fix(data): fix augmented data shape#1
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Hi @markdtw , thank you for the clean and readable implementation for matching network. I was trying to reuse the repo for some experiments and realize there is a tiny issue with regard to the shape of the input data.
If I understand it correctly, the data augmentation will actually create 20 * 4 samples per class. However, current implementation will only consider the top 20 examples during training and testing. This PR just simply fix the issue to reach similar performance as obtained from other implementation.