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  1. RELEASE.md

            checkpoint with a root object. This allows users to create a
            `Checkpoint` object that is compatible with Keras `model.save_weights()`
            and `model.load_weights`. The checkpoint is also compatible with the
            checkpoint saved in the `variables/` folder in the SavedModel.
        *   When restoring, `save_path` can be a path to a SavedModel. The function
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  2. .bazelrc

    # This is the same as the official TensorFlow builds.
    # See https://developer.nvidia.com/cuda-gpus#compute
    # `compute_XY` enables PTX embedding in addition to SASS. PTX
    # is forward compatible beyond the current compute capability major
    # release while SASS is only forward compatible inside the current
    # major release. Example: sm_80 kernels can run on sm_89 GPUs but
    # not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
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