> Yes, I believe the MobilenetV2 relu_6 is effectively fused in by the > downscale saturation. You might need it if you want to support their way of > training, though. > > Yes Mobilenet has the q_add, but I suggest the Inceptionv3 for q_concatenate, > since it also has concat nodes feeding into concat nodes, and tflite also has > to rescale inputs inside the concat operations.
Make sense. For now, I was thinking of not worrying about depth-wise conv. So, decided to take Inception V3 into account. I think given we are in the starting position, I don't have any big inclination towards any network. My motive is to focus on getting the right infrastructure in the start and showcase it with one large network. The performance micro-optimizations can then phased. -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/2351#issuecomment-496996627
