Mnist why 32x32 and not 28x28

[Cadene]

Hello there,

I don't understand why the dataset MNIST from Torch Tutorial dataset MNIST is made of 32x32 images instead of 28x28 as in the original dataset.

Do I have to crop the images using narrow ?

Thanks

[chengzhishi]

Here is an explanation I found A Tensorflow Tutorial:
The MNIST dataset contains vectorized images of 28X28. Therefore we define a new function to reshape each batch of MNIST images to 28X28 and then resize to 32X32. The reason of resizing to 32X32 is to make it a power of two and therefore we can easily use the stride of 2 for downsampling and upsampling.

Hope this helps!