TensorFlow

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fishcharlie@eventfrontier.com

Were there major performance improvements between 2.12.0 and 2.18.0? (eventfrontier.com)

submitted 7 months ago by fishcharlie@eventfrontier.com to c/tensorflow@eventfrontier.com

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I had to downgrade from TensorFlow 2.18.0 to 2.12.0 recently so that I can turn my model into a CoreML model. And coremltools only supports TensorFlow 2.12.0.

After doing that, training my model is taking roughly 3-4x longer than it did on 2.18.0.

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[–] jack@lemmy.nz 1 points 7 months ago (2 children)

It could be to do with Keras 3 becoming the new default after 2.16.0. They also deprecated tensorflow-macos in favor of a unified installation method so it's possible internal changes made in the consolidated package account for the recent improvements.

[–] fishcharlie@eventfrontier.com 2 points 7 months ago (1 children)

Got it. Thanks for the reply! So is Keras just a dependency used in TensorFlow?

[–] jack@lemmy.nz 2 points 7 months ago

Yep, it essentially just provides a bunch of useful building blocks for networks and some time-saving tools so you don't have to create them yourself using TensorFlow primitives.