Device used for realizing a neural network processor with variable calculation precision
A neural network and processor technology, applied in the field of dedicated circuit computing devices, can solve the problem of no significant improvement in energy consumption and computing speed, and achieve the effects of reducing on-chip storage, reducing energy consumption, and ensuring computing accuracy
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[0048] After research, the inventor found that the accuracy requirements of each network layer of the neural network are not the same. If the accuracy of the original data is used for storage and calculation without distinction for each network layer, it is a waste of computing resources and energy consumption. . Even if the existing technology quantifies the accuracy required by each network layer through software as mentioned in the background art, if the hardware structure of the processor is not changed, the hardware energy consumption and computing speed cannot be significantly improved. Therefore, the inventor believes that in order to solve the problems in the prior art, it is necessary to provide a dedicated neural network processor with variable calculation precision and provide a corresponding hardware structure to realize the adjustment of the precision of the neural network data.
[0049] Based on the particularity of the neural network algorithm, it has a certain ...
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