Overflow bug when running tf.compat.v1.keras.layers.ZeroPadding2D
Hi @dmc1778 ,  

The reported behaviour is replicated with Tf2.13v and tf-nightly and attached gists [2.13v](https://colab.sandbox.google.com/gist/SuryanarayanaY/83a3bfab80ac66fdfffa8901f0c005f7/61625.ipynb) and [nightly](https://colab.sandbox.google.com/gist/SuryanarayanaY/0452ebe256e7bdc64e3901bf83943f4a/61625-nightly.ipynb) for reference. @dmc1778 ,

Please refer to the responses of Developer team related to the exception raised [response1](https://github.com/tensorflow/tensorflow/issues/61630#issuecomment-1685333019) and [response2](https://github.com/tensorflow/tensorflow/issues/61629#issuecomment-1686504422) stating it as intended behaviour. 

The **OP_REQUIRES_OK** tries to allocate the memory for the inputs and outputs before  performing computations and it fails. The same error returned to python and its adding more details to error log.

As requested please read [SECURITY.md](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) to disclose these types of issues  Not an issue, it's a normal error returned to the user. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61625">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61625">No</a>

### 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 elements in the input list

### 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 = 125091515651
  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,]
  data_format = None
  arg_class = tf.compat.v1.keras.layers.ZeroPadding2D(padding=padding,data_format=data_format,)
  arg_input_0_tensor = tf.random.uniform([3, 14, 14, 576], 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 750549093948 with 250183031316, result: -1
	 [[{{node Pad}}]] [Op:Pad]

Call arguments received by layer 'zero_padding2d' (type ZeroPadding2D):
  • inputs=tf.Tensor(shape=(3, 14, 14, 576), dtype=float32)

```
```
