Small tips.
There will be two files, model.json and model.params .
If you need to use them in Gluon:
net = gluon.nn.SymbolBlock(
outputs = mx.sym.load('model.json'),
inputs = [mx.sym.Variable('data'), mx.sym.Variable('data2')] ## It depends on the inputs of network.
)
net.load_params('model.params', ctx = mx.cpu()) ## or mx.gpu() if you want.
## Then we can use this network like this
net(data1, data2) ## data1 and data2 are NDArrays. They are inputs of the network.
## Create dummy inputs if needed.
x = mx.sym.var('data')
x2 = mx.sym.var('data2')
y= net(x, x2) ## net is The HybridSequential blocks
y.save('model.json') ## save network structure to json file
model_params = net.collect_params()
model_params.save('model.params') ## save parameters
#######################################
## It is replaced by 'export' function
net.export('model')