Patent ID: 11915117
Assignee: TEXAS INSTRUMENTS INCORPORATED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
performing, using an electronic device, a training of a convolutional neural network (CNN) to generate coefficients associated with a layer of the CNN;
tuning, using the electronic device, the layer of the CNN by at least:
selecting some of the coefficients based on a sparsity target representative of a ratio of a number of zero coefficients to a total number of the coefficients of the layer; and
setting the selected coefficients to zero; and

for each respective nonzero coefficient of the coefficients, performing, using the electronic device, a block multiply accumulation (BMA) operation, wherein the BMA operation multiplies the respective nonzero coefficient with an input data block corresponding to the respective nonzero coefficient.