`SystemError` in `tf.raw_ops.ParallelConcat` when `dtype` of `shape` is `tf.qint16` or `tf.quint16`. about tensorflow

[SuryanarayanaY]

Hi @xl1043237213 ,

As per documentation the shape of this Op should be :

shape: A 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.

[xl1043237213]

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.

[SuryanarayanaY]

Hi @xl1043237213 ,

I tested the code snippet with tf-nightly and it is raising InvalidArgumentError . Attached gist for reference. Could you please test and confirm the behaviour with nightly?

[xl1043237213]

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