Body function of `while_loop` cannot access the external variable after compilation 
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 closed as this is intended behaviour
### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

2.15.0-dev20230914

### Custom code

Yes

### 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?

The body function of `while_loop` cannot access the external variable after compilation. It will raise the error `UnboundLocalError: local variable 'x' referenced before assignment`

However, if I run the model without the `@tf.function(jit_compile=True)`, the model can be executed without any error.

### Standalone code to reproduce the issue

```shell
class Model(tf.keras.Model):

  def __init__(self):
    super(Model, self).__init__()

  @tf.function(jit_compile=True) # Comment this line, it will succeed
  def call(self, x):

    def cond(i, _):
      return i < 10

    def body(i, y):
      y = tf.math.add(y, 2.0)
      x = tf.math.multiply(x, 2.0)
      return [tf.math.subtract(i, 1), y + x]

    i = tf.constant(10)
    y = tf.constant(1.0)
    _, final_y = tf.while_loop(cond, body, [i, y], shape_invariants=[i.shape, y.shape])
    return final_y

m = Model()
input_shape = [1,2]
x = tf.constant([4.,5.], shape=input_shape)

y = m(x)
```


### Relevant log output

```shell
UnboundLocalError: Exception encountered when calling layer 'model_28' (type Model).

in user code:

    File "<ipython-input-31-1eb50a9c2c75>", line 16, in body  *
        x = tf.math.multiply(x, 2.0)

    UnboundLocalError: local variable 'x' referenced before assignment


Call arguments received by layer 'model_28' (type Model):
  • x=tf.Tensor(shape=(1, 2), dtype=float32)
```
