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Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

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# Description In my previous tests, there was only one TFRA Embedding object passed into the trackables in the save loading function, even though there were multiple TFRA Embedding objects...

tensorflow: 2.8.0 tfra: 0.6.0 * I download my demo, the path is demo/dynamic_embedding/movielens-1m-keras-ps/movielens-1m-keras-ps.py。 Acoording to the file, I sh start.sh ,The bug is show 。 ![image](https://github.com/tensorflow/recommenders-addons/assets/108735397/0b735787-c83d-4b6b-8700-1a2f1348144f)

**After exporting the model for prediction, I found that setting de.enable_inference_mode() is required.** and comment is : **de.enable_inference_mode()** TrainableWrapper.read_value` is not thread-safe that causes threads competition and Out-Of-Bound exception in...

# Description Support more hkv evict strategy ## Type of change - [ ] Bug fix - [ ] New Tutorial - [ ] Updated or additional documentation - [...

# Description This will enable link-time optimization the base image, which will in turn enable us to compile RocksDB from source as a direct dependency of TFRA. ## Type of...

…iables with different properties # Description Brief Description of the PR: When multiple variable share same name with different properties in graph mode, reusing `Variable` in python makes only the...

**Code to reproduce the issue** ```python import tensorflow as tf import tensorflow_recommenders as tfra import tensorflow_recommenders_addons.dynamic_embedding as de def build_model(): embedding = de.keras.layers.Embedding( embedding_size=8, init_capacity=1000, restrict_policy=de.FrequencyRestrictPolicy, name='UserDynamicEmbeddingLayer', ) return tf.keras.Sequential([...

I'm trying to run the [dynamic embedding tutorial](https://github.com/tensorflow/recommenders-addons/blob/master/demo/dynamic_embedding/movielens-1m-keras-notebook/movielens_dynamic_embedding_tutorial.ipynb) on Colab, but Python 3.9 is no longer supported, which is the latest version that TFRA is built against. Is there any...

I tried to explore available approaches for distributed training of large-scale recommendation models with huge embedding tables and tried to use TFRA `DynamicEmbedding` combined with `MultiWorkerMirroredStrategy`. - Target task is...

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**System information** - OS Platform and Distribution : Ubuntu 20.04.4 - TensorFlow version and how it was installed (source or binary): 2.8.3 and binary - TensorFlow-Recommenders-Addons version and how it...