TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

Impact

NPE in RandomShuffle with XLA enable

```python

import tensorflow as tf

func = tf.raw_ops.RandomShuffle

para = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649}

@tf.function(jit_compile=True)

def test():

y = func(**para)

return y

test()

`

Patches

We have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa).

The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx