convolution_strides_same.py

import tensorflow as tf
k = tf.constant([
    [0, 1, 2],
    [1, 2, 3],
    [2, 3, 4]
], dtype=tf.float32, name='k')
i = tf.constant([
    [0, 1, 2, 3, 4],
    [1, 2, 3, 4, 5],
    [2, 3, 4, 5, 6],
    [3, 4, 5, 6, 7],
    [4, 5, 6, 7, 8]
], dtype=tf.float32, name='i')
kernel = tf.reshape(k, [3, 3, 1, 1], name='kernel')
image  = tf.reshape(i, [1, 5, 5, 1], name='image')
res = tf.squeeze(tf.nn.conv2d(image, kernel, [1, 2, 2, 1], "SAME"))
with tf.Session() as sess:
  print (sess.run(res))