Check failed and other errors in tf.unstack when dtype of axis is uint64.

[xl1043237213]

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

No response

Bazel version

No response

GCC/compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current behavior?

axis of tf.unstack does support inputs with dtype uint64, which produces odd error messages such as "ValueError: Argument axis = 1 not in range [-2, 2)". Meanwhile, rather oddly, the axis = tf.constant(1, dtype=tf.uint64) triggers OverflowError, and and repeating this error triggers Check failed. See the colab link below for details.

Standalone code to reproduce the issue

https://colab.research.google.com/drive/10Eruvnb1cArC2SBz010lDNIKVd9VRd3i#scrollTo=ZOa0hboFxZ8B

Relevant log output

Check failed: !PyErr_Occurred()
Aborted (core dumped)

[tilakrayal]

@xl1043237213,
The args axis for the API tf.unstack should work with int as mentioned with the document. Here you are trying with the uint64 which is not supported. I tried with the int and it was executed as expected. Kindly find the gist of it here.

https://www.tensorflow.org/api_docs/python/tf/unstack#args

Thank you!

[svkgn4DL]

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

No response

Bazel version

No response

GCC/compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current behavior?

axis of tf.unstack does support inputs with dtype uint64, which produces odd error messages such as "ValueError: Argument axis = 1 not in range [-2, 2)". Meanwhile, rather oddly, the axis = tf.constant(1, dtype=tf.uint64) triggers OverflowError, and and repeating this error triggers Check failed. See the colab link below for details.

Standalone code to reproduce the issue

https://colab.research.google.com/drive/10Eruvnb1cArC2SBz010lDNIKVd9VRd3i#scrollTo=ZOa0hboFxZ8B

Relevant log output

Check failed: !PyErr_Occurred()
Aborted (core dumped)

Users expect it to raise some exception incase of invalid input and not definitely the crash.