包括 Vision Transformers, Yolov7, FasterRCNN, SSD, KeypointRCNN, MaskRCNN, ResNe(X)t, ConvNext, DenseNet, ConvNext, RegNet, FCN, DeepLab。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...
@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...
请问一下,yolov8在剪枝后finetune,单卡的话正常,使用多卡报错 , 在运行到 bbox_deltas = torch.cat((xy_centers[None] - lt, rb - xy_centers[None]), dim=2).view(bs, n_boxes, n_anchors, -1) 时报了错误 Expected all tensors to be on the same device, but found at least two devices,...
在Torch-Pruning中,我们提供了许多基本层的剪枝函数,首先我们尝试一下剪枝ResNet-18的第一层,即model.conv1. 2.1.1 传统的剪枝 代码1: fromtorchvision.modelsimportresnet18importtorch_pruningastpmodel=resnet18(pretrained=True).eval()tp.prune_conv_out_channels(model.conv1,idxs=[0,1])# 剪枝前两个通...
Torch-Pruning (TP)是一个通用的结构化网络剪枝框架,主要包括以下功能: 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(...
对于torchaudio==2.0.2,您可以尝试运行以下命令: pip install torchaudio==2.0.2 请注意,具体命令可能会根据操作系统、环境和工具链的不同而有所变化。如果问题仍然存在,请检查您的网络连接并确认是否存在其他配置或依赖项问题。 内容由零声教学AI助手提供,问题来源于学员提问...
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...
Why the pruning does not occur (params & flops do not change) #416 openedAug 27, 2024byU0127148 1 当我在尝试剪枝YOLOV9时,DG.get_all_groups构建的group中Concat的通道索引不正确 #415 openedAug 27, 2024byEzcodingSen 3 yolov8在剪枝后finetune模型时,如果设置多卡会报错,Expected all tensors to...
Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning! - eamon-cai/YOLO-Pruning-RKNN
2 changes: 1 addition & 1 deletion 2 docs/yolov5/tutorials/model_pruning_and_sparsity.md Original file line numberDiff line numberDiff line change @@ -9,7 +9,7 @@ UPDATED 25 September 2022. ## Before You Start Clone repo and install [requirements.txt](https://github.com/ultralytics...