Conditions / example of DepSepConvolution fusion

https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#fusion-types says:

Depthwise Separable Convolution
A depthwise convolution with activation followed by a convolution with activation may sometimes be fused into a single optimized DepSepConvolution layer. The precision of both convolutions must be INT8 and the device's computes capability must be 7.2 or later.

Are there any other conditions? What types of activations are admissible?

Is there example of fusable graphs? (this is important especially given that convs must already be int8)

There is almost no example or mentions of DepSepConvolution/TRT in Google Search.

Wonder about constraints of Q-DQ and qparams.

Thank you :)