def execute(self):
batch_size = 50
train_loader = torch.utils.data.DataLoader(datasets.MNIST('data', train=True, download=True, transform=transforms.ToTensor()), batch_size=batch_size, shuffle=True)
self.data = train_loader
for port in self.outPorts:
port.transferData(self.data)
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