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NEURAL NETWORK ENGINE WITH TILE-BASED EXECUTION

机译:具有基于区块的执行力的神经网络引擎

摘要

An accelerator for neural network computing includes hardware engines and a buffer memory. The hardware engines include a convolution engine and at least a second engine. Each hardware engine includes circuitry to perform neural network operations. The buffer memory stores a first input tile and a second input tile of an input feature map. The second input tile overlaps with the first input tile in the buffer memory. The convolution engine is operative to retrieve the first input tile from the buffer memory, perform convolution operations on the first input tile to generate an intermediate tile of an intermediate feature map, and pass the intermediate tile to the second engine via the buffer memory.
机译:用于神经网络计算的加速器包括硬件引擎和缓冲存储器。硬件引擎包括卷积引擎和至少第二引擎。每个硬件引擎都包括执行神经网络操作的电路。缓冲存储器存储输入特征图的第一输入区块和第二输入区块。第二输入区块与缓冲存储器中的第一输入区块重叠。卷积引擎用于从缓冲存储器中检索第一输入区块,对第一输入区块执行卷积运算以生成中间特征图的中间区块,并且将中间区块经由缓冲存储器传递给第二引擎。

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