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  2. github.com/tensorflow/tensorflow

    RELEASE.md 

        *   Promote `tf.data.experimental.sample_from_datasets` API to
        `tf.data.Dataset.sample_from_datasets` and deprecate the experimental
        endpoint.
    *   Added `TF_GPU_ALLOCATOR=cuda_malloc_async` that use cudaMallocAsync from
        CUDA 11.2. This could become the default in the future.
*   TF SavedModel:
    *   Custom gradients are now saved by default. See
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