I want to know the relation between gluon api and symbol api ,
what are some detailes,
as some example show, symbol use module to init weights and optimizer
gluon can use trainer to do it.
for a code mix gluon and symbol (for example, gluon.nn.Conv2d and sym.Convolution )
how can i unify them into a module and passed training
if a use gluon api output as symbol api input it may works, that the gluon output
is solely a symbol object, and i used mixed conclusion of symbol (with gluon api in it)
and use list_arguments the weight produce by gluon api in the arguments,
so can I use module to init the final symbol and train it ?