`SystemError` in `tf.raw_ops.ParallelConcat` when `dtype` of `shape` is `tf.qint16` or `tf.quint16`. 
Hi @xl1043237213 ,

As per documentation the `shape` of this Op should be :

> shape:	A [tf.TensorShape](https://www.tensorflow.org/api_docs/python/tf/TensorShape) or list of ints. the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension.

It works for list or tf.TensorShape . You are trying to pass a Tensor instead of TensorShape. Hence the error. Thanks for your response.🙂
It is an exception input, but when the `dtype`  of `shape` is `tf.int32` or other types, the code throws the error `TypeError`. I think `TypeError` is a correct error, but `SystemError` is an abnormal error. Hi @xl1043237213 ,

I tested the code snippet with tf-nightly and it is raising `InvalidArgumentError` . Attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/293743ef0d589e3d8e575937acc968b1/64928_r1.ipynb#scrollTo=6n0nTzA4tJWj) for reference. Could you please test and confirm the behaviour with nightly? Hi @SuryanarayanaY.
I found that the triggering of `SystemError` may be related to the execution environment. In the original environment, I updated the tf-nightly version and found that I could re-trigger `SystemError` in CPU execution environment. However, when I restarted the new colab environment,`SystemError` disappeared. Then, in the new environment, I tried to repeat the code execution 10 times and found that 7 times I could trigger `SystemError` and 3 times I could trigger `InvalidArgumentError`.

Below is the relevant colab link:
`SystemError` : https://colab.research.google.com/drive/160dforWR2pxr4xlpDnfl-aZzyNnCYTkF?usp=sharing
`InvalidArgumentError` : https://colab.research.google.com/drive/1dxxe2hLpYWYYDC8zNDpH1Q2uCybX9tMv?usp=sharing Hi @xl1043237213 ,

This seems inconsistent behaviour though this Op raising intended exception sometimes and other times exception followed by system error which is confusing.This is not a service denial or vulnerability issue though.

Escalating to SME for their comments. Thanks!

### 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?

The parameter `shape` of API `tf.raw_ops.ParallelConcat` cannot correctly filter tensor input with `dtype` as `qint16` or `quint16`, which will trigger a `SystemError`.

### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/drive/160dforWR2pxr4xlpDnfl-aZzyNnCYTkF?usp=sharing
```


### Relevant log output

```shell
SystemError: _PyEval_EvalFrameDefault returned a result with an exception set
```
