Segmentation fault when running tensorflow.python.eager.context.check_alive
@dmc1778  I was able to replicate this issue on colab, please find the attached [gist](https://colab.research.google.com/gist/sushreebarsa/c69fc9c0cde97f7378518fc5ee8fe8ab/61533.ipynb) here. 
Since Segmentation faults can be considered as potential security vulnerabilities please read [SECURITY.md](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) and report them through proper channel as mentioned in SECURITY.md.
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. 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?
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### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.13.0

### 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?

Probably due to invalid string argument.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import numpy as np
from tensorflow.python.eager import context
try:
  try:
    with tf.device('/CPU'):
      arg_0 = "/job:remote_device/replica:0/task:1"
      out = context.check_alive(arg_0,)
  except Exception as e:
    print("Error:"+str(e))
  try:
    with tf.device('/GPU:0'):
      context.check_alive(arg_0,)
  except Exception as e:
    print("Error:"+str(e))
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
/cudnn/lib:
2023-08-12 15:27:22.605920: 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.
2023-08-12 15:27:23.511442: 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
2023-08-12 15:27:23.533020: 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
2023-08-12 15:27:23.533197: 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
2023-08-12 15:27:23.533535: 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.
2023-08-12 15:27:23.534136: 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
2023-08-12 15:27:23.534277: 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
2023-08-12 15:27:23.534432: 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
2023-08-12 15:27:23.605501: 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
2023-08-12 15:27:23.605704: 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
2023-08-12 15:27:23.605831: 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
2023-08-12 15:27:23.605930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1613] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 77 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
Segmentation fault

```
```
