Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence when call some methods of `tf.data`
@x0w3n,
I tried to execute the mentioned code on the tf-nightly GPU environment and haven't found out_of_range issues. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/30dc59b453b8cf03daf6defe345bece3/untitled1916.ipynb) and let me know if it is working as expected. Thank you! > @x0w3n, I tried to execute the mentioned code on the tf-nightly GPU environment and haven't found out_of_range issues. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/30dc59b453b8cf03daf6defe345bece3/untitled1916.ipynb) and let me know if it is working as expected. Thank you!

It seems that colab is not outputting debug messages, I can see the debug messages output when I run it with the idea tool on a physical machine.  As the last line of the debug message in the image shows:
![image](https://github.com/tensorflow/tensorflow/assets/165141765/b0eda0fd-c543-41e4-8c18-78c431d03611)
 i have the same problem!! @x0w3n,
I tried to execute the mentioned code on the tensorflow 2.16 GPU environment and haven't faced the issue. Also I observed that the mentioned OUT_OF_RANGE is the warning which might not effect the execution of the code and the output.

![Screenshot 2024-06-04 122243](https://github.com/tensorflow/tensorflow/assets/81610181/a2ab4c92-7701-43e5-a313-8954e3d1a9b2)


Thank you! I think this output may be caused by gpu unavailability. Although it does not affect the execution of the code, the reason for this output is still unknown. Thank you! @x0w3n,
The above code was executed in the GPU environment, and the output was also expected. In the screenshot it was available. Could you please provide the GPU details which you are trying. I suspect it might the GPU issue for the different output in your machine. Thank you!
### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 22.04.3 LTS (x86_64)

### Mobile device

_No response_

### Python version

3.12.3

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

When calling and iterating over the results of some of tf.data's methods it outputs "Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence".

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

def dataset_test():
 
    dataset = tf.data.Dataset.from_tensor_slices(["apple", "banana", "cherry"])
    # dataset = tf.data.TextLineDataset(["file1.txt", "file2.txt"]).range(10)             # same output
    # dataset = tf.data.TFRecordDataset(["file1.tfrecords", "file2.tfrecords"]).range(10) # same output
    # dataset = tf.data.Dataset.from_tensors([1,2,3]).range(10)                           # same output

    print(list(dataset.as_numpy_iterator()))

if __name__ == "__main__":
    dataset_test()
```


### Relevant log output

```shell
2024-05-24 06:23:06.268182: 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`.
2024-05-24 06:23:06.309884: 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.
2024-05-24 06:23:06.908161: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2024-05-24 06:23:07.558225: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22137 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:18:00.0, compute capability: 8.6
2024-05-24 06:23:07.558795: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 22453 MB memory:  -> device: 1, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:af:00.0, compute capability: 8.6
2024-05-24 06:23:07.917142: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence
```
