eager-friendly training step inside of a `tf.function`. With this
    *   All input types are converted to `Dataset`.
    *   The path assumes there is always a distribution strategy. when
        distribution strategy is not specified the path uses a no-op
        distribution strategy.
    *   The training step is wrapped in `tf.function` unless `run_eagerly=True`
        is set in compile. The single path execution code does not yet support

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* 👷 Do not use Python packages cache for publish. PR [#11366](https://github.com/tiangolo/fastapi/pull/11366) by [@tiangolo](https://github.com/tiangolo).
* 👷 Add CI to test sdists for redistribution (e.g. Linux distros). PR [#11365](https://github.com/tiangolo/fastapi/pull/11365) by [@tiangolo](https://github.com/tiangolo).