Help needed to load tflite model
Hi @acode-x,

I have reproduced the code on Debian GNU/Linux 12 (bookworm) with TF 2.14.1. The LSTM model is successfully converted to TFLite and inferencing on the same  platform also done and no errors found. Screenshots are attached below. Regarding the error which you encountered ....please confirm, on which platform you have taken the inference?

![image](https://github.com/tensorflow/tensorflow/assets/149650845/df8e0744-1cb1-4084-a57a-ebf4ed1ec5e4)

![image](https://github.com/tensorflow/tensorflow/assets/149650845/ada7d2ba-c7f3-4cb3-919d-8b0df5f4ee8b)

Thank You
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### 1. System information

- OS Platform and Distribution: Debian GNU/Linux 12 (bookworm)
- TensorFlow installation: pip
- TensorFlow library: 2.14.1
- tflite-runtime library: 2.14.0

### 2. Code
```python
model = Sequential([
  LSTM(32, return_sequences=True, input_shape=(window_size, 1)),
  Dropout(0.2),
  LSTM(32, return_sequences=True),
  Dropout(0.2),
  LSTM(16, return_sequences=False),
  Dense(n_steps_out),
])
model.save('testttt-2')

from tensorflow import lite

converter = lite.TFLiteConverter.from_saved_model('testttt-2')
converter.optimizations = [lite.Optimize.DEFAULT]
converter.target_spec.supported_ops = [lite.OpsSet.TFLITE_BUILTINS, lite.OpsSet.SELECT_TF_OPS]
tflite_model = converter.convert()

with open('testttt-2.tflite', 'wb') as f:
  f.write(tflite_model)
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

Output when converting:

```bash
2024-03-08 18:52:13.471941: I tensorflow/cc/saved_model/loader.cc:316] SavedModel load for tags { serve }; Status: success: OK. Took 189169 microseconds.
2024-03-08 18:52:13.616872: W tensorflow/compiler/mlir/lite/flatbuffer_export.cc:2178] TFLite interpreter needs to link Flex delegate in order to run the model since it contains the following Select TFop(s):
Flex ops: FlexTensorListReserve, FlexTensorListSetItem, FlexTensorListStack
Details:
	tf.TensorListReserve(tensor<2xi32>, tensor<i32>) -> (tensor<!tf_type.variant<tensor<?x16xf32>>>) : {device = ""}
	tf.TensorListReserve(tensor<2xi32>, tensor<i32>) -> (tensor<!tf_type.variant<tensor<?x32xf32>>>) : {device = ""}
	tf.TensorListSetItem(tensor<!tf_type.variant<tensor<?x16xf32>>>, tensor<i32>, tensor<?x16xf32>) -> (tensor<!tf_type.variant<tensor<?x16xf32>>>) : {device = "", resize_if_index_out_of_bounds = false}
	tf.TensorListSetItem(tensor<!tf_type.variant<tensor<?x32xf32>>>, tensor<i32>, tensor<?x32xf32>) -> (tensor<!tf_type.variant<tensor<?x32xf32>>>) : {device = "", resize_if_index_out_of_bounds = false}
	tf.TensorListStack(tensor<!tf_type.variant<tensor<?x16xf32>>>, tensor<2xi32>) -> (tensor<1x?x16xf32>) : {device = "", num_elements = 1 : i64}
	tf.TensorListStack(tensor<!tf_type.variant<tensor<?x32xf32>>>, tensor<2xi32>) -> (tensor<?x?x32xf32>) : {device = "", num_elements = -1 : i64}
See instructions: https://www.tensorflow.org/lite/guide/ops_select
```

### 3. Failure after conversion
Output when loading and trying to infer using tflite
```bash
RuntimeError: Select TensorFlow op(s), included in the given model, is(are) not supported by this interpreter.
Make sure you apply/link the Flex delegate before inference.
For the Android, it can be resolved by adding "org.tensorflow:tensorflow-lite-select-tf-ops" dependency. See instructions: https://www.tensorflow.org/lite/guide/ops_selectNode number 5 (FlexTensorListReserve) failed to prepare.
```

I am not sure how to get this working on my edge device - Debian GNU/Linux 12 which has tflite-runtime.
Requesting guidance on same.
Thanks