Some `Check Failed` errors in `tf.raw_ops.Unbatch`
@xl1043237213 I was able to replicate the [issue](https://colab.research.google.com/gist/sushreebarsa/68c6ea1108e51ca696a00e2fcbc4c3ae/-6_tf_raw_ops_unbatch.ipynb#scrollTo=SunncZz3kS9g) here. Could you please ensure the input tensor has a batch dimension greater than 0. If you're working with a single sample, try to reshape it to have a batch dimension of 1. You can use tf.expand_dims(tensor, axis=0).
Thank you! Thanks for your answe.
I can avoid such errors by checking the input or modifying the input, but I think it's an unexpected execution behavior and hoping that TensorFlow can fix this bug.
### 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?

Some `Check Failed` errors in `tf.raw_ops.Unbatch`, 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/1JRw_-UwodqwPx87naMM04nnFLaLaZcXn?usp=sharing
```


### Relevant log output

```shell
Check failed: size >= 0 (0 vs. -1) Aborted (core dumped)
Check failed: d < dims() (1 vs. 1) Aborted (core dumped)
Check failed: new_num_elements == NumElements() (6 vs. 18) Aborted (core dumped)
```
