How to create XLA compiled model from a TF Saved Model
@sushreebarsa Can you help with above query? I want to see how I can use XLA with TF to enable CUDA Graphs @ndeep27 There isn't a direct way to create an XLA compiled model from a TensorFlow SavedModel in TensorFlow 2.  Please refer to this [official](https://www.tensorflow.org/api_docs/python/tf/xla) documentation. Could you try to consider converting your SavedModel to a TFLite model. TFLite utilizes its own interpreter and optimizations, potentially achieving similar performance benefits on mobile and embedded devices.
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

Others

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

No

### Source

source

### TensorFlow version

TF 2.11

### Custom code

No

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

NONE

### Standalone code to reproduce the issue

```shell
I have a TF Saved Model which I want to convert to a CUDA Graph. I see that there is initial implmentation of CUDA Graphs in XLA here - https://github.com/tensorflow/tensorflow/commit/563c2ab50c43d16149ccfa143c8f97ebdb800a7e

How can I use XLA to convert a TF Saved Model to a CUDA Graph?
```


### Relevant log output

_No response_