Hello.

I am working with svhn and I have realized there is a problem with how should I display an image. Using a torchvision dataloader i sample an image x. I am getting different results when plotting. I know I should I convert to numpy and use matplot lib. This library expects the numpy array to have dimension (H,W,C) height width channel, but pytorch is (C,H,W), I think. So to plot I can do either

`x=x.numpy() x=np.tranpose(x,(1,2,0)) plot(x)`

or I can do

`x=x.view(1,2,0).numpy() plot(x)`

However I do not get the expected results. What is happening? How does really pytorch manage memory?

Thanks