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What is the primary purpose of the TensorFlow Lite XNNPACK delegate for CPU?
a) To optimize TensorFlow Lite models for performance on mobile devices by utilizing efficient CPU operations.
b) To enable GPU acceleration for TensorFlow Lite models on mobile devices.
c) To enhance the model training process using cloud-based resources.
d) To support distributed training across multiple CPUs.



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