SeparableConv enables a much greater range of low power, low latency models. MobileNet and other low cost high performance networks generally utilizes SeparableConv for it's efficiency. I am building a real probabilistic inference version of a MobileNet which uses SeparableConv. I am using regular tfp convolution ops for now for initial validation but it is much less efficient and will not be fit for production use.
Thanks!