Abort when running
Hi @dmc1778 ,

The issue seems resolved already from TF2.12 onwards. I have tested the code and its raising intended error without abort in Tf2.12 and tf-nightly as well.Please refer attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/8e096b58e03a15983accd675cbe9a9a2/61543_2-12_nightly_2-11.ipynb).

I even tried with TF2.11v even there it's raising intended error only even multiple runs in attached colab gist. Could you please verify it again. Thanks! 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. Closing as resolved at head 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/61543">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61543">No</a>

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

binary

### TensorFlow version

2.11.0

### Custom code

Yes

### OS platform and distribution

22.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

nvidia-cudnn-cu11==8.6.0.163, cudatoolkit=11.8.0

### GPU model and memory

_No response_

### Current behavior?

Due to a Negative Large Integer. The behavior is bizarre. It would be best if you ran multiple times to see the Abort.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import numpy as np
from tensorflow.python.ops import gen_math_ops
try:
  try:
    with tf.device('/CPU'):
      splits_tensor = tf.constant(-1000000, shape=[129, 1, 1], dtype=tf.float16,)
      splits = tf.identity(splits_tensor)
      values_tensor = tf.saturate_cast(tf.constant(-153, shape=[3456], dtype=tf.int64,),dtype=tf.uint64)
      values = tf.identity(values_tensor)
      weights_tensor = tf.saturate_cast(tf.constant(-1012756988, shape=[128, 27], dtype=tf.int64,),dtype=tf.int16)
      weights = tf.identity(weights_tensor)
      size = -3046875451
      out = gen_math_ops.ragged_bincount(splits=splits,values=values,weights=weights,size=size,)
  except Exception as e:
    print("Error:"+str(e))
  try:
    with tf.device('/GPU:0'):
      splits = tf.identity(splits_tensor)
      splits = tf.cast(splits, tf.float16)
      values = tf.identity(values_tensor)
      values = tf.cast(values, tf.uint64)
      weights = tf.identity(weights_tensor)
      weights = tf.cast(weights, tf.int16)
      gen_math_ops.ragged_bincount(splits=splits,values=values,weights=weights,size=size,)
  except Exception as e:
    print("Error:"+str(e))
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
2023-08-13 01:58:36.322308: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2023-08-13 01:58:37.120869: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.139665: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.139841: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.140154: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-08-13 01:58:37.140677: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.140794: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.140896: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.187990: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.188156: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.188267: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 01:58:37.188356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1613] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 152 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
Error:can't convert negative int to unsigned
2023-08-13 01:58:37.207611: I tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:735] failed to allocate 152.81M (160235520 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2023-08-13 01:58:37.207886: I tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:735] failed to allocate 137.53M (144211968 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2023-08-13 01:58:37.208138: I tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:735] failed to allocate 123.78M (129790976 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2023-08-13 01:58:37.213816: F ./tensorflow/python/eager/pywrap_tensor_conversion.h:58] Check failed: !PyErr_Occurred() 
Aborted
```
```
