Experimental feature support for TFLite selective build 
The problem has been solved.
https://github.com/tensorflow/tensorflow/issues/59102 add the option echo -n "build --config=monolithic" >> /tensorflow_src/.bazelrc can avoid the _ZNK6google8protobuf7Message11GetTypeNameEv error.


<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Feature Request

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

Yes

### Source

source

### Tensorflow Version

2.11-tflite-android

### Custom Code

No

### Current Behaviour?

I have followed [the tutorial](https://www.tensorflow.org/lite/examples/on_device_training/overview) and made my TextCNN model have the ability of on-device-training. It works well with the prebuilt library for tensorflow-lite.

When trying to [reduce the binary size](https://www.tensorflow.org/lite/guide/reduce_binary_size) 
with the docker environment I found that the Java API such as `Interpreter#runSignature` is a part of experimental feature, which not enabled by the [tensorflow/lite/tools/build_aar.sh](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/build_aar.sh).

I have tried to add `experimental = True` to `tflite_custom_android_library()` function on line 73 of the `build_aar.sh` and rebuild, got the `tensorflow-lite.aar` and `tensorflow-lite-select-tf-ops.aar`. 

It seems that `tensorflow-lite.aar` does have the experimental feature code and works. But `tensorflow-lite-select-tf-ops.aar` failure to run on Android device with error:

```
java.lang.UnsatisfiedLinkError: dlopen failed: cannot locate symbol "_ZNK6google8protobuf7Message11GetTypeNameEv" referenced by "/data/app/*/lib/arm64/libtensorflowlite_flex_jni.so"...
```

I could not find any flag like `experimental = True` for select-tf-ops to enable. Is it possible to enable experimental features for TFLite selective build?


### Relevant log output

_No response_</details>