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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