A check fail can be triggered in Gather
@shijy16 This ticket is related to vulnerabilities. Please consult https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md . Please refer to [this](https://github.com/tensorflow/tensorflow/issues/60197#issuecomment-1496337927) comment as well. Thank you!

 @sushreebarsa 

Hi, thank you. I will report this issue to OSS VRP.

But I am not very clear about the boundary between vulnerability and bug. As stated in the security.md:
````
If an assertion failure only leads to program termination and no other exploits, we will no longer consider assertion failures (e.g., CHECK-fails) as vulnerabilities.
````
The check-fails are not regarded as vulnerabilities. Why is this one related to vulnerabilities?  @sushreebarsa 
Hi, OSS VRP has replied that this issue is not severe enough to be tracked as a security bug. Hi @shijy16 ,

This has been fixed at tf-nightly as per [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/fd19bf2247cf811eb947cb2f4ac80cce/60276.ipynb). Now it's raising exception.
 This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/60276">Yes</a>
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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

Yes

### Source

binary

### Tensorflow Version

2.13.0-dev20230406

### Custom Code

Yes

### OS Platform and Distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.10

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

CUDA 11.8

### GPU model and memory

_No response_

### Current Behaviour?

```shell
The following code can trigger a crash in `tf.raw_ops.Gather` due to check-fail in the latest version of TensorFlow.
```


### Standalone code to reproduce the issue

```shell
import tensorflow as tf
with tf.device("GPU:0"):
    validate_indices = False
    params = tf.saturate_cast(tf.random.uniform([13, 15, 7, 13, 14], minval=-1024, maxval=1024, dtype=tf.int64), dtype=tf.half)
    indices = tf.saturate_cast(tf.random.uniform([11, 12, 6, 15, 11, 3], minval=-1024, maxval=1024, dtype=tf.int64), dtype=tf.int64)
    res = tf.raw_ops.Gather(
        validate_indices=validate_indices,
        params=params,
        indices=indices,
    )
```


### Relevant log output

```shell
2023-04-09 13:58:03.392638: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-04-09 13:58:03.438587: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-04-09 13:58:04.254390: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-09 13:58:05.786420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1638] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14561 MB memory:  -> device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0000:2f:00.0, compute capability: 7.0
2023-04-09 13:58:06.047489: F ./tensorflow/core/util/gpu_launch_config.h:160] Check failed: work_element_count >= 0 (0 vs. -549025096)
Aborted (core dumped)
```
</details>