## Issue

I have a similar question, this one TensorFlow – Pad unknown size tensor to a specific size?. My question is more difficult though, and I didn’t find any solutions can solve my question. My question is that what if the given unknown tensor have different sizes in the last dimension and I want to pad them to the same fix length, how can I do that? For example, suppose the given tensor is

```
[[1],
[1, 2],
[1, 2, 3]]
```

I want to pad them such that I can get

```
[[1, 0, 0, 0],
[1, 2, 0, 0],
[1, 2, 3, 0]]
```

The solutions in the original post all assume the last dimension have the same length. Any ideas on how to solve this problem? I am not even sure if `tf.pad()`

is the right function to achieve this…

## Solution

The simplest solution would be to call `to_tensor()`

on your ragged tensor. It will automatically add padding:

```
import tensorflow as tf
x = tf.ragged.constant([[1], [1, 2], [1, 2, 3]])
x = x.to_tensor()
print(x)
```

```
tf.Tensor(
[[1 0 0]
[1 2 0]
[1 2 3]], shape=(3, 3), dtype=int32)
```

If you want to, for example, to pad to the length 10 instead of the default 3, try:

```
import tensorflow as tf
x = tf.ragged.constant([[1], [1, 2], [1, 2, 3]])
sequence_length = 10
x = x.to_tensor(shape=(x.bounding_shape()[0], sequence_length))
print(x)
```

```
tf.Tensor(
[[1 0 0 0 0 0 0 0 0 0]
[1 2 0 0 0 0 0 0 0 0]
[1 2 3 0 0 0 0 0 0 0]], shape=(3, 10), dtype=int32)
```

Answered By – AloneTogether