GAN network compression method, apparatus and device, and storage medium

The invention discloses a GAN network compression method, apparatus and device, and a storage medium. The method comprises the steps of: for a to-be-compressed GAN network, repalcing an original operator of each layer with at least one candidate operator, wherein the output of each layer is composed of the output of each candidate operator after replacement of each layer, and the calculated amountof the candidate operators is less than calculated amount of replaced original operator; initializing parameters and weights of the candidate operators in the GAN network, alternately updating a generation network G and a discrimination network D until the GAN network converges, and on the basis of the final weights of the candidate operators in each layer in the convergent GAN network, determining the finally reserved operator of each layer to obtain a compressed GAN network. According to the scheme of the invention, the generation network G and the discrimination network D in the GAN network are compressed at the s