Sorry, I encountered a problem. When I trained the model “shuffleNetv2” on GPU, I found it that the speed of training was very fast, having obvious advantages than other CNN models. However, the speed of inference on cpu was slower than that of other CNN models obviously, thus, I would know is there some problems in my experiments? Please give me some solutions if possible? Thanks a lot!