Can't build wheel for MacOs M1

[asapsmc]

System information

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOs M1 (12.0 Beta Monterey)
TensorFlow version and how it was installed (source or binary): 2.5.0 (pip)
TensorFlow-Addons version and how it was installed (source or binary): source, following instructions in #2503
Python version: 3.9.6
Is GPU used? (yes/no): NA
Describe the bug

Can't build wheel for tensorflow-addons in a conda environment.
Everything goes fine during:

git clone -b mywork https://github.com/tetsuyasu/addons.git/
cd addons
python3 ./configure.py
bazel build build_pip_pkg
pip install pathlib

but when I run bazel-bin/build_pip_pkg artifacts I get

AssertionError: would build wheel with unsupported tag ('cp39', 'cp39', 'macosx_11_0_arm64')
+ true
+ cp 'dist/*.whl' /Users/as/addons/artifacts
cp: dist/*.whl: No such file or directory

Other info / logs

Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

[bhack]

/cc @lgeiger

[bhack]

Can we close this?

[bhack]

@lgeiger I don't have the M1. Can you reproduce this? If not I will close it

[lgeiger]

@lgeiger I don't have the M1. Can you reproduce this? If not I will close it

I also don't have access to an M1 mac to reproduce this (I previously tested the wheels on a machine from a colleague).

I assume, that this is just due to an old version of some dependencies. I'd recommend trying again after:

python -m pip install wheel setuptools pip --upgrade

See pypa/wheel#381

[asapsmc]

@lgeiger: yes, this allows me to build the wheel.

[sun1638650145]

@lgeiger I don't have the M1. Can you reproduce this? If not I will close it

I also don't have access to an M1 mac to reproduce this (I previously tested the wheels on a machine from a colleague).

I assume, that this is just due to an old version of some dependencies. I'd recommend trying again after:

python -m pip install wheel setuptools pip --upgrade

See pypa/wheel#381

This method is really useful