tf.raw_ops.GatherV2 api doc page does not properly describe the argument 'batch_dims' 
Hi @meghendra ,

Thanks for your time in bringing this. Basically `tf.raw_ops` not meant for end users but for library writers and hence documentation is not much exhaustive. There is equivalent high level API for this which is [tf.gather](https://www.tensorflow.org/api_docs/python/tf/gather). 

However your pointed information is related to Argument description I agree to that it should have some explanation on argument. Hence I can add the same description that is there in `tf.gather` API for the argument `batch_dims` which is mentioned below.I would like to append this line to existing description.

`The number of batch dimensions. Must be less than or equal to rank(indices)`

Thanks!
<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Documentation Bug

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

tf 2.12.0

### Custom Code

Yes

### OS Platform and Distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

The doc page for `tf.raw_ops.GatherV2` [here](https://www.tensorflow.org/api_docs/python/tf/raw_ops/GatherV2) does not describe how `batch_dims` is used in the operator. I found one stack overflow comment [here ](https://stackoverflow.com/questions/58194682/how-to-set-the-parameter-batch-dims-in-tf-gather-nd-tensorflow) that says:

``batch_dims=N informs TF that the first N dimensions of the tensor are batch dimensions...``

If this is indeed correct, it should be included in the doc page. Otherwise the behavior of `batch_dims` parameter is difficult to understand.

### Standalone code to reproduce the issue

```shell
Its a missing detail in the documentation for `tf.raw_ops.GatherV2.
```


### Relevant log output

_No response_</details>