我刚刚开始使用pysyft来实现联邦学习，在学习其中一个教程时，我遇到了一个错误：

我使用的代码：

import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
import logging
import syft as sy

westside = sy.VirtualMachine(name = "westside")
grapevine = sy.VirtualMachine(name = "grapevine")

# Introducing hyperparameters to control the learning process
args = {
    'use_cuda': True,
    'batch_size': 64,
    'test_batch_size': 1000,
    'lr': 0.01,
    'log_interval': 100,
    'epochs': 10
}

# Check to use GPU or not
use_cuda = args['use_cuda'] and torch.cuda.is_available()
device = torch.device('cuda' if use_cuda else 'cpu')

# Create a simple CNN net
class Net(nn.Module):
    
    def __init__(self):
        super(Net, self).__init__()
        
        self.conv = nn.Sequential(
            nn.Conv2d(in_channels = 1, out_channels = 32, kernel_size = 3, stride = 1),
            nn.ReLU(),
            nn.Conv2d(in_channels=32,out_channels = 64, kernel_size = 3, stride = 1),
            nn.ReLU()
        )
        
        self.fc = nn.Sequential(
            nn.Linear(in_features=64*12*12, out_features=128),
            nn.ReLU(),
            nn.Linear(in_features=128, out_features=10),
        )
    
    def forward(self, x):
        x = self.conv(x)
        x = F.max_pool2d(x,2)
        x = x.view(-1, 64*12*12)
        x = self.fc(x)
        x = F.log_softmax(x, dim=1)
        return x

# Load the data and transform it into a federated dataset
federated_train_loader = sy.FederatedDataLoader(
    datasets.MNIST('../data', train=True, download=True,
                   transform=transforms.Compose([
                       transforms.ToTensor(),
                       transforms.Normalize((0.1307,), (0.3081,))
                   ]))
    .federate((grapevine, westside)),
    batch_size=args['batch_size'], shuffle=True)

我正在学习的教程使用的是旧版本的pysyft，所以对hooks的支持已经过时。另外，我不得不使用syft.VirtualMachine(name="Some-name")而不是syft.VirtualWorker(hook, id="Some-name")。教程中给出的sy.FederatedDataLoader的目的是加载数据，因此，转换为federated dataset，这是tutorial的链接，新版本中是否有等效函数代替FederatedDataLoader()加载数据？