Tensorflow has a great deal of transformations that can be applied to 3D-tensors representing images ([height, width, depth]) like
I know that they are meant to be used with queues hence the fact that they operate on only one image.
But would there be a way to vectorize the ops to transform 4D-tensor ([batch_size,height,width,depth]) to same size tensor with op applied image-wise along the first dimension without explicitely looping through them with
a clever hack taken from numpy rot90 would be to do:
It turns out this question has already been answered quite a few times it seems
is the way to go: same question
. I had already seen it but I forgot I guess this makes this question a duplicate I will close it then.
However for random op or more complex op it would be nice to have a generic method to vectorize existing functions...)