Segmentation fault in `tf.config.experimental_connect_to_cluster` with `@tf.function`
Hi @Zoeeeeey ,

Thanks for reporting. As mentioned I have tested the code snippet in tf-nightly without tf.function decorator and it executes fine. With tf.function decorator it seems going through infinite loop as I waited for more than 5 mins and still it continuous to execute but couldn't get `segmentation fault` error. 

<img width="1511" alt="Screenshot 2024-04-17 at 11 58 57 AM" src="https://github.com/tensorflow/tensorflow/assets/116063290/6b4a76b6-8738-481a-a1dd-94c4da598695">
 Hi @SuryanarayanaY ,

1.When I tried to replicate this reported, I initially encountered a situation where there was 'no response' and 'no termination' during the first run. 

When I used `ctrl+c` to terminate the program and ran it again, I encountered a Segmentation fault (core dumped).

My envs which occurs segfault：
```
Python 3.9
tensorflow 2.16.1
gcc version 7.5.0 (Ubuntu 7.5.0-3ubuntu1~18.04)
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Nov_30_19:08:53_PST_2020
Cuda compilation tools, release 11.2, V11.2.67
Build cuda_11.2.r11.2/compiler.29373293_0
```

2.Nevertheless, there are situations where the behavior is inconsistent, whether adding `@tf.function` or not. 

For example, the part that contains pass can be replaced with a print statement. 

When `@tf.function` is added, the program fails to terminate normally. 

Why is this the case?

3.Additionally, I have a question about the `tf.config.experimental_connect_to_cluster` function. 

I'm unclear about the exact content that should be passed into the first parameter `cluster_spec_or_resolver`.

For example, in this case, a cluster is created with `tf.train.ClusterSpec`, but the specified workers (such as `"worker0.example.com:2222"`) do not actually exist. 

What should be the correct content to set for this parameter?

4.Additionally, to facilitate your replication, I have attempted to create a gist in Colab. Please consult it.(https://colab.research.google.com/gist/Zoeeeeey/1782cc57b0a63d8c6a022eeae0977235/62522_tf-nightly-v.ipynb)

Thank you for any response. ;->
### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

tf 2.16.1

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

12.0

### GPU model and memory

_No response_

### Current behavior?

When configuring `tf.config.experimental_connect_to_cluster` and using the `@tf.function` decorator on a function, 
even though the function's content is `pass`, a `Segmentation fault (core dumped)` still occurs.

When the `@tf.function` decorator is commented out, the program executes with a return code of 0 and no errors occur.


### Standalone code to reproduce the issue

```shell
This simple code repeats the problem:

import tensorflow as tf

cluster = tf.train.ClusterSpec({"worker": ["worker0.example.com:2222",
                                           "worker1.example.com:2222",
                                           "worker2.example.com:2222"],
                                "ps": ["ps0.example.com:2222",
                                       "ps1.example.com:2222"]})

tf.config.experimental_connect_to_cluster(
    cluster,
    job_name='worker',
    task_index=0
)


@tf.function
def test():
    pass

test()
```


### Relevant log output

```shell
The error message I got:

2024-04-15 13:29:11.263846: I tensorflow/core/util/port.cc:113] 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`.
2024-04-15 13:29:11.264202: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-04-15 13:29:11.267063: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-04-15 13:29:11.305386: I tensorflow/core/platform/cpu_feature_guard.cc:210] 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.
2024-04-15 13:29:11.992670: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2024-04-15 13:29:12.465636: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2251] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
E0415 13:29:12.509477560 2432185 server_chttp2.cc:40]        {"created":"@1713187752.509411414","description":"No address added out of total 1 resolved","file":"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/server/chttp2_server.cc","file_line":395,"referenced_errors":[{"created":"@1713187752.509406740","description":"Failed to add any wildcard listeners","file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_posix.cc","file_line":342,"referenced_errors":[{"created":"@1713187752.509393568","description":"Unable to configure socket","fd":15,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":216,"referenced_errors":[{"created":"@1713187752.509389969","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]},{"created":"@1713187752.509406103","description":"Unable to configure socket","fd":15,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":216,"referenced_errors":[{"created":"@1713187752.509403589","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]}
2024-04-15 13:29:12.509541: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:608] UNKNOWN: Could not start gRPC server
2024-04-15 13:29:12.509869: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:450] Could not start gRPC server
Segmentation fault (core dumped)
```
```
