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

## 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

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