Abstract: A pure integer quantization method for a lightweight neural network (LNN) is provided. The method includes the following steps: acquiring a maximum value of each pixel in each of the channels of the feature map of a current layer; dividing a value of each pixel in each of the channels of the feature map by a t-th power of the maximum value, t?[0,1]; multiplying a weight in each of the channels by the maximum value of each pixel in each of the channels of the corresponding feature map; and convolving the processed feature map with the processed weight to acquire the feature map of a next layer. The algorithm is verified on SkyNet and MobileNet respectively, and lossless INT8 quantization on SkyNet and maximum quantization accuracy so far on MobileNetv2 are achieved.

Abstract: A full-path circuit delay measurement device for a field-programmable gate array (FPGA) and a measurement method are provided. The measurement device includes two shadow registers and a phase-shifted clock, where the two shadow registers take an output of a measured combinational logic circuit as a clock and sample the phase-shifted clock SCLK as data; the two shadow registers are respectively triggered on rising and falling edges of the output of the measured combinational logic circuit to sample the phase-shifted clock; outputs of the two shadow registers are delivered by an OR gate as an input into a synchronization register; a clock of the synchronization register serves as a clock MCLK of the measured combinational logic circuit; an output of the synchronization register serves as that of the circuit delay measurement device; the phase-shifted clock SCLK and the clock MCLK of the measured combinational logic circuit have the same frequency.

Abstract: A full-path circuit delay measurement device for a field-programmable gate array (FPGA) and a measurement method are provided. The measurement device includes two shadow registers and a phase-shifted clock, where the two shadow registers take an output of a measured combinational logic circuit as a clock and sample the phase-shifted clock SCLK as data; the two shadow registers are respectively triggered on rising and falling edges of the output of the measured combinational logic circuit to sample the phase-shifted clock; outputs of the two shadow registers are delivered by an OR gate as an input into a synchronization register; a clock of the synchronization register serves as a clock MCLK of the measured combinational logic circuit; an output of the synchronization register serves as that of the circuit delay measurement device; the phase-shifted clock SCLK and the clock MCLK of the measured combinational logic circuit have the same frequency.

Abstract: A pure integer quantization method for a lightweight neural network (LNN) is provided. The method includes the following steps: acquiring a maximum value of each pixel in each of the channels of the feature map of a current layer; dividing a value of each pixel in each of the channels of the feature map by a t-th power of the maximum value, t?[0,1]; multiplying a weight in each of the channels by the maximum value of each pixel in each of the channels of the corresponding feature map; and convolving the processed feature map with the processed weight to acquire the feature map of a next layer. The algorithm is verified on SkyNet and MobileNet respectively, and lossless INT8 quantization on SkyNet and maximum quantization accuracy so far on MobileNetv2 are achieved.