出现这个错误的原因是因为python和pytorch的版本不一致,pytorch里的torchvision模块需要从typing中导入OrderedDict,但是python 3.7对应的typing包里没有OrderedDict,所以无法导入导致报错。 解决办法: 我们可以安装typing_extensions(这是针对python3.8版本以下的使用方法),相当于是对typing的一个补丁文件,里面会增加一些typing里面...
Hi, by executing this python3 train.py --name cifar10-100_500 --dataset cifar10 --model_type ViT-B_16 --pretrained_dir checkpoint/ViT-B_16.npz I encounter the error: Traceback (most recent call last): File "train.py", line 17, in <module...
而不是示例中所示的字符串。您可以将此配置对象直接传递给ViTModel，而无需再次调用from_pretrained。
Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common datasets like MNIST, CIFAR10, and more. - s-chh/PyTorch-Scratch-Vision-Transformer-ViT
A Simplified PyTorch Implementation of Vision Transformer (ViT) - tintn/vision-transformer-from-scratch
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022. - NVlabs/GroupViT
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch - return None from extractor if no attention layers · rian-dev/vit-pytorch@25b3842