Artificial intelligence processor architecture for dynamic scaling of neural network quantization

Various embodiments include methods and apparatus for processing a neural network by an artificial intelligence (AI) processor. Embodiments may include receiving AI processor operating condition information, dynamically adjusting an AI quantization level of a segment of a neural network in response to the operating condition information, and processing the segment of the neural network using the adjusted AI quantization level. 各个实施例包括用于由人工智能(AI)处理器对神经网络进行处理的方法和设备。各实施例可包括：接收AI处理器操作条件信息，响应于该操作条件信息而动态地调整神经网络的分段的AI量化水平，以及使用经调整的AI量化水平来对该神经网络的该分段进行处理。