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[New Feature]add normalized_emb #443

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[New Feature]add normalized_emb #443

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@jq jq commented Jul 2, 2024

Description

add DynamicLayerNormalization since tf LayerNormalization doesn't support dynamic shape

Brief Description of the PR:

Fixes # (issue)

Type of change

  • Bug fix
  • New Tutorial
  • Updated or additional documentation
  • Additional Testing
  • New Feature

Checklist:

  • I've properly formatted my code according to the guidelines
    • By running yapf
    • By running clang-format
  • This PR addresses an already submitted issue for TensorFlow Recommenders-Addons
  • I have made corresponding changes to the documentation
  • I have added tests that prove my fix is effective or that my feature works

How Has This Been Tested?

If you're adding a bugfix or new feature please describe the tests that you ran to verify your changes:
*

@@ -240,6 +241,100 @@ def get_kv_creator(mpi_size: int,
return de.CuckooHashTableCreator(saver=saver)


class DynamicLayerNormalization(LayerNormalization):
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Cool! It is really useful, and I recommend this layer could be a regular API, not only a demo.

from tensorflow.keras.layers import LayerNormalization


class DynamicLayerNormalization(LayerNormalization):
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It is recommended to keep the name of LayerNormalization and just use a different prefix sort of de.keras.layers.LayerNormalization. Accordingly, the import statement needs to be modified to from tensorflow.keras.layers import TFLayerNormalization

DynamicLayerNormalization


class DynamicLayerNormalizationTest(tf.test.TestCase):
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We'd better to have one case testing the scenario in which the new layer works with tfra API like the demo shows.

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