Hello everyone,
The following code returns ByteTensor in torchvision 0.2.1, osx,
    self.train_dataset = datasets.MNIST(root=root,
                                        train=True,
                                        transform=transforms.ToTensor(),
                                        download=True)

    self.test_dataset = datasets.MNIST(root=root,
                                       train=False,
                                       transform=transforms.ToTensor())

    print(self.test_dataset.test_data.type())
    print(self.train_dataset.train_data.type())

Is this a bug or am I missing something here? As far as I remember it did return FloatTensor when I previously used it.
Thanks in advance!