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Computation of neural network node by neural network inference circuit
Computation of neural network node by neural network inference circuit
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机译:神经网络推理电路的神经网络节点计算
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摘要
Some embodiments provide a neural network inference circuit (NNIC) for executing a neural network that includes multiple computation nodes, that include dot products, at multiple layers. The NNIC includes multiple dot product core circuits and a bus, including one or more aggregation circuits, that connects the core circuits. Each core circuit includes (i) a set of memories for storing multiple input values and multiple weight values and (ii) a set of adder tree circuits for computing dot products of sets of input values and sets of weight values stored in the set of memories. For a particular computation node, at least two of the core circuits compute partial dot products using input values and weight values stored in the memories of the respective core circuits and at least one of the aggregation circuits of the bus combines the partial dot products to compute the dot product for the computation node.
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机译:一些实施例提供了一种用于执行包括多层产品的多个计算节点的神经网络的神经网络推理电路(NNIN),其包括多层。 NNI N包括多个点产品核心电路和总线,包括一个或多个聚合电路,可以连接核心电路。 每个核路电路包括(i)一组存储器存储多个输入值和多重权重值和(ii)一组加法器树电路,用于计算输入值集的点产品和存储在一组存储器中的重量值 。 对于特定计算节点,至少两个核心电路计算使用存储在相应核心电路的存储器中的输入值和重量值的部分点产品,并且总线的聚合电路中的至少一个组合将部分点产品组合成计算 计算节点的点产品。
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