Integer overflow when running tf.raw_ops.MatrixDiagV3 on colab
Hi @dmc1778 ,

It is not an issue, that's an error that is being returned to the user instead of performing bad computations.
Please consult again the SECURITY.md guide.

Thank you!! Closing as not a real issue. 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/61602">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/61602">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 input lists

### Standalone code to reproduce the issue

```shell
results = dict()
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 = 35.0
  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,]
  k = 3046875451
  num_rows = -1
  num_cols = -1
  padding_value = 0
  align = "RIGHT_LEFT"
  name = "diag_part"
  out = tf.raw_ops.MatrixDiagV3(diagonal=diagonal,k=k,num_rows=num_rows,num_cols=num_cols,padding_value=padding_value,align=align,name=name,)
except Exception as e:
  print("Error:"+str(e))

print(results)
```
```


### Relevant log output

```shell
Error:{{function_node __wrapped__MatrixDiagV3_device_/job:localhost/replica:0/task:0/device:GPU:0}} Encountered overflow when multiplying 9984734776 with 1248091847, result: -5984878005326580344
	 [[{{node MatrixDiagV3}}]] [Op:MatrixDiagV3]
{}
```
```
