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tensorflow_addons tutorial #2537

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rosas-github opened this issue Aug 2, 2021 · 7 comments
Closed

tensorflow_addons tutorial #2537

rosas-github opened this issue Aug 2, 2021 · 7 comments

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@rosas-github
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System information

  • macOS 11.5.1 (Big Sur) Macbook Air M1 2020

Hi! Would you help with a tutorial for installing Tensorflow and tensorflow_addons in this system?

@LiuShaohan
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System information

  • macOS 11.5.1 (Big Sur) Macbook Air M1 2020

Hi! Would you help with a tutorial for installing Tensorflow and tensorflow_addons in this system?

#2503

--参考上面这个链接。--Refer to the link above.

@lgeiger
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lgeiger commented Sep 13, 2021

The newest tfa-nightly release ships with prebuilt Python 3.8 and 3.9 wheels for M1 Macs. So the next stable release should have full support. @bhack Do you think it would be good to trigger a 0.13.1 release? For 0.14.1 I guess it makes sense to wait until tensorflow-macos 2.6.0 is released.

@bhack
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bhack commented Sep 13, 2021

Ok /cc @seanpmorgan what do you think?

@seanpmorgan
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Generally in support of 0.13.1 release on tensorflow-macos 2.5 but will hold off a day or two to see if we can settle our strategy on this:
#2559 (comment)

@rosas-github
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Sorry, but I still didn't quite understand how to install tensorflow and tensorflow-addons on M1 macos big sur 11+.

@asapsmc
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asapsmc commented Sep 27, 2021

@rosas-github : I had the same problem as you, and found instructions to building the proper wheel with bazel here: #2503.

Nevertheless, I'm still having problems as I can't run tfa-related code on GPU. I tried with tfa-nightly but I'm still unable to use tf-addons. Always getting errors during model.fit if not explicitly select CPU ("with tf.device('/cpu:0')). I'm using tensorflow-deps 2.5.0, tensorflow-macos 2.5.0 and tensorflow-metal 0.1.2.
I'd also appreciate some guidance from the developers.

@seanpmorgan
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TensorFlow Addons is transitioning to a minimal maintenance and release mode. New features will not be added to this repository. For more information, please see our public messaging on this decision:
TensorFlow Addons Wind Down

Please consider sending feature requests / contributions to other repositories in the TF community with a similar charters to TFA:
Keras
Keras-CV
Keras-NLP

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