TypeError: Instance and class checks can only be used with @runtime_checkable protocols怎么解决

Question

问题遇到的现象和发生背景

Pytorch中使用DataLoader报错：TypeError: Instance and class checks can only be used with @runtime_checkable protocols该怎么解决

问题相关代码，请勿粘贴截图

import torchvision
from torch.utils.data import DataLoader

dataset_transform = torchvision.transforms.Compose([
    torchvision.transforms.ToTensor()
])
test_data = torchvision.datasets.CIFAR10("./dataset", False, dataset_transform)
test_loader = DataLoader(dataset=test_data, batch_size=4, shuffle=True, num_workers=0, drop_last=False)

运行结果及报错内容

Traceback (most recent call last):
  File "/home/parallels/Desktop/learn-pytorch2/one.py", line 8, in <module>
    test_loader = DataLoader(dataset=test_data, batch_size=4, shuffle=True, num_workers=0, drop_last=False)
  File "/home/parallels/anaconda3/envs/pytorch/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 200, in __init__
    if isinstance(dataset, IterableDataset):
  File "/home/parallels/anaconda3/envs/pytorch/lib/python3.10/typing.py", line 1469, in __instancecheck__
    raise TypeError("Instance and class checks can only be used with"
TypeError: Instance and class checks can only be used with @runtime_checkable protocols

Process finished with exit code 1

我的解答思路和尝试过的方法

在网上没有找到解决方案

我想要达到的结果

Answer 1

我也遇到了这个问题，本来用的是python3.10，回退成3.7没这个问题了。猜测是版本升级导致的不兼容问题。