tf.tensor_scatter_nd_add: Aborted (core dumped)
@nonenone12135,
Could you please confirm whether you are facing this issue/error only for the specific input or for the every input which you are passing through. I tested with the different input it was executed without crashing. Kindly find the [gist](https://colab.research.google.com/gist/tilakrayal/1aa2c2b0310d7fef130a2f7e0978125c/untitled1751.ipynb).

Args:
indices--	A Tensor. Must be one of the following types: int32, int64. Index tensor.
updates-- A Tensor. Must have the same type as tensor. Updates to scatter into output.

Thank you! only for the specific input:
```
input_tensor = tf.zeros([15, 15, 15])
indices = tf.constant([[[0, 0, 0], [1, 1, 1]], [[2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5]], [[6, 6, 6], [7, 7, 7]], [[8, 8, 8], [9, 9, 9]], [[10, 10, 10], [11, 11, 11]], [[12, 12, 12], [13, 13, 13]], [[14, 14, 14], [0, 0, 0]], [[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]], [[5, 5, 5], [6, 6, 6]], [[7, 7, 7], [8, 8, 8]], [[9, 9, 9], [10, 10, 10]], [[11, 11, 11], [12, 12, 12]], [[13, 13, 13], [14, 14, 14]]])
updates = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0])
```

I tried the two examples you provided, and they worked fine.
### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

tf 2.15

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Under specific input, `tf.tensor_scatter_nd_add` encounters "Aborted (core dumped)".

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

# Generate input data
input_tensor = tf.zeros([15, 15, 15])
indices = tf.constant([[[0, 0, 0], [1, 1, 1]], [[2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5]], [[6, 6, 6], [7, 7, 7]], [[8, 8, 8], [9, 9, 9]], [[10, 10, 10], [11, 11, 11]], [[12, 12, 12], [13, 13, 13]], [[14, 14, 14], [0, 0, 0]], [[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]], [[5, 5, 5], [6, 6, 6]], [[7, 7, 7], [8, 8, 8]], [[9, 9, 9], [10, 10, 10]], [[11, 11, 11], [12, 12, 12]], [[13, 13, 13], [14, 14, 14]]])
updates = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0])  # Cast updates to float

# Invoke tf.tensor_scatter_nd_add
result = tf.tensor_scatter_nd_add(input_tensor, indices, updates)

# Print the result
print(result)
```


### Relevant log output

```shell
2024-03-10 14:59:51.853766: F tensorflow/core/framework/tensor_shape.cc:357] Check failed: d < dims() (1 vs. 1)
Aborted (core dumped)
```
