TFLite model with `l2_normalize(tf.transpose(x))` produces wrong outputs
I was able to reproduce this in TF 2.14 and nightly as well. Please find this [gist](https://colab.research.google.com/gist/pjpratik/ebeaf229c5c8e161fa24ea6c76b75e4a/61968.ipynb).

@pkgoogle Could you please look into this issue?

Thanks. I was able to reproduce with the same gist as above, @haozha111, can you please take a look? Thanks.
### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 20.04
- TensorFlow installation (pip package or built from source): pip
- TensorFlow library (version, if pip package or github SHA, if built from source): 2.15.0-dev20230924

### 2. Code

```python

import tensorflow as tf
import numpy as np

class Model(tf.keras.Model):

  def __init__(self):
    super(Model, self).__init__()
    self.b = tf.Variable(np.array([[1],[2]],dtype=np.float32))

  def call(self, x):
    x = tf.add(x,1)
    return tf.math.l2_normalize(tf.transpose(x))

# Initializing the model
m = Model()

# Call model
input_shape = [1, 1, 2]
x1 = tf.constant(1., shape=input_shape)
y1 = m(x1)
print('expected model output:')
print(y1)


converter = tf.lite.TFLiteConverter.from_keras_model(m)
tflite_model = converter.convert()

def _evaluateTFLiteModel(tflite_model, input_data):
    interpreter = tf.lite.Interpreter(model_content=tflite_model)
    interpreter.allocate_tensors()
    input_details = interpreter.get_input_details()
    output_details = interpreter.get_output_details()

    for i in range(len(input_data)):
        interpreter.set_tensor(input_details[i]['index'], input_data[i])
    interpreter.invoke()
    output_data = [interpreter.get_tensor(output_details[i]['index'])
                   for i in range(len(output_details))]
    return output_data


actual_value = _evaluateTFLiteModel(tflite_model,[x1])
print('tflite model output:')
print(actual_value[0])
```
### 3. Failure after conversion
Output:
```
expected model output:
tf.Tensor(
[[[0.70710677]]

 [[0.70710677]]], shape=(2, 1, 1), dtype=float32)
tflite model output:
[[[1.]]

 [[1.]]]
```