Integer overflow when running tf.compat.v1.matrix_diag on colab
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/be183efd14ef95066c4168fea6b5533a/61604-2-13v.ipynb) and [nightly](https://colab.sandbox.google.com/gist/SuryanarayanaY/f101504321c8e70a0a4c9ac570b27398/61604-tf-nightly.ipynb) for reference. @dmc1778 ,

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

The Op 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. This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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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 elements in the input lists

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import os
import numpy as np
try:
  diagonal_0_0_0_0 = 1111
  diagonal_0_0_0_1 = 1112
  diagonal_0_0_0 = [diagonal_0_0_0_0,diagonal_0_0_0_1,]
  diagonal_0_0_1_0 = 1121
  diagonal_0_0_1_1 = 1122
  diagonal_0_0_1 = [diagonal_0_0_1_0,diagonal_0_0_1_1,]
  diagonal_0_0 = [diagonal_0_0_0,diagonal_0_0_1,]
  diagonal_0_1_0_0 = 1211
  diagonal_0_1_0_1 = 1212
  diagonal_0_1_0 = [diagonal_0_1_0_0,diagonal_0_1_0_1,]
  diagonal_0_1_1_0 = 1221
  diagonal_0_1_1_1 = 1222
  diagonal_0_1_1 = [diagonal_0_1_1_0,diagonal_0_1_1_1,]
  diagonal_0_1 = [diagonal_0_1_0,diagonal_0_1_1,]
  diagonal_0 = [diagonal_0_0,diagonal_0_1,]
  diagonal_1_0_0_0 = 2111
  diagonal_1_0_0_1 = 2112
  diagonal_1_0_0 = [diagonal_1_0_0_0,diagonal_1_0_0_1,]
  diagonal_1_0_1_0 = 2121
  diagonal_1_0_1_1 = 2122
  diagonal_1_0_1 = [diagonal_1_0_1_0,diagonal_1_0_1_1,]
  diagonal_1_0 = [diagonal_1_0_0,diagonal_1_0_1,]
  diagonal_1_1_0_0 = 2211
  diagonal_1_1_0_1 = 2212
  diagonal_1_1_0 = [diagonal_1_1_0_0,diagonal_1_1_0_1,]
  diagonal_1_1_1_0 = 2221
  diagonal_1_1_1_1 = 2222
  diagonal_1_1_1 = [diagonal_1_1_1_0,diagonal_1_1_1_1,]
  diagonal_1_1 = [diagonal_1_1_0,diagonal_1_1_1,]
  diagonal_1 = [diagonal_1_0,diagonal_1_1,]
  diagonal = [diagonal_0,diagonal_1,]
  name = "None"
  k = 1610637938
  padding_value = 0
  align = "RIGHT_LEFT"
  out = tf.compat.v1.matrix_diag(diagonal=diagonal,name=name,k=k,padding_value=padding_value,align=align,)
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
Error:{{function_node __wrapped__MatrixDiagV3_device_/job:localhost/replica:0/task:0/device:CPU:0}} Encountered overflow when multiplying 12885103520 with 1610637940, result: -1 [Op:MatrixDiagV3]
{}

```
```
