Overflow bug when running tf.keras.layers.ZeroPadding2D
Not an issue, that's an error that is being returned to the user instead of performing bad computations.

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### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.13.0

### 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?

Due to large list element

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import os
import numpy as np
try:
  padding_0_0 = 125091515651
  padding_0_1 = False
  padding_0 = [padding_0_0,padding_0_1,]
  padding_1_0 = 125091515651
  padding_1_1 = 125091515651
  padding_1 = [padding_1_0,padding_1_1,]
  padding = [padding_0,padding_1,]
  arg_class = tf.keras.layers.ZeroPadding2D(padding=padding,)
  arg_input_0_tensor = tf.random.uniform([3, 300, 300, 192], dtype=tf.float32)
  arg_input_0 = tf.identity(arg_input_0_tensor)
  arg_input = [arg_input_0,]
  out = arg_class(*arg_input)
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
['{{function_node __wrapped__Pad_device_/job:localhost/replica:0/task:0/device:GPU:0}} Encountered overflow when multiplying 2501999793529 with 2501999793530, result: -1\n', '\t [[{{node Pad}}]] [Op:Pad]\n', '\n', "Call arguments received by layer 'zero_padding2d' (type ZeroPadding2D):\n", ' • inputs=tf.Tensor(shape=(1, 1, 2, 2), dtype=float32)\n']
```
```
