`Overflow` in `tf.raw_ops.SerializeManySparse` when there are too large values in `sparse_shape`.
@xl1043237213,
I tried it on a VM with Ubuntu 22.04 OS and executed the code multiple times which executed without crash in multiple runs and outputs intended error.
![Screenshot 2024-04-16 6 13 50 PM](https://github.com/tensorflow/tensorflow/assets/81610181/35458285-ff43-4bc4-a99c-c04cc4c2255c)

And also observed that the issue/error is occuring whenever the input size is **>=8 digit number. With the <7 digit number** as input, the code was executed without any issue and the output is also as expected. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/31966921c979a2b7880bb899786fcfe5/untitled1855.ipynb).

Thank you!
 Thanks for your response.
I will keep tracking the issue and waiting for the root cause of the bug. I think it's an unexpected execution behavior and hoping that TensorFlow will fix the bug soon.
### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

tf 2.15

### Custom code

No

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.10

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

 When there are too large values in `sparse_shape`  while `sparse_indices` and `sparse_values` are empty, ``tf.raw_ops.SerializeManySparse`` triggers overflow error.

### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/drive/1itdHdvRiR28lfLLBay-2sUuKSX_IzBPC?usp=sharing
```


### Relevant log output

```shell
Non-OK-status: InitDims(dim_sizes) status: INVALID_ARGUMENT: Encountered overflow when multiplying 7777777777777777777 with 3, result: -1
```
