apply_affine_transform() confuses between X and Y

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It seems that apply_affine_transform() confuses the axes X and Y. X should be horizontal, whereas Y - vertical. However, current implementation treats X as the first dimension (height), and Y as the second dimension (width) which not only contradicts the common sense but also the documentation.

A very simple example: the image moves vertically (rather than horizontally) even though ty=0 and tx !=0

import numpy as np
from keras_preprocessing.image import apply_affine_transform

x = np.array([
    [1, 1, 1],
    [2, 2, 2],
    [3, 3, 3],
])
np.squeeze(apply_affine_transform(np.expand_dims(x, -1), tx=1))

array([[2, 2, 2],
       [3, 3, 3],
       [3, 3, 3]])

keras-team / keras-preprocessing

apply_affine_transform() confuses between X and Y #315