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Add addons to top-level modules #718
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Hi @fsx950223 could you further explain what you're requesting? Are you asking for Addons to be a dependency of TF-Core just as Estimator is? If so it is highly unlikely to ever be a dependency as there is a major push for modular tensorflow: |
For example: import tensorflow as tf
image=tf.addons.image.rotate(image) rather than I have to use import tensorflow_addons as tfa
image=tfa.image.rotate(image) Tensorflow_addons dynampic mounts to tensorflow. |
Understood. While I agree this would be a nice change for the end-user; that strategy has created a bit of a tangled mess for packaging TF. See this new RFC: It creates a circular dependency because TFA depends on TF and TF depends on TFA. Going forward it looks as though every component of the TF ecosystem will be it's own import (see RFC) Closing, but thanks for the suggestion and we're always looking for end-user improvements! |
Describe the feature and the current behavior/state.
Add addons to top-level modules just like estimator for convenient
Relevant information
Which API type would this fall under (layer, metric, optimizer, etc.)
tensorflow.addons
Who will benefit with this feature?
addons users
Any other info.
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