A check fail can be triggered in ThreadUnsafeUnigramCandidateSampler
@SuryanarayanaY 
I was able to reproduce the issue on Coalb using TF v2.12 and tf-nightly. Please find the gist of [2.12](https://colab.research.google.com/gist/tiruk007/44dd95a1bb2324ccc3bc3afbc97838a1/untitled180.ipynb) and [tf-nightly](https://colab.research.google.com/gist/tiruk007/029818642e75ec9351c6c00c1341403f/untitled180.ipynb) for reference.

Thank you ! Checked in tf-nightly(2.15.0-dev20231004). Crash due to check fail.

<img width="1509" alt="Screenshot 2023-10-04 at 3 00 34 PM" src="https://github.com/tensorflow/tensorflow/assets/116063290/455d7556-4cbf-41ac-805a-982984968e0e">

<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-dev20230331

### Custom Code

No

### 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.ThreadUnsafeUnigramCandidateSampler` 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"):
    num_true = 11
    num_sampled = 2
    unique = False
    range_max = 7612169259283414040
    seed = -111
    seed2 = -11
    true_classes = tf.saturate_cast(tf.random.uniform([12, 11], minval=-1024, maxval=1024, dtype=tf.int64), dtype=tf.int64)
    res = tf.raw_ops.ThreadUnsafeUnigramCandidateSampler(
        num_true=num_true,
        num_sampled=num_sampled,
        unique=unique,
        range_max=range_max,
        seed=seed,
        seed2=seed2,
        true_classes=true_classes,
    )
```


### Relevant log output

```shell
2023-04-01 16:33:33.009606: 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`.
2023-04-01 16:33:33.057487: 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.
2023-04-01 16:33:33.874853: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-01 16:33:35.397082: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1635] 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
2023-04-01 16:33:40.359234: F tensorflow/core/kernels/range_sampler.cc:183] Check failed: range < kint32max (7612169259283414040 vs. 2147483647)
Aborted (core dumped)
```
</details>