MobileNet-Caffe
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BatchNorm consuming a lot of time
Hi shicai,
Have you evaluated the time performance of mobilenetv1 & v2? I found that the bn layer and linear layer are very time consuming both in CPU-only and GPU-only cases. Is the eps setting really necessary for the BN layer?
Try to use the DepthwiseConvolution layer instead of Convolution type, if the group parameter is not 1. The DepthwiseConvolution implementation can be found here
Can someone update the time performance for mobilenets? i am getting it ~300ms for googlenet. Want to verify if its correct. tested on S10