Title: TensorFlow/Keras Integration Error: A KerasTensor cannot be used as input to a TensorFlow function
@ShoumitroC Could you try to use  keras.layers.Lambda layer that allows you to define a custom function using a Python lambda expression that can operate on KerasTensors within the model building process?
Please upgrade to the latest TF version and if the issue still persists then kindly provide the standalone code to replicate this issue?
Thank you!
### Issue type

Build/Install

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

Yes

### Source

binary

### TensorFlow version

2.13.0

### Custom code

Yes

### OS platform and distribution

Mac OS x86-64

### Mobile device

Macbook

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I'm working on an image processing project using InsightFace and OpenNSFW2. I'm encountering an error with TensorFlow and Keras integration. When I try to use tf.pad on a tensor, I get the following error:

ValueError: A KerasTensor cannot be used as input to a TensorFlow function. A KerasTensor is a symbolic placeholder for a shape and dtype, used when constructing Keras Functional models or Keras Functions. You can only use it as input to a Keras layer or a Keras operation (from the namespaces `keras.layers` and `keras.operations`). You are likely doing something like:



### Standalone code to reproduce the issue

```shell
ValueError: A KerasTensor cannot be used as input to a TensorFlow function. A KerasTensor is a symbolic placeholder for a shape and dtype, used when constructing Keras Functional models or Keras Functions. You can only use it as input to a Keras layer or a Keras operation (from the namespaces `keras.layers` and `keras.operations`). You are likely doing something like:

x = Input(...)
...
tf_fn(x)  # Invalid.


I've tried wrapping tf.pad in a custom layer as suggested, but I'm still getting the error. Here's the relevant code snippet:

class MyLayer(Layer):
    def call(self, x):
        return tf.pad(x, [[0, 0], [3, 3], [3, 3], [0, 0]], "CONSTANT")

# Usage
x = MyLayer()(x)


Could someone please help me understand what I'm doing wrong and how to fix it?

Thank you!
```


### Relevant log output

_No response_