Abort when running tensorflow.python.ops.gen_sparse_ops.sparse_slice
Please always test with the latest version. Testing with versions from last year cause needless work as people now have to spend time to reproduce issues in nightly/last release. @dmc1778 ,
I tried to execute the mentioned code on tf-nightly and it was executed without any abort. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/bdcb22cec1e06a08832500d54c4b0e45/61561.ipynb) and most of the bugs are resolved in the latest versions. Thank you! 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/61561">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/61561">No</a>

### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.10.0

### 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 Large List Elements

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import gen_sparse_ops
try:
  indices_0 = []
  indices = [indices_0,]
  values_0 = 0
  values = [values_0,]
  shape_0 = 1
  shape_1 = 1
  shape = [shape_0,shape_1,]
  start_0 = 4611686018427387904
  start_1 = -1
  start = [start_0,start_1,]
  size_0 = 4611686018427387904
  size_1 = 4611686018427387904
  size = [size_0,size_1,]
  out = gen_sparse_ops.sparse_slice(indices=indices,values=values,shape=shape,start=start,size=size,)
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
2023-08-14 19:04:18.473689: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.490933: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.491133: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.491455: 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.
2023-08-14 19:04:18.492102: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.492212: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.492308: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.560188: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.560326: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.560424: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 19:04:18.560508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1616] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 4029 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
2023-08-14 19:04:18.619230: E tensorflow/stream_executor/cuda/cuda_event.cc:29] Error polling for event status: failed to query event: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2023-08-14 19:04:18.619470: F tensorflow/core/common_runtime/device/device_event_mgr.cc:221] Unexpected Event status: 1
Aborted

```
```
