[人工智能]pytorch学习时的NotImplementedError

一、前言

在B站学习pytorch，看的是小土堆up主的视频，历经不少艰难险阻当学到“神经网络-卷积层这节内容时，代码和视频中的完全像同，但是我的却出现了NotImplementedError的报错，百思不得其解，枯了，希望能有人帮我看看

二、我的代码

代码如下（示例）：

import torch
from torch import nn
from torch.nn import Conv2d
from torch.utils.data import DataLoader
import torchvision
from torch.utils.tensorboard import SummaryWriter

dataset = torchvision.datasets.CIFAR10("../data",train=False,transform=torchvision.transforms.ToTensor(),download=True)

dataloader = DataLoader(dataset,batch_size=64)

class Tudui(nn.Module):
    def __init__(self):
        super(Tudui,self).__init__()
        self.conv1 = Conv2d(in_channels=3,out_channels=6,kernel_size=3,stride=1,padding=0)

    def foward(self,x):
        x = self.conv1(x)
        return x

tudui = Tudui()
#print(tudui)

writer = SummaryWriter("logs")

step = 0
for data in dataloader:
    imgs,targets = data
    output = tudui(imgs)
    writer.add_image("input",imgs,step)
    torch.reshape(output,(-1,3,30,30))
    writer.add_image("output",output,step)
    step = step+1

三、我的错误

希望有好心人捞捞我这个大一小白，万分感谢