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RELEASE.md
as `tf.tpu.experimental.embedding.serving_embedding_lookup` which can take arbitrary rank of dense and sparse tensor. For ragged tensor, though the input tensor remains to be rank 2, the activations now can be rank 2 or above by specifying the output shape in the feature config or via the build method. * Add
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docs/de/docs/index.md
* Fortgeschrittenere (aber ebenso einfache) Techniken zur Deklaration **tief verschachtelter JSON-Modelle** (dank Pydantic). * **GraphQL** Integration mit <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> und anderen Bibliotheken. * Viele zusätzliche Funktionen (dank Starlette) wie: * **WebSockets** * extrem einfache Tests auf Basis von `httpx` und `pytest` * **CORS**
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docs/en/docs/release-notes.md
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