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-368286692 I have seen this: https://github.com/apache/incubator-mxnet/issues/6087 and I have also seen this: https://github.com/apache/incubator-mxnet/issues/4009 and I feel between the two of them there may be a reasonable way to save a neural style model that is independant of channels(3)*width(N)*height(M) currently the model is fixed in N and M at the point it is saved a symbolic model see https://github.com/samhodge/incubator-mxnet/blob/1d72d60495cd47423c572506e8042abe578bbd6a/example/gluon/style_transfer/main.py#L152-L155 and the width and height are passed in as args to even get it to work this far: https://github.com/samhodge/incubator-mxnet/blob/1d72d60495cd47423c572506e8042abe578bbd6a/example/gluon/style_transfer/main.py#L145 Any guidance would be greatly celebrated.
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