samhodge commented on issue #9813: Unable to save gluon model to symbolic 
network : neural style
URL: 
https://github.com/apache/incubator-mxnet/issues/9813#issuecomment-366778617
 
 
   I have continued on further see
   
   
   `python main.py train --dataset dataset --style-folder images/styles 
--save-model-dir models --cuda 0
   `
   with
   
   
https://github.com/samhodge/incubator-mxnet/commit/949993f486eee117111bfeb801bea3acce417951
   
   yields
   
   `
     File "main.py", line 229, in <module>
       main()
     File "main.py", line 214, in main
       train(args)
     File "main.py", line 82, in train
       style_model.setTarget(style_image)
     File "/Users/sam/dev/incubator-mxnet/example/gluon/style_transfer/net.py", 
line 236, in setTarget
       F = self.model1(Xs)
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.py", line 
304, in __call__
       return self.forward(*args)
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.py", line 
516, in forward
       return self.hybrid_forward(ndarray, x, *args, **params)
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/nn/basic_layers.py",
 line 111, in hybrid_forward
       x = block(x)
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.py", line 
304, in __call__
       return self.forward(*args)
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.py", line 
507, in forward
       params = {i: j.data(ctx) for i, j in self._reg_params.items()}
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/block.py", line 
507, in <dictcomp>
       params = {i: j.data(ctx) for i, j in self._reg_params.items()}
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/parameter.py", 
line 389, in data
       return self._check_and_get(self._data, ctx)
     File 
"/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet/gluon/parameter.py", 
line 189, in _check_and_get
       "nested child Blocks"%(self.name,type(self)))
   RuntimeError: Parameter net0_instancenorm0_beta <class 
'mxnet.gluon.parameter.Parameter'> has not been initialized. Note that you 
should initialize parameters and create Trainer with Block.collect_params() 
instead of Block.params because the later does not include Parameters of nested 
child Blocks
   `

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