replicate a row tensor using tf.tile?

Question

I have a tensor which is simply a vector, vector = [0.5 0.4] and tf.shape indicates that it has shape=(1,), I would like to replicate the vector m times and hav

Answer 1

Take the following, vec is a vector, multiply is your m, the number of times to repeat the vector. tf.tile is performed on the vector and then using tf.reshape it is reshaped into the desired structure.

import tensorflow as tf

vec = tf.constant([1, 2, 3, 4])
multiply = tf.constant([3])

matrix = tf.reshape(tf.tile(vec, multiply), [ multiply[0], tf.shape(vec)[0]])
with tf.Session() as sess:
    print(sess.run([matrix]))

This results in:

[array([[1, 2, 3, 4],
       [1, 2, 3, 4],
       [1, 2, 3, 4]], dtype=int32)]