pytorch的callable问题

import torch
from torch import nn
import torchvision
from torch.nn import Flatten, Conv2d, MaxPool2d, Linear, Sequential

from Pytorch.nn_cov2d import DataLoader
dataset=torchvision.datasets.CIFAR10("../dataset",train=False,transform=torchvision.transforms.ToTensor()
                                     ,download=True)
dataloader=DataLoader(dataset,batch_size=1)
class Tudui(nn.Module):
    def __init__(self):
        super(Tudui, self).__init__()
        self.model1=Sequential(
        Conv2d(3,32,5,padding=2),
        MaxPool2d(2),
        Conv2d(32, 32, 5, padding=2),
        MaxPool2d(2),
        Conv2d(32, 64, 5, padding=2),
        MaxPool2d(2),
        Flatten(),
        Linear(1024, 64),
        Linear(64, 10)
        )

    def forward(self,x):
        x=self.model1(x)
        return x



Loss=nn.CrossEntropyLoss()
tudui=Tudui()


for data in dataloader:
    imgs,target=data
    outputs=tudui(imgs)
    result_loss=Loss(outputs,target)
    print(result_loss)

错误信息为：Traceback (most recent call last):
  File "D:\pythonlearning\Pytorch\nn_lossfunctionnetwork.py", line 9, in 
    dataloader=DataLoader(dataset,batch_size=1)
TypeError: 'DataLoader' object is not callable

这个是哪里出现了问题

DataLoader是一个类吗。点击去看看确认下

from Pytorch.nn_cov2d import DataLoader
你的DataLoader怎么实现的？