* \*fft\* ops now support dtensors with any layout. Fixed bug in 'fft2d/fft3d', 'ifft2d/ifft3d', 'rfft2d/rfft3d', and 'irfft2d/irfft3d' for sharde input. Refer to this [blog post](https://blog.tensorflow.org/2023/08/distributed-fast-fourier-transform-in-tensorflow.html) for details.

*  `tf.experimental.strict_mode`
    * Added a new API, `strict_mode`, which converts all deprecation warnings into runtime errors with instructions on switching to a recommended  substitute.

        "//tensorflow/lite:string_util",
        "//tensorflow/lite:util",
        "//tensorflow/python/grappler:cost_analyzer_lib",
        "//tensorflow/tools/graph_transforms:transform_graph_lib",
    ] + select({
        "//tensorflow/compiler/mlir/python:disable_mlir_config": [],
        "//conditions:default": [
            "//tensorflow/compiler/mlir/python:mlir",
        ],