oneDNN optimizations are enabled by default on X86 CPUs.OneDNN CPU performance optimizations Windows 圆4 & x86. Known Caveats Major Features and Improvements ,, ,, , Release 2.15.0 TensorFlow Breaking Changes This release contains contributions from many people at Google, as well as: If this layer is not used in conjunction with UpdateEmbeddingCallback the behavior of the layer would be same as. When this layer is used with an UpdateEmbeddingCallback, which is a time-based callback, the vocabulary lookup tensor is updated at the time interval set in the UpdateEmbeddingCallback based on the most up-to-date vocabulary hash table maintained by the layer. This layer maintains a hash table to track the most up-to-date vocabulary based on the inputs received by the layer and the eviction policy. DynamicEmbedding layer allows for the continuous updating of the vocabulary and embeddings during the training process. Release 2.16.0 TensorFlow Breaking Changes
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