how to repeat (2, 1) tensors to (50, 1) tensors in TensorFlow 1.10-CodePudding

For example,

# x is a tensor
print(x)
[1, 0] 

# after repeating it
print(x)
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

There is no tf.repeat in TensorFlow 1.10 so if there is the best replaceable way to implement it?
Thanks in advance.

CodePudding user response：

You could go with this

import tensorflow as tf

x = tf.constant([1, 0])
temp = tf.zeros(shape=(25, 2), dtype=tf.int32)

result = tf.reshape(tf.transpose(t   x), (-1,))

CodePudding user response：

If you can really only use Tensorflow 1.10 then try something like this:

import tensorflow as tf

x = tf.constant([1, 0])
x = tf.reshape(tf.tile(tf.expand_dims(x, -1), [1, 25]), (50, 1))
print(x)

'''
tf.Tensor(
[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
 0 0 0 0 0 0 0 0 0 0 0 0 0], shape=(50, 1), dtype=int32)
'''