署最先进...
Soft Weight-Sharing for Neural Network Compression Karen UllrichEdward MeedsMax Welling Feb 2017 The success of deep learning in numerous application domains created the desire to run and train them on mobile devices. This however, conflicts with their computationally, memory and energy intense nature...
II. SYSTEM ARCHITECTURE OF NEURAL NETWORK BASED VIDEO COMPRESSION: 本节介绍我们的深度视频编码器的系统结构,如图1所示。利用帧内相关或帧间相关通过预测编码器形成图像块的紧凑表征预测,并利用帧间/帧内残差网络对残差进行压缩。预测系数和残差系数都经过量化和熵编码,生成最终的二进制流。如图1所示,整个编码系统包...
Model Compression in the Era of Large Language Models Guest editors: Xianglong Liu; Michele Magno; Haotong Qin; Ruihao Gong; Tianlong Chen; Beidi Chen Large language models (LLMs), as series of large-scale, pre-trained, statistical language models based on neural networks, have achieved signif...
Distiller is an open-source Python package for neural network compression research. Network compression can reduce the memory footprint of a neural network, increase its inference speed and save energy. Distiller provides a PyTorch environment for prototyping and analyzing compression algorithms, such as...
There are two primary neural network compression techniques. Specifically, structural compression by pruning or projection, and data type compression by quantization. This example focuses on structural compression through projection. To structurally compress a deep learning network, you can useprojected layer...
DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING:用剪枝、训练量化和霍夫曼编码压缩深度神经网络 这篇论文是Stanford的Song Han的 ICLR2016 的 best paper 1 Abstract 论文想解决的问题? 神经网络的计算密集性以及内存密集性使得其在嵌入式设备上难以部署 论文...