tf_image_translate.py

import tensorflow as tf

## Tensorflow image translation op
# images:        A tensor of shape (num_images, num_rows, num_columns, num_channels) (NHWC),
#                (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW).
# tx:            The translation in the x direction.
# ty:            The translation in the y direction.
# interpolation: If x or y are not integers, interpolation comes into play. Options are 'NEAREST' or 'BILINEAR'
def tf_image_translate(images, tx, ty, interpolation='NEAREST'):
    # got these parameters from solving the equations for pixel translations
    # on https://www.tensorflow.org/api_docs/python/tf/contrib/image/transform
    transforms = [1, 0, -tx, 0, 1, -ty, 0, 0]
    return tf.contrib.image.transform(images, transforms, interpolation)

Example use:

translation_op = tf_image_translate(images, tx=-5, ty=10)

with tf.Session() as sess:
    translated_images = sess.run(translation_op)