在此基础上,我们也对大语言模型LLaMA、常用的检测模型YOLO v7/v8的结构化剪枝进行了初步探索,具体代码请见Github的benchmark。总体而言,Torch-Pruning可以实现架构通用的结构化剪枝,显著降低结构化剪枝的应用门槛。 二. 底层算法DepGraph 在本章节中,我们继续讨论Torch-Pruning框架的底层算法DepGraph的相关细节。 2.1 ...
@VainF I have trained a custom YOLOv8 model. After training i have successfully pruned the model. for name, param in model.model.named_parameters(): param.requires_grad = True replace_c2f_with_c2f_v2(model.model) model.model.eval() examp...
1. DepGraph 通用结构化剪枝 本工作在结构化剪枝的自动化上做了改进,提出了一种非深度图算法DepGraph,实现了架构通用的结构化剪枝,适用于CNNs, Transformers, RNNs, GNNs等网络。DepGraph能够自动地分析复杂的结构耦合,从而正确地移除参数实现网络加速。基于DepGraph算法,本文开发了PyTorch结构化剪枝框架Torch-Pruning。
通用的结构化剪枝工具:支持LLaMA,Vision Transformers,Yolov7,yolov8, FasterRCNN, SSD, KeypointRCNN, MaskRCNN, ResNe(X)t, ConvNext, DenseNet, ConvNext, RegNet, FCN, DeepLab等神经网络. 不同于torch.nn.utils.prune中利用掩码(Masking)实现的“模拟剪枝”, Torch-Pruning采用了一种名为DepGraph的非深...
yolov8在剪枝后finetune模型时,如果设置多卡会报错,Expected all tensors to be on the same device, but found at least two devices, cuda:2 and cuda:0! #414 openedAug 27, 2024byzhuangyihao1997 IndexError: index 1536 is out of bounds for dimension 0 with size 1024 ...
General-purpose Pruning Toolkit:TP enables structural pruning for a wide range of deep neural networks, includingLarge Language Models (LLMs),Segment Anything Model (SAM),Diffusion Models,Vision Transformers,ConvNext,Yolov7,yolov8,Swin Transformers,BERT, FasterRCNN, SSD, ResNe(X)t, DenseNet, Reg...
Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning! - eamon-cai/YOLO-Pruning-RKNN
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs - Torch-Pruning/examples/LLMs/readme.md at master · VainF/Torch-Pruning
Examples: Pruning off-the-shelf models from Huggingface, Timm, Torchvision, includingLarge Language Models (LLMs),Segment Anything Model (SAM),Diffusion Models,Vision Transformers,ConvNext,Yolov7,yolov8,Swin Transformers,BERT, FasterRCNN, SSD, ResNe(X)t, DenseNet, RegNet, DeepLab, etc. A detai...
Examples: Pruning off-the-shelf models from Huggingface, Timm, Torchvision, includingLarge Language Models (LLMs),Segment Anything Model (SAM),Diffusion Models,Vision Transformers,ConvNext,Yolov7,yolov8,Swin Transformers,BERT, FasterRCNN, SSD, ResNe(X)t, DenseNet, RegNet, DeepLab, etc. A detai...