Add WeightNorm wrapper layer#21276
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seanpmorgan wants to merge 1 commit intotensorflow:masterfrom
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Fix spelling.. Fix eager run without data_init
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+1 Can this be reviewed/merged? |
ctrlaltvikas
approved these changes
Oct 22, 2018
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Nagging Assignee @case540: It has been 105 days with no activity and this issue has an assignee. Please update the label and/or status accordingly. |
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+1 I'm already using this, it would be nice to see it in an official release. Thanks for all the work from contributors and reviewers. |
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This will be moved to a PR for tensorflow/addons. Closing for now to stop the nagging, but I'll reference this issue within a couple of weeks. |
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a weight normalization wrapper is available in https://github.com/tensorflow/addons/blob/master/tensorflow_addons/layers/wrappers.py |
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Adds a wrapper for Weight Normalization as requested in #14070 & #10125 .
Contains optional data dependent initialization for eager execution, and works on both keras.layers and tf.layers
I struggled to figure out where to place this Wrapper, as no other layers in contrib appear to subclass anything from tf.Keras, but going forward I believe this is the direction TF is headed. Please advise if it should go somewhere else (maybe a wrappers module in contrib?)
Collab Example:
https://colab.research.google.com/drive/1nBQSAA78oUBmi9fhnHJ_zWhHq2NXjwIc#scrollTo=au25bSP75hdr
Wrapped graph:
