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

0

Issue

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?

Solution

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)
'''

Answered By – AloneTogether

This Answer collected from stackoverflow, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0

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