Fixed-point multiplication and addition operation unit and method suitable for mixed precision neural network

Abstract

The invention discloses a fixed-point multiply-add operation unit and method suitable for a mixed precision neural network, and the method comprises the steps: inputting different input data precisions into a multiplier from different positions, controlling the multiplier to shield a partial product of a designated region according to a mode signal, and then outputting a partial product generation part, and carrying out summation operation on the output partial product generation part according to methods corresponding to different precisions, so as to achieve point multiplication operation of mixed precisions. According to the invention, the point multiplication operation of the mixed precision neural network can be realized by adopting one multiplier, and the problems of overlarge hardware overhead, redundant idle resources and the like caused by the need of adopting various processing units with different precisions to process the mixed precision operation in the prior art are solved.

Description

technical field [0001] The invention relates to the field of digital circuits, in particular to a fixed-point multiplication and addition operation unit and method suitable for mixed-precision neural networks. Background technique [0002] At present, artificial intelligence algorithms are widely used in many commercial fields. In order to improve the performance of network computing, the quantization of different layers of the network is one of the important methods to improve the efficiency of network computing. As the calculation carrier for algorithm implementation, artificial intelligence chips have an increasing demand for mixed-precision calculations in the process of data processing in order to meet the characteristics of network design. Conventional processors use a variety of different precision processing units to process mixed precision operations. This method causes excessive hardware overhead, redundant idle resources, and excessive delays when switching betwee...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a fixed-point multiplication and addition operation unit and method suitable for mixed-precision neural networks in view of the above-mentioned defects of the prior art, aiming to solve the problem of using a variety of different precisions in the prior art. The unit processes mixed-precision operations, resulting in excessive hardware overhead, redundant idle resources, etc.

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