`MultiWorkerMirroredStrategy`.
*   `tf.keras`:
    *   Added `experimental_aggregate_gradients` argument to
        `tf.keras.optimizer.Optimizer.apply_gradients`. This allows custom
        gradient aggregation and processing aggregated gradients in custom
        training loop.
    *   Allow `pathlib.Path` paths for loading models via Keras API.
*   `tf.function`/AutoGraph:

        "//tensorflow/compiler/mlir/quantization/stablehlo/python:pywrap_quantization_lib_impl",
        "//tensorflow/compiler/mlir/quantization/tensorflow/calibrator:custom_aggregator_op",
        "//tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_cc_impl",
        "//tensorflow/compiler/mlir/quantization/tensorflow:passes",
        "//tensorflow/compiler/mlir/tensorflow",