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@qlzh727 qlzh727 commented Nov 3, 2021

Since Keras 2.7 is not compatible with tf 2.6, we should limit the Keras version used in tf.

This change has been done for tf 2.7 and all the future releases.

Since Keras 2.7 is not compatible with tf 2.6, we should limit the Keras version used in tf.

This change has been done for tf 2.7 and all the future releases.
@qlzh727 qlzh727 requested a review from mihaimaruseac November 3, 2021 18:17
@google-cla google-cla bot added the cla: yes label Nov 3, 2021
@chensun
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chensun commented Nov 3, 2021

@qlzh727 as a follow up to this fix, should we yank https://pypi.org/project/tensorflow/2.6.1/?

@chensun
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chensun commented Nov 3, 2021

@qlzh727 as a follow up to this fix, should we yank https://pypi.org/project/tensorflow/2.6.1/?

nvm, older versions would suffer the same issue. Maybe the best solution is to release 2.6.2 soon with this fix.

@qlzh727
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qlzh727 commented Nov 3, 2021

Yes, we are building a new tf 2.6 (should be 2.6.2).

@matthewfeickert
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Yes, we are building a new tf 2.6 (should be 2.6.2).

Thank you very much for doing this so fast! It is highly appreciated. 👍

@idohi
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idohi commented Nov 4, 2021

Would it be possible to install the 2.6.2 using pip install?

@matthewfeickert
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matthewfeickert commented Nov 4, 2021

Would it be possible to install the 2.6.2 using pip install?

Yes. TensorFlow v2.6.2 was just cut (minutes ago 🚀) so it should be up on PyPI soon I would assume.

@matthewfeickert
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@idohi and now less than 30 minutes later v2.6.2 is up on PyPI. 🎉

@mihaimaruseac
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TF 2.6.1 is also relevant, we shouldn't yank it.

TF 2.6.2 has all the fixes

@sara-02
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sara-02 commented Feb 9, 2022

Facing this issue with tf 2.6.0 on colab. 2.6.1 and 2.6.2 work fine and show keras version 2.6.0.

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6 participants