Repository: tensorflow
Issue: Encountered unresolved custom op: XlaDynamicSlice
Labels: stat:awaiting tensorflower,type:bug,comp:lite,TFLiteConverter,TF 2.18

Hi, i am doing a task in converting T5 model to TFLite for Android. Currently, i am using T5ModelForConditionalGeneration from Huggingface to convert. The conversion is done with some below logging but when load the `generator` from Interpretor, and run an inference example, i have faced this error. You can reproduce with the colab provided below. AFAIK, this XlaDynamicSlice is in TF ops but why this op cannot be resolved in this cases. 

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 20.04
- TensorFlow installed from (source or binary): PyPI 24.0 on Python 3.11.5
- TensorFlow version (or github SHA if from source): 2.18.0


**Provide the text output from tflite_convert**
In colab version, tflite_convert doesn't log anything, below log is in my local version
```
INFO:tensorflow:Assets written to: /tmp/tmpaxxybw9x/assets
INFO:tensorflow:Assets written to: /tmp/tmpaxxybw9x/assets
W0000 00:00:1736157114.568747 1061359 tf_tfl_flatbuffer_helpers.cc:365] Ignored output_format.
W0000 00:00:1736157114.568765 1061359 tf_tfl_flatbuffer_helpers.cc:368] Ignored drop_control_dependency.
2025-01-06 16:51:54.568997: I tensorflow/cc/saved_model/reader.cc:83] Reading SavedModel from: /tmp/tmpaxxybw9x
2025-01-06 16:51:54.645325: I tensorflow/cc/saved_model/reader.cc:52] Reading meta graph with tags { serve }
2025-01-06 16:51:54.645352: I tensorflow/cc/saved_model/reader.cc:147] Reading SavedModel debug info (if present) from: /tmp/tmpaxxybw9x
2025-01-06 16:51:55.085153: I tensorflow/cc/saved_model/loader.cc:236] Restoring SavedModel bundle.
2025-01-06 16:51:56.061632: I tensorflow/cc/saved_model/loader.cc:220] Running initialization op on SavedModel bundle at path: /tmp/tmpaxxybw9x
2025-01-06 16:51:56.517300: I tensorflow/cc/saved_model/loader.cc:466] SavedModel load for tags { serve }; Status: success: OK. Took 1948307 microseconds.
2025-01-06 16:52:30.233639: W tensorflow/compiler/mlir/lite/flatbuffer_export.cc:3825] TFLite interpreter needs to link Flex delegate in order to run the model since it contains the following Select TFop(s):
Flex ops: FlexStridedSlice
Details:
	tf.StridedSlice(tensor<?x?x?xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> (tensor<?x1x?x?xf32>) : {begin_mask = 13 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 13 : i64, new_axis_mask = 2 : i64, shrink_axis_mask = 0 : i64}
See instructions: https://www.tensorflow.org/lite/guide/ops_select
2025-01-06 16:52:30.233666: W tensorflow/compiler/mlir/lite/flatbuffer_export.cc:3836] The following operation(s) need TFLite custom op implementation(s):
Custom ops: XlaDynamicSlice
Details:
	tf.XlaDynamicSlice(tensor<1x12x?x?xf32>, tensor<4xi64>, tensor<4xi64>) -> (tensor<1x12x1x?xf32>) : {device = ""}
See instructions: https://www.tensorflow.org/lite/guide/ops_custom
```

**Standalone code to reproduce the issue** 
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.
My reproduce code in Colab: https://colab.research.google.com/drive/1Rmhc_vpJSa7M1Vt-4ugV5uORaEfRJMOw?usp=sharing
Also, please include a link to a GraphDef or the model if possible.

**Any other info / logs**

Include any logs or source code that would be helpful to diagnose the problem.
If including tracebacks, please include the full traceback. Large logs and files
should be attached.