shape inconsistency issue between input data and kernal

[orshi]

I saw in your code when image processing,you made input shape to NWHC format:
'''python
images = np.transpose(images, axes=[0, 2, 1, 3])
'''
but in network building ,the default kernal shape is NHWC format.

so I'm not quite sure if it's my understanding issue or it's a bug in your code.