`segmentation fault` in `tf.raw_ops.AddManySparseToTensorsMap` when `sparse_indices` and `sparse_values` are empty and `sparse_shape` is too large.
@SuryanarayanaY I was able to replicate this issue [here](https://colab.research.google.com/gist/sushreebarsa/3cd42ccbfb34479e2e718d0db63ec60a/-11_tf_raw_ops_addmanysparsetotensorsmap.ipynb). Thank you!
### 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?

`segmentation fault` in `tf.raw_ops.AddManySparseToTensorsMap` when `sparse_indices` and `sparse_values` are empty and `sparse_shape` is too large, which causes the program to crash. See the colab link below for details.

### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/drive/1KNuiyCMsSo32teT3lNwYyYbQkD9tEBET?usp=sharing
```


### Relevant log output

```shell
segmentation fault (core dumped)
```
