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CONFIGURABLE PROCESSOR ELEMENT ARRAYS FOR IMPLEMENTING CONVOLUTIONAL NEURAL NETWORKS

机译:用于实现卷积神经网络的可配置处理器元素阵列

摘要

An exemplary apparatus disclosed herein includes an array of processor elements, the array including rows each having a first number of processor elements and columns each having a second number of processor elements. The disclosed exemplary apparatus also includes configuration registers for storing descriptors for configuring an array to implement a layer of a convolutional neural network based on a data flow schedule corresponding to a tensor processing template of a plurality of tensor processing templates, , the processor elements of the processor elements operate on input activation data and filter data associated with the layer of the convolutional neural network to generate output activation data associated with the layer of the convolutional neural network, based on the descriptors. is configured to implement the tensor processing template of The disclosed exemplary apparatus further includes a memory for storing input activation data, filter data, and output activation data associated with the layers of the convolutional neural network.
机译:这里公开的示例性装置包括处理器元件阵列,包括各行的阵列,每个阵列具有每个具有第二数量的处理器元件的第一数量的处理器元件和列。所公开的示例性装置还包括用于存储描述符的配置寄存器,用于配置阵列基于与多个TENTOR处理模板的张量处理模板对应的数据流调度来实现卷积神经网络的层,处理器元素处理器元件在与卷积神经网络层相关联的输入激活数据和滤波器数据上操作,以基于描述符生成与卷积神经网络层相关联的输出激活数据。被配置为实现所公开的示例性装置的张量处理模板,还包括用于存储与卷积神经网络的层相关联的输入激活数据,滤波器数据和输出激活数据的存储器。

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