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Upgrad tensorflow dependency from Tensorflow 2.3.2 to Tensorflow 2.5.0 #8865

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PranitModak opened this issue Jun 14, 2021 · 3 comments
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area:rasa-oss 🎡 Anything related to the open source Rasa framework type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR

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@PranitModak
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Description of Problem:

Current version of tensorflow(2.3.2) being used in Rasa 2.7.0 is having some vulnerabilities

due to which we are unable to implement it. Manually upgrading tensorfow to 2.5.0, causes issue as tensorflow.python.keras.engine.training.py does not have function enable_multi_worker in the latest version of tensorflow.

Overview of the Solution:

Either omit the dependency on the function enable_multi_worker while training a model or increase tensorflow version dependency to 2.5.0.

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Definition of Done:

@PranitModak PranitModak added area:rasa-oss 🎡 Anything related to the open source Rasa framework type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR labels Jun 14, 2021
@sara-tagger
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Thanks for submitting this feature request 🚀 @aeshky will get back to you about it soon! ✨

@alopez
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alopez commented Jun 17, 2021

@koernerfelicia I believe you are already looking into this in #8700.

@koernerfelicia
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@alopez , yep closing this as a duplicate of #7619 and #8700

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Labels
area:rasa-oss 🎡 Anything related to the open source Rasa framework type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR
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