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import torch
import torchvision
from torchvision.datasets import MNIST
dataset = MNIST(root='/data',download=True)
C:\Users\Pc\anaconda3\lib\site-packages\torchvision\datasets\mnist.py:498: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:180.) return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s) 
type(dataset)
torchvision.datasets.mnist.MNIST
len(dataset)
60000
test_dataset = MNIST(root='/data', train=False)