[GitHub] [incubator-mxnet] juliusshufan opened pull request #12362: Removing the re-size for validation data, which breaking the validation accuracy of CIFAR training

[GitHub]

## Description ##
The dataloader for example/image-classification resizes the imagesize of 
validation dataset to 256 by default, and which breaks the validation accuracy 
of CIFAR10, this PR trying to fix it.
Below firgure is the validation accuracy trends without this fix (model is 
ResNet-50).
![image](https://user-images.githubusercontent.com/33112206/44627860-f744b180-a967-11e8-8429-95a49c4f94c0.png)

## Checklist ##
### Changes ###
example/image-classification/common/data.py

## Comments ##
- If this change is a backward incompatible change, why must this change be 
made.
- Interesting edge cases to note here


[ Full content available at: 
https://github.com/apache/incubator-mxnet/pull/12362 ]
This message was relayed via gitbox.apache.org for devnull@infra.apache.org