MXNet should support symbolic shape like TF does (I guess), but I have zero 
knowledge of it, and it's probably broken or out of maintenance or not 
compatible with deep NumPy api or something  :-|

Regarding ur second question, the performance should roughly be the same, since 
they are both doing reduction operation. (Maybe `npx.logsoftmax` could be 
faster)

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