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!pip install numpy matplotlib torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Requirement already satisfied: numpy in c:\users\admin\anaconda\lib\site-packages (1.18.5)
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import torch
import torchvision
from torchvision.datasets import MNIST# Download the training dataset
datasets = MNIST(root = 'data/', download = True)Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to data/MNIST\raw\train-images-idx3-ubyte.gz
HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))Extracting data/MNIST\raw\train-images-idx3-ubyte.gz to data/MNIST\raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to data/MNIST\raw\train-labels-idx1-ubyte.gz
HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))Extracting data/MNIST\raw\train-labels-idx1-ubyte.gz to data/MNIST\raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to data/MNIST\raw\t10k-images-idx3-ubyte.gz
HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))
Extracting data/MNIST\raw\t10k-images-idx3-ubyte.gz to data/MNIST\raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to data/MNIST\raw\t10k-labels-idx1-ubyte.gz
HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))Extracting data/MNIST\raw\t10k-labels-idx1-ubyte.gz to data/MNIST\raw
Processing...
Done!
C:\Users\ADMIN\anaconda\lib\site-packages\torchvision\datasets\mnist.py:480: 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:141.)
return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-3-672e55d35974> in <module>
1 # Download the training dataset
2 datasets = MNIST(root = 'data/', download = True)
----> 3 datasets.shape()
AttributeError: 'MNIST' object has no attribute 'shape'len(datasets)60000# Load the test dataset
test_dataset = MNIST(root = 'data/', train=False)
test_datasetDataset MNIST
Number of datapoints: 10000
Root location: data/
Split: Test