tf.bitcast throws InternalError
Hi, @trickiwoo 

I was able to replicate the issue on `Ubuntu 20.04` with `tf-nightly-2.13.0-dev20230204` with GPU and even I also replicated on Google Colab(`GPU`) with `tf-nightly-2.13.0-dev20230207` here is [gist file](https://colab.research.google.com/gist/gaikwadrahul8/548c2266dc8e4f53b60bd8617830e9f2/-59583-tf-nightly-gpu.ipynb) for your reference. I was getting the same error message which you mentioned in the above error log. I have added error screenshot below for your reference so it seems like we will have to dig more into this issue with `GPU` execution to find out root cause for it so we will update soon.

I replicated the same issue with `CPU` on `Ubuntu 20.04` with `tf-nightly-2.13.0-dev20230204` and on Google Colab, here is [gist file ](https://colab.research.google.com/gist/gaikwadrahul8/733b3c800824e3edfdd7546ff5556727/-59583-tf-nightly-cpu.ipynb)and it's not throwing error message `tensorflow.python.framework.errors_impl.InternalError: Assigned device '/job:localhost/replica:0/task:0/device:GPU:0' does not have registered OpKernel support for _Arg [[{{node input}}]] [Op:Bitcast] `


Here is screenshot of CPU execution :

![image](https://user-images.githubusercontent.com/115997457/217254535-1b3aa5f6-e429-4099-9818-8f361297e9e3.png)

Here is screenshot of GPU execution :

![image](https://user-images.githubusercontent.com/115997457/217256211-2cf2b65d-e20e-4533-a45d-e887d8f0cbc5.png)

Thank you for noticing the issue and we will update you soon. Thank you! Internal error is a valid error message if arguments are invalid.

In this case, you are trying to run a kernel on a device that does not support it with the given types This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.
 Closing as stale. Please reopen if you'd like to work on this further.
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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

Yes

### Source

source

### Tensorflow Version

2.13.0.dev20230204

### Custom Code

Yes

### OS Platform and Distribution

Ubuntu 20.04.4 LTS

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

```shell
tf.bitcast throws InternalError
```


### Standalone code to reproduce the issue

```shell
tf.bitcast(tf.cast([0,32768,65535], tf.quint16), tf.qint16)
```


### Relevant log output

```shell
tensorflow.python.framework.errors_impl.InternalError: Assigned device '/job:localhost/replica:0/task:0/device:GPU:0' does not have registered OpKernel support for _Arg
         [[{{node input}}]] [Op:Bitcast]
```
</details>