Abort when running tensorflow.python.ops.gen_sparse_ops.sparse_split
@dmc1778 After executing the code for multiple times as well, I was not able to replicate the issue reported. I have faced the error instead as below;
```
Error:{{function_node __wrapped__SparseSplit_num_split_2_device_/job:localhost/replica:0/task:0/device:CPU:0}} Expected a non-negative size, got -11 [Op:SparseSplit]
```
Please find the colab gist [here](https://colab.research.google.com/gist/sushreebarsa/bc5f582908d36aa093c95890e3809e07/61544.ipynb) in the latest versions. Thank you! > @dmc1778 After executing the code for multiple times as well, I was not able to replicate the issue reported. I have faced the error instead as below;
> 
> ```
> Error:{{function_node __wrapped__SparseSplit_num_split_2_device_/job:localhost/replica:0/task:0/device:CPU:0}} Expected a non-negative size, got -11 [Op:SparseSplit]
> ```
> 
> Please find the colab gist [here](https://colab.research.google.com/gist/sushreebarsa/bc5f582908d36aa093c95890e3809e07/61544.ipynb) in the latest versions. Thank you!

Did you try on 2.11.0? @dmc1778 Yes, the result is the same.  Thank you! 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/61544">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/61544">No</a>

### Issue type

Bug

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

No

### 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 zero integer argument. 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 os
import numpy as np
from tensorflow.python.ops import gen_sparse_ops
try:
  arg_0 = 0
  arg_1_tensor = tf.random.uniform([14, 2], minval=-256, maxval=257, dtype=tf.int64)
  arg_1 = tf.identity(arg_1_tensor)
  arg_2_tensor = tf.random.uniform([14], minval=-256, maxval=257, dtype=tf.int64)
  arg_2 = tf.identity(arg_2_tensor)
  arg_3_tensor = tf.random.uniform([2], minval=-256, maxval=257, dtype=tf.int64)
  arg_3 = tf.identity(arg_3_tensor)
  arg_4 = 2
  out = gen_sparse_ops.sparse_split(arg_0,arg_1,arg_2,arg_3,arg_4,)
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
2023-08-13 02:06:08.283954: 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 02:06:09.159348: 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 02:06:09.181201: 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 02:06:09.181463: 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 02:06:09.181927: 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 02:06:09.182527: 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 02:06:09.182681: 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 02:06:09.182809: 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 02:06:09.234678: 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 02:06:09.234880: 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 02:06:09.235018: 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 02:06:09.235129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1613] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 151 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
2023-08-13 02:06:09.251615: I tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:735] failed to allocate 151.69M (159055872 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2023-08-13 02:06:09.251958: I tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:735] failed to allocate 136.52M (143150336 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2023-08-13 02:06:09.273191: E tensorflow/compiler/xla/stream_executor/cuda/cuda_event.cc:29] Error polling for event status: failed to query event: CUDA_ERROR_MISALIGNED_ADDRESS: misaligned address
2023-08-13 02:06:09.273688: F tensorflow/core/common_runtime/device/device_event_mgr.cc:221] Unexpected Event status: 1
Aborted

```
```
