tf.raw_ops.Unbatch aborts with "Check failed: d < dims()"
[gist](https://colab.research.google.com/drive/195LWjd1yjbF2kSDYexlxay0a9UQHqBO0?usp=sharing) @Assoap tf.raw_ops.Unbatch is designed to split a batched tensor along the first dimension (batch dimension) into separate elements. However, a scalar tensor has no dimension to split along. This mismatch in dimensions (d < dims()) leads to the error. Could you please remove the tf.raw_ops.Unbatch call altogether. The scalar tensor already represents a single value. Please let us know if it helps?
Thank you! @sushreebarsa Thank you so much for your prompt reply. I was just wondering, why didn't the program raise any exceptions, such as ValueError, but instead crashed (core dumped) directly? @Assoap Generally this issue occurs when a program encounters a critical error and crashes. The core memory, which holds essential data for the program's execution, is dumped to a file for potential debugging. TensorFlow might not have explicit error handling for every possible scenario within tf.raw_ops.Unbatch.  If the internal checks fail due to unexpected input, the program might not have a proper way to recover and raise a user-friendly exception.

Thank you! > @Assoap Generally this issue occurs when a program encounters a critical error and crashes. The core memory, which holds essential data for the program's execution, is dumped to a file for potential debugging. TensorFlow might not have explicit error handling for every possible scenario within tf.raw_ops.Unbatch. If the internal checks fail due to unexpected input, the program might not have a proper way to recover and raise a user-friendly exception.
> 
> Thank you!

That means users don't need to report check fails and they will stay forever then? In that case it will be better to highlight the same in README.md so that users can save their time in reporting such unnecessary (?) issues no ?

CC: @mihaimaruseac 
 Would be recommended to fix/eliminate the check fails, but they should be treated as bugs, not security issues.
### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

tf 2.17

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 20.04.3 LTS

### Mobile device

_No response_

### Python version

Python 3.11.8

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

`tf.raw_ops.Unbatch` aborts with "Check failed: d < dims()"

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

tf.raw_ops.Unbatch(batched_tensor=tf.random.uniform([], dtype=tf.dtypes.float32, maxval=100000000),batch_index=tf.random.uniform([1], dtype=tf.dtypes.int64, minval=-100000000, maxval=1000000000),id=tf.random.uniform([4], dtype=tf.dtypes.int64, minval=-100000000, maxval=1000000000),timeout_micros=30,container="N/J,",shared_name="&o0n7W",)
```


### Relevant log output

```shell
2024-04-10 06:36:02.435578: F tensorflow/core/framework/tensor_shape.cc:357] Check failed: d < dims() (1 vs. 1)
Aborted (core dumped)
```
