Identity mapping causes zero rows

[daviddao]

Using an identity transformation in transfromerlayer_test.py with all weights set to zero :

Expected output_train shape (1, 1200, 1600, 3)
Actual output_train shape (1, 1200, 1600, 3)
Transformation matrix:
[[ 1.  0.  0.  0.  1.  0.]]

I get following image matrix:

However the original image is:

Does the row full of zeros have sth to do with the bilinear interpolation? Is it supposed to be like this?
Here the case with 100 fold downsampling:

[elezar]

Is this perhaps related to tensorflow/models#193 (comment)?

There it is stated that in the interpolation, the mapping should be between [-1, 1] and [0, width-1]. It seems as if the mapping has been corrected in Lasagne/Lasagne@c8572b2, but not here.