# Pad the last dimension of a tensor with different lengths to a specific length

## 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, 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, 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, 2], [1, 2, 3]])
sequence_length = 10
x = x.to_tensor(shape=(x.bounding_shape(), 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)
`````` 