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Update OPQ_gpu_train_infer.py #436
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This code can be optimized by reducing redundant calculations, simplifying logic, and leveraging NumPy's vectorized operations for better performance. The original code has repeated calls to np.dtype(self.type).itemsize and uses inefficient loops for parsing data.
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This code can be optimized by reducing redundant calculations, simplifying logic, and leveraging NumPy's vectorized operations for better performance. The original code has repeated calls to np.dtype(self.type).itemsize and uses inefficient loops for parsing data.